Navigating the AI Transition in the Labour Market | Dr Fabien Curto Millet at the King's AI Summit

Navigating the AI Transition in the Labour Market | Dr Fabien Curto Millet at the King's AI Summit

Humanities, Social Sciences & Thought Economics & Finance KCEconomicsKCFLabour
🎙 Dr Fabien Curto Millet 👥 1K 📅 June 12, 2026 ⏱ 11 min 👁 32 📄 expert opinion 🧭 2026-08-16
Available in: English (current) Français

Keywords

AI transitionlabour marketjobsskillspublic-private partnerships

Summary

In this keynote at the King’s AI Summit, Dr Fabien Curto Millet, Chief Economist at Google, addresses the economic and labour market implications of AI. He criticizes alarmist prophecies, arguing they are not evidence-based and can be paralyzing. He highlights AI as a potential solution to sluggish productivity and demographic headwinds, citing OECD projections of a 40% drag on GDP per capita growth due to aging. He introduces a framework of jobs lost, gained, and changed, emphasizing that most jobs will be transformed. He references David Autor’s research showing 60% of current US employment is in roles that didn’t exist 80 years ago, suggesting AI will similarly create new opportunities. He contrasts AI’s diffuse impact with the concentrated China shock, which caused 2.4 million job losses in the US, and argues AI will be more like the ‘clerical shock’ that was less disruptive. He proposes public-private partnerships for skilling, noting that over 80% of the 2030 workforce is already employed, and highlights Google’s training of 36 million people in digital skills. He also suggests using AI to improve job training matching, referencing a paper by Julian Jacobs and Jordan Kennedy on the Workforce Innovation and Opportunity Act. He concludes by emphasizing the need for adaptability and resilience in product and capital markets to foster new work, and frames the future as a design problem rather than a forecasting exercise.

229 words

Critical Evaluation

Value of the Information & Strength of the Argument

The talk provides valuable insights from a senior economist, offering a balanced perspective that counters alarmist narratives. The argumentation is coherent, using historical analogies (China shock, clerical shock) and references to academic research (David Autor) to support the thesis that AI will be beneficial in the long run but requires careful management of the transition. The speaker effectively argues for proactive policies, such as public-private partnerships and AI-enhanced training, though the argumentation is more persuasive than rigorously data-driven, relying on selected examples and general trends.

94 words

Title / Content Match

The title accurately reflects the content, which focuses on the labour market impacts of AI.

Quality & Reliability

7/10

The speaker is a Chief Economist at Google, providing expert opinion grounded in economic research, but the talk is a keynote with limited depth and no formal citations.

Key Moments

Cited Sources

Concurring Sources

  • OECD Employment Outlook 2025 — Mentions demographic headwinds and labour market challenges.

Contribution & Novelties

The talk offers a refreshing, evidence-based perspective on AI’s labour market impact, emphasizing the importance of managing the transition rather than succumbing to fear. It introduces the concept of AI as a ‘whole economy phenomenon’ that will be less disruptive than trade shocks, and highlights the potential of AI to improve training matching. The speaker’s position as a Chief Economist at Google adds practical insight into industry-led skilling initiatives.

Pour aller plus loin :

  • David Autor’s research on new work — Relevant to the 60% statistic on new jobs.
  • OECD Employment Outlook 2025 — Source for demographic headwinds and labour market projections.
  • Workforce Innovation and Opportunity Act (WIOA) — Relevant to the discussion on retraining programs.

116 words

Radar Profile

The radar profile shows moderate scores across all dimensions, with slightly higher quality and reliability, reflecting a well-informed but not deeply technical talk. The low quantity of information is due to the short duration and high-level nature, while the moderate technical level indicates accessibility to a general audience.

Reliability 7/10