Research sweep · deep · 2024 – 2026

Designing AI Operating Models Around Humans

How humans are adapting to AI between June 2024 and June 2026, weighing measured benefits and harms, and how organizations should design operating models around human cognitive load and behavioural patterns rather than forcing adoption, covering cognitive overload from supervising multiple agents at machine speed (context switching, automation complacency, vigilance fatigue), the poor budget and value outcomes of top-down AI mandates and token-maximizing usage, the gap between model welfare functions (such as Anthropic's) and any equivalent human or worker welfare function, and how much good human outcomes depend on model training versus orchestration and deployment design.

  • GPT-5.5
  • financial
  • frontier
  • academic
  • vc
  • blogs
  • tech

Synthesised 2026-06-16

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AI adoption has moved faster than organisational learning. By Q1 2026, Gallup found that half of US employees used AI at work and 13% used it daily, yet PwC’s CEO survey found that 56% of CEOs saw no revenue or cost benefit from AI and only 12% saw both revenue growth and lower costs. The centre of gravity has shifted…

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