Overview

As of writing this analysis, public commentary widely documents how generative artificial intelligence (GenAI) has changed the labour market landscape. Optimistically, existing scholarship highlights that labour market productivity has gained due to the AI boost (Brynjolfsson et al., 2023; Eloundou et al., 2023). Pessimistically, AI-driven automation may displace human labour, raising concerns about occupational displacement among workers performing tasks vulnerable to automation (Acemoglu & Restrepo, 2019; OECD, 2023). When discussing the intersection between GenAI and the labour market, the demographic population being affected the most is arguably the younger workforce, especially Gen Z. This analysis is written to examine how Gen Z workers, compared to their millennial counterparts, have engaged with GenAI in recent years. Upon conducting descriptive statistical analysis, we find that GenAI adoption among Gen Z and millennial workers rose substantially from 2024 to 2025. Also, occupational displacement anxiety rose in parallel with adoption, and the share of Gen Z workers stating that they would reorient their job search towards roles perceived as safer from artificial intelligence (AI) disruption grew substantially from 2024 to 2025. Moreover, from a human-capital perspective, the rate at which Gen Z workers reported completing or intending to take GenAI training was lower than the corresponding rates of growth in both adoption and occupational displacement anxiety.

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Methodology

The data presented in this analysis are drawn from the openly licensed Gen Z, Social Media, Society and Technology (Gen Z SMST) dataset, deposited on Harvard Dataverse. Following a virtual meeting with a commissioning editor at Bristol’s Intellect Books, I programmatically compiled, curated and documented this Gen Z SMST dataset for secondary data collection to support my monograph writing on Gen Z, work ethics, social values, political values, social media use, GenAI use, mental health and their differences from the preceding generations (note: my upcoming book is tentatively entitled “Mindsets and Work Ethics of Gen Z: From Reality to Social Media”). I then programmatically extracted part of the variables from the Gen Z SMST dataset that are directly related to Gen Z, GenAI and work attitudes for descriptive data analysis to develop this analysis.

All data featured in this analysis are originally sourced from three Deloitte reports, published between 2024 and 2025, covering 44 global countries. The first data source is the Deloitte Global Gen Z and Millennial Survey 2024, where data were collected between November 2023 and March 2024 with a total sample of 22,841 respondents (Deloitte, 2024a). The second data source is the Deloitte Global Gen Z and Millennial Survey 2025, where data were collected in late 2024 (Deloitte, 2025). The third data source is the Deloitte Global Gen Z and Millennial Survey: Mental Health Deep Dive 2024, which provided gender-stratified nuances on attitudes towards GenAI between November 2023 and March 2024 (Deloitte, 2024b).

Results

Figure 1 reports the occupational adoption of GenAI between 2024 and 2025, comparing Gen Z respondents with their millennial counterparts. In 2024, 27% of Gen Z workers and 34% of millennial counterparts reported that they never used GenAI at work, while 26% and 22% respectively claimed that they used such technology frequently. By 2025, the generational gaps had narrowed considerably. A total of 57% of Gen Z workers and 56% of millennial counterparts reported that they already used GenAI to some extent at work, and 30% each claimed that they used such technology very often. In 2024, Gen Z workers reported higher GenAI adoption than millennials in occupational settings. However, by 2025, both generations were adopting GenAI at almost equivalent rates. Such findings align with existing scholarship that highlights the rapid diffusion of GenAI tools in the UK context during the same period (Ofcom, 2025). Additional literature documents the responsive firm-level GenAI deployment decisions to facilitate AI adoption (Brynjolfsson et al., 2023).

Figure 1: GenAI Adoption at Work, Gen Z vs Millennials (2024-25)

Source: Deloitte Global Gen Z and Millennial Surveys 2024 and 2025.

Figure 2 features the three top-cited functional applications of GenAI at work in 2025 from the Gen Z SMST dataset. Among Gen Z users, 39% reported that they used GenAI for data analysis, 37% for content creation and 36% for design and creative work. Comparatively, 42% of millennial users rely on GenAI for data analysis, 39% for content creation and 36% for design and creative work. Additional data from the Gen Z SMST dataset shows that 28% of users across both generations were attracted to using GenAI at work due to the simplification of routine tasks and the resulting increase in efficiency. Existing literature (e.g., Eloundou et al., 2023; Felten et al., 2021) believes that task-oriented jobs, including data analysis and content creation work, are classified as augmentable rather than fully automatable in the short term. This implies that, at the time of these surveys, GenAI was, on the whole, more likely to complement than to displace workers performing such tasks.

Figure 2: What GenAI Is Used for at Work (2025)

Source: Deloitte Global Gen Z and Millennial Surveys 2024 and 2025.
Note: Base = respondents using GenAI at work.

Figure 3 dissects the self-assessed (expected in 2024, and actual in 2025) benefits of GenAI use among those survey respondents who reported using such technology. In 2024, 80% of Gen Z frequent users and 84% of millennial frequent users expected that GenAI would free up time and improve work-life balance, and 79% and 86% respectively believed that it would improve their ways of working. In 2025, 78% of Gen Z and 82% of millennial users reported an actual improvement in the quality of their work; in addition, 77% and 79% respectively reported that GenAI had freed up their time. It is noteworthy that the 2024 figures refer to a self-selected subgroup of frequent GenAI users, while the 2025 figures belong to general GenAI users (regardless of whether they are self-reportedly frequent users or not). 

Figure 3: Reported Benefits among GenAI Users (2024-25)

Source: Deloitte Global Gen Z and Millennial Surveys 2024 and 2025.

Figure 4 plots the year-on-year movement in occupational displacement anxiety and the strategic labour market response between 2024 and 2025. The share of Gen Z respondents who worried that GenAI would eliminate jobs rose from 59% in 2024 to 63% in 2025; the corresponding share of the millennial counterparts increased from 59% to 65% during the course. Additionally, the share who reported that they would actively look for jobs perceived as safe from GenAI disruption rose from 60% to 66% for Gen Z and from 63% to 68% for millennials. When being asked whether younger generations would find it harder to enter the workforce because of GenAI, 59% of Gen Z respondents in 2024 and a combined of 61% from both Gen Z and millennial respondents in 2025 agreed with the question. While Figure 1 documents the increasing GenAI adoption in the occupational settings, Figure 4 indicates that occupational displacement anxiety also rose over the same period.

Figure 4: Displacement Worry and Strategic Response (2024-25)

Source: Deloitte Global Gen Z and Millennial Surveys 2024 and 2025.

Figure 5 describes the training and reskilling responses between 2024 and 2025. The share of Gen Z respondents who had already completed GenAI training was 17% in both 2024 and 2025; the millennial figure rose from 16% to 19% during the course. The share of Gen Z respondents planning to take such training and reskilling programmes in the next 12 months fell slightly, from 38% in 2024 to 36% in 2025. However, the share of millennial respondents planning for upskilling rose marginally, from 36% in 2024 to 37% in 2025. Additional data from the Gen Z SMST dataset suggest that just over half of Gen Z respondents in 2024 reported that their employer was providing GenAI training to staff, and 59% in 2025 believed that GenAI skills were required for career advancement. Moreover, 72% of Gen Z respondents argued in 2025 that their employers placed balanced emphasis on both technical and soft skills. These figures may imply that the human capital advancement response rate did not grow as fast as the GenAI adoption and occupational displacement anxiety rates.

Figure 5: Training and Reskilling Response (2024-25)

Source: Deloitte Global Gen Z and Millennial Surveys 2024 and 2025.

Figure 6 details the gender-stratified attitudes towards GenAI among women in 2024. Gen Z women and millennial women each had 28% who found GenAI made them feel uncertain. Both groups of women reported higher uncertainty than the overall cohorts (overall cohorts: 24% for Gen Z, 26% for millennials), implying that uncertainty was higher among women than among their male counterparts. Such an observation aligns with existing scholarship that highlights the presence of gendered technology adoption attitudes (West et al., 2019). Also, 54% of Gen Z women and 52% of millennial women agreed that they were comfortable working alongside GenAI. Moreover, 44% and 43% respectively believed that GenAI would improve the way they work. The pattern indicates that the female workers, despite their uncertainty, were more likely to think that the AI adoption would be conducive to their work.

Figure 6: GenAI Sentiment among Women (2024)

Source: Deloitte Global Gen Z and Millennial Survey: Mental Health Deep Dive 2024

Table 1 summarises the key descriptive statistics we have discussed above by classifying relevant variables extracted from the Gen Z SMST dataset into five clusters, namely adoption, functional use, benefits, anxiety and training. The figures presented in the Gen Z and millennials columns allow readers to easily compare the attitudes towards using GenAI between the two generations. Researchers, data scientists, and policy research teams seeking a more comprehensive view of these attitudes may consult the Gen Z SMST dataset, which is openly available on Harvard Dataverse.



