The Danger Every Scaling Tech Company Faces
There are currently so many articles about AI that most people have probably stopped reading them. But there is an important trend that people aren’t talking about and AI is a great example.
Every LinkedIn scroll contains another prediction, another founder explaining how their platform is “revolutionising productivity” and another AI generated thought piece about how AI is changing the world. Most people in technology are probably starting to glaze over.
Which is precisely why this matters.
This is not really an article about AI. It is an article about what happens when technology markets scale rapidly, attract extraordinary investment and suddenly become crowded with companies struggling to differentiate themselves commercially. AI just happens to be the clearest example right now.
The same but different
Over the past two years, artificial intelligence has experienced one of the fastest investment surges the technology sector has ever seen. The OECD recently reported that global VC investment into AI firms reached approximately $259bn in 2025, while AI accounted for almost half of all global venture funding last year.
That level of capital changes things quickly.
New entrants appear almost daily. Product development accelerates. Entire categories emerge in a matter of months. Founders race for visibility, investors search for the next breakout success and buyers attempt to keep pace with rapidly evolving technology. For a period, growth can feel almost inevitable but then the market starts crowding. We have seen this before during the fintech boom.
What we learned in fintech
Global fintech investment reached $210bn in 2021, up from $125bn in 2020 according to KPMG’s Pulse of Fintech report. New companies emerged with strong technology, ambitious founders and fresh business models. Initially, the differences between firms felt obvious but as the market matured, something important happened. The language across the sector slowly started converging.
Everyone was transforming. Everyone could reduce complexity. Everyone was simplifying. Everyone was reinventing. Everyone could reduce the costs of operation.
Sound familiar?
Eventually, buyers struggled to distinguish between providers overwhelmed by the noise, choice and highly technical new lingo. Beneath this was some genuinely helpful technology but buyers were confused.
The Commercial Cost Of Sounding The Same
This is one of the most