Part of our guide: AI strategy
In 2010, Blockbuster had 9,000 stores, $6 billion (roughly £3.9 billion) in revenue and a brand that everyone recognised, and by 2013 the business was gone. The end came from an operating model that could not adapt to a structural shift in how their industry worked, and not from any failure of talent or finances.
AI is that kind of shift, and it matters for reasons that have nothing to do with the technology looking flashy or with the press saying so. It matters because it is changing what it costs to do work and therefore what businesses need to look like.
This isn't about technology. It's about operating models.
A competitor that serves the same customers with 40% fewer manual processes, responds to regulatory change in days rather than weeks and personalises their service at a fraction of the cost does not need to be better than you. That competitor only needs to be cheaper, faster and more consistent, and AI makes that possible for mid-market businesses in a way it was not five years ago.
The question that matters is what the business needs to look like in three years and what role AI plays in getting there, not whether to use AI.
Where mid-market CEOs get stuck
Most of the CEOs we speak to are not sceptical about AI and are instead stuck between three uncomfortable truths.
First, they know they need to act, and the board is asking, the PE sponsor is asking and the competitors are moving. BDO's 2026 mid-market survey found 42% of UK mid-market firms now cite AI and productivity as their primary growth route. Second, they do not know where to start, and vendors offering tools, platforms and "AI solutions," are in no short supply. Nobody is helping them answer the prior question of where AI actually matters for this business. Third, they are worried about getting it wrong, and in regulated sectors (insurance, financial services, legal and professional services) getting AI wrong does more than waste money. It creates regulatory risk, reputational damage and operational fragility, and the cost of a failed AI project runs beyond the budget to the organisational confidence to try again.
What "doing AI" actually means for a mid-market business is not buying a platform, hiring a data scientist or giving everyone access to ChatGPT and hoping for the best.
It means understanding your business capabilities (the things your organisation does to create value) and then establishing where AI technologies can materially improve, automate or redesign them. Some of the answers will be obvious (document processing, data extraction and customer triage) and some will be surprising (pricing models, risk assessment and workforce planning).
The starting point is always the same, taking a structured look at what your business does and scoring it against where AI creates a real uplift. The score follows the places where the business case is real, not the places where a vendor wants to sell you something.
The "Blockbuster test" for your business
The Blockbuster test comes down to three questions, one about cost exposure, one about service exposure and one about structural exposure.
The first question is whether a competitor could deliver your core service at meaningfully lower cost, using AI to automate what you currently do with people and spreadsheets. If the answer is yes, that is your cost exposure.
The second question is whether parts of your customer experience are slow, inconsistent or manual in ways that a competitor could make instant, consistent and automated. If the answer is yes, that is your service exposure.
The third question is whether your operating model is designed for how business was done five years ago rather than how it will be done in three years. If the answer is yes, that is your structural exposure.
If you answered yes to any of those, the issue is not an AI problem and is a business model question that AI is part of the answer to.
The businesses that get this right start with strategy rather than technology.
They map their business capabilities and score each one against AI opportunity, working from data about their actual processes, costs and pain points rather than from theory. They produce a roadmap that the leadership team (not just the IT team) can stand behind, and they start with a focused pilot that proves value before scaling.
This is not a twelve-month programme, and the first phase (understanding where AI matters and building a prioritised plan) takes days rather than months. The businesses moving fastest are the ones that invested a week in getting the strategy right before spending a penny on technology.
The cost of waiting
The World Economic Forum research is clear that AI can help mid-market companies scale "much faster" than traditional approaches, and the advantage goes to early movers. That advantage comes from the way organisational learning compounds rather than from any expectation that the technology will be different in two years. The businesses that start now will have built the muscle memory, the governance frameworks and the operating model changes that make them structurally faster and more efficient.
The businesses that wait will find themselves trying to catch up against competitors who have already embedded AI into how they operate. That is the Blockbuster position, where the business is late rather than wrong.
A practical first step
If you are the CEO or MD of a mid-market business and you are not sure where to start, the answer is not a data scientist or a platform. The answer is to invest a few days in understanding where AI actually matters for your business.
A structured discovery sprint maps capabilities, scores opportunities and builds a roadmap, giving you the clarity to make real decisions. What you get is a plan your leadership team can execute (not a slide deck).
That is our work at Oxygen Bubbles, where the Breathe engagement takes 5-10 working days and produces a capability-scored AI roadmap, a scored opportunity matrix and a costed, board-ready summary of what to do first. There are no tools to buy and no lock-in, and what you get is clarity about what your business needs to do next.
If you are not sure whether your business model is AI-ready, that is the question the Breathe engagement is built to answer. Get in touch to talk it through.