Investment bubbles typically do not start from weak ideas. On the contrary, many of the major bubbles in history began from sound ideas, only for the markets to overprice them. This happened with railroads, with the internet, and with cryptocurrencies, and it may happen today, to varying degrees, with artificial intelligence.

In a widely circulated clip, Sundar Pichai, the CEO of Alphabet, presented a dual reading of the landscape.
The excitement around artificial intelligence, he believes, is justified; because the demand is real, usage is expanding, and companies and consumers are rapidly adopting new tools. However, at the same time, he does not deny the existence of investment exaggeration similar to what occurred in the early days of the internet.

This observation was the entry point for a question posed to a number of students from Al Yamamah University in Riyadh:

Is artificial intelligence experiencing an investment bubble?

The answers did not come as a simple vote between 'yes' and 'no'. Instead, they revealed a remarkable economic awareness: the technology may be real, while some prices surrounding it are exaggerated. And this is precisely where the most important story begins.

The technology is not always the bubble

Rimas Almashali @Rimas Almashali highlights the most important distinction in the discussion. She sees that the signs of a bubble, if they exist, do not lie in artificial intelligence itself, but in the valuations of some companies associated with it. Investors, as she points out, are pouring in large amounts of money based on future growth expectations, which may drive valuations to levels that exceed the true value of the companies.

This is an accurate financial reading. The market does not only buy the current performance of a company, but also its expectations for what it will be in the future. The greater the distance between the financial dream and actual profit, the higher the chances of correction.

However, Rimas does not view artificial intelligence as a passing wave. She emphasizes that it has become an economic reality across multiple sectors, not just a temporary 'trend'. This opens the door to a more mature idea: some companies' prices may drop, but the technology itself may continue to reshape the economy.

When the bubble coexists with impactful technology

Rana Alshamrani @Rana Alshamrani refuses to give a definitive answer. In her opinion, the scene cannot be reduced to a single judgment. There are clear signs of exaggeration in some market valuations, but there is also real and growing demand for artificial intelligence technologies.

Rana bases her view on the meaning that Pichai himself presented: the excitement is rational due to real demand, but it is not devoid of irrational elements in the market. This may be the most accurate description of the current moment. The investment bubble and impactful technology are not necessarily opposites. Great technology can exist within an overpriced market.

This is what happened in the early days of the internet. The network was not an illusion, but many companies that raised the internet banner were overvalued. After the correction, the technology did not disappear, but the weaker companies did.

Real demand does not justify every price

Jumana Alshehri @Jumana Alshehri views the issue from the perspective of growth and usage. She believes that the excitement around artificial intelligence is justified because it is based on real applications and clear growth, but she warns against assuming that all current investments are correctly valued.

This point is critically important. In markets, the existence of a promising sector does not mean that every company within it is a good opportunity. The overall trend may be correct, while some individual bets may be wrong. Demand may be increasing, while prices may have outpaced profits by years.

Therefore, Jumana emphasizes that the companies that will survive are those that have strong business models and real value. In other words, survival will not be for those who merely raise the banner of artificial intelligence, but for those who can turn it into a product, revenue, competitive advantage, and sustainable cash flows.

The Dot-Com Lesson: The Fall of Companies Does Not Mean the Fall of Transformation

Abdullah Alqasem recalls the dot-com bubble of the late 1990s. At that time, internet company valuations soared to exaggerated levels, and then thousands of companies collapsed. However, the collapse of those companies was not evidence of the failure of the internet. On the contrary, a new digital economy emerged from that phase, and major companies like Amazon and Google emerged.

This analogy gives the discussion historical depth. Economic history shows that markets may err in pricing major waves, but they do not necessarily negate the underlying value of the technology. Sometimes, correction is the way the market separates real companies from those that thrived solely on enthusiasm.

Abdullah believes that artificial intelligence may follow a similar path. The technology itself is real, entering programming, medicine, education, industry, and more, but not every company that includes 'AI' in its name will succeed. If a correction occurs, it will likely hit the weak or unprofitable companies, while those with strong products and clear cash flows will remain.

