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Key Takeaways AI has made building software dramatically easier, but the harder question is now “should we build it?”
Building software comes with ongoing risks and costs — reliability, maintenance, security and the responsibility for failures that vendors would otherwise handle.
Experiment and build for the things that are low-stakes and safely contained inside your own walls. The companies that get this right are the ones that encourage internal innovation within safe guardrails.
I’ve had conversations with so many people who have built software in the past year, and I’m not just talking about engineers. I’m talking about people across a variety of professions and walks of life, many of them with no formal engineering experience beyond their own curiosity and experimentation.
A few years ago, that would have been unthinkable. But AI has completely changed what’s possible and who it’s possible for. If I could sum up the change in one distinct sentence, it’d be this: AI has collapsed the distance between idea and execution.
When it comes to everyday people vibe-coding a fun app into existence, this is a truly exciting development. But it’s also forced us to re-interrogate one of the most central questions at the heart of business technology: Should we build it, or should we buy it?
That question is one of the many things that AI has changed forever.
The build vs. buy conversation, then vs. now
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