AI promises productivity and growth, but its benefits and disruption will not be distributed evenly. This session explores how the technology could reshape jobs, wages, industries and economic power. A leading AI scientist and employment expert examine who stands to gain, which workers face the greatest change and what a genuinely inclusive transition would require.



William Isaac is a Principal Scientist at Google DeepMind, focusing on researching GDM’s in-house technologies and advising teams on the best approach for developing novel mitigations. In his role, William researches the ethical and societal impacts of AI. Alongside his team, he develops mitigation frameworks and methods, which are formalized into papers shared widely to deepen industry understanding. William is motivated to further improve modes of evaluation and red teaming as well as collaborating to align AI behaviour with a broad range of human values. A computational social scientist, William is also a Research Affiliate at the Centre for the Governance of AI. William previously served as an Open Society Foundations Fellow and Research Advisor for the Human Rights Data Analysis Group.


Georgia Bennett is a Senior Manager at Deloitte, specialising in AI Change and Transformation Delivery. Her work tends to focus on the intersection between people and technology, helping organisations adopt new technology and unlock its value. More recently she has led a programme to deploy new AI capabilities, build workforce fluency and reinvent how work gets done across a large-scale enterprise.
For the last two years she has led the Black Experience for the firm's Technology & Transformation business, building community and creating opportunities for Black colleagues to advance. She is also co-founder and director of YDWC, a social enterprise and professional network that empowers talent from diverse backgrounds and partners with global organisations to drive positive social and institutional change.
In addition to a Master's in Civil Engineering, Georgia has completed further study in Data Science, AI and Machine Learning at the University of Cambridge, and is particularly interested in AI alignment and increasing civic engagement in how AI systems are designed, deployed and governed.


Chioma Nwankwo is an AI researcher focused on human-centered AI and workplace productivity. Her work examines how AI systems are designed, adopted, and experienced in real organizational contexts, with a particular focus on reducing drudgery while preserving trust, autonomy, and meaningful work. She combines academic research in human–AI interaction with industry experience building and implementing technology-driven solutions. Chioma is passionate about bridging the gap between AI innovation and real-world impact, ensuring emerging technologies are inclusive, usable, and aligned with human needs. She has worked across research, product, and leadership roles and regularly speaks on AI adoption, future-of-work skills, and responsible technology design.


Damian Grimshaw is Professor of Employment Studies at King’s College London. His published research covers theory and evidence on AI and the future of work, low-wage labour markets, outsourcing, precarious work and gender inequality. He currently leads ESRC research projects on AI, skill changes and innovation strategies, alongside advisory work for the UK government and the United Nations. He is expert in mixed qualitative and quantitative methods. His research and advisory expertise is especially focused on generating ideas and actions to deliver good jobs for all.