
95% of AI Projects Fail. But the Problem Is Not AI
26/08/2025
Did you know that 95% of companies fail when implementing artificial intelligence?
Not because the technology doesn't work, nor because there is a lack of resources or talent.
They fail because they continue to operate as if AI were just another “technological project”… instead of a complete redesign of the organizational model.
This is what the article from Fortune reveals, based on the report “The Generative AI Divide” from the MIT Sloan Management Review and the Boston Consulting Group.
And yes, there is a word that defines this gap: fracture.
The GenAI Divide: a silent fracture that will shape the future of organizations
Today, companies are divided into two worlds:
1. Those who run pilots with AI
…but without a clear direction, without strategic impact, and who quickly get frustrated. Those who use ChatGPT to “test” something but without changing anything in their structure.
2. Those who redesign their operations with AI
…those who understand that AI is not just another tool, but rather a transformative force that requires adapted processes, culture, and leadership.
This chasm between the two is called the GenAI Divide, and it is the new frontier of business competitiveness.
The failure is not due to AI. It is due to the lack of integration.
The study is clear: failure occurs when AI is not integrated into daily operations or key processes.
“The problem is not the tool, but that the organization does not know how to use it. The structures, decisions, and workflows are still designed for a world without AI.”
— MIT Sloan Management Review
The most common mistakes companies make:
- They use AI for isolated tasks or experiments without continuity.
- They adopt it without reviewing their internal flows, roles, or decision-making processes.
- They do not train or align talent for a new mental model.
AI-First: a roadmap to close the gap
From our perspective, the solution is not to keep doing tests.
It is to adopt an AI-First mindset.
That is, to rethink the entire organization from the logic of augmented intelligence.
This implies a clear roadmap:
- Strategic awareness: understand what changes with AI and what risks it poses not to adapt.
- Participatory operational diagnosis: analyze processes, flows, times, and roles with AI criteria.
- Intelligent reengineering: redesign administrative, repetitive, or high-cognitive-load activities.
- Useful automation: start where AI generates real and quick savings (internal processes, customer service, reports, etc.).
- Continuous training: train staff not to use AI… but to work with AI.
AI will not replace companies.
But it will replace those that do not reinvent themselves.
Leaders who still see AI as just a trend or another plugin for their teams are at real risk.
This is not a technological change.
This is a change in operational, organizational, and leadership model.
And you, have you already started your AI-First journey?
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Together we can chart the path for AI to be your ally, not your threat.