AI is transforming the technology market at extraordinary speed. For businesses, the opportunity is enormous. AI can automate processes, improve decision-making, accelerate software development and create entirely new products and services.
But for CEOs and technology leaders trying to turn that opportunity into something practical, there is a growing problem.
Who do you actually work with?
Everyone sounds remarkably similar
The technology services market was already crowded. Now established software companies, consultancies, data specialists and cloud providers are all building AI capabilities, alongside a new generation of AI-native businesses.
Almost everyone now does AI. Or at least, almost everyone says they do.
Look across the market and the terminology quickly becomes familiar: Generative AI, AI agents, LLMs, automation, machine learning, RAG, AI strategy and AI transformation.
The problem isn't finding companies that claim to have AI capability. The problem is working out which ones genuinely have the right capability for what you're trying to achieve.
AI isn't one thing. You might need AI strategy and education, use-case discovery, data engineering, architecture, AI development, agentic automation, cloud infrastructure, security, governance, integration or ongoing support.
So asking “Does this company do AI?” doesn't tell you very much. The better question is: “Is this the right technology partner for what we actually need AI to achieve?”
Capability is only part of the decision
Two companies can look remarkably similar on paper and be completely different organisations to work with.
Technical expertise matters, but so do industry experience, working culture, commercial flexibility, scalability, security, financial stability and the ability to work effectively with your existing team.
A technically excellent AI company can still be completely wrong for your organisation. And the company with the best AI sales presentation isn't necessarily the company best equipped to deliver.
Partner fit matters.
AI is changing technology outsourcing too
AI isn't simply creating a new market for AI services. It is changing the existing technology services market.
AI coding tools and increasingly agentic development platforms are allowing software teams to produce more with fewer resources. As a result, the traditional outsourcing question, “How many developers can you provide?”, is becoming less important.
Increasingly, the questions are: What expertise do you bring? What problems can you solve? What industry knowledge do you have? Can you integrate AI into our existing technology? Can you manage the security, governance and operational implications?
As some aspects of technology delivery become more commoditised, genuine expertise and partner fit become more valuable, not less.
The hidden cost of too much choice
Faced with a crowded market, businesses can spend weeks researching suppliers, sitting through introductory calls, reviewing credentials and comparing proposals.
For major procurements that may be necessary. For many organisations, it is simply a huge investment of management time before any work has begun.
More choice doesn't necessarily produce a better decision. Sometimes it simply creates more noise.
Start with the requirement
Rather than starting with “Which AI companies should we talk to?”, start with “What are we actually trying to achieve?”
Once the requirement is understood, the objective isn't to find twenty companies that could do the work. It is to identify the two or three that are most likely to be right for you.
That's where curation becomes valuable.
At The Sourcing Hub, we have spent more than 25 years working within the technology services and outsourcing market and have built a trusted network of 35+ specialist European technology companies spanning AI, software, data and cloud.
We assess companies before they join our network, looking beyond technical skills to their industry experience, culture, commercial models, scalability, stability, security and delivery experience.
So when a client comes to us with an AI requirement, we don't start searching the market. We understand what they're trying to achieve and match that requirement against companies within a network we already know.
AI first. Technology always.
AI projects rarely exist in isolation. Behind the AI may sit data, cloud infrastructure, existing software, cybersecurity, integration, regulatory requirements and ongoing support.
That's why businesses don't necessarily need to find an “AI company”. They need to find the right technology partner for what AI needs to achieve within their business.
As the AI market becomes larger and more congested, the value of being able to filter that market intelligently will only increase.
Because finding an AI company is easy. Finding the right one is becoming harder.