What the research found
Brynjolfsson, Li and Raymond's Generative AI at Work appeared in The Quarterly Journal of Economics in 2025. The study analyzed a staggered deployment of an assistant among 5,172 customer-support agents. Access was associated with a 15% average increase in issues resolved per hour, with larger gains among less experienced and lower-skilled workers. The most experienced workers saw small speed gains and small quality declines. The published result should not be confused with figures from earlier working-paper versions. [1]
What the design can establish
This is evidence from a particular customer-support organization and deployment, not a randomized healthcare trial. The assistant proposed responses while agents retained responsibility. The results concern task performance and worker differences; they do not establish autonomous clinical capability, healthcare labor savings or the share of economic benefit captured by a software vendor. Transfer to a new workflow is a hypothesis. [1]
My operator interpretation
I would identify where a healthcare organization repeatedly recreates expertise that could be made easier to access. Administrative work with traceable source information may provide a bounded starting point. The design should specify the input, the proposed output, the responsible reviewer and the condition that sends a case to a specialist.
The worker differences make deployment strategy material. I would not assume that the same interface, training or review requirement fits a new employee and an experienced specialist. The evaluation should examine both groups and preserve a route for experts to correct the system. Averages can hide a tool that helps one part of the workforce while imposing work or reducing quality elsewhere.
The operating value depends on the destination of released capacity. It may reduce a backlog, shorten response time, improve service consistency or support more completed work. I would name that destination before recognizing a financial benefit. Faster handling of one step can otherwise move the queue to another team without improving the overall service.
For value capture, the contract must be assessed alongside the workflow. Software fees, implementation, review, correction and ongoing maintenance all affect the buyer's return. A vendor's attractive pricing metric does not establish that the customer retains a sufficient share of the benefit. I would evaluate cost per correctly completed workflow, including exceptions, rather than cost per generated answer.
The decision I would make
I would expand only after a controlled operational pilot demonstrates a useful change in completed work and an acceptable quality profile across relevant worker groups. The financial case should then show how that measured change affects actual capacity or spending. This is an executive application of the evidence, not a healthcare outcome reported in the paper.
What this evidence cannot settle
The study concerns customer support outside healthcare. Its productivity estimate should not be entered as an assumed clinical or healthcare administrative effect.