Table 1: Summary of Generational Comparisons on Attitudes on Using Generative AI

Source: Deloitte Global Gen Z and Millennial Surveys 2024 and 2025.

Discussion & Conclusions

GenAI diffusion and adoption in occupational settings among Gen Z and millennial workers have been rapid. Based on the Deloitte survey data, released in 2024 and 2025, the overall perceived benefits of using GenAI at work were high, while the occupational displacement anxiety was rising. There are a number of policy implications suggested by the descriptive statistics. First, there was a lack of training and upskilling provision, regardless of being employer-led, publicly subsidised or delivered through higher education. Based on our data, over one-third of Gen Z and millennials said they planned to upskill in the next 12 months in 2024, but under 20% of survey respondents actually self-reported that they received training in 2025. These data suggest that a portion of Gen Z and millennial workers failed to undertake training that they had previously stated they intended to undertake, despite acknowledging that reskilling would be conducive to their long-term career development. Second, the gender-stratified statistics indicate that the design of training and reskilling interventions should take heightened GenAI-induced uncertainty by women into account. By implication, male respondents in the same waves were comparatively more likely to perceive GenAI as useful in their work. Overall, policymakers should implement targeted interventions encouraging younger workers to undertake reskilling, so that they can adapt to the diffusion of GenAI in occupational settings. Such policy interventions should be gender-sensitive in order to ensure that both female and male beneficiaries can enjoy a higher degree of subjective value on the usefulness and benefits of using GenAI for work.

References

1. Acemoglu, D., & Restrepo, P. (2019). Automation and new tasks: How technology displaces and reinstates labour. Journal of Economic Perspectives, 33(2), 3–30.https://doi.org/10.1257/jep.33.2.3

    2. Brynjolfsson, E., Li, D., & Raymond, L. (2023). Generative AI at work (NBER Working Paper No. 31161). National Bureau of Economic Research.https://doi.org/10.3386/w31161

    3. Deloitte. (2024a). 2024 Deloitte global Gen Z and Millennial survey. Deloitte Global.

    4. Deloitte. (2024b). 2024 Deloitte global Gen Z and Millennial survey: Mental health deep dive. Deloitte Global.

    5. Deloitte. (2025). 2025 Deloitte global Gen Z and Millennial survey. Deloitte Global.

    6. Eloundou, T., Manning, S., Mishkin, P., & Rock, D. (2023). GPTs are GPTs: An early look at the labour market impact potential of large language models (arXiv:2303.10130). arXiv.https://doi.org/10.48550/arXiv.2303.10130

    7. Felten, E. W., Raj, M., & Seamans, R. (2021). Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses. Strategic Management Journal, 42(12), 2195–2217.https://doi.org/10.1002/smj.3286

    8. Hung, J. (2026). Gen Z, Social Media, Society and Technology (Gen Z SMST). [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/ZYXGZV

    9. Ofcom. (2025). Online Nation 2025. Office of Communications. https://www.ofcom.org.uk/siteassets/resources/documents/research-and-data/online-research/online-nation/2025/online-nations-report-2025.pdf?v=409837

    10. Organisation for Economic Co-operation and Development (OECD). (2023). OECD employment outlook 2023: Artificial intelligence and the labour market. OECD Publishing.https://doi.org/10.1787/08785bba-en

    11. West, M., Kraut, R., & Chew, H. E. (2019). I’d blush if I could: Closing gender divides in digital skills through education. UNESCO and EQUALS Skills Coalition. https://doi.org/10.54675/RAPC9356

    Cite This

    Hung, J. (2025). Adoption, Anxiety, and Reskilling: Generative AI among Gen Z and Millennial Workers, 2024–2025. AI in Society. https://aiinsocietyhub.com/articles/adoption-anxiety-and-reskilling-generative-ai-among-gen-z-and-millennial-workers-2024-2025

    Generation Z (Gen Z) is widely considered the first cohort to come of age entirely in the epoch of generative artificial intelligence (AI). There is no universally agreed-upon definition of the age range for Gen Z. Australia’s McCrindle Research uses those born between 1995 and 2009 to address Gen Z; McKinsey & Company defines Gen Z as those born between 1996 and 2010; Pew Research Centre refers to Gen Z as those born between 1997 and 2012. While Gen Z are the most active adopters of generative AI, existing scholarship argues that adoption has outpaced institutional preparation and service delivery. An influx of press and social media articles and videos addressing how the labour market entry points Gen Z expected upon university graduation are vanishing, and their mental health, which was already deteriorated in the midst of the social media age, has compounded alongside an explosion in algorithmically mediated social life.

    This analysis synthesises data-driven and peer-reviewed sources—large-scale surveys, payroll data, and experimental studies—to examine how Gen Z are experiencing the AI transition across three domains: (1) education, (2) social life and well-being, and (3) the labour market. The analysis is designed to allow for enriching the understanding among professional AI and social science researchers, as well as the general public.

    In today’s landscape, we witness an unbalanced relationship between AI adoption and literacy. In the US, 79% of Gen Z have used AI tools, but only 28% of K-12 students attend schools with explicit AI policies. Students whose schools allow AI are 25 percentage points more likely to feel prepared to use it after graduation (57% vs. 32%). Such a gap is largest for students in low-income and rural communities.

    Also, Gen Z well-being is deteriorating. Only 45% of Gen Z are thriving in 2025—reaching a three-year low, down from 49% in 2024. Among Gen Z women, the thriving rate fell from 46% to 37% between 2024 and 2025. Additionally, UK Gen Z report that social media negatively affects their self-esteem and discourages them from building healthy self-relationships. 

    In addition, we address the unemployment-induced anxiety, where the number of available entry-level job postings requiring 0-2 years of experience has been cut by 29 percentage points since January 2024. Researchers from the Stanford Digital Economy Lab, using Automatic Data Processing (ADP) payroll records covering millions of US workers, find a 16% relative employment decline for ages 22–25 in AI-exposed occupations, when comparing with their older counterparts.

    Therefore, we witness cross-domain impacts on Gen Z induced by AI advancement. This analysis dissects the nuances in each domain with supporting data, so as to present how the behaviours and encounters of such a highly AI-adopted generation have changed, relative to their older counterparts.

    1. AI in Education

    1.1 AI Adoption Rates Across Generations

    Like during the age of social media and digitalisation, today’s Gen Z has actively and willingly incorporated AI into both learning and non-educational activities. According to a Gallup survey (2025) commissioned by the Walton Family Foundation (WFF) (n = 3,465), we see that 79% of Gen Z in the US have used AI tools, and 47% do so at least on a weekly basis. In another report published by Pew Research Centre (2026) (n = 1,458; US teens aged 13 – 17), 57% of respondents have used chatbots to search for information, 54% to help with schoolwork and 47% for entertainment purposes. For these US teens, one in 10 now does all or most of their schoolwork with AI assistance. AI adoption has become widely popularised among Gen Z. For those adopting AI in educational settings, there are concerns about overreliance and subsequent barriers to independent and critical thinking development. For those who lack access to AI tools, such a circumstance deepens the ongoing sociological discourse on whether AI technology accelerates the entrenched digital inequality, partly inflicted by socio-economic factors.

    SurveyMonkey disseminated the outputs of a study of 25,030 US adults in 2025. Their team carried out an AI sentiment study between October and December of 2024 among 25,030 US adults. The survey outputs were weighted to reflect the US demographic composition. They found that 61% of Gen Z use AI for education, relative to 53% of Gen X and 50% of millennials, who primarily use AI for workplace responsibilities. While the data support our argument that Gen Z is the quickest and most willing AI adopters, Gen X and millennials, especially those who are active in the labour market, are not far behind. Instead, half or more of US adults, across all three generations, have used AI for their educational or professional tasks.

    Table 1 summarises the AI use rates by generation, with data extracted from major survey reports. While as many as 79% of Gen Z have ever used AI tools, only 47% reported that they use them on a weekly or daily basis. This tells that 32% of Gen Z have either tried using AI tools out of curiosity or decided not to highly adopt AI use in their tasks, so they are not frequent AI users. Another valuable insight is that 75% of Gen Z reported that they use AI to upskill, relative to 71%, 56% and 49% for millennials, Gen X and Boomers, respectively. Such figures inform that the majority of older generations (more than half of millennials and Gen X, and almost half of Boomers) are willing to use AI for upskilling. Such a trend indicates that the majority of the older generations are actively reskilling themselves to incorporate AI technology into their professional or everyday tasks, signalling that their skillsets should remain relevant in the labour market despite the rapid AI disruption.

    Table 1: AI Use Rates by Generation — Key Figures from Major Surveys

    Source: Gallup / WFF (2025) | SurveyMonkey (2025) | Randstad (2025) | Deloitte (2025)

    1.2 The Lack of Institutional AI Readiness

    While AI usage is high across generations, especially among Gen Z, it is necessary to understand whether there are available and sufficient institutional policies to support the young generation’s AI adoption in educational settings. The Gallup survey (2025) shows that only 28% of K-12 students in the US claimed that their schools explicitly allow the use of AI, and nearly half (i.e., 49%) reported that their schools have no policies on AI use or they are not sure of any presence of relevant policies. Among students whose schools have available AI policies, only about one-third (i.e. 36%) describe those policies as extremely clearly outlined.

