AI Is Now a Margin Race — and SMEs Are Losing
Quick answer
HBR and Deloitte research shows AI has shifted from a productivity experiment to a margin competition. Only 5% of firms see real value at scale. This article explains what that means for UK SMEs and gives three practical steps to start moving the needle.
HBR and Deloitte research shows AI has shifted from a productivity experiment to a margin competition. Only 5% of firms see real value at scale. Here's what that means for UK SMEs.
I've been having the same conversation with UK SME owners all year. They've bought Copilot licences, maybe had a play with ChatGPT, possibly even built a Power Automate flow or two. And then they ask the question that's been keeping them up at night: "Where's the actual return?"
They're not alone. Harvard Business Review published a piece in July 2026 called "AI and the Looming Competition for Margin" that nails what's happening. The AI exuberance in the boardroom has worn off. Now it's about cold, hard numbers.
The prize isn't productivity — it's margin
HBR frames it dead simply. New technologies like AI deliver value in one of three ways:
- Same with less — reduce input costs (fewer hours, fewer headcount, fewer licences).
- More with same — grow outputs using the same resources (more quotes out, more orders processed, faster cycle times).
- New business model — do something that wasn't possible before.
Most SMEs are stuck trying to prove option one. They're counting hours saved on individual tasks and wondering why the P&L hasn't moved.
Here's the reality check. Deloitte's 2026 State of AI in the Enterprise report found that only 5% of companies are achieving AI value at scale. Only 39% report any impact on EBIT at all — and that impact is typically less than 5%.
The days of measuring AI activity rather than AI results are over.
That's not HBR being dramatic. That's what the data says. Companies are spending double on AI in 2026 — nearly 1.7% of total corporate revenues — and most have nothing to show for it on the bottom line.
Why SMEs are particularly exposed
Here's what keeps me up at night on behalf of my clients. When the bigger players figure out their AI margin play — when they genuinely start running "same with less" — they'll drop their prices or raise their service levels. SMEs operating on thinner margins will get squeezed from both ends.
The window to catch up isn't closing in five years. It's closing now. LaSalle Network's mid-2026 research found that 42% of leaders feel strategically ready for AI, but only 20% feel operationally ready. That gap between strategy and execution is where SMEs either win or get left behind.
I've seen it dozens of times. The data's a mess, the ERP reports don't reconcile, and someone's bolted a Copilot licence on top. That's not a margin strategy. That's a tax.
Three things to actually do
If you're an SME owner or ops director reading this, here's where I'd start:
- Pick one painful, repeatable process. Not five. One. Invoice processing, sales order entry, stock reconciliation — something where hours disappear every week. Map it, measure the current cost, and target it specifically.
- Sort the data underneath first. I know I sound like a broken record, but if the data feeding your AI is wrong, you're just automating bad decisions faster. Get your master data clean and consistent before layering anything on top.
- Measure in pounds, not hours. "Saved 4 hours a week" is not a business case. "Reduced month-end close by 2 days, freeing £12k of working capital" is. Tie every AI initiative to a number the CFO cares about.
The companies getting this right aren't the ones with the biggest AI budgets. They're the ones who picked their battles, fixed their foundations, and measured results like adults.
The margin race has started. The question is whether you're in it or still watching from the sidelines.
References & Further Reading
- Harvard Business Review, AI and the Looming Competition for Margin (July 2026)
- Deloitte, 2026 State of AI in the Enterprise Report
- LaSalle Network, Executive Brief: The Mid-Year AI Reality Check (July 2026)
- McKinsey, The State of AI (2026)
Worried you're falling behind?
I help UK SMEs cut through the AI noise and find the two or three things that'll actually move the needle. No buzzwords, no vanity dashboards — just practical steps tied to real money.
Let's have a chatMatty Hatton is the founder of Digital Adaption, an ERP and data consultancy based on the Wirral. He has spent 15 years delivering ERP transformations for manufacturers, including leading the data migration on a £4.5m consolidation of four legacy systems onto a single Infor LN cloud instance for a 220-user group. He holds an MSc in Digital Transformation and IT Strategy from Manchester Metropolitan University and is Microsoft PL-200 certified.
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