Most AI projects fail. The MIT report says 95% collapse before showing results. But a small 5% succeed and they follow the same disciplined playbook: strategy-first adoption, integration into workflows, clean data, people training, measurable outcomes, and human oversight. Here’s how your business can join the 5% club.

When MIT publishes a study saying only 5% of companies succeed with AI, the headlines scream: “AI is failing.” That’s not the truth. AI isn’t failing. Businesses are. The problem isn’t the technology. It’s how companies try, and fail, to incorporate AI into operations. In its 2025 report The GenAI Divide: State of AI in Business, MIT found that 95% of companies adopting AI fail to see measurable impact on revenue. That’s a staggering gap.

Too many confuse automation with software. But automation isn’t the tool, it’s the logic behind it. The real value of automation isn’t in having five apps that sync with your calendar. It’s in making your business work the way it says it does. That’s the difference between a website that just says who you are and one that actually does what you do. That’s the core of digital transformation. A digitalized business isn’t one that uses tech. It’s one that can also deliver its v

AI is everywhere, or so it seems. Every SaaS platform has launched a copilot. Every pitch deck includes a slide about machine learning. And yet, most companies that deploy AI aren’t seeing meaningful returns. According to McKinsey, while nearly 80% of businesses have implemented some form of generative AI, a similar number report almost no measurable impact on earnings. This is called the "GenAI paradox": massive adoption, minimal effect. Conclusion? AI isn’t the problem. The

Spend five minutes on LinkedIn, and you’ll see endless arguments about politics, social issues, and corporate debates. Everyone seems...