    Further data suggest how the AI readiness level affects students’ post-schooling outcomes. The Gallup survey (2025) indicates that students in schools with AI policies are 25 percentage points more likely to feel prepared to use AI after graduation (57% vs. 32%). Another recent study (2025) commissioned by Heartland Forward, Gallup and the WFF surveyed 1,474 Gen Z in 20 US heartland states. The study found that only 10% of K-12 students said their teachers have helped prepare them to use AI in future jobs, and as low as 9% of working Gen Z feel extremely prepared to use AI at work. Furthermore, schools in low-income areas are significantly less likely to have AI policies permitting its use. Such a report reveals the equity gap in AI-impacted K-12 education in the US.

    Table 2: The Preparation Gap—AI Policy Presence and Student Readiness

    Source: Gallup / WFF (2025) | Heartland Forward / Gallup / WFF (2025)

    1.3 Gen Z Students vs. Gen X/Y Teachers: Attitudes on the Use of AI

    AI disruption is not restricted to the US or the West at large. Gen Z students in many high-income economies are affected by AI advancement in educational settings. Chan & Lee (2023) conducted a survey with 399 Gen Z students and 184 Gen X or Gen Y (meaning millennial) teachers at the University of Hong Kong on their experiences, perceptions and concerns about generative AI in higher education. Diagram 1 highlights the key findings in mean agreement scores that follow a five-point Likert scale on each statement. The value of one represents strongly disagree, and the value of five means strongly agree. All findings reported in Diagram 1 have p-values lower than 0.05. The data reveal an insightful generational divide. We can see that Gen Z respondents have higher mean scores than their Gen X/Y teachers on all positive statements about the use of AI, while the former have lower mean scores, relative to the latter, on all negative statements about using AI. The results show that Gen Z students are more optimistic, and enjoy more perceived benefits, from the use of AI than their teachers. Of course, the societal roles for both survey cohorts are different: one group represents the students in higher education, and the other belongs to their teachers. Perhaps Gen X/Y respondents share more concerns about the use of AI not because of generational factors but because of their societal role (as teachers/educators) in the higher education settings.

    Diagram 1: Gen Z Students vs. Gen X/Y Teachers—Mean Agreement Scores on Key AI Attitudes (Chan & Lee, 2023)

    Source: Chan & Lee (2023)—“The AI Generation Gap” (Smart Learning Environments, Springer / arXiv:2305.02878). n=399 Gen Z students, n=184 Gen X/Y teachers, University of Hong Kong. Mean scores on 5-point Likert scale (1=Strongly Disagree, 5=Strongly Agree). All items p <.05.

    1.4 Academic Integrity

    Another widely discussed issue in the intersection between AI and social science is whether and how AI disrupts academic integrity. Academic and research integrity have been the core foundation of ethics in educational settings. Given the extensive reporting on AI-induced hallucinations, for example, academic and research integrity might be significantly challenged without appropriate policy interventions. Table 3 summarises major recent studies on AI influence on academic integrity, including the key findings and the corresponding policy implications. In a report released by the publishing firm Wiley (Coffey, 2024), over 2,000 students and instructors were surveyed. Findings suggest that 47% of students say AI has made cheating easier, and 68% of instructors anticipate a negative impact from the use of AI on academic integrity. Comparatively, Lee et al. (2024) conducted a survey around November 2022 and found that high school cheating rates before and after the introduction of ChatGPT remained broadly stable. It is noteworthy that Lee et al.’s (2024) study focused on data collected around the time when ChatGPT was first publicly introduced. It is reasonable that high school students did not experience higher academic cheating rates upon the arrival of generative AI, because such an AI chatbot was not capable and functional enough to encourage academically dishonest behaviours. However, as indicated in the aforementioned report released by Wiley (Coffey, 2024), as AI tools have become far more capable over the years, cheating behaviours have been encouraged, and academic integrity has been at stake to a certain degree.

    It is noteworthy that Bittle & El-Gayar (2025) carried out a systematic review of 41 studies and found that peer influence and personal ethics shape AI misuse more than institutional policies. Such an understanding reinforces the argument that heavy-handed AI bans may be less effective than co-shaping the development of AI literacy with honesty and values concentration between educators, scholars and policymakers.

    Table 3: Academic Integrity — Key Evidence Summary

    Source: Coffey (2024) | Bittle & El-Gayar (2025) | Lee et al. (2024) | Mcclain et al. (2026)

    2. AI, Social Media, and Well-being

    2.1 The Well-being Crisis

    Other than academic behaviours and integrity, Gen Z’s social media dynamics and personal well-being are worth discussing. First, this section, in addition to AI, includes the investigation of social media dynamics because nowadays social media is heavily AI-integrated, and both social media and AI are known as the most revolutionary digital technologies affecting the Gen Z population. Second, extensive studies address that mental health and well-being are a priority for Gen Z. Therefore, this section discusses the intersection between AI, social media and well-being among this generation.

    Gen Z well-being, according to publicly available data, is declining. The aforementioned Gallup survey (2025) reveals that only 45% of Gen Z are thriving per Gallup’s Life Evaluation Index—which was the lowest between 2023 and 2025 of the study. Table 4 highlights the thriving rates of Gen Z. The largest decline can be seen among Gen Z women, whose thriving rates dropped from 46% in 2024 to 37% in 2025. Comparatively, Gen Z men’s thriving rates remain relatively stable (44% in 2024 vs. 45% in 2025). The survey further indicates that Gen Z adults are about 10 percentage points less likely to be thriving than older generations.

    Table 4: Gen Z Thriving Rates—Three-Year Decline

    Source: Gallup / WFF (2025)

    2.2 Social Media and Body Image

    The Cybersmile Foundation carried out a national UK study examining the impact of social media use on Gen Z well-being. They surveyed 1,000 UK participants aged between 16 and 24. Their data suggest that social media has negative impacts on Gen Z. Diagram 2 extracts and highlights some key statistics indicating social media impact on Gen Z well-being. The findings, for example, show that 82% of respondents said social media negatively affected how they feel about their own bodies. 83% said content on social media made them feel pressured to be perfect. Also, 48% said their sleep had been negatively impacted by time spent online. There were, moreover, 38% who said social media made them want to permanently change a part of their body through surgery. Such a figure rose to 51% when we focus on female respondents. These survey outputs imply that social media causes Gen Z not to be able to develop healthy self-relationships, and their self-esteem and behavioural well-being are jeopardised.

    Shehab et al. (2025) synthesise existing research and document that depression, anxiety and insomnia are among the most robustly evidenced harms for Gen Z inflicted by the addiction to Instagram and TikTok. In addition, the Gallup survey (2025) data shows that 41% of Gen Z have anxiety about AI specifically, compared to 36% who feel excited and 27% who feel hopeful. Additional data unveils that 49% of Gen Z believe AI will harm their critical thinking skills, which can lead to broader anxiety about dependency and cognitive overload in a way similar to how social media has affected this generation.

    Diagram 2: Social Media Impact on Gen Z Well-being

    Source: Digital Wellbeing (2025). n=1,000 UK participants aged 16–24.

    3: Gen Z and the AI-Disrupted Labour Market

    3.1 The Entry-Level Collapse

    As of writing this analysis, AI disruption in the labour market is notable and expanding. Mass unemployment, especially youth unemployment, has been widely reported internationally. In Randstad’s latest report, entitled “The Gen Z Workplace Blueprint: Future Focused, Fast Moving”, findings from job posting analysis of 11,250 global workers and 126 million job postings show that global postings for roles requiring 0-2 years of experience (meaning entry-level jobs) have fallen by an average of 29 percentage points since January 2024. The collapse of the entry-level job market is more salient in several positions, such as junior technology roles (down by 35%), logistics (down by 25%) and finance (down by 24%) (See Table 5).

    Brynjolfsson et al. (2025) from the Stanford Digital Economy Lab analysed ADP payroll records covering millions of US workers. They found that early-career workers (aged 22 to 25) in AI-exposed occupations experienced 16% relative employment declines, controlling for firm-level shocks, while employment for experienced workers remained stable. The labour market adjustments occur primarily via employment rather than compensation, with employment changes concentrated in occupations where AI automates rather than augments labour (such as software development, customer service and clerical work).

