Every few years, a technology comes along that everyone agrees will change everything. Sometimes it does. Sometimes it collapses under the weight of its own hype, taking a generation of investors and early adopters with it. The dot-com crash of 2000. The NFT frenzy of 2021. Crypto’s repeated cycles of mania and collapse. So when people ask whether AI is a bubble — the question is fair, and it deserves a serious answer rather than either breathless enthusiasm or cynical dismissal.
Here’s my honest view after watching technology reshape marketing for over 20 years: AI is not a bubble in the way the dot-com era was. But significant parts of the current AI investment landscape probably are. The distinction matters enormously for what you, as a business owner, should actually do.
What Makes Something a Bubble
A financial bubble exists when the price of an asset — or the valuation of a technology sector — dramatically exceeds what the underlying reality can support. Dot-com companies with no revenue and no path to profitability traded at billions of dollars because the story was compelling, not because the fundamentals were. When reality caught up, valuations collapsed by 90% or more.
The key question for AI isn’t whether the technology is real — it clearly is. The question is whether the valuations and expectations attached to it are realistic. And there, the picture is genuinely mixed.
The Bubble Case
The numbers are extraordinary. Nvidia’s valuation at its peak was larger than most countries’ GDP. Venture capital has flooded into AI startups at a rate that makes the dot-com era look restrained. Many of these companies have enormous costs — the compute required to train and run large AI models is staggering — and revenue models that remain unproven at scale.
Meanwhile, the productivity gains being promised by AI evangelists have not yet shown up clearly in economy-wide productivity statistics. There’s a gap between what AI can do in a demo and what it reliably delivers in complex, real-world business environments. That gap is often wider than the marketing suggests.
Some consolidation, some failures, and a painful correction in AI company valuations seems likely. History suggests that even transformative technologies go through a “trough of disillusionment” before the lasting winners emerge.
The “Here to Stay” Case
Here’s the critical difference from previous hype cycles: the underlying technology is genuinely useful right now, not in some theoretical future. I use AI tools every week that save real time on real tasks. My clients use AI tools that are measurably improving their output. The question isn’t whether AI works — it’s whether specific companies will survive the inevitable shakeout.
Compare this to the dot-com era, where most of the hyped applications genuinely didn’t work yet. The internet was real, but online shopping, online advertising, and the infrastructure to support them were still years from maturity. AI is different: the core capability — generating text, images, code, analysis — is already functional and already being used at scale by millions of businesses.
The technology will survive, even if many of the companies built around it won’t.
What History Tells Us
The dot-com crash wiped out thousands of companies. It did not wipe out the internet. The businesses that survived — Amazon, Google, eBay — went on to become some of the most valuable companies in history. The crash was brutal for investors who bought at peak valuations. It was largely irrelevant to businesses that simply used the internet as a tool rather than speculating on it.
The same pattern played out with mobile, with cloud computing, and with social media. Each went through a hype cycle. Each produced a crash of some kind. And each became essential infrastructure that every business eventually had to engage with.
AI will follow the same arc. The hype will moderate. Some companies will fail spectacularly. The capability will remain — and grow.
What You Should Actually Do as a Business
This is where most of the conversation falls short. The financial media debate about AI valuations is largely irrelevant to a business owner who isn’t investing in AI stocks. What matters is how you position your business relative to a technology that is genuinely changing how work gets done.
1. Engage with the Tools, Not the Hype
You don’t need to form a view on AI company valuations. You need to identify which AI tools are genuinely useful in your specific business context. Try them. Measure the results. Keep what works and discard what doesn’t. This is no different from evaluating any other piece of software.
Start with the obvious applications: can AI save time on writing tasks? Can it improve your customer service response times? Can it help you analyse data faster? These are low-risk experiments with potentially significant upside.
2. Build AI Literacy in Your Team
The businesses that will struggle in five years are not those that adopted AI too slowly — they’re the ones that never built the capacity to use it intelligently. That means training. It means creating a culture where people experiment with tools and share what works. It means hiring people who understand how to use AI effectively rather than just talking about it.
