OpenAI published a new Economic Research item arguing that agentic AI shifts knowledge work from short prompt-response exchanges to delegated, long-horizon tasks. by May 2026, 80.6% of sampled individual users had made at least one Codex request estimated to exceed 30 minutes of human work, 70.2% had made one exceeding one hour, and 25.6% had made one exceeding eight hours; OpenAI also reports Codex becoming the primary AI tool across departments including Legal, Finance, and Recruiting.
OpenAI published a new Economic Research item arguing that agentic AI shifts knowledge work from short prompt-response exchanges to delegated, long-horizon tasks.
This is a leading-industry early-adopter case study of how agents may expand task boundaries beyond software engineering into general organizational work.
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OpenAI
A review of evidence across cognitive science, education, medicine, and human-factors research finds that fully offloading mental work to AI can weaken the acquisition and retention of the specific skills people stop practicing. The authors distinguish that evidence from broader claims about declining intelligence: effects on foundational abilities such as attention and working memory remain uncertain, while AI used as a collaborator, tutor, or source of feedback can preserve or improve learning.
In a randomized field experiment across a chain of middle and high schools in Turkey, giving teachers a generative-AI support tool reduced students’ intrinsic motivation by 0.11 standard deviations. Average academic performance did not change, but students taught by lower-performing teachers experienced significant declines in both performance and confidence, showing that a tool that makes lesson preparation easier for teachers does not automatically improve the student experience.
The European Commission has issued operational guidance for Article 50 of the AI Act before its transparency obligations begin applying on August 2, 2026. Providers must disclose when people are interacting with systems such as chatbots, agents, or avatars and make generative outputs detectable through machine-readable marking; deployers must disclose emotion-recognition or biometric-categorization uses and clearly label deepfakes and certain AI-generated public-interest text when it lacks human review or editorial control.