78% of businesses are using AI. Most of them have nothing to show for it

The Hidden Reason AI Initiatives Stall

78% of businesses are using AI.

Most of them have nothing to show for it.

Adoption is not the same as impact. The gap between the two is where most organisations are stuck right now.

“78% of organisations now use AI in at least one business function.” – McKinsey, 2025

The number sounds like progress. In most cases, it isn’t.

What it means is that 78% of organisations have installed something. A tool, a pilot, a proof of concept. Some have an AI strategy slide in their board pack. Some have run a workshop. A smaller number have deployed a system that actually touches their operations.

The gap between those last two groups is not a technology gap. It’s a structure gap.

“Only 48% of AI projects make it into production. The average time from prototype to production: 8 months.” – S&P Global Market Intelligence, 2025

So what’s going wrong with the other 52%?

In most cases: the data isn’t ready. The systems don’t connect. The workflow the AI was built to support was already broken before the AI arrived. And the organisation moves on to the next pilot without fixing any of it.

Gartner is direct about this: through 2026, organisations are abandoning 60% of AI projects that lack AI-ready data. The technology is not the problem. The infrastructure underneath it is.

What AI-ready actually looks like:

• Systems that are connected, not running as parallel silos
• Data that is governed and consistent, not manually reconciled
• Workflows that are mapped and structured before automation is applied
• A defined outcome before the first line of code is written

This is the work most organisations skip. They buy the tool first and build the foundation second, if at all. Which is why the demos look good and the production deployments quietly disappear.

At 9H, we start with the infrastructure. Not because it’s more interesting, because it’s the only thing that makes the AI part work.

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