I recently had the opportunity to join the Founder Wisdom podcast to talk about artificial intelligence, software development, and where both are headed over the next several years. While we covered everything from the economics of AI to the future of software engineering, I noticed that nearly every topic came back to the same idea: AI is changing how we build software, but it isn’t changing the fundamentals of what makes software successful.
One of the biggest misconceptions I see is the idea that AI can replace software engineering outright. Modern coding tools are genuinely impressive. They can scaffold applications, generate components, and help experienced developers move dramatically faster than they could even a few years ago. What they can’t do is own the architectural decisions that determine whether an application is secure, maintainable, scalable, and resilient. Those responsibilities don’t disappear just because code is easier to generate. If anything, they become more important because organizations can now build software faster than they can think through the consequences of building it.
That distinction also changes what it means to be a great engineer. For years, developers differentiated themselves by how much syntax they could remember or how quickly they could implement a feature. Increasingly, those aren’t the skills that matter most. The engineers who will thrive over the next decade will understand architecture, testing strategies, security, integration patterns, and how technology solves business problems. AI is becoming a multiplier for those skills, not a replacement for them.
We also talked about what feels like the inevitable market correction coming for AI. The excitement today reminds me of the early internet boom. There is incredible innovation happening, but many companies are still operating without fully feeling the cost of the technology they’re consuming. As AI pricing matures and businesses begin paying the true cost of large-scale model usage, I expect we’ll see a shift away from adding AI to everything and toward applying it where it delivers measurable business value. That’s not a failure of AI. It’s a sign that the technology is growing up.
That idea has influenced how we’re thinking about Hello World as well. We’ll continue building custom software, integrations, and data platforms because organizations will always need those capabilities. Increasingly, though, we’re finding that our greatest value comes earlier in the process by helping clients decide what they should build, what they shouldn’t, and where AI can actually improve their business instead of simply making for a good demo. That’s one of the reasons we’re investing more heavily in strategic consulting and fractional CTO services alongside our traditional development work.
If there’s one takeaway from the conversation, it’s that the organizations that benefit most from AI won’t necessarily be the ones adopting it the fastest. They’ll be the ones that understand their own business well enough to apply it deliberately. The technology is moving at an incredible pace, but good strategy has never gone out of style.
If you’re interested in the full conversation, you can watch my interview on Founder Wisdom here:
You can view more Founder Wisdom here: https://founderwisdompodcast.com/