    Table 5: Entry-Level Job Posting Declines by Sector

    Source: Randstad (2025) | (Brynjolfsson et al., 2025)

    3.2 Gen Z Career Strategy in Response to AI Disruption

    From the same Randstad report, we can see that Gen Z is actively adapting to the AI-induced changes in the labour market by altering their career behaviours and decisions. Table 6 presents Gen Z’s career behaviours and decisions for AI adoption, relative to those from older generations. As discussed in Table 1, 75% of Gen Z use AI to learn new skills. In addition, from Table 6, 55%, 50% and 46% (up from 40% in 2024) use AI for professional problem-solving, use AI for job search and are worried about AI impact on their occupational opportunities, respectively. Their AI-induced career behavioural adjustments not only imply that they are active and willing AI adopters, but also reflect the circumstance that this generation is mostly impacted by AI disruption in the labour market due to the loss of entry-level jobs.

    Table 6: AI Adoption in the Workplace—Gen Z Relative to Older Generations 

    Source: Randstad (2025)

    3.3 Shortened Job Tenure for Gen Z

    Although media portrayals and general perceptions claim that Gen Z, unlike older generations, lack loyalty to an organisation due to laziness and low resilience, the Randstad report might suggest otherwise. Table 7 presents the job tenure and employment structure by generation. When comparing the first five years of career (instead of the current tenure), we can see that the average job tenure for Gen Z is 1.1 years, relative to 1.8 years for millennials, 2.8 years for Gen X and 2.9 years for Boomers. Here, we see the generational shift where early career job-taking patterns have constantly changed over the last few decades. There are almost half (45%) of Gen Z who are currently working full-time, and 52% are actively looking for a new role. While we cannot tell how many of those 52% who actively seek new roles already have a full-time position, at least the figures suggest that the majority of Gen Z choose to stay active in the labour market (either by finding jobs or already working full-time). Such figures dismiss the general perception that Gen Z are lazy to a certain degree. In fact, the change of the labour market structure, especially the AI disruption that causes the loss of entry-level jobs, may explain why staying active professionally nowadays seems far harder than that of previous generations. The data, moreover, shows that only 11% of Gen Z plan to stay in their current job long term. While this figure ostensibly shows that Gen Z has little loyalty to an organisation or workplace, in fact, the lack of available full-time entry-level positions might justify why many Gen Z members do not want to stay in their current job long term. This is because many might be working part-time or on a freelance and ad hoc basis. Therefore, staying in the current job does not offer any promising career path or financial security for Gen Z to display their loyalty at work.

    Table 7: Job Tenure and Employment Structure by Generation

    Source: Randstad (2025). Comparison figures reflect the same career stage (first 5 years), not current tenure.

    4. Summary and Implications

    We can see substantial behavioural changes between Gen Z and their older counterparts. This analysis finds that Gen Z is adapting to AI faster than institutional responses. Their well-being is constantly being jeopardised, caused by both the popularisation of AI and social media. Also, this generation is most vulnerable to AI-induced economic risks, since the labour market disruption mostly erases entry-level job opportunities.

    In education, this analysis identifies a policy gap in institutional readiness, which lags AI adoption by a wide margin. Furthermore, the need for AI adoption in educational settings is compounding spatial and socio-economic inequalities. Regarding their well-being, this analysis shows that AI is disrupting rather than enriching Gen Z’s social and mental health. While there is research-based evidence identifying how (AI-integrated) social media are harming this generation, corresponding regulatory responses remain fragmented and not sufficiently effective. In the labour market, although Gen Z actively use AI for upskilling, they are the cohort whose job opportunities are technologically disrupted the most. There is a lack of policy responses on formal AI training access for the young generations, including Gen Z. Even if some jurisdictions may deliver policy responses on formalising AI training and upskilling opportunities for students, there remains an absence of any clear solution on how Gen Z, once sufficiently upskilled, can gain access to entry-level job opportunities.

    Cite This

    Hung, J. (2025). Gen Z and AI: Education, Well-Being and the Labour Market. AI in Society. https://aiinsocietyhub.com/articles/gen-z-and-ai-education-well-being-and-the-labour-market

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      Category: Fellowship

      Posted: May 23, 2026

      This prestigious fellowship supports early-career researchers in using artificial intelligence to advance and disrupt fields across natural sciences and engineering. Fellows conduct independent research within a multidisciplinary cohort while receiving specialized AI training and integration into the global Schmidt Sciences network.

      View Opportunity

    • Changemaker Fellow

      Organization: Microsoft Elevate

      Location: Global

      Region: Remote

      Type: Remote

      Category: Fellowship

      Posted: May 23, 2026

      A global 10-week program designed for nonprofit and intergovernmental staff to move from AI interest to strategic, real-world adoption. Participants develop a concrete AI Adoption Plan while receiving expert mentorship and peer support to drive digital transformation within their organizations.

      View Opportunity

    • Grantee - AI Accelerator Grant

      Organization: Ovarian Cancer Research Alliance

      Location: United States

      Region: US/Canada

      Type: On-site

      Category: Funding

      Posted: May 23, 2026

      The Ovarian Cancer Research Alliance provides various research grants and prizes to advance the prevention and treatment of gynecologic cancers. These awards support scientific efforts ranging from AI-driven care personalization to global research collaborations.

      View Opportunity

    • Secure Program Synthesis Fellow

      Organization: Apart Research

      Location: Remote

      Region: Remote

      Type: Remote

      Category: Fellowship

      Posted: May 20, 2026

      This fellowship provides part-time research opportunities on mentor-led projects focusing on formal methods, AI systems, and security to improve software correctness. Participants work in small teams to address complex problems in specification elicitation, validation, and adversarial robustness for AI-generated code.

      View Opportunity

    • Global Majority AI Fellow

      Organization: Heinrich Böll Stiftung

      Location: Geneva, Switzerland and New York, NY

      Region: US/Canada, EU

      Type: On-site

      Category: Fellowship

      Posted: May 16, 2026

      This fellowship supports civil society experts from the Global South to participate in the UN Global Dialogue on AI Governance. Selected fellows will engage in discussions regarding AI ethics, human rights, and global governance during sessions in Geneva and New York.

      View Opportunity

    • MATS Autumn 2026 Scholar

      Organization: MATS

      Location: Berkeley, CA and London, UK

      Region: US/Canada, UK

      Type: On-site

      Category: Fellowship

      Posted: May 15, 2026

      This intensive 10-week research phase provides fellows with mentorship from world-class researchers at organizations like Anthropic and Google DeepMind to work on AI alignment, security, and governance. Participants are expected to develop independent research directions and produce tangible research outputs while receiving funding and potential extension options.

      View Opportunity

    • Hi! PARIS Postdoctoral Fellow

      Organization: Hi! PARIS (Institut Polytechnique de Paris and HEC Paris)

      Location: Paris, France

      Region: EU

      Type: On-site

      Category: Fellowship

      Posted: May 15, 2026

      This call supports early-career researchers in AI and data science to join research labs at Institut Polytechnique de Paris or HEC Paris. Selected fellows receive funding for 12 months, with renewal options, to participate in high-impact multidisciplinary research and academic events.

      View Opportunity

    • Transforming Society through AI Fellow

      Organization: Center of Policy Research and Governance (CPRG)

      Location: India

      Region: Asia, Remote

      Type: Remote

      Category: Fellowship

      Posted: May 9, 2026

      This fellowship program focuses on the intersection of artificial intelligence and societal transformation through policy research. Selected fellows will work on governance projects and receive a stipend of Rs. 50,000 for the duration of the program.

      View Opportunity

    • Google DeepMind Fellow in Genomics and AI

      Organization: Wellcome Sanger Institute

      Location: Cambridge, UK

      Region: UK

      Type: Hybrid

      Category: Full-time

      Posted: May 9, 2026

      This role is responsible for applying your significant skills and expertise in AI/ML/Computer Science to deliver original research that tackles a ‘Grand Challenge’ in Genomics & AI; and developing and delivering ambitious and original outreach activities that build capacity in Genomics and AI.

      View Opportunity

    • PRISM AI Safety Research Fellow

      Organization: PRISM

      Location: Global

      Region: Remote

      Type: Remote

      Category: Funding

      Posted: May 8, 2026

      PRISM is a peer-vetted research initiative focused on safety methodologies for artificial intelligence. It provides support for researchers developing technical approaches to ensure the alignment and safety of advanced AI systems.

      View Opportunity

    • Lunartech Fellow

      Organization: LUNARTECH

      Location: Armenia

      Region: Asia, Remote

      Type: Remote

      Category: Fellowship

      Posted: May 7, 2026

      The Lunartech Fellowship is a 6-month program focused on building real AI systems through hands-on mentorship. Participants engage in groundbreaking projects to develop cutting-edge AI, data, and software solutions for transformative growth.

      View Opportunity

    • 2027 CRP Fellow

      Organization: Co-operative Research Programme, OECD

      Location: Global

      Region: US/Canada, UK, EU, Asia, Australia, Remote, Others

      Type: Remote

      Category: Fellowship

      Posted: May 7, 2026

      The aim of the Research Fellowships is to invite research scientists working in agriculture, forestry or fisheries who would like to conduct research projects abroad, in another member country of the Co-operative Research Programme from 6 to 26 weeks.

