AI Bubble?
2nd February 2026
AI has recently become a theme in the UK press, with debate on whether it represents a transformative shift, or the early stages of a financial bubble.
"I’m Forever Blowing Bubbles” is a song synonymous with the West Ham faithful, but the language of bubbles has moved well beyond East London football terraces. In recent months it has become a recurring theme in the UK retail press, with debate centring on whether artificial intelligence represents a transformative technological shift—or the early stages of a financial bubble.
This is not the first time investors have faced this question.
Lessons from the Dot-Com Era
The dot-com boom of the late 1990s was driven by the belief that the internet would fundamentally reshape business, delivering dramatic efficiencies and profits for early adopters. That belief was broadly correct—but the timing and valuations were not.
Fuelled by cheap capital, falling interest rates and intense media enthusiasm, the NASDAQ rose by around 400% between 1995 and 2000. Many companies achieved multi-billion-dollar valuations despite having little or no revenue, let alone profits. When funding conditions tightened and growth expectations were reassessed, the bubble burst. From peak to trough, the NASDAQ fell by approximately 78%, and many investors suffered significant losses.
With hindsight, the warning signs were clear: unproven business models, weak capital discipline and infrastructure that was not yet capable of supporting mass adoption.
How Today’s AI Cycle Differs
The current enthusiasm around AI has important differences.
This time, market leadership is concentrated in a small number of large, highly profitable and cash-generative companies. AI is no longer theoretical—it is already embedded in enterprise software, cloud computing, logistics, advertising and consumer services. Crucially, unlike the dot-com era, the infrastructure is already in place and expanding: advanced semiconductors, hyperscale data centres and global cloud networks are operational today.
Importantly, this does not mean valuations cannot fluctuate or that growth is guaranteed. Markets may still experience periods of correction or multiple compression. However, the foundations supporting AI adoption are materially stronger than those that underpinned the dot-com boom.
The AI Leaders: Proven Businesses, Not Promises
The companies at the forefront of AI today are not speculative start-ups. They are established global leaders that not only survived the dot-com crash but emerged stronger.
Microsoft
- One of the world’s most profitable companies, generating over $80bn of operating income annually
- Azure is a core pillar of global cloud infrastructure
- AI tools such as Copilot are already being monetised across Office, GitHub and enterprise software
- Balance sheet strength allows sustained multi-year investment in AI infrastructure
Amazon
- AWS is the largest cloud platform globally, underpinning AI workloads for thousands of businesses
- AI services are integrated into logistics, retail optimisation and cloud computing
- Significant free cash flow generation supports ongoing data-centre and compute expansion
Google (Alphabet)
- Owns one of the deepest data and compute moats in the world
- AI is embedded across Search, advertising, YouTube and Google Cloud
- Decades of investment in AI research underpin commercial deployment today
These are businesses with scale, pricing power and proven execution - not companies reliant on future funding or untested business models.
Positioning for Opportunity While Managing Risk
While the long-term case for AI remains compelling, short-term market movements are rarely linear. Valuations may adjust, sentiment may shift and volatility may create periods of uncertainty. Rather than attempting to time the market, some investors may prefer an approach that remains invested while offering a degree of downside protection.
See our products linked to tech stocks here: our 3Y Tech Stock Basket Growth Plan (CIBC12) and our 2Y Tech Stock Basket Monthly Fixed Income Plan (CIBC13).
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This post was written by Glyn Richards, Sales Director at hop Investing.
When investing your capital is at risk and you can get back less than you invested.
This is not a recommendation to buy nor does it constitute advice.
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Sources used within this article:
Lessons from the Dot-Com Era
• Intuition Labs. (2025). AI bubble vs. dot-com bubble: similarities and differences.
• Reuters. (2025). Alphabet’s Pichai warns no company is immune if an AI bubble bursts.
• Business Insider. (2025). OpenAI chairman compares AI to dot-com era.
How Today's AI Cycle Differs
• Janus Henderson. (2025). AI versus the dot-com bubble.
AI Leaders
• CRN. (2025). AWS vs. Microsoft vs. Google Cloud earnings comparison.
• Technology Magazine. (2025). AWS remains cloud market leader.
• ad-hoc-news. (2026). Microsoft Azure powering AI workloads.