One of the biggest misconceptions people have about companies like Google is that they win because they build better technology. Having worked there, I understand why that belief exists. The products are exceptional, the engineering talent is extraordinary, and there is an almost obsessive focus on solving difficult technical problems. From the outside, it is easy to conclude that superior technology naturally leads to superior business outcomes.
I believed that too.
When I first started working with enterprise customers, I approached every conversation with the quiet confidence of someone who thought the product would do most of the persuasion. If we could demonstrate that our infrastructure was more reliable, our security stronger, our performance faster and our economics more compelling, then surely the customer would arrive at the same conclusion we had. Business, after all, seemed like a rational exercise. Better products should win.
Reality turned out to be considerably more complicated.
Some of the most surprising deals I witnessed were not the ones we won. They were the ones we lost. Occasionally, we would lose to companies whose technology was objectively weaker. Sometimes customers renewed contracts with vendors they openly admitted they were unhappy with. In a few cases, organisations knowingly chose solutions that were more expensive, less capable and harder to implement than the alternatives sitting in front of them.
For a long time, I interpreted those decisions as evidence that customers were irrational. It was a comforting explanation because it allowed me to preserve my worldview. If the customer was making poor decisions, then there was nothing fundamentally wrong with the way I understood business.
It took me years to recognise that the irrational person in those meetings was often me.
The mistake I was making was assuming that customers were buying software. In reality, software was only one component of a much larger decision. What they were really buying was confidence.
A Chief Information Officer making a multi-million-dollar technology decision is rarely optimising for product specifications alone. They are making a career decision. If the implementation fails, it is their credibility that suffers. If the vendor disappears after signing the contract, it is their team that has to explain the consequences. If the technology works brilliantly but nobody inside the organisation adopts it, the technical superiority becomes irrelevant.
Once you appreciate that context, many decisions that appear irrational suddenly become entirely logical.
Trust is not a feature that appears on a product comparison sheet, yet it influences almost every purchasing decision. A reputation built over years can outweigh a marginal technical advantage. A leadership team that communicates honestly during difficult moments can become more valuable than another product release. A partner who consistently demonstrates sound judgement often creates more long-term value than a vendor promising revolutionary innovation every six months.
Looking back, I realise that Google never taught me that technology wins. It taught me something much more subtle. Technology expands what is possible, but trust determines what gets adopted.
That lesson has become even more relevant over the past two years as artificial intelligence has entered every boardroom conversation.
Much of the discussion around AI has centred on intelligence. Which model performs better? Which system writes more accurate code? Which assistant produces the best research? These are important questions, but I increasingly suspect they are not the questions that will determine which organisations succeed over the next decade.
History suggests that when a capability becomes abundant, its strategic value changes.
Electricity was once a competitive advantage; today it is infrastructure. Access to information once differentiated organisations; today it is assumed. Cloud computing transformed industries, but no serious business claims differentiation simply because it runs workloads in the cloud.
Artificial intelligence is likely to follow the same path. The ability to generate competent analysis, draft presentations, summarise research or write software is rapidly becoming accessible to everyone. That is an extraordinary technological achievement, but it also means that intelligence itself is becoming less scarce.
Scarcity has a habit of moving.
As machine intelligence becomes cheaper, qualities that cannot be manufactured on demand become disproportionately valuable. Judgement, taste, credibility and trust have always mattered, but they are likely to matter even more in a world where competent output is available to everyone at negligible cost.
This is why I sometimes worry that organisations are investing heavily in accelerating work while spending comparatively little time improving the quality of the decisions being accelerated. Speed has undeniable value, but speed is not an objective in itself. Executing the wrong strategy twice as fast rarely produces a better outcome. More often, it simply allows an organisation to make expensive mistakes with greater efficiency.
The conversations that matter inside leadership teams are therefore beginning to change. The differentiating question is no longer whether your employees can produce a strategy document or analyse a market opportunity. Increasingly, AI can help almost everyone accomplish those tasks. The more difficult question is whether the people leading those organisations possess the judgement to recognise which opportunities deserve attention in the first place.
That distinction may seem subtle, but I believe it will define the next decade of management.
The most enduring lesson I carried away from Google was never about algorithms, infrastructure or scale. It was an appreciation that businesses are built on confidence long before they are built on code. Technology undoubtedly creates possibilities. Trust determines whether those possibilities become reality.
As AI continues to reshape knowledge work, I find myself returning to that lesson more often than ever. We are entering an era in which intelligence is becoming increasingly commoditised. The organisations that thrive will not simply be those with access to the most sophisticated models. They will be the ones that combine those models with sound judgement, credibility earned over time and leaders whom people are willing to trust when the answers are not obvious.
Technology changes remarkably quickly. Human confidence does not. That, more than any technical breakthrough, may prove to be the real competitive advantage of the AI era.