Insights2026.10.23
Workday reviewed 11 months of job requisitions from 554 large employers. Requirements for using AI tools fell 25% after peaking in January 2026. Requirements for building AI into work rose 51% from September 2025. The data can't tell us why demand for using AI fell.
Insights2026.10.19
Big banks say AI has sped up legal work and want lower fees. Yet law firm billed hours rose 4.2% in the first half of 2026, more than double the usual pace. Firms are counting AI learning time toward internal targets, and clients like AT&T are moving work in-house, changing what the negotiation is about.
Insights2026.10.19
Anthropic used Claude to go through 19,000 tasks across about 900 US occupations, one by one. Measured by total US work hours, robots can do 34% of work, mostly in dedicated spaces like factories. By the same measure, they are cheaper than people for just 0.3%. Even if robot costs fall 3% a year, it would take about 40 years for robots to be cheaper across 10% of total work hours.
Insights2026.09.27
Shopify has built its mobile apps from a single codebase since 2020, and now it is rewriting them separately for iOS and Android. Coding agents cut the cost of writing everything twice, so Shopify's focus has moved from the amount of code to the time it takes to check what the AI built.
Insights2026.09.27
Researchers from Princeton, the UK AI Security Institute, and other institutions gave frontier agents the research questions behind two unpublished NeurIPS submissions, then had the original authors grade the results. The agents handled everything from the literature review to typesetting without human help, yet both papers were rejected. Here are the five failures the paper traced in the run logs, along with the limits the authors acknowledged.
Insights2026.09.27
In 13 experiments preregistered before any data was collected, University of Arizona researchers Schilke and Reimann found that a cover letter credited to a career coach earned the same trust as one with no note at all, while only the one credited to AI lost trust. The penalty held across six ways of wording the disclosure and when disclosure was required by rule, and in the final experiment an advisor exposed by a third party scored lower still than one who disclosed it himself.
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