Real, sourced investigations into funding, policy, markets, labs, technology and jobs — the signal we turn into each week's series. Every number is cited. Search below for what applies to you.
As universities move from standalone AI courses to industry-governed pipelines, compute infrastructure, internships, and federally funded consortia, who is actually shaping the technical workforce: faculty, federal agencies, or the companies sitting on advisory boards?
AnsweredAs universities move from standalone AI courses to industry-governed pipelines, compute infrastructure, internships, and federally funded consortia, who is actually shaping the technical workforce: faculty, federal agencies, or the companies sitting on advisory boards?
AnsweredWhat changes when a university stops treating AI as a course or lab and starts operating it like shared infrastructure — compute, models, data, training, governance, and access for thousands of users?
AnsweredAre the most commercially important AI agents about to leave browsers and IDEs and enter laboratories, factories, robots, and supply chains — and what new verification, cybersecurity, and systems skills does that create?
AnsweredAre U.S. universities quietly turning software engineering students into scientific operators as agentic AI moves from coding assistants into autonomous research workflows?
AnsweredWhich university ecosystems are best positioned to capture the NSF's new $100 million State and Regional AI Infrastructure Hubs program — and what student, startup and workforce opportunities appear around those compute hubs before the awards are made?
AnsweredIf employers increasingly hire engineers to orchestrate, evaluate and secure AI agents, which university curricula are already teaching the workflow skills that map to the emerging job — and which are still teaching around it?