I found myself bleary-eyed, wandering through the enormous halls of yet another Las Vegas conference centre, the kind of place where jet lag and over-enthusiastic air conditioning make you question your life choices. It was AWS re:Invent, which always guarantees two things. First, I would survive on bad coffee and the faint hope of fresh air. Second, there would be a flood of announcements delivered with the kind of excitement usually reserved for breakthroughs in medicine or space travel. I have been to enough of these events to know the routine, yet every year I get caught up in the energy, like a wide-eyed kid who hasn’t learned his lesson.
This year, as expected, artificial intelligence was everywhere. Systems that automate tasks, tools for developers, new security features, faster processes, smarter predictions. Everything promises to be quicker, more capable, and somehow more magical than before. There were moments when I joked that even the escalators might start offering architectural advice. It was the usual spectacle, and yet I couldn’t shake a familiar thought. It wasn’t scepticism exactly, more a nagging sense of déjà vu. I have been here before.
For all the talk of dramatic change, one question keeps coming back. What about the vast majority of organisations that do not have the money, the people, or the capacity to implement all of this? It’s easy to be dazzled by demonstrations where an AI agent seems to write code, generate documentation, and deploy secure systems in the time it takes to finish a coffee. But in the real world, most teams are simply trying to keep the lights on while someone struggles to log in or fix a printer.
Technology waves always generate a mythology, and AI is no exception. Phrases like “vibe coding” are whispered with awe, as if developers will soon commune with machines and deliver enterprise-grade software before lunch. The promise is seductive. Even the smallest organisation, operating on sticky notes and a single overworked server, could theoretically compete with the giants. AI will supposedly level the playing field completely. And it would be wonderful if it did.
But the reality is more complicated. Tools alone cannot erase structural advantages built over decades. Large organisations do not just have more money; they have processes, institutional knowledge, and teams trained to extract every ounce of value from a new tool. Small organisations, by contrast, are juggling payroll, HR, marketing, and day-to-day operations, often with limited resources and outdated infrastructure. Expecting AI alone to bridge that gap is optimistic.
It reminds me of the early days of cloud computing. Twenty years ago, I was an early advocate for cloud, convinced it would transform everything. And in many ways, it did. Most organisations today rely on cloud services, often without thinking twice. Yet when you look at productivity, innovation, or the ability for small businesses to compete equally with large ones, the structural advantages remain largely intact. Cloud made tools more accessible, but it did not magically level outcomes. The big players stayed big, and the small ones kept grinding.
So will AI be different? Standing in those Las Vegas halls, surrounded by announcements, I wanted to believe it might. AI feels distinct, more about capability than infrastructure. It is not just about doing things faster; it is about doing them with less expertise, less friction, and potentially less cost. The smallest business might be able to achieve tasks that once required a team of specialists. Perhaps the gap can narrow in ways that cloud alone never managed.
Still, I temper my optimism with experience. Technology tends to over-promise and under-deliver, especially in environments designed to dazzle. AI will automate, assist, and accelerate, but human realities remain. Processes, budgets, priorities, and unpredictability still shape outcomes. A small team with an AI agent can do more than before, but they cannot escape the everyday pressures of running a business.
As I left the conference, the desert sun warming me back to life, I reflected on those early cloud days. I had been convinced the world was on the verge of radical equality in access and opportunity. That vision did not fully materialise. Perhaps AI will change more fundamentally. Perhaps it will finally allow small organisations to innovate and compete on equal footing. Or perhaps, like my search for decent coffee in Vegas, it will leave us navigating a world of promise and spectacle while still doing the hard, practical work every day.
Either way, the lesson feels familiar. Technology offers potential and excitement, but the real measure of change is how it fits into the messy, human work of organisations. AI might be transformative. It might even be revolutionary. But it will always sit alongside the realities of budgets, people, and priorities. And that is where the real challenge, and the real opportunity, lies.
