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Artificial Intellegence

HomeArtificial Intellegence

If you've been in any boardroom discussion about AI over the past eighteen months, you've likely heard the same debate playing out repeatedly. Should we build our own models or buy off-the-shelf solutions? It's a question that's consumed countless strategy sessions, burned through consultant fees, and kept CTOs awake at night. Here's the thing, though. The market has already answered this question, and the answer might surprise you. In 2024, enterprises were split roughly 50/50 between building their own AI solutions and purchasing them from vendors. Fast forward to 2025, and that balance has shifted dramatically. Now, 76% of AI solutions are being purchased rather than built in-house. That's not a trend, that's a seismic shift in how businesses approach artificial intelligence. The Case for Building (Historical Context) To understand where we are, we need to understand where we've been. The appeal of

If you've been in business for more than a few years, you've probably noticed something. The tools we use keep getting smarter, but somehow the work keeps piling up. Your team might be using AI to write emails faster, generate reports more quickly, or summarise lengthy documents. These are useful things, no question about it. But here's what's interesting: whilst individual productivity has gone up, many organisations still struggle with the same fundamental problems. Projects still get stuck between departments. Information still lives in silos. The gap between having a good idea and actually delivering it to customers remains frustratingly wide. The reason is fairly straightforward. We've been treating AI like a better version of our existing productivity software, something that helps individuals work faster. That made sense as a starting point, but the real transformation happening now is different. AI

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