The comparison investors keep returning to is the dot-com boom. And there is a reason for that. In the late 1990s, investors actually got the biggest idea right. The internet was going to transform the world. What they got wrong was the price they were willing to pay for that future. Many companies were valued as if success was already guaranteed, even though their business models, profitability, and long-term competitive advantages were still uncertain.

That is the debate now forming around artificial intelligence. A revolutionary technology does not automatically create a great investment. The positive case for AI is easy to understand. Adoption is accelerating, companies are searching for productivity improvements, demand for computing infrastructure is rising, and many investors believe artificial intelligence could become one of the most important technological shifts in decades.

The real question is no longer whether artificial intelligence will change the world. There is a strong chance that it will transform industries, businesses, and the way people work. The harder question for investors is how much of that future growth and potential has already been priced into today's market valuations. That is where market excess usually begins.

History shows that market bubbles rarely form around ideas with no value. They often develop around genuinely transformative innovations. The challenge is that investors can underestimate how long it takes for those innovations to generate sustainable profits, how competitive the market can become, and how much investment is needed along the way. The internet ultimately changed the world, but that did not prevent many internet stocks from collapsing during the journey.

IPOs and the Search for Warning Signs

The IPO market is often a useful place to look for clues. Periods with a surge of high-profile listings usually happen when investor confidence is strong and companies can achieve favourable valuations. The growing focus on potential listings from some of the world's most recognised private technology companies highlights how much attention has shifted toward artificial intelligence and next-generation innovation.

For companies, founders, employees, and early investors, going public can provide an opportunity to raise capital, fund expansion, and turn years of private investment into liquidity. That does not automatically mean the market is near a top.

Moreover, the listings themselves may not be the biggest warning sign. The real signal could come from how investors react.

Strong demand for new listings is not automatically a warning sign. Successful companies should attract investor interest. The concern begins when the price becomes less important than simply owning the next major technology story. Markets usually become vulnerable when investors stop asking what something is worth and focus only on what it could become. The late stages of the dot-com boom showed this clearly. Investors correctly recognised the internet's potential, but enthusiasm eventually pushed many valuations beyond what future profits could justify.

The challenge for investors is that quality and valuation are two separate questions. A company can dominate an industry, create enormous economic value, and still deliver disappointing returns if expectations become too aggressive. The test for the next generation of technology IPOs will not only be whether these businesses succeed. It will be whether the price investors pay leaves enough room for that success to matter.

If major technology IPOs are met with extreme demand, aggressive valuations, and investors ignoring the path to profitability, that would suggest excitement is starting to overpower discipline. Investors should watch for the classic signs of speculative behaviour:

• valuations rising much faster than underlying business growth
• losses and cash burn being ignored
• companies being priced almost entirely on future expectations
• fear of missing out replacing careful analysis

These patterns have appeared repeatedly during previous market booms.

Bubble or Breakthrough? Profits Will Decide

The strongest argument against comparing today's AI boom directly with the dot-com era is that many leading AI businesses are not just concepts. They have real technology, real users, major financial backing, and products already being adopted around the world. Platforms such as ChatGPT and Claude have helped move advanced artificial intelligence into mainstream use for individuals and businesses.

That is a major difference from many companies during the internet bubble. Nevertheless, there is still a difference between building an important technology and becoming a great long-term investment. Great companies can still become disappointing stocks if investors pay too much. The next stage of the AI story will be less about excitement and more about execution.

Investors will increasingly focus on:
- revenue growth
- profit margins
- infrastructure spending
- competitive advantages
- returns generated from AI investment

The biggest risk may not be that artificial intelligence disappoints. The bigger risk is that AI delivers on its promise, but investors paid prices that already assumed the best possible outcome.

History has shown this before. The internet reshaped the global economy, but many internet stocks still collapsed after 2000. Railways transformed transportation, yet railway investors also suffered huge losses during periods of speculation.

A technology can be revolutionary, and a market can still become overheated.

The Great AI Test

The current focus on potential AI-related IPOs should therefore not automatically be seen as proof of a bubble. It should be seen as the moment where the market begins separating technological winners from investment winners. Many of today's leading AI companies appear larger, better funded, and more developed than many of the speculative businesses that emerged during the dot-com era.

However, size alone does not remove valuation risk. A great story eventually has to become great earnings. A powerful technology still has to produce attractive returns, and a famous company still has to justify the price investors pay.

The next few years will show whether this moment marks the beginning of a new productivity era, or the point where expectations moved faster than reality. AI may well change the world, but history suggests that does not mean every valuation will survive.