      View Opportunity

    • Kempner AI Fellow

      Organization: Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University

      Location: Cambridge, MA

      Region: US/Canada

      Type: On-site

      Category: Fellowship

      Posted: May 7, 2026

      The Kempner AI Fellows Program is designed for bachelor’s or master’s recipients with strong technical backgrounds in machine learning to engage in collaborative scientific research. Fellows work alongside Kempner investigators on projects spanning foundation models, NeuroAI, and computational biology at Harvard University.

      View Opportunity

    • Research Scientist

      Organization: Texas GenAI Center, The University of Texas at Austin

      Location: Austin, TX

      Region: US/Canada

      Type: On-site

      Category: Full-time

      Posted: May 5, 2026

      This multi-year program will host several researchers working on one or more of the following topics: Natural Language Processing, Computer Vision, Machine Learning for Biology, and Machine Learning for Health/Medicine.

      View Opportunity

    • CERN Short-Term Intern

      Organization: CERN

      Location: Geneva, Switzerland

      Region: EU

      Type: On-site

      Category: Internship

      Posted: May 5, 2026

      This program offers students in technical, engineering, or administrative fields the opportunity to take their first steps into a professional environment at a world-leading science organization. Participants will support experienced professionals on real projects while gaining practical skills and collaborating in a multicultural setting.

      View Opportunity

    • Just Tech Fellow

      Organization: Social Science Research Council (SSRC)

      Location: United States

      Region: US/Canada

      Type: Remote

      Category: Fellowship

      Posted: Apr 29, 2026

      The Just Tech Fellowship supports rigorous, original, and community-grounded work that addresses pressing questions about how technology shapes society and public life. It provides a one-year unrestricted award of up to $60,000 to researchers, artists, and practitioners from a wide range of fields. Fellows must reside in the United States for the duration of the fellowship year.

      View Opportunity

    • Research Associate

      Organization: Arcadia Impact

      Location: Global

      Region: Remote

      Type: Remote

      Category: Fellowship

      Posted: Apr 27, 2026

      This twelve-week part-time research program supports experienced professionals transitioning into AI governance careers focused on reducing catastrophic risks from advanced AI. Participants work in multidisciplinary teams to produce policy-relevant research outputs under the guidance of expert partners from leading safety organizations.

      View Opportunity

    • AI Existential Risk Research Intern

      Organization: Existential Risk Observatory

      Location: Amsterdam, Netherlands

      Region: EU, Remote

      Type: Hybrid

      Category: Internship

      Posted: Apr 25, 2026

      Interns are responsible for doing research and helping draft papers as part of the project "Solving the Right Problem: Towards Researchers Consensus on AI Existential Threat Models" (with MIT FutureTech and Future of Life Institute).

      View Opportunity

    • Grantee - Career Transition Grants

      Organization: BlueDot Impact

      Location: Global

      Region: Remote

      Type: Remote

      Category: Funding

      Posted: Apr 24, 2026

      This grant provides financial support and advising to individuals transitioning into full-time impactful AI safety work. Recipients receive warm introductions to field experts and regular check-ins to help them upskill, network, and identify high-impact career opportunities.

      View Opportunity

    • Google Data Center Community AI Fellow

      Organization: Watson Institute

      Location: Google Data Center Communities

      Region: US/Canada, UK, EU, Asia, Australia, Remote, Others

      Type: Remote

      Category: Fellowship

      Posted: Apr 24, 2026

      The Google Data Center Community AI Fellowship is a fully-funded program empowering leaders to leverage AI and technology for local solutions. Fellows receive entrepreneurship training, committed mentorship, and access to Google’s AI products and resources to scale their community-focused ventures.

      View Opportunity

    • ARUA Early Career Research Fellow

      Organization: African Research Universities Alliance (ARUA)

      Location: Africa and Europe

      Region: EU, Others

      Type: On-site

      Category: Fellowship

      Posted: Apr 24, 2026

      This program provides early-career researchers at African universities with a six-month period dedicated to globally competitive research and collaboration. Selected fellows will work alongside distinguished researchers at ARUA Centres of Excellence or Africa-Europe Clusters of Excellence to enhance their research capacity, including in the fields of Artificial Intelligence, Data Science, and Theoretical and Computational Thinking.

      View Opportunity

    • Research Fellow 2026 Q3

      Organization: Pivotal Research

      Location: London, UK

      Region: UK

      Type: On-site

      Category: Fellowship

      Posted: Apr 21, 2026

      The Pivotal Research Fellowship is a 9-week in-person program in London designed to grow the group of talented people working on AI safety. Fellows receive stipends and mentorship from organizations like UK AISI and Google DeepMind to produce research papers or policy briefs.

      View Opportunity

    • Basis Set AI Fellow 2026 - Data Centers Track

      Organization: Basis Set

      Location: San Francisco, CA

      Region: US/Canada, UK, EU, Asia, Australia, Remote, Others

      Type: Remote

      Category: Others

      Posted: Apr 17, 2026

      The Data Centers Track is for early-career builders excited about one of the biggest bottlenecks in AI: compute infrastructure. As demand for training and inference explodes, the frontier is no longer just models, it’s the systems, economics, and operations behind getting compute where it needs to go.

      View Opportunity

    • CIP Research Fellow

      Organization: The Collective Intelligence Project

      Location: Global

      Region: Remote

      Type: Remote

      Category: Fellowship

      Posted: Apr 17, 2026

      This six-month fellowship offers researchers the opportunity to conduct original academic and public-facing research using proprietary datasets on AI, public values, and democratic governance. Fellows work across thematic areas like cross-national analysis and AI evaluation while participating in virtual lab meetings and producing publishable outputs.

      View Opportunity

    • Grantee - Internet Society Foundation: Research Grant

      Organization: Internet Society Foundation

      Location: Global

      Region: US/Canada, UK, EU, Asia, Australia, Remote, Others

      Type: Remote

      Category: Funding

      Posted: Apr 12, 2026

      The Research Grant Program supports thematic research, especially in light of emerging paradigms including artificial intelligence, that advances the understanding of the Internet and its impact on society. It provides funding for independent researchers and organizations to explore topics such as the digital divide and the evolution of Internet technology.

      View Opportunity

    • OpenAI Safety Fellow

      Organization: OpenAI

      Location: Berkeley, CA

      Region: US/Canada, Remote

      Type: Hybrid

      Category: Fellowship

      Posted: Apr 8, 2026

      The OpenAI Safety Fellowship is a pilot program designed for external researchers and engineers to conduct high-impact research on the alignment and safety of advanced AI systems. Fellows receive a monthly stipend, compute support, and mentorship to produce significant outputs like papers or benchmarks.

      View Opportunity

    • Grantee - Pear AI Researcher Grant

      Organization: Pear VC

      Location: San Francisco, CA

      Region: US/Canada

      Type: On-site

      Category: Funding

      Posted: Apr 5, 2026

      Pear AI Researcher Grant is a funding scheme for promising PhDs, PhD grads and Professors to push the boundaries of their research towards solving real-world applications and turning them into world changing companies

      View Opportunity

    • Adobe IndiaAI Research Fellow

      Organization: Adobe Research

      Location: India

      Region: Asia

      Type: On-site

      Category: Fellowship

      Posted: Apr 5, 2026

      The Adobe India AI Research Fellowship is a one-year program supporting PhD candidates in India who are conducting advanced research in areas like computer vision and natural language processing. Selected fellows receive a significant stipend, mentorship from Adobe researchers, and access to Adobe tools to advance their dissertation work.

      View Opportunity

    • Google PhD Fellow

      Organization: Google

      Location: Global

      Region: US/Canada, UK, EU, Asia, Australia, Others

      Type: On-site

      Category: Fellowship

      Posted: Apr 2, 2026

      The Google PhD Fellowship Program supports outstanding graduate students doing exceptional and innovative research in areas relevant to computer science. The program aims to nurture the next generation of researchers through financial support and opportunities to collaborate with Google researchers.

      View Opportunity

    • Grantee - AI at Work

      Organization: Schmidt Sciences

      Location: Global

      Region: US/Canada, UK, EU, Asia, Australia, Remote, Others

      Type: Remote

      Category: Funding

      Posted: Mar 29, 2026

      This program (Proposal development awards: $10,000; Full research awards: up to $200,000 for up to 2 years) provides empirical research grants to explore how AI adoption influences labor markets and workplace environments. It offers financial support for field and quasi-experiments conducted by early-career quantitative social scientists globally.

      View Opportunity

    • AI Science Institute Postdoctoral Fellow

      Organization: Boston Consulting Group (BCG X)

      Location: United States

      Region: US/Canada

      Type: On-site

      Category: Fellowship

      Posted: Mar 27, 2026

      This postdoctoral fellowship role at BCG X focuses on advancing artificial intelligence research within a leading global management consulting firm. Fellows collaborate with technical and business leaders to tackle complex challenges in the fields of technology and engineering.

