REPORT

Where will your Gen AI initiatives stall?

New Hackett data reveals which Gen AI concerns predict failure and which have no correlation with outcomes.

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Most AI concerns don't actually block scaling

Enterprises cite the same obstacles, but some push through while others stall—what's the difference?

  • 91% cite process complexity as a major concern

  • 79% worried about data privacy and security risks

  • 73% struggle to measure AI's value and impact

What you'll learn from this research report

Hackett surveyed enterprise leaders to find out which concerns matter and which ones don't

Three obstacles that actually stop AI scaling

Process complexity, lack of AI talent strategy, and inability to measure value—these three need your attention first.

How J&J, MTN, Bosch, and Roche systematically scale

Case studies showing how Innovation Award winners use the Agentic Enterprise Framework to address concerns and deliver ROI.

Performance gains from enterprises scaling AI today

76% report 25%+ customer experience improvements. 80% see similar productivity gains. Here's what they're actually doing.

Where enterprises are scaling AI right now

Over half are actively scaling AI initiatives despite persistent concerns about risk.

54% are scaling customer experience initiatives
69% are scaling employee productivity initiatives
50% are scaling risk management and compliance AI

Get the 2026 Enterprise Gen AI Key Issues Study

 Download the concerns matrix and Agentic Enterprise Framework from Hackett Group.

Download now