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Commentary: What if AI retraining is just a comforting lie?
🇸🇬 Singapore /Technology

Commentary: What if AI retraining is just a comforting lie?

From CNA · () English

Summarized and contextualized by DistantNews.

At a glance

Opinion Named sources Context piece
  • The article questions the effectiveness of "retraining" and "upskilling" as solutions to potential job displacement caused by artificial intelligence.
  • It highlights significant data gaps in predicting AI's impact on white-collar jobs, with warnings often coming from tech industry insiders.
  • The piece argues that policymakers should address the "messy middle" of AI adoption rather than relying on retraining, which has historically shown weak results.

As artificial intelligence rapidly advances, the promise of "retraining" and "upskilling" is being widely touted as the solution to potential widespread job displacement. However, this commentary argues that these concepts may be little more than a "comforting lie," a politically palatable narrative used to manage the transition while potentially abandoning those most affected.

retraining”, “upskilling” and the hollow language used to make dislocation politically palatable.

— Catherine ThorbeckeCatherine Thorbecke is quoted on the language used to describe job transitions in the face of AI advancements.

The honest truth is that no one truly knows the extent to which AI will trigger a "white-collar jobpocalypse." Current data gaps leave predictions highly speculative. Notably, many of the loudest warnings originate from the very people building and selling AI technology, whose forecasts can sometimes serve as hype or a cover for unrelated cost-cutting measures. Think-tank and analyst predictions are equally varied and often dramatic.

The article emphasizes that policymakers and tech leaders should not wait for mass disruptions to occur. Instead, they must confront the "messy middle" – the difficult period of AI adoption that lies between current challenges and a hypothetical future of AI abundance. Relying solely on retraining is a flawed strategy, as demonstrated by the weak outcomes of such policies following deindustrialization in the past. The scale of potential labor exposure to AI, estimated to affect 27% of workers in advanced economies, dwarfs previous industrial shifts.

has been one of the worst-performing categories of labour market intervention

— Molly KinderMolly Kinder, a Senior Fellow at the Brookings Institution, is cited regarding the historical ineffectiveness of retraining policies.

Business leaders are already invoking retraining, with many CEOs stating a significant portion of their workforce will need upskilling. Yet, the definition of "retraining" and "upskilling" often remains maddeningly vague, frequently boiling down to buzzwords like "AI fluency" combined with "uniquely human capabilities." The commentary urges a more concrete approach, suggesting that these efforts might be more about selling a vision of the future than genuinely preparing people for the immediate disruptions AI will bring.

27 per cent of workers in advanced economies, more than 120 million people, are likely to be “meaningfully affected by AI”.

— Bloomberg EconomicsA statistic from Bloomberg Economics highlights the potential scale of AI's impact on the global workforce.
DistantNews Editorial

Originally published by CNA. Summarized and contextualized by our editorial team with added local perspective. Read our editorial standards.

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