The Federal Reserve now identifies the AI infrastructure boom as a visible macroeconomic force rather than a speculative future effect. It reports that real business fixed investment grew at an 11% annualized rate in the first quarter, with most of the strength apparently connected to AI infrastructure; data-center construction and associated equipment and software spending have surged, supporting manufacturing and international high-technology exports.
The Federal Reserve now identifies the AI infrastructure boom as a visible macroeconomic force rather than a speculative future effect.
At the same time, elevated demand for semiconductors, computers, software, electronics, metals, and other data-center inputs is contributing to price and supply-chain pressures.
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Federal Reserve Reuters
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.