METR reports that developers’ reluctance to work without AI and selective task submission weakened its follow-up productivity study. Concurrent agent work also complicated time measurement. As AI changes which tasks people attempt and how they work, established experimental designs may no longer capture the benefits reliably.
The authors propose five principles covering research goals, procedures, knowledge sharing and public communication under uncertainty about AI consciousness. Their proposal separates convincing appearances from scientific assessment and asks what commitments research organisations should make before the question is settled.
With client consent, Morgan Stanley’s Debrief produces meeting notes, action items and draft follow-up emails, saving notes to Salesforce. Advisors edit and decide what to send, placing AI inside an existing service workflow.
Define success as a business change, make ownership explicit, then decide which technology the work needs.
ERPBench brings pricing, production, procurement and finance into a shared simulation to examine how market conditions change agent performance.
Supplementary study · 11
Do AI gains become lasting organizational capability? This study links recent productivity gains to durable, firm-specific knowledge built through practice.
Core reading · 09
Valuations can influence investment and capital formation, rather than merely reflect productive capacity. Can temporary optimism leave lasting productive assets?
Supplementary study · 12
Workers who build AI, workers displaced by it and workers in other production face different outcomes. How do competition and monopoly change distribution?
An agent benchmark for end-to-end business spreadsheet workflows, moving the focus from individual operations toward complete delivery.
Core reading · 06
AI can participate in production while access and infrastructure control shape its returns. Who has the ownership and bargaining power to share productivity gains?