95% of AI projects fail but Sci-Fi solves AI…….AGAIN

95% of AI projects fail but Sci-Fi solves AI…….AGAIN

A report, The GenAI Divide: State of AI in Business 2025, published by MIT’s NADA initiative, found that 95% of pilots stall at early stages and never progress to scaled adoption. Only 5% of projects achieved rapid revenue growth.

Based on 150 interviews with business leaders, a survey of 350 employees and an analysis of 300 public AI deployments, the study highlights a growing divide between successful AI integrations and those that remain stuck in experimental mode.

This and other surveys have found two key, and unwelcome, trends.

  • The Perpetual Pilot trap, reduces risk but not cost as expensive investment often throws good money after bad, in the hope of finding something that produces a returnhe Perpetual Pilot trap, reduces risk but not cost as expensive investment often throws good money after bad, in the hope of finding something that produces a return
  • Opportunities in isolation, local, cheaper, low risk AI implementations. But which fail to relate to or deliver any Strategic level benefits.

What these identify is a failure to understand how AI can relate to, enhance and even transform your business.

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We should be learning from repeated history…..

Let me take you back to the 1980s. The IBM PC debuted in 1981. I first encountered it in 1986 in BT. The PC had three transformative impacts (well those that come to mind just now):

  • It did away with job roles such as seeing the demise of typing pools
  • new job roles were created and mushroomed such as software development
  • and many roles were transformed, such as managers who changed how they worked

Those however, were the outcomes, as the PC led to transformation of business operating models.

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Modified McKinsey 5 Dimensions of Operations model

  • Strategy changed: E.g. product, IT, procurement, resourcing,   
  • Organisation structure: e.g. new and expanded departments and relationships e.g. IT departments and cross-functional projects
  • People changed: new and changed roles and behaviours, office environments
  • Processes: mostly changed but some new and some gone, office facilities etc.
  • Technology: The IBM PC then networking and and and…….

Some thoughts on AI integration……..or perhaps they are principles

  • AI is a business solution NOT a technology solution
  • Don’t think AI led, think People led
  • Don’t think AI driven…..think AI supported
  • To benefit from AI, think holistically and,
  • Make sure you REALLY understand how your organisation works – think of it as an iceberg - before you try and change it.

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  • Make sure you understand Change Management, and its delivery vehicles, Portfolios of Programmes and Projects. C level folk who do not ‘get’ projects need to wise up VERY quickly, if you want to be in the successful 5% and not the failure 95%.

And a final thought. While you are holistically transforming how your organisation works, consider that AI/Digitisation and Agility have goals and outcomes in common.

  • Goals: Cost reduction and revenue growth
  • Outcomes: Efficiency, adaptability, flexibility, behaviours…….

Agile organisations are more profitable.

P.S. A little reminder about my planned 1 day workshop on what most project management course do not teach……Stranger in a Strange Land - how to make your projects thrive in an unfriendly organisational landscape. Planned for 30th April 2026 in London just after the EVA33 conference. Full details shortly

https://www.garudax.id/pulse/30th-april-workshop-stranger-strange-land-how-help-projects-pyne-wotbe

P.P.S. My book https://practicalinspiration.com/book/agile-beyond-it



The technology is rarely the whole story is it? The human system around it is.

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