Thursday, 18 June 2026
London Tech Week 2026 made one thing very clear: AI is no longer a future-facing technology theme. It is now a boardroom issue, an investment issue and, increasingly, an M&A issue.
For larger corporates, the discussion is about infrastructure, global competitiveness, sovereign capability and enterprise-wide transformation. Equally, for growing businesses, the implications are just as important and in many cases more immediate.
At Bluebox, we spend much of our time speaking with founders, entrepreneurs and shareholders. Many are asking the same questions: what does AI mean for valuation? Are buyers genuinely paying more for AI-enabled businesses? How should we position our company if we are considering investment, succession or exit?
London Tech Week offered a useful lens through which to answer those questions.
One of the strongest messages from the week was that AI is no longer being discussed purely as innovation theatre. The conversation has shifted from “what could AI do?” to “what is AI already doing?”
For UK businesses, this distinction matters.
Buyers and investors are becoming more sophisticated. Simply saying that a business “uses AI” will not be enough to support a stronger valuation. What matters is whether AI is creating measurable commercial impact.
That might mean:
In an M&A process, AI needs to be connected to the equity story. A buyer will want to understand not only that AI is being used, but how it improves the quality, resilience and future growth of the business.
A major theme at London Tech Week was the scale of investment going into AI infrastructure, compute, cloud, chips and data capability. Much of this is discussed at a national or enterprise level, but UK businesses should not see it as remote or irrelevant.
Large-scale infrastructure investment tends to create activity further down the value chain.
As corporates invest in AI capability, they will need specialist providers, implementation partners, vertical software businesses, data platforms, cyber expertise and automation tools. Many of those capabilities sit in growing, founder-led businesses.
This creates a clear opportunity for well-positioned companies. Businesses that can help larger organisations adopt, deploy, govern or secure AI may become more attractive acquisition targets.
That does not only apply to pure AI companies. It also applies to tech-enabled services, software businesses, consultancies, data-led companies and specialist operators in regulated sectors.
The risk for business owners is assuming that the market will reward anything with an AI label attached to it.
It will not.
In fact, the opposite may be true. As AI becomes more common, buyers will become more selective. They will distinguish between companies that have genuinely embedded AI into their model and companies that are using AI as a marketing overlay.
From an M&A perspective, the strongest businesses will be able to evidence:
For businesses considering a transaction in the next 12 to 36 months, this is important preparation work. A credible AI story needs to be built before a process starts, not invented during one.
One of the practical implications for M&A is that diligence is likely to become more technical, even for businesses that do not see themselves as technology companies.
Buyers will increasingly ask questions such as:
These questions will matter because AI can create value, but it can also create risk. From a buyer’s perspective, both need to be understood.
For founders and shareholders, the lesson is simple: prepare early. The better a business can explain and evidence its AI position, the more confidently it can defend value in a transaction.
Although much of the London Tech Week conversation focused on government policy and large corporate investment, growing businesses should not underestimate their own advantage.
Smaller, founder-led companies are often faster-moving than large organisations. They can adopt new tools quickly, make decisions with less bureaucracy and embed AI into workflows without the same level of institutional resistance.
That agility can be valuable.
A well-run business that uses AI to improve productivity, customer experience or scalability may become more attractive to both trade buyers and private equity investors. In some cases, AI may help a business professionalise faster, build stronger reporting, reduce dependency on key individuals and create a more repeatable operating model.
Those factors are highly relevant to valuation.
For those thinking about growth, succession, investment or exit, London Tech Week 2026 reinforced three key points.
First, AI is now part of the valuation conversation. Even where it is not the central reason for a deal, buyers will want to understand how a business is responding to technological change.
Second, the market will reward evidence over enthusiasm. The strongest AI stories will be those linked to revenue growth, margin improvement, customer retention, scalability or defensible intellectual property.
Third, preparation matters. Businesses that can clearly articulate their AI strategy, data position, operational impact and future opportunity will be better placed when speaking to investors or acquirers.
At Bluebox, we believe the AI opportunity for UK businesses is significant, but it needs to be treated commercially.
The question is not simply, “Are we using AI?”
The better question is, “How does AI make this business more valuable, more scalable or more attractive to a buyer?”
For some companies, AI will be central to the investment case. For others, it will be one part of a broader story around efficiency, differentiation and growth. Either way, it needs to be understood, evidenced and positioned properly.
London Tech Week 2026 showed that the UK technology ecosystem remains ambitious, well-connected and strategically important. The opportunity now is to translate that momentum into practical value creation.
For owners considering their next chapter, the message is clear: AI can strengthen the equity story, but only when it is linked to real commercial outcomes.
The businesses that will stand out are not those that talk most loudly about AI.
They are the ones that can prove what it changes.