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Agentic AI: What Leaders Wish They Knew Sooner

Nobody talking about this: most AI leaders admit agents aren't matching the hype—and neither are their teams.

Reporting by MIT Sloan Management Review 1 min brief
Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As agentic AI moves from pilot to production, a gap is widening between vendor promises and deployment reality. Leaders at MIT Sloan reveal the organizational and technical readiness challenges that matter most in 2026.

The key facts

8 to know

  1. MIT Sloan CIO Symposium 2026 expert roundtable on agentic AI

  2. Focus on promise-vs-reality gap in agent workflows

  3. Organizational readiness (human factors) emerging as critical blocker alongside technical maturity

  4. Leaders identifying lessons learned in early agent deployments across industries

  5. MIT Sloan CIO Symposium 2026 featured technology and business leaders discussing agentic AI deployment

  6. Key theme: gap between agentic AI promise and operational reality

  7. Focus on human-readiness alongside technical readiness for agent workflows

  8. Practical lessons from leaders deploying agents in actual workflows (not pilots)

Go to the source

MIT Sloan Management Reviewsloanreview.mit.edu

Publisher excerpt: As AI agents go beyond the hypothetical and enter actual workflows, many leaders see a gap between the promise and the reality. Are the agents ready? Moreover, are the humans? At the 2026 MIT Sloan CIO Symposium, we sought expert perspective and advice. We asked technology and business leaders,…
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