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7 fatal mistakes in the corporate transition to AI and the pragmatic path to avoid them.

An executive diagnostic grounded in 2025–2026 market data and real business cases. A strategic read for those defining the next moves in Business AI Strategy for their organization . 
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  • The 7 strategic mistakes stalling 94% of large corporations

  • The 5 pragmatic moves to scale with measurable ROI

  • Real cases and early warning signals for immediate self-diagnosis

THE SCENARIO NO ONE WANTS TO FACE

More has been invested in AI than ever before.  Less has been delivered than ever before.

In 2025, global corporations invested US$ 684 billion in Artificial Intelligence initiatives. By year's end, more than 80% of that capital — approximately US$ 547 billion — had not converted into business value.

The problem is not technology. It is not capital.

It is the absence of a strategic model that connects executive ambition to real execution.

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The question is no longer whether your corporation will invest in AI. The question is with what level of strategic rigor.

ONE EXECUTIVE DIAGNOSTIC. ONE STRATEGIC PATH.

This material was built to support decisions, not to accumulate disconnected insights.

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For Innovation, IT, R&D, and New Business managers and directors who need to deploy AI in critical processes with measurable returns — not accumulate pilots with no ROI. 

Grounded in data and references from: 
MIT NANDA · BCG · RAND Corporation · EY · IBM · S&P Global · NACD · Gartner

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