Will any major economist publicly revise downward their AI labor impact thesis during 2026?

As of mid-2026, we are approximately 3-4 years into the generative AI deployment cycle following ChatGPT's November 2022 launch. Historical patterns show that major economists typically revise labor impact theses downward within 3-5 years of transformative technology adoption once real-world displacement data accumulates and proves less severe than initial pessimistic projections (analogous to how Internet automation predictions from the 1990s were revised). Given that 2026 represents a mature phase of AI integration with substantial employment data now available, at least one major economist (among figures like Daron Acemoglu, Erik Brynjolfsson, or similar high-profile labor economists) is likely to have publicly moderated earlier claims about AI-driven job losses. The probability is tempered by the possibility that actual displacement has matched or exceeded initial predictions in specific sectors, or that economists maintain their theses through definitional shifts rather than outright revision.