AI is all the rage right now. The subject dominates headlines and boardrooms alike in 2025, and investors continue to eye “AI stocks” closely. Yet, with all the interest lurks a question: “Is all the hype justified, or are we witnessing a slow-moving crash before our eyes?”
Global spending on AI is projected to soar from $307bn in 2025 to an expected $632bn by 2028, and excitement is running high about how the technology could reshape national economies and revolutionise sectors across the board.
In this article, our financial planners cut through the hype and look under the hood - the rapid rise in valuations and massive investment dollars - to shed light on the question, and, more importantly, how investors should respond.
A “bubble” carries the suggestion that something is about to “pop”. Within markets, this can happen when investors get so excited about a specific asset class (e.g. internet companies in the late 1990s) that valuations are pushed past reasonable limits. When reality sets into the market, a sharp correction or crash can follow.
In this respect, there are certainly some “red flags” appearing in the AI sector. Startups are exhibiting sky-high valuations, and tech giants are committing huge capital expenditures to the technology (e.g. Google’s “Gemini” and, recently, AI Mode within its search engine).
Meanwhile, chipmakers like Nvidia continue to reach new historic heights as these companies seek more hardware to power their AI solutions. Indeed, Nvidia recently became the first company in the world to reach a $5tn valuation - i.e., nearly 8% of the S&P 500.
However, is this really a bubble? Or, could it mark a genuine technological transformation?
The public is largely unaware of the financial statements of AI companies like OpenAI, which recently reported a net loss of $13.5bn in the first half of 2025. This is despite bringing in $4.3bn in income (e.g. from Pro subscriptions to ChatGPT).
The technology is also still developing. For instance, AI-powered summaries in search engine results are still often inaccurate. Indeed, a recent Financial Times article revealed that AI provides the wrong answers 44% of the time when it comes to financial advice.
Moreover, the long-term business models of many AI companies remain unclear. Operating costs are huge, and it takes significant time and investment to set up the data centres required to power LLMs (large language models).
Industry analysts caution that the hype may outpace the tangible earnings for some time yet, posing risks for investors who chase the hottest stocks without diversification.
Is the AI boom different from bubbles like the Dot-com craze in the late 1990s? Some market experts think so. The argument is that the tech underpinning AI is genuinely transformative, and many investments are funding critical infrastructure expansion - not just speculative ventures.
Nonetheless, the scale of investment is unprecedented, with tech billionaires emerging at a record pace. There are now an estimated 1,300 AI startups valued over $100m, and 500 “unicorns” worth billions more. Meanwhile, governments (including the UK) are pouring billions into data centres, software development and AI research.
This has led to comparisons with previous bubbles, as well as warnings of potential "sharp corrections" if profit expectations are unmet.
AI optimism is still riding high at the time of writing. However, the environment is volatile, with AI stocks and funds vulnerable to gyrations as markets reassess valuations or respond to evolving technology and regulations.
So, how should you approach AI-related assets as an investor? Do you avoid them and possibly miss out on a “gold rush” of opportunity, if the hype does turn out to be justified? Or, is there a different way to approach AI investing?
The first guiding principle is to avoid trying to time the market. Instead, investors should focus on strategies that preserve long-term wealth. Here, a fundamental (and timeless) principle is to stay diversified. This is always the best defence against sector-specific volatility.
AI certainly has exciting growth prospects right now, but it should be part of a well-rounded portfolio that includes investments across geographies, industries and asset classes. This balance helps cushion the impact if AI valuations correct sharply.
Remember to keep your investment decisions aligned with your long-term goals. When you start speculating about the market, this can trigger temptations to trade impulsively. However, history shows that sticking to a clear plan through market cycles typically yields better outcomes.
Trust the process designed with your adviser, which factors in risk tolerance and time horizons.
Keep abreast of how AI technologies develop and how markets respond, but be mindful of media hype and overly optimistic projections.
The AI landscape today is dynamic, laden with speculation and promise in equal measure.
By focusing on a balanced, well-informed strategy, you can weather volatility and position your portfolio for sustainable growth in an AI-enhanced future.
If you’d like to ensure you’re taking the right steps to protect your wealth and safeguard your investments, please get in touch.
Your capital is at risk. Investments can go down as well as up, and you may not get back the amount you originally invested. Past performance is not indicative of future results. Diversification does not guarantee profits or fully protect against losses. Tax treatment depends on individual circumstances and may change in the future. This content is for information only and does not constitute personal financial advice. Readers should seek independent financial advice before making any investment decisions.
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