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

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      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.

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    • 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.

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    • 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.

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    • 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.

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    • 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.

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    • 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

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    • 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.

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    • 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.

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    • 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.

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    • 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.

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    • 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.

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    • 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.

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    • 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.

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    • 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.

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    • 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.

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    • 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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