      View Opportunity

    • CBAI Summer Research Fellow in AI Safety ‘26

      Organization: Cambridge Boston Alignment Initiative

      Location: Cambridge, MA

      Region: US/Canada

      Type: On-site

      Category: Fellowship

      Posted: Mar 27, 2026

      This intensive nine-week program supports talented researchers in advancing AI safety domains such as interpretability, multi-agent safety, and risk management frameworks. Fellows receive a stipend and dedicated mentorship while engaging with the AI safety community at institutions like Harvard and MIT.

      View Opportunity

    • Mila AI Policy Fellow

      Organization: Mila

      Location: Montreal, Canada

      Region: US/Canada, Remote

      Type: On-site

      Category: Fellowship

      Posted: Mar 27, 2026

      The Mila AI Policy Fellowship (in-person or virtual) is designed for professionals and researchers focused on AI governance, policy, and inclusion. This program provides an opportunity to contribute to responsible AI practices and engage with Mila’s world-class research ecosystem.

      View Opportunity

    • AI Ethics and Governance Fellow

      Organization: Policy Innovation Centre (PIC)

      Location: Africa

      Region: Remote, Others

      Type: Remote

      Category: Fellowship

      Posted: Mar 27, 2026

      This 12-week program equips African leaders with the technical literacy and governance expertise needed to design responsible, rights-based AI frameworks centered on African ethical traditions. Fellows will move from foundational learning to producing practical governance artifacts such as policy frameworks and AI audit protocols.

      View Opportunity

    • Ethical AI Governance Fellow

      Organization: Globethics

      Location: Geneva, Switzerland

      Region: EU

      Type: On-site

      Category: Fellowship

      Posted: Mar 27, 2026

      This competitive international programme is designed for early-career professionals to advance ethical and values-driven AI governance through mentorship and networking. Selected participants benefit from a one-week residency in Geneva and the opportunity to unlock seed funding for impactful AI ethics projects.

      View Opportunity

    • General Intelligence Fellow

      Organization: The General Intelligence Company

      Location: Global

      Region: Remote

      Type: Remote

      Category: Fellowship

      Posted: Mar 18, 2026

      The General Intelligence Fellowship is a 30-day program where individuals receive $1,000 upfront and daily platform credits to launch a company using the Cofounder 2 agentic platform. Participants retain full ownership and IP of their business while helping test next-generation agent orchestration and infrastructure management systems.

      View Opportunity

    • Grantee - CHAI Hub Research Call Round 2

      Organization: Causality in Healthcare AI Hub (CHAI)

      Location: United Kingdom

      Region: UK

      Type: On-site

      Category: Funding

      Posted: Mar 17, 2026

      This funding opportunity supports academic researchers and post-doctoral research associates collaborating with industry partners and clinicians to advance causal AI research. Projects focus on aligning with the hub's mission to address healthcare challenges through AI innovation and interdisciplinary partnership.

      View Opportunity

    • Queens’ AI Scholar

      Organization: Queens' College, University of Cambridge

      Location: Cambridge, UK

      Region: UK

      Type: On-site

      Category: Funding

      Posted: Mar 17, 2026

      This scholarship supports students pursuing an MPhil in Advanced Computer Science at the University of Cambridge. It provides full fee coverage for domestic students or a partial award of £25,000 for international students.

      View Opportunity

    • AI and Society Fellow

      Organization: Center for AI Safety

      Location: San Francisco, CA

      Region: US/Canada

      Type: On-site

      Category: Fellowship

      Posted: Mar 14, 2026

      The AI and Society Fellowship is a fully-funded, three-month program supporting scholars in economics, law, and international relations to explore questions regarding AI power, wealth, and oversight. Fellows pursue autonomous research projects and engage with experts in the Bay Area to produce shareable academic outputs.

      View Opportunity

    • Micsion Global Scholar and Fellow

      Organization: Micsion

      Location: Global

      Region: US/Canada, UK, EU, Asia, Australia, Remote, Others

      Type: Remote

      Category: Funding

      Posted: Mar 12, 2026

      The Micsion Global Scholarship and Fellowship provides financial assistance to students, professionals, entrepreneurs, community organizers, and independent changemakers pursuing higher education opportunities worldwide. This program aims to support high-achieving individuals by covering tuition and educational expenses to foster academic excellence.

      View Opportunity

    • AI Ethics Fellow

      Organization: Code for Africa

      Location: Benin, Burkina Faso, Cameroun, Chad, Ethiopia, Guinea, Mali, Mauritania, Niger, Senegal, Somalia, South Sudan, Sudan, Togo

      Region: Remote, Others

      Type: Remote

      Category: Fellowship

      Posted: Mar 12, 2026

      This three-month fellowship supports mid-career professionals in developing research and policy recommendations for the ethical adoption of AI across Africa. Fellows will analyze regional regulations and global standards to design inclusive AI policies and mitigate algorithmic bias.

      View Opportunity

    • FDA Artificial Intelligence and Machine Learning Fellow

      Organization: U.S. Food and Drug Administration (FDA)

      Location: White Oak, MD

      Region: US/Canada

      Type: On-site

      Category: Fellowship

      Posted: Mar 6, 2026

      This fellowship program offers research and developmental opportunities within the Center for Devices and Radiological Health's Artificial Intelligence Regulatory Science Program. Participants will conduct regulatory science research to ensure the safety and effectiveness of AI/ML-enabled medical devices in healthcare applications like disease detection and diagnosis.

      View Opportunity

    • 2026 Summer Research Fellow

      Organization: Center on Long-Term Risk

      Location: London, UK

      Region: UK, Remote

      Type: On-site

      Category: Fellowship

      Posted: Mar 6, 2026

      This eight-week program invites fellows to conduct research projects focused on reducing long-term suffering risks and advancing technical AI safety. Participants receive mentorship from experienced researchers and collaborate on empirical AI safety agendas such as understanding malicious traits in LLM personas.

      View Opportunity

    • AI Senior Research Innovation Fellow

      Organization: University of Hertfordshire

      Location: Hatfield, UK

      Region: UK

      Type: On-site

      Category: Fellowship

      Posted: Mar 6, 2026

      This senior fellowship offers a high-impact opportunity to lead the integration of AI across health, medicine, and life sciences through strategic digital transformation initiatives. The role involves driving AI adoption in predictive diagnostics, mentoring junior colleagues, and securing research funding through collaborative partnerships.

      View Opportunity

    • Cambridge Digital Minds Fellow

      Organization: Cambridge Digital Minds

      Location: Cambridge, UK

      Region: UK

      Type: On-site

      Category: Fellowship

      Posted: Feb 21, 2026

      This intensive seven-day residential programme aims to build research capacity in the fields of AI consciousness, AI welfare, and the societal implications of digital minds. Fellows receive expert mentorship, strategic project scoping support, and fully funded travel to participate in technical and philosophical workshops.

      View Opportunity

    • Awardee - AI for Good Impact Awards

      Organization: AI for Good

      Location: Global

      Region: US/Canada, UK, EU, Asia, Australia, Remote, Others

      Type: Remote

      Category: Others

      Posted: Feb 18, 2026

      The AI for Good Impact Awards feature three categories (AI for People, AI for Planet and AI for Prosperity), honoring innovation and impact across various sectors.

      View Opportunity

    • Visiting Fellow

      Organization: Constellation Institute

      Location: Berkeley, CA

      Region: US/Canada

      Type: On-site

      Category: Fellowship

      Posted: Feb 13, 2026

      This 3-6 month program supports full-time AI safety researchers by providing access to a research center and professional network. Fellows receive full funding for travel, housing, meals, and office space while continuing their technical or governance projects.

      View Opportunity

    • AI4X Postdoctoral Fellow

      Organization: NTU Singapore

      Location: Singapore

      Region: Asia

      Type: On-site

      Category: Fellowship

      Posted: Feb 13, 2026

      The AI4X Postdoctoral Fellowship supports outstanding early-career researchers who leverage Artificial Intelligence (AI) to accelerate breakthroughs across science, technology, engineering, and mathematics, including medicine (STEM).

      View Opportunity

    • 2026 Critical AI Policy Virtual Fellow

      Organization: Manchester Metropolitan University

      Location: Global

      Region: UK

      Type: Remote

      Category: Fellowship

      Posted: Feb 13, 2026

      Critical AI Policy Virtual Fellowship 2026 is an opportunity for humanities or social science researchers to understand, challenge and reshape current policies around generative AI by joining a virtual collective of researchers working on AI and society.

      View Opportunity

    • Turing AI Global Fellow

      Organization: UKRI/EPSRC

      Location: United Kingdom

      Region: UK

      Type: On-site

      Category: Fellowship

      Posted: Feb 13, 2026

      Turing AI Global Fellowships attract up to five exceptional researchers who are either established international leaders in AI or who can demonstrate outstanding potential to shape the future of AI research globally. They must relocate to the UK and undertake transformational AI research that strengthens the UK’s position as a global leader in AI.

