There is an uncomfortable paradox that plays out every time technology takes a leap forward. The companies that end up shaping the future rarely look sensible in the moment. Their valuations seem to be inflated. Their cash burn looks reckless, and their ambitions appear unrealistic. But history tells us that the biggest and best tech companies succeed because they win the scale game.
In the age of artificial intelligence, this dynamic becomes even more pronounced. Elevated valuations will feel normal because we are trying to price something that has not fully arrived. Much of the future value is bound to technologies and applications that do not yet exist. Productivity gains that have not yet been created let alone measured. Industries that have not yet been created. The market is being asked to look ten years forward even though most people struggle to see ten months ahead.
AI is a multi-year tailwind. It will be volatile. It will overshoot. It will disappoint at times. But over the course of the journey, it will lift both growth and productivity across the global economy. In that type of cycle, buying the dips will matter more than trying to call the top because the structural direction is up. The growth is exponential.
This is also why OpenAI, even as an unlisted company, keeps dominating headlines. People are fascinated by the numbers. A valuation in the hundreds of billions simultaneously burning billions of dollars in cash annually. The debate tends to stop right there. But the real question to ask is what those numbers actually mean.
A big number without context means nothing. Most people cannot conceptualise the difference between a million and a billion, let alone a billion and a trillion. One million seconds is around twelve days. One billion seconds is more than thirty-one years. One trillion seconds is more than thirty-one thousand years. The mind boggles. Investors backing OpenAI are not confused by this. They are not funding short-term profits. They are funding the race to scale.
We have seen the exact same story before.
Amazon lost money for more than a decade. For years investors rolled their eyes at the billions pouring into data centres, fulfilment networks, and cloud infrastructure. But Amazon understood what others did not appreciate. First you scale. Then you monetise. Profit is the final step, not the first. The benefit became obvious when AWS emerged as one of the most profitable business models in the world.
Meta followed a similar path. Heavy spending on data infrastructure, algorithm development, machine learning, and global distribution. Huge amounts of cash that looked irresponsible from the outside, some of it probably was. But from the inside it was the only way to win. The company that scales first becomes the company that sets the rules and controls the market. Monetisation becomes a strategic choice rather than a desperate scramble. Now Meta’s ad engine is a global monopoly.
OpenAI is not profitable because profit is irrelevant at this stage of the journey. They are building foundational infrastructure for a technology that will power the next decade of economic expansion. They are racing to scale because scale determines who survives. When the market shakes its head at the losses or scoffs at the valuation, what they are reacting to is discomfort because the future is difficult to value.
When the market cannot value something clearly, the instinct is to assume it is overpriced. But the early stages of a platform shift work differently. The pricing is not about current earnings. It is about capturing the optionality of every future application that can be built on top of the technology. That is why the smartest investors focus on the direction of scale rather than the quarterly burn rate.
This does not mean every AI company wins. Far from it because many will not. But the ones that do will define the next generation of productivity and wealth creation. They will pull forward years of economic efficiency, and they will reshape entire industries. That is why valuations look high today and why they may look cheap in hindsight.
If the next decade belongs to AI, then the next decade belongs to the companies that can scale faster than anyone else. That is the game right now. It is why buying the dips during a structural tailwind becomes one of the more rational decisions an investor can make.
Profit comes later. Scale comes first.
General Disclaimer: This information is of a general nature only and may not be relevant to your particular circumstances. The circumstances of each investor are different, and you should seek advice from an investment adviser who can consider if the strategies and products are right for you. Historical performance is often not a reliable indicator of future performance. You should not rely solely on historical performance to make investment decisions.