The US AI bubble is certain to dominate discussions at GITEX Global’s 45th edition. Hopefully, it won’t detract from discussions about other critical technologies and challenges.
Thousands of exhibitors and hundreds of thousands of tech executives from hundreds of product sectors will attend GITEX Global. It’s a manifestation of possibility as representatives from thousands of businesses meet to explore potential collaborations.
Squire Technologies is heading to GITEX Global with the aim of solving real-world telecommunication challenges using proven solutions. Meet with a member of our team to talk about our future-proof voice, messaging and signalling platforms.
Nearly every keynote session at GITEX Global seems to feature AI, and 13 pages of the GITEX Global brochure are dedicated to it. The event is labelled as “THE WORLD’S LARGEST TECH, AI & STARTUP SHOW”.
It’s understandable that GITEX Global is pushing AI. Almost every keynote speaker and company at the event probably has a stake in AI. However, rather than talking about AI innovations, delegates might spend more time asking, “When is the US AI bubble going to burst?”
What stage of the US AI bubble are we in?
Sam Altman, CEO of OpenAI, and Bank of America analyst, Michael Harnett, have both acknowledged the existence of an AI bubble. In other words, currently, AI has more invested in it than it is worth.
Typically, market bubbles have five stages: displacement, boom, euphoria, profit-taking, and panic. So, what stage of the AI bubble are we in?
The Euphoria stage
It’s likely that we’re in the Euphoria stage, when everyone just throws their money at something without thinking.
The Magnificent Seven big tech firms started losing market value in January 2025, following the launch of DeepSeek R1. However, inspired by the displacement and boom stages of the previous two years, investors returned with renewed zeal.
Evidence of the Euphoria stage is clear:
AI has received huge investment despite yielding very little return.
About 95% of businesses that have adopted AI have not seen a return on their investments.
Nvidia alone constitutes about 8% of the S&P 500’s value, suggesting a significant lack of savvy investment diversification.
What could be next?
Next could be the Profit-taking stage, when the bubble stops growing and people start taking their money out. The Big Short’s Michael Burry, divested tech stocks as the Magnificent Seven’s value dropped and took put options on Nvidia. It’s likely a sign that as far as Burry is concerned, the AI bubble may burst soon.
When the Panic stage starts, investors all look for the exits. AI companies without substantial returns and robust business models may start folding like Dot-Com crash companies.
What could burst the US AI bubble?
It’s possible that investors could ride the bubble out until AI firms produce returns that validate investment levels. However, there are several factors that might burst the bubble at any moment, such as:
Fragile AI business models could run out of capital, akin to those of Dot-Com companies that caused the 2000 crash.
Nvidia could suffer a geopolitical shock that undercuts the AI chip manufacturing that supports so much of AI’s infrastructure.
Another DeepSeek could appear.
Investors could start looking for safer places to invest than a bubble.
If Nvidia crashes, as Burry’s investments suggest could happen, it’ll be like kicking out the leg of a stilt-walker. As practically the whole US AI infrastructure is built on Nvidia chips, it makes for a fragile situation.
However, all of it is just speculation. For most companies, there are more immediate matters that they need to discuss, such as “How can network operators leverage their network resources to generate new revenue streams?”
Solving complex network challenges at GITEX Global
Squire Technologies is attending GITEX Global with a mission of helping communication service providers achieve more. We believe that multi-vendor networks enable greater efficiency, reduced costs, and faster adaptation to market changes. Our solutions are designed with that in mind, creating network flexibility, scalability, efficiency and security.