Every generation experiences at least one technological shift that fundamentally changes the economics of business. Steam power transformed manufacturing. Electricity reorganised industry. The internet rewrote the rules of distribution. Smartphones placed a computer in every pocket, permanently changing how consumers behaved.
Artificial intelligence belongs in that category.
What makes it different, however, is not simply the speed of adoption. It is the fact that AI is commoditising something we have historically treated as the ultimate competitive advantage: intelligence itself.
That statement sounds almost absurd when you first hear it. Intelligence has always been celebrated. Schools reward it. Companies compete to hire it. Investors back founders because they appear exceptionally intelligent. Entire industries have been built around giving organisations access to specialised expertise they did not possess internally.
For decades, intelligence has functioned like a scarce economic resource. If you wanted high-quality legal advice, strategic thinking, market research or software development, you needed to find people who had spent years acquiring those capabilities. Expertise took time to build and was correspondingly expensive to access.
Artificial intelligence is beginning to change that equation.
The important point is not that AI performs every task better than humans. It doesn't. The more significant development is that it has dramatically lowered the cost of producing competent intellectual work.
Competence, not genius.
That distinction matters.
Ask an AI model to summarise a report, draft a proposal, analyse a spreadsheet or brainstorm marketing ideas and it will usually produce something perfectly usable. It may not be exceptional. It may not redefine an industry. But it is often good enough to replace hours of work that previously required trained professionals.
This is precisely how technologies transform industries. They rarely eliminate the highest end of a market first. Instead, they redefine what becomes ordinary.
Consider photography.
Professional photographers still exist, and the best among them have arguably become even more valuable. What disappeared was the economic value of taking an average photograph. Smartphones made competent photography available to everyone, forcing professionals to compete on creativity, taste and artistic vision rather than access to equipment.
Artificial intelligence is doing something remarkably similar to knowledge work.
The average strategy document is becoming cheaper to produce.
Average software is becoming easier to write.
Average marketing copy is becoming almost free.
Average research is increasingly available on demand.
Notice the pattern.
It is not excellence that is being commoditised.
It is adequacy.
That observation carries profound implications for how organisations should think about talent.
Many companies continue to approach hiring as though technical competence alone creates durable competitive advantage. Job descriptions remain centred on execution. Recruitment processes still prioritise technical assessments above almost everything else. Performance reviews frequently reward output more than judgement.
Those approaches made sense in a world where technical execution itself was scarce.
They make considerably less sense in a world where competent execution can increasingly be generated, accelerated or augmented by machines.
If every organisation has access to similar technological capabilities, then advantage migrates elsewhere.
It migrates towards judgement.
Towards creativity.
Towards trust.
Towards organisational alignment.
Towards identifying problems worth solving before everyone else notices them.
These qualities are considerably harder to automate because they depend on context rather than information.
Context is one of the most underrated concepts in modern management.
Information tells you what is happening.
Context tells you why it matters.
Information explains customer behaviour.
Context explains customer motivation.
Information identifies trends.
Context determines whether those trends are meaningful or temporary.
Artificial intelligence is extraordinarily effective at processing information. Human beings remain significantly better at understanding context because context emerges from experience, relationships, incentives, history and culture. It is rarely contained neatly within a dataset.
This distinction becomes particularly obvious inside leadership teams.
Board meetings are filled with intelligent people. Strategy documents are supported by increasingly sophisticated analytics. Dashboards provide more information than executives could reasonably consume.
Yet important decisions remain stubbornly difficult.
Should we acquire this company?
Should we enter this market?
Should we replace this leader?
Should we sacrifice short-term profitability for long-term growth?
None of these decisions are constrained by a lack of information.
They are constrained by uncertainty.
Uncertainty has always been the natural habitat of leadership, and it is precisely where judgement becomes economically valuable.
I sometimes worry that organisations are preparing for the AI era by optimising the wrong variable. They are racing to reduce the cost of producing work while paying insufficient attention to improving the quality of the decisions that determine which work deserves to exist.
The distinction sounds philosophical until you consider how businesses actually create value.
No customer pays because a company generated an additional hundred presentations.
No shareholder benefits because another thousand reports were produced.
Value is created when organisations repeatedly make better decisions than their competitors.
Technology has always amplified that process.
It has never replaced it.
This is why I find the current discussion around AI strangely incomplete.
The dominant narrative assumes that intelligence itself is the scarce resource. Consequently, every conversation revolves around acquiring more of it through increasingly capable models.
History suggests otherwise.
Whenever a resource becomes abundant, success depends less on possessing that resource than on deploying it wisely.
Electricity did not guarantee industrial leadership.
The internet did not guarantee commercial success.
Cloud computing did not eliminate strategic advantage.
Artificial intelligence will almost certainly follow the same pattern.
It will become infrastructure.
Essential.
Powerful.
Universally available.
The organisations that outperform will not be distinguished by the fact that they use AI. That will eventually become as unremarkable as using email or cloud software.
They will distinguish themselves through the quality of the judgement surrounding those tools. They will know when to trust the machine, when to challenge it, when to ignore it and, perhaps most importantly, when a fundamentally human conversation matters more than another perfectly generated answer.
That is why I increasingly believe intelligence is becoming a utility rather than a differentiator.
Utilities are transformative precisely because everyone eventually has access to them.
Competitive advantage is rarely found inside the utility itself.
It is found in what people choose to build on top of it.