If your business has been putting off AI adoption because it sounds like it needs a data science team you don’t have, the market has quietly solved that problem for you. In 2025, businesses deployed 76% of their AI solutions through third-party vendor tools rather than building custom systems in-house – up from roughly a 50/50 split just a year earlier. For small and mid-sized businesses, buying is now clearly the smarter, faster route into AI.
1. Why the Build-vs-Buy Balance Flipped
Building AI in-house requires specialised talent that is both scarce and expensive – nearly half of tech leaders cite AI skill gaps as a major barrier to implementation, and demand for AI roles has grown almost tenfold in two years. On top of that, six in ten companies admit their own data isn’t clean or organised enough to train a custom model well. Buying a proven tool sidesteps both problems.
2. The Real Cost of Building It Yourself
Beyond salaries, custom AI projects carry hidden costs: ongoing model maintenance, integration with legacy systems (a challenge for roughly six in ten IT leaders), and the risk of spending months on a pilot that never reaches production. Industry-wide, nearly three-quarters of companies still haven’t seen tangible value from their AI initiatives – often because the project was scoped as a build when it should have been a purchase.
3. What to Look for When You Buy
Not every AI vendor tool is worth adopting. Prioritise tools that integrate cleanly with the systems you already run, offer clear data-handling and security terms, include a human-approval step for any automated action, and come from a vendor that will still be supporting the product in two years. A quick procurement and security review before signing up saves far more time than it costs.
4. Small, Specialised Tools Often Beat Big General Ones
One trend worth knowing about before you shop: smaller AI models built for one specific job – drafting invoices, summarising support tickets, screening resumes – are increasingly outperforming large general-purpose AI for that single task, and they typically cost less to run. Don’t assume you need the flashiest, most expensive platform on the market; a focused tool that does one thing well is often the better buy.
5. Getting Started This Month
List two or three repetitive tasks that eat up staff time, look for an established vendor tool built specifically for that task, and run a 30-day trial with one team before rolling it out further. Loop in your IT partner early – vetting a vendor’s security and support before you commit is far cheaper than switching tools later.
As your IT procurement partner, PROFBITS helps you shortlist, vet and roll out the right AI tools for your business – without the guesswork. Reach out and we’ll help you pick your first tool.