Who gets displaced while we celebrate demos?
OECD and IMF evidence show ambiguous aggregate job effects and real unevenness. Score dignity before you celebrate a demo.
The trap
Keynotes say transformation. Workers hear attrition, task loss, or a hiring freeze dressed as innovation. Celebration without a scorecard is how dignity becomes an externality.
What the evidence shows
The Organisation for Economic Co-operation and Development (2023) concluded that, so far, there is little evidence of large negative aggregate employment effects from AI, while stressing displacement, productivity, and reinstatement channels and the need for policy that helps workers adjust. Huang (2024), in an IMF working paper on U.S. regions, likewise framed AI’s labor impact as theoretically ambiguous and empirically evolving across places and skills.
Clear eyes means both truths: mass unemployment is not a settled fact today, and uneven harm is still a moral and managerial problem.
What this means for people
If your demo saves headcount, name who pays. If it creates new tasks, name who gets trained. Enthusiasm without an owner is theater.
Practice (15 minutes)
- Take one AI workflow proposal in your org.
- Score it: tasks removed, tasks added, people affected, training plan, failure cost.
- Require a named human owner for outcomes that touch customers or livelihoods.
- Delay adoption until the dignity scorecard has answers, not slogans.
Reflection
Whose job did the last demo quietly assume away?
Skeptic check
- “No aggregate collapse yet” is not “no one is harmed” (Organisation for Economic Co-operation and Development, 2023).
- IMF working papers are research in progress, not Board positions (Huang, 2024).
- Firm case studies can diverge from national statistics.
See also
- Pulse: Score the demo before the workflow
- Challenge: The hard part of being human
- Challenge: Surviving the hype cycle
References
Huang, Y. (2024). The labor market impact of artificial intelligence: Evidence from US regions (IMF Working Paper WP/24/199). International Monetary Fund. https://www.imf.org/-/media/files/publications/wp/2024/english/wpiea2024199-print-pdf.pdf
Organisation for Economic Co-operation and Development. (2023). Artificial intelligence and jobs: No signs of slowing labour demand (yet). In OECD employment outlook 2023. https://www.oecd.org/en/publications/oecd-employment-outlook-2023_08785bba-en/full-report/artificial-intelligence-and-jobs-no-signs-of-slowing-labour-demand-yet_5aebe670.html