The sources

Chapter 23. The Floor Keeps Rising

10 sources behind this chapter. Each one carries a note on what it is doing in the argument.

The chapter itself, for readers of the book

  1. Global Talent Trends 2026

    Mercer Mercer, 25 February 2026

    The floor-rising chapter uses Mercer’s survey to show the fear hardening: the share of workers worried that AI would take their jobs rose from 28 to 40 per cent.

    Mercer. 'Global Talent Trends 2026.' 25 February 2026.

  2. AI Doesn’t Reduce Work, It Intensifies It

    Ranganathan, Aruna, and Xingqi Maggie Ye Harvard Business Review, 9 February 2026

    An eight-month study inside a 200-person company, used for the uncomfortable finding that AI did not simply remove work. It increased the speed, volume and intensity of what people were expected to do.

    Ranganathan, Aruna, and Xingqi Maggie Ye. 'AI Doesn't Reduce Work, It Intensifies It.' Harvard Business Review, 9 February 2026.

  3. Evidence of an AI-driven shakeup of job markets is patchy

    Oxford Economics Research briefing, . and perma.cc/4F35-4NLL, January 2026

    Used as a brake on the loudest employment claims. Oxford Economics found signs of disruption, but the evidence for a broad AI-driven labour-market shock was still patchy.

    Oxford Economics (May, Ben, director of global macro research). 'Evidence of an AI-driven shakeup of job markets is patchy.' Research briefing, January 2026. oxfordeconomics.com/resource/evidence-of-an-ai-driven-shakeup-of-job-markets-is-patchy/ and perma.cc/4F35-4NLL

  4. When Using AI Leads to “Brain Fry”

    Bedard, Julie, Matthew Kropp, Megan Hsu, Olivia T. Karaman, Jason Hawes, and Gabriella Rosen Kellerman Harvard Business Review, 5 March 2026

    This study supplies the ‘brain fry’ numbers: more serious errors, more decision fatigue and a point at which adding another AI tool stopped helping and began making the work worse.

    Bedard, Julie, Matthew Kropp, Megan Hsu, Olivia T. Karaman, Jason Hawes, and Gabriella Rosen Kellerman. 'When Using AI Leads to “Brain Fry”.' Harvard Business Review, 5 March 2026.

  5. The Economic Potential of Generative AI: The Next Productivity Frontier

    McKinsey & Company McKinsey Global Institute, June 2023

    This is where the book gets the estimate that generative AI could affect activities occupying 60 to 70 per cent of employees’ time—not necessarily whole jobs, but a great deal of what sits inside them.

    McKinsey & Company. 'The Economic Potential of Generative AI: The Next Productivity Frontier.' McKinsey Global Institute, June 2023. (The 60 to 70 percent automation figure.)

All the sources, chapter by chapter