The State of AI in 2026: Everyone Has Adopted It, Few Have Scaled It

Everybody bought the shovel. That is the honest summary of the last two years of AI at work — a gold rush, tools that got cheap and frighteningly good overnight, every company on earth grabbing one. The digging, the part where it turns into money, barely started. Here are the questions people keep putting to me about where AI actually stands right now, answered straight.

How many businesses are actually using AI in 2026?

Almost all of them. A McKinsey report has 88% of organisations running AI somewhere in the business, and 79% using generative AI specifically. What gets me is the speed of it. That 79% was 65% at the start of 2024, and about a third the year before. We skipped the cautious pilot phase entirely and went straight to why-haven’t-we-got-this-everywhere.

Is all that AI actually making companies money?

Mostly, no — not yet. Only around 7% of companies have scaled generative AI across the whole business, and fewer than one in five say it lifted revenue by more than 5%. Everyone owns a shovel; almost nobody has struck anything. I have sat in rooms where a leadership team is genuinely proud they “have AI now,” asked what it changed, and watched the pause land. That pause is the whole problem.

Why do so few companies get real value from AI?

Because the tool gets bolted onto how the company already works instead of changing how it works. A chatbot on the site. A copilot squatting in three people’s inboxes. Grand on their own, but they don’t talk to each other, and a drawer full of clever gadgets is not a machine. A system is. It is the same wall people smack into with agentic AI and automation, only there the falls cost more.

What do the companies that actually win with AI do differently?

They treat it as a decision about how the business runs, not a line on the software invoice. Find the one or two places it genuinely earns its keep, rebuild that bit of the process around it, then go back and check the number actually moved — the step everyone skips. Owning a tool versus running a system: that is the whole game, and it is how we come at AI consultation and AI automation. It is also, funnily enough, why the smaller firms are catching the big ones so fast — a story for how SMEs are actually using AI to grow.

So no, AI is not overhyped and it is not a bubble. Owning the shovel was just never the hard part. Those figures — 88% adopting, 7% scaling, under a fifth seeing real revenue — are not a story about technology. They are a story about follow-through. Source: McKinsey — The State of AI.