The First-Destination Data Gap Is Becoming a Funding Risk

Also in this issue

• Generic AI Is Creating More Work for Student-Support Teams

  AI-written financial-aid appeals are increasing back-and-forth because they lack usable context. Higher ed needs workflow-specific AI with structured inputs and human oversight.

• Accreditation Is Turning Into an Outcomes Fight

  Three programmatic accreditors withdrew from federal recognition as the administration raised the bar on student outcomes. Institutions need defensible, continuously captured outcomes data.

• Big Tech Is Building a Skilled-Trades Pipeline Across 30 States

  A four-company alliance is scaling employer-backed skilled-trades pathways across 30 states. Colleges and workforce programs will need stronger participation, placement, and mobility data to become core partners.

• The AI Adoption Gap Is Now a Training Gap

  AI is already embedded in student behavior, but institutional training and guardrails are lagging. The next phase of higher-ed AI adoption is operational enablement, not another tool rollout.

• Federal Earnings Test: When Colleges Could Actually Lose Loan Access

  The first Do No Harm earnings-test penalties could hit programs in 2028. Colleges need reliable program-level earnings evidence before accountability becomes a funding crisis.

• High-Value Programs Need Better Advising, Not Just Better Data

  Program-value data matters only when advising and outcomes infrastructure turn it into better student choices and stronger pathways to jobs or transfer.

• Why Confidence in College Fell From 57% to 38%

  Cost and weak job outcomes explain more than double the political reasons people gave for losing confidence, while nearly half expect AI to reduce the value of a degree.

• Federal CTE Eligibility Rules Are Becoming a Community-College Compliance Problem

  Iowa's new Perkins-grant acknowledgments show how quickly federal eligibility policy can reshape dual enrollment, adult education, and CTE access.

• Only 14% of Learners Say They Are Ready for AI-Enabled Work

  New Pearson and AWS research finds that exposure to AI is not translating into workplace readiness. Students need structured practice, employer feedback, and proof that they can apply AI to real problems.

• Metallica's Workforce Initiative Expands to 75 Community Colleges

  The program will now support roughly 13,000 students in skilled-trades and CTE pathways. Its growth shows how targeted private funding can remove the equipment, tuition, and material barriers that keep learners out of high-demand careers.

• Gen Z's Employment Crisis Is Becoming a Career-Navigation Problem

  With 5.6 percent of recent graduates unemployed and 41.5 percent underemployed, young workers need clearer labor-market signals, applied AI skills, and faster routes to experience.

• AI Literacy Is Becoming an Entry-Level Hiring Requirement

  More than a third of entry-level jobs now require some AI competency. The differentiator is practical fluency: evaluating outputs, automating workflows, analyzing data, and knowing when human judgment must take over.

• What Students Lose When AI Skips the Learning Process

  The value of college and writing is not just the finished output. It is the judgment, growth, and self-correction built by doing the work, capabilities that become more valuable as AI makes polished answers cheap.