This doesn’t require significant budget. It requires intention and leadership.
3. Don’t Restructure Your Business Around AI Promises
This is where the bubble risk becomes relevant to non-investors. Some businesses have cut headcount based on AI capabilities that haven’t yet materialised. Some have made significant technology investments in platforms that may not survive the consolidation to come. Some have handed over core business processes to AI systems that perform adequately in demos but fail in production.
Move thoughtfully. Integrate AI where it demonstrably works. Maintain your human capability and judgment. Don’t make irreversible decisions based on promises about what AI will be able to do in future.
4. Watch Your Competitors, But Don’t Panic
If your competitors are using AI tools to produce content faster, respond to customers more efficiently, or target their marketing more precisely — that’s a real competitive pressure you need to address. But the right response is measured adoption of tools that work, not a frantic scramble to implement everything at once because someone at a conference said you’d be obsolete by next year.
5. Protect What AI Can’t Replicate
Your relationships. Your reputation. Your domain expertise. Your understanding of your specific market and customers. Your ability to make judgment calls with incomplete information. These are the competitive advantages that AI will not erode — and they become more valuable, not less, as more businesses automate their commodity tasks.
The businesses that will thrive are those that use AI to handle the routine, freeing up human capacity for the strategic, the creative, and the relational. That’s a compelling vision — but it only works if you maintain and invest in those human capabilities.
The Verdict
AI is not a bubble in the sense that the internet was not a bubble. The technology is real, the use cases are real, and the trajectory is toward greater capability and deeper integration into how businesses operate. That is not going to reverse.
But the valuations of many AI companies, the promises made by AI vendors, and the expectations held by some adopters are inflated beyond what the current reality supports. Some painful corrections are coming. Companies will fail. Certain applications will prove less transformative than promised.
For your business, the right response is neither to go all-in nor to sit on the sidelines. It’s to engage intelligently — adopt what works, build capability in your team, protect what makes you distinctively valuable, and avoid making irreversible bets on promises that haven’t yet been kept.
The businesses that got the most from the internet weren’t the ones that bought internet stocks at peak valuations. They were the ones that quietly built great websites, learned to use email effectively, and showed up in search results when their customers were looking. Do the same with AI.
FAQ
Will AI replace my job or my team?
Some roles will change significantly. Roles that consist largely of repetitive, structured tasks — data entry, basic content production, routine customer service — are being automated. Roles that require judgment, relationships, creativity, and contextual understanding are not under the same threat. Most jobs will evolve rather than disappear entirely: people will use AI tools to do more, rather than being replaced by them.
Which AI tools are worth investing in for a small business?
Start with tools that have clear, measurable use cases: AI writing assistants for first-draft content, AI-powered customer service chatbots if you handle high volumes of routine enquiries, and the AI features built into platforms you already use (Google, Meta, your email marketing platform). Avoid expensive bespoke AI projects until you’ve proven the basics work.
How do I know if an AI vendor’s claims are realistic?
Ask for case studies from businesses similar to yours. Ask to see it work on your actual data or content, not a curated demo. Ask what it can’t do. If a vendor can’t give you clear answers to those questions, that tells you something important.
What if I do nothing about AI?
Doing nothing is a decision, and like all decisions, it has consequences. If your competitors are using AI to work faster and more cheaply, and you’re not, that’s a growing disadvantage over time. The window to engage with this technology as an early mover is already closing in most sectors. Thoughtful adoption now is a better position than forced adoption under competitive pressure in two years.
The bottom line: AI is here to stay. Some of the hype around it isn’t. Your job is to engage with the reality, not the hype — and to build your business in a way that uses AI where it genuinely helps while protecting the things that make you irreplaceable.
Wayne Bromiley is a digital marketing consultant with over 20 years of experience, working with clients across the UK, Finland, and internationally. Get in touch if you want to talk through how AI fits into your marketing strategy.