      View Opportunity

    • Postdoctoral Research Assistant in AI + Security

      Organization: Department of Engineering Science, Oxford

      Location: Oxford, UK

      Region: UK

      Type: On-site

      Category: Full-time

      Posted: Feb 10, 2026

      This is a full-time Postdoctoral Research Assistantship opportunity to join the Oxford Witt Lab for Trust in AI (OWL) in the Department of Engineering Science (Central Oxford), to conduct hands-on empirical research in multi-agent security and agentic AI security, focused on adversarial testing (red-teaming) and mitigation of hard-to-detect failure modes in interactive AI systems (e.g., covert communication, collusion, strategic behaviour).

      View Opportunity

    • Book Grant

      Organization: Alfred P. Sloan Foundation

      Location: New York City, NY

      Region: US/Canada

      Type: Remote

      Category: Funding

      Posted: Feb 6, 2026

      The Alfred P. Sloan Foundation provides direct support to authors for the research and writing of books aimed at enhancing public understanding of science and technology, including artificial intelligence. Grants are typically awarded to individual authors or through host institutions like universities to simplify complex scientific subjects for a general audience.

      View Opportunity

    • Global Early-Career Short Research Fellow

      Organization: Imperial College London

      Location: London, UK

      Region: UK

      Type: On-site

      Category: Fellowship

      Posted: Jan 31, 2026

      This programme invites early-career researchers from Least Developed and Lower Middle-Income Countries to spend four to eight weeks at Imperial College London conducting high-impact research. Fellows will focus on accelerating innovation through AI in Science and Open Hardware for Lab Automation to foster new global collaborations.

      View Opportunity

    • Fellow - Metascience Research Grants Round 2

      Organization: UK Research and Innovation (UKRI)

      Location: United Kingdom

      Region: UK

      Type: On-site

      Category: Funding

      Posted: Jan 24, 2026

      This opportunity provides funding for cutting-edge metascience research focused on optimizing R&D processes, research institutions, and the impact of AI. Projects must be based at a UK research organization, though collaborative efforts with international partners are strongly encouraged.

      View Opportunity

    • Oskar Morgenstern Fellow

      Organization: Mercatus Center

      Location: Online

      Region: Remote

      Type: Remote

      Category: Fellowship

      Posted: Jan 23, 2026

      The Oskar Morgenstern Fellowship is a one-year online program for scholars and graduate students interested in political economy and emerging technologies like artificial intelligence. Participants engage in seminar-style colloquia to explore how different schools of political economy address institutional governance and the philosophy of science.

      View Opportunity

    • IAPS AI Policy Fellowship 2026

      Organization: Institute for AI Policy and Strategy

      Location: Washington, D.C. or Remote

      Region: US/Canada, Remote

      Type: Hybrid

      Category: Fellowship

      Posted: Jan 15, 2026

      The IAPS AI Policy Fellowship is a three-month program designed for professionals to strengthen practical skills for securing a positive future with powerful AI. Fellows conduct independent research projects, such as writing policy memos and briefing officials, while receiving mentorship and financial support.

      View Opportunity

    • Promoting AI Research

      Organization: Artificial Intelligence Journal (AIJ)

      Location: Global

      Region: Others

      Type: Remote

      Category: Funding

      Posted: Jan 13, 2026

      The Artificial Intelligence Journal provides substantial funds to support the promotion and dissemination of AI research through competitive open calls and sponsorships. Approximately 160,000 USD is allocated annually to support activities such as studentships and specialized AI research initiatives.

      View Opportunity

    • OpenAI's Cybersecurity Grant Program

      Organization: OpenAI

      Location: Global

      Region: Remote

      Type: Remote

      Category: Funding

      Posted: Jan 13, 2026

      Funding program for thoughtful, focused ideas at the intersection of AI and security

      View Opportunity

    • Carr-Ryan Center’s Technology and Human Rights Fellow

      Organization: Harvard Kennedy School Carr-Ryan Center for Human Rights

      Location: Global

      Region: Remote

      Type: Remote

      Category: Fellowship

      Posted: Jan 3, 2026

      This program focuses on exploring how technological developments impact human rights protections, specifically addressing challenges related to surveillance capitalism. Fellows participate in a multi-year effort to investigate the intersection of democracy and technology through research and academic collaboration.

      View Opportunity

    • 2026 Mozilla Fellow

      Organization: Mozilla Foundation

      Location: Global

      Region: Remote

      Type: Remote

      Category: Fellowship

      Posted: Jan 3, 2026

      The 2026 Mozilla Fellows program supports visionary leaders including technologists, researchers, and creators building a better tech future. Fellows receive financial backing, professional development, and access to a global network to lead impactful projects and share expertise.

      View Opportunity

    • Summer Fellowship 2026, Research Track

      Organization: Centre for the Governance of AI (GovAI)

      Location: London, UK

      Region: UK

      Type: On-site

      Category: Fellowship

      Posted: Dec 24, 2025

      This three-month fellowship is designed to launch or accelerate impactful careers in AI governance and policy through independent research projects. Participants receive mentorship from leading experts, engage in expert seminars, and develop research outputs such as white papers or policy analysis.

      View Opportunity

    • MATS Summer Fellow

      Organization: MATS (ML Alignment & Theory Scholars)

      Location: Berkeley, CA

      Region: US/Canada

      Type: On-site

      Category: Fellowship

      Posted: Dec 20, 2025

      The MATS Program is a 12-week independent research fellowship that connects emerging researchers with top mentors in AI alignment, interpretability, governance, and security. Fellows conduct intensive research while participating in workshops, talks, and networking events to advance safe and reliable AI.

      View Opportunity

    • TARA Teaching Assistant

      Organization: TARA

      Location: Remote

      Region: Remote

      Type: Remote

      Category: Part-time

      Posted: Dec 19, 2025

      The Teaching Assistant supports the TARA educational program by assisting in the delivery of curriculum and student engagement. The role involves working closely with lead instructors to facilitate a productive learning environment for all participants.

      View Opportunity

    • SPAR Research Fellow

      Organization: SPAR

      Location: Remote

      Region: Remote

      Type: Remote

      Category: Fellowship

      Posted: Dec 19, 2025

      SPAR is a part-time research program that pairs aspiring AI safety and policy researchers with expert mentors to address risks from AI. Mentees work on impactful research projects for three months, culminating in a Demo Day and career fair with leading safety organizations.

      View Opportunity

    • Research Scientist – CBRN Risk Modeling

      Organization: SaferAI

      Location: Paris, France, London, UK and Remote

      Region: UK, EU, Remote

      Type: On-site

      Category: Full-time

      Posted: Dec 19, 2025

      SaferAI is seeking a Research Scientist to lead the development of CBRN risk models and monitoring systems for a European Commission tender. The role involves conducting technical research at the intersection of biosecurity and AI safety to inform regulatory enforcement for general-purpose AI systems.

      View Opportunity

    • Grantee - AI4PG Fast Grants

      Organization: Recerts Journal

      Location: Global

      Region: Remote

      Type: Remote

      Category: Funding

      Posted: Dec 19, 2025

      This program provides fast grants of up to $10,000 to support AI research and development that improves decision-making, allocation, and impact assessment in public goods. Selected projects aim to develop AI-powered tools such as grant allocation algorithms and predictive analytics while undergoing peer review through journal publication.

      View Opportunity

    • Grantee - AI for Safety and Science Nodes 2026

      Organization: Foresight Institute

      Location: San Francisco, CA and Berlin, Germany

      Region: US/Canada, EU

      Type: On-site

      Category: Funding

      Posted: Dec 19, 2025

      This initiative provides financial grants, office space, and dedicated compute resources to researchers and builders using AI to advance science and safety. The program aims to create a decentralized ecosystem that supports open and secure AI-driven progress across security, biotechnology, and nanotechnology.

      View Opportunity

    • AI and Society Researcher

      Organization: ELLIS Institute Tübingen and MPI-IS

      Location: Tübingen, Germany

      Region: EU

      Type: On-site

      Category: Full-time

      Posted: Dec 19, 2025

      The COMPASS research group is hiring researchers across all levels to focus on safe, aligned, and steerable AI agents. Research areas include AI security, multi-agent dynamics, and mitigating risks like prompt injection and deceptive alignment.

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    • Accelerator Fellow

      Organization: Accelerating AI Ethics

      Location: Global

      Region: US/Canada, UK, EU, Asia, Australia, Others

      Type: On-site

      Category: Fellowship

      Posted: Dec 18, 2025

      The Accelerator Fellowship Programme is a global AI ethics hub dedicated to tackling the toughest ethical challenges posed by artificial intelligence. It brings together leading thinkers and experts to collaborate on impactful contributions to AI regulation, industry practices, and public awareness.

