Half of Campus Tech Leaders Question AI’s ROI

Half of Campus Tech Leaders Question AI’s ROI

Inside Higher Ed – Learning Innovation (column)
Inside Higher Ed – Learning Innovation (column)May 12, 2026

Key Takeaways

  • 29% of CTOs say AI ROI meets or exceeds expectations.
  • 41% worry about falling behind peers in AI by 2030.
  • 55% cite employee productivity as top AI value, only 23% cite teaching.
  • 62% fear inability to recruit/retain IT talent by 2030.
  • 59% list cybersecurity breach as a top 2030 concern.

Pulse Analysis

Higher‑education institutions are pouring money into generative, predictive and agentic AI tools, spurred by vendor partnerships and the promise of preparing students for an AI‑infused job market. Yet the new survey shows that enthusiasm outpaces measurable returns: just 29% of chief technology officers report meeting ROI expectations, and half remain unsure of the financial payoff. This gap reflects a broader industry trend where AI purchases often precede clear problem definition, leading to “solution‑first” spending that can strain already tight budgets.

The data also highlights where AI is delivering tangible value on campus. Over half of CTOs (55%) point to employee productivity gains—automation of routine IT tasks, faster service desks, and streamlined operations—as the primary benefit, while only 23% see meaningful improvements in teaching and learning. Simultaneously, respondents flag critical resource constraints: 62% fear they won’t attract or retain qualified IT talent by 2030, and 59% rank a major cybersecurity breach among their top concerns. Recent high‑profile attacks, such as the Canvas ransomware incident affecting millions of users, underscore the heightened risk profile as AI tools expand the attack surface.

For university leaders, the survey signals a need to shift from hype‑driven adoption to disciplined, outcome‑focused strategies. Defining specific institutional challenges before selecting AI solutions, establishing robust ROI and return‑on‑value frameworks, and investing in skilled staff and cybersecurity safeguards are essential steps. As AI becomes a permanent fixture in higher‑education tech stacks, campuses that align investments with clear goals and resource planning will be better positioned to reap sustainable benefits and avoid costly missteps.

Half of Campus Tech Leaders Question AI’s ROI

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