The Infrastructure Behind the Excitement

Ghadah Alwallan @Ghadah Alwallan adds another element to the discussion: demand is not limited to the direct applications of artificial intelligence, but extends to the infrastructure that supports it. The current excitement, in her view, is largely justified because the demand for artificial intelligence applications and the supporting infrastructure is expanding rapidly.

This is an economically important angle. Artificial intelligence is not a single program or an isolated application. It is a complete ecosystem that requires chips, data centers, energy, cloud, talent, distribution networks, and operating models. Therefore, the wave does not only create software companies but also rearranges entire value chains.

However, Ghadah Alwallan sets a clear limit to the excitement: the success of the technology does not mean that all companies will succeed, nor that all current valuations are justified. Thus, she returns to the central idea in the entire discussion: the technology may be sound, but the price may be wrong.

Investor Behavior: When a Trendy Name Becomes a Trap

Ghada Alsarheed shifts the discussion from companies to the investor themselves. The question, in her opinion, is not just whether there is exaggeration or not, but why investors are drawn to new waves and how they deal with them.

Ghada Alsarheed calls for going back to the source, asking questions, inquiring, starting with small steps, learning before expanding, and not getting swept away by hype. This is not a theoretical observation; it is a practical rule in every investment wave. An investor who does not understand what they are buying may turn from a participant in an opportunity to a victim of market noise.

She likens the relationship between artificial intelligence and investment to 'potholes', recalling the experience of Bitcoin and its volatility. Although artificial intelligence differs from cryptocurrencies in terms of its productive nature and institutional uses, the analogy is useful in a specific aspect: when a name spreads quickly among people, capital may move out of fear of missing the opportunity rather than a true understanding of the risks.

What do these collective interventions say?

These student opinions reveal six clear economic conclusions.

First: Artificial intelligence is not a complete bubble, as it is based on real uses and increasing demand.

Second: Some company valuations may be exaggerated, especially when based on future growth expectations that have not yet materialized.

Third: The closest historical comparison is the internet, not because it repeats itself literally, but because it shows how many companies can collapse while the technology remains and grows.

Fourth: The companies that can survive are not just those that use the language of artificial intelligence, but those that have a clear business model and measurable value.

Fifth: Investors need awareness, questioning, and verification, not to rush behind the wave.

Sixth: A correction, if it occurs, will not necessarily be a judgment on artificial intelligence, but on the overpricing of some promises surrounding it.

Markets do not price technology alone

In the end, markets do not price technology as an abstract idea. They price the ability to turn technology into profits. Here lies the essence of the discussion. Artificial intelligence may be one of the most significant economic transformations of this decade, but that does not make every company associated with it a good investment, nor does it make every current valuation defensible.

Artificial intelligence may raise productivity, reshape entire sectors, and open new markets. But at the same time, it may lead investors to exaggerate, companies to inflate promises, and markets to price a future that has not yet arrived.

Thus, the most balanced answer seems to be as follows:
Artificial intelligence is not a bubble in its essence, but it exists within an investment environment that may carry partial bubbles around some companies, valuations, and expectations.

Is artificial intelligence important?

What distinguishes this student discussion is that it did not fall into an easy binary: bubble or revolution. Instead, it approached the area where markets actually move: an area where value mixes with noise, innovation with speculation, and real demand with excessive expectations.

We may witness a correction in the prices of some artificial intelligence companies. Companies that entered the wave with a narrative larger than their capacity may disappear. But it is unlikely that artificial intelligence itself will disappear from the economy. As happened with the internet, exaggeration may burst, while the new infrastructure that changed the way of work, production, and knowledge remains.

The question, then, is not: Is artificial intelligence important?
It is more likely that it is important.

The more precise question is: Who will turn this importance into sustainable economic value, and who will remain just a fleeting name in a rising wave?