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    • AI-for-Science Postdoctoral Fellow

      Organization: FutureHouse

      Location: San Francisco, CA

      Region: US/Canada

      Type: Hybrid

      Category: Fellowship

      Posted: Dec 18, 2025

      This fellowship offers early-career scientists the opportunity to pursue independent research at the intersection of AI and science with full access to computational and laboratory resources. Fellows divide their time between San Francisco and academic partner institutions to accelerate high-impact scientific discoveries.

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    • Grantee - Engineering Ecosystem Resilience

      Organization: ARIA (Advanced Research and Invention Agency)

      Location: United Kingdom

      Region: UK

      Type: Remote

      Category: Funding

      Posted: Dec 18, 2025

      This opportunity provides seed funding for individuals or teams pursuing research focused on advanced monitoring and resilience-boosting interventions to prevent ecological collapse. High-potential proposals that align with or challenge core beliefs in ecosystem engineering can receive up to £500,000 to uncover new pathways for planetary prosperity.

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    • Grantee - Sustained Viral Resilience

      Organization: Advanced Research and Invention Agency (ARIA)

      Location: Global

      Region: US/Canada, UK, EU, Asia, Australia, Others

      Type: Remote

      Category: Funding

      Posted: Dec 18, 2025

      This £46m programme seeks to create a new class of medicines called sustained innate immunoprophylactics to provide durable protection against respiratory viruses. ARIA is funding ambitious projects across synthetic biology, systems immunology, and AI to foster radical advances in viral resilience.

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    • Grantee - Enduring Atmospheric Platforms

      Organization: Advanced Research and Invention Agency (ARIA)

      Location: United Kingdom

      Region: UK

      Type: Remote

      Category: Funding

      Posted: Dec 18, 2025

      This £50m programme aims to develop low-cost, persistent, and autonomous atmospheric platforms capable of keeping a 20 kg payload aloft and powered for seven days. It seeks interdisciplinary proposals for novel architectures that can provide a scalable alternative to orbital satellites for high-performance connectivity.

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    • Grantee - Precision Mitochondria

      Organization: ARIA (Advanced Research and Invention Agency)

      Location: United Kingdom

      Region: UK

      Type: On-site

      Category: Funding

      Posted: Dec 18, 2025

      This programme provides at least £55m to support the creation of a foundational toolkit for engineering the mitochondrial genome in vivo. It funds ambitious interdisciplinary projects focused on delivering, expressing, and maintaining nucleic acids within the mitochondrial matrix to enable new therapeutic interventions.

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    • Grantee - AI Futures Fund

      Organization: AI Futures Fund

      Location: Global

      Region: US/Canada, UK, EU, Asia, Australia, Remote, Others

      Type: Remote

      Category: Funding

      Posted: Dec 18, 2025

      The AI Futures Fund is a collaborative initiative designed to accelerate AI innovation by providing startups with equity funding and early access to advanced Google DeepMind models. Participants receive technical expertise from Google researchers and Cloud credits to support the scaling of AI-powered products.

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    • Heron AI Security Fellow

      Organization: Apart Research and Heron AI Security

      Location: London, Tel Aviv, and San Francisco, CA

      Region: US/Canada, UK, Remote, Others

      Type: Hybrid

      Category: Fellowship

      Posted: Dec 18, 2025

      A part-time research program where cybersecurity professionals collaborate with field leaders to secure transformative AI systems through concrete technical projects. Research teams work for four months to produce publishable results, open-source prototypes, or technical reports under expert guidance.

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    • Postdoctoral Fellow

      Organization: University of Toronto / Vector Institute

      Location: Toronto, Canada

      Region: US/Canada

      Type: On-site

      Category: Full-time

      Posted: Dec 18, 2025

      This role involves leading research on methodological and theoretical advances at the intersection of uncertainty quantification and reasoning in large language models. Successful candidates will have a PhD, strong programming skills, and a track record of publications at top machine learning venues like NeurIPS or ICML.

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    • Grantee - Interpretability Challenge

      Organization: Martian

      Location: Global

      Region: Remote

      Type: Remote

      Category: Funding

      Posted: Dec 18, 2025

      The Martian Interpretability Challenge offers a $1 million prize to advance the field of interpretability with a specific focus on code generation. This initiative aims to transform AI development from 'alchemy' into 'chemistry' by developing principled ways to understand and control how models function.

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    • Project Incubator

      Organization: Sentient Futures

      Location: Global

      Region: Remote

      Type: Remote

      Category: Fellowship

      Posted: Dec 18, 2025

      This eight-week incubator pairs fellows with expert mentors to execute projects aimed at improving the welfare of future sentient beings across various cause areas. Participants work at least five hours per week to deliver a finished output or a detailed funding proposal for long-term impact.

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    • Fellow

      Organization: Tarbell Center for AI Journalism

      Location: San Francisco Bay Area and various newsroom locations

      Region: US/Canada, UK, Others

      Type: On-site

      Category: Fellowship

      Posted: Dec 18, 2025

      The Tarbell Fellowship is a one-year program for journalists to cover artificial intelligence through nine-month newsroom placements and specialized training. Fellows receive stipends ranging from $60,000 to $110,000 alongside mentorship from expert reporters and a weeklong summit in the San Francisco Bay Area.

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    • Research Assistant - Science and Emerging Technology

      Organization: RAND Europe

      Location: Cambridge, UK

      Region: UK

      Type: Hybrid

      Category: Full-time

      Posted: Dec 18, 2025

      The Research Assistant will support policy-oriented research projects within the Science and Emerging Technology team at RAND Europe. This role involves conducting literature reviews, data analysis, and contributing to high-quality reports for various public and private sector clients.

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    • Research Engineer, Cybersecurity RL

      Organization: Anthropic

      Location: San Francisco, CA; New York City, NY

      Region: US/Canada

      Type: Hybrid

      Category: Full-time

      Posted: Dec 18, 2025

      This role involves advancing AI capabilities in secure coding and vulnerability remediation through reinforcement learning research and engineering. Candidates will design RL environments and conduct experiments to enhance defensive cybersecurity workflows within Anthropic's Horizons team.

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    • Visiting Fellows

      Organization: Constellation Research Center

      Location: Berkeley, CA

      Region: US/Canada

      Type: On-site

      Category: Fellowship

      Posted: Dec 18, 2025

      The Visiting Fellows program brings together professionals from diverse sectors to join Constellation's Berkeley-based workspace for three to six months to advance their research. Fellows receive comprehensive support including travel reimbursement, housing, meals, and 24/7 access to a collaborative environment with leading AI researchers.

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    • Policy Advisor, UK

      Organization: Anthropic

      Location: London, UK

      Region: UK

      Type: On-site

      Category: Full-time

      Posted: Dec 18, 2025

      This role involves leading the development of UK legislative and regulatory positions while engaging with government and parliamentary stakeholders to advance AI safety. The advisor will translate technical research into policy recommendations and collaborate with global legal and technical teams to shape Anthropic's strategic outlook.

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    • Anthropic AI Safety Fellow

      Organization: Anthropic

      Location: London, UK; Ontario, CA; San Francisco, CA; Berkeley, CA

      Region: US/Canada, UK, Remote

      Type: Hybrid

      Category: Fellowship

      Posted: Dec 18, 2025

      The Anthropic Fellows Program is a four-month initiative designed to accelerate AI safety research by providing funding, mentorship, and stipends to technical talent. Fellows work on empirical projects aligned with research priorities such as scalable oversight and mechanistic interpretability, aiming to produce public research papers.

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    • Anthropic AI Security Fellow

      Organization: Anthropic

      Location: San Francisco, Berkeley, London, Ontario, or Remote

      Region: US/Canada, UK, Remote

      Type: Hybrid

      Category: Fellowship

      Posted: Dec 18, 2025

      The Anthropic Fellows Program provides funding, mentorship, and compute resources for technical talent to conduct empirical research on AI security and safety for four months. Fellows work with Anthropic researchers to produce public outputs, such as papers, focusing on defensive AI use and securing infrastructure.

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    • Summer Fellowship 2026, Applied Track

      Organization: Centre for the Governance of AI (GovAI)

      Location: Oxford, UK

      Region: UK

      Type: On-site

      Category: Fellowship

      Posted: Dec 18, 2025

      The Summer Fellowship Applied Track is a three-month program designed to accelerate careers in AI governance through projects in fields like communications, policy, and operations. Fellows participate in expert seminars and receive mentorship to develop non-research skill sets for the AI safety ecosystem.

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    • AI Biosecurity Manager

      Organization: Frontier Model Forum

      Location: U.S. (Select States)

      Region: US/Canada

      Type: On-site

      Category: Full-time

      Posted: Dec 18, 2025

      The AI Biosecurity Manager will drive consensus on threat models, evaluations, and mitigations for biological and chemical risks associated with frontier AI models. This role involves coordinating expert workshops, managing collaborative research projects, and documenting emerging industry practices for managing high-level biosecurity threats.

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