Sep 26, 2026
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Artificial Intelligence

While many IT leaders claim measurable results from AI, few report gains substantial enough to warrant urgent attention from top-level executives.

ManyPress

ManyPress

ManyPress Editorial

2 min readSource:The Decoder
IT Leaders Report AI Progress, But Few See Significant Business Impact

Key facts

  • •Azeem Azhar surveyed approximately 160 IT vice presidents in Las Vegas regarding AI results.
  • •Two-thirds of the surveyed IT leaders reported measurable AI results.
  • •Only eight of the 160 participants reported results significant enough to interrupt a CEO's vacation.
  • •A Boston Consulting Group survey found 70 percent of CEOs believe AI success impacts their professional perception.
  • •Many companies are moving toward open-weight AI models instead of expensive frontier models.

A recent survey of approximately 160 IT vice presidents revealed that while two-thirds can point to measurable AI results, only a small fraction consider those outcomes significant enough to interrupt their CEO's vacation. Tech entrepreneur Azeem Azhar shared these findings, highlighting a gap between general AI progress and high-impact business value.

By the numbers

160
IT vice presidents surveyed
70%
CEOs who believe AI success impacts their reputation

The Gap Between Progress and Impact

Azhar noted that while the number of IT leaders reporting some form of AI success was higher than he initially expected, the actual business impact remains modest. Even as some companies report growing trust and rising budgets for AI projects, the overall return on investment remains difficult to document at an economy-wide level.

Market Trends and Executive Incentives

Companies are increasingly shifting from expensive frontier models toward open-weight alternatives, a trend that could impact the revenue flow needed to support large-scale data center investments. Furthermore, a Boston Consulting Group survey indicates that 70 percent of CEOs believe AI success is tied to their professional reputation, which may create an incentive to present overly optimistic assessments of AI performance.

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This article was independently rewritten by ManyPress editorial AI from reporting originally published by The Decoder.

Artificial Intelligence