The GenAI Divide: Why 95% of AI Fails & How to Be in the 5%

Scan the headlines about MIT’s latest study, “The GenAI Divide: The State of AI in Business 2025,” and you might think AI is failing everywhere. The number repeated in every article is stark: 95% of AI initiatives are “failing” or generating zero return.

That is the bad news. The more important insight is a clear roadmap for the organizations that are winning with AI.

AI Is Dead. Long Live AI.

Most coverage stops at the 95% failure rate. Few mention what the report actually reveals: 5% of AI efforts are already delivering measurable, transformative results. Far from a story of failure, the MIT study quietly outlines the playbook for AI success.

What is the Playbook for AI Success?

We know not everyone has the time to read thirty dense pages of charts and analysis, especially when other business priorities are pressing. In this blog series, we will break down the lessons of the MIT study and combine them with what we have seen in real-world deployments to create a practical and actionable path to AI success.

What We Will Cover

In the coming weeks, we will look at the critical choices that separate the winning 5% from the rest:

  • Specialized vs. Generalized AI
  • Buy vs. Build
  • Unlocking Back-Office ROI
  • Enterprise vs. Midmarket Dynamics
  • Workflow Integration
  • The Rise of Agentic AI

These are the areas where success or failure is determined, and where your organization can make smarter moves.

What Comes Next

This is the first post in our GenAI Divide series. In our next piece, we will examine why specialized AI consistently outperforms generalized approaches and what that means for your business in the next twelve months.

Follow along as we unpack the MIT study’s insights and show how your organization can move from the 95% to the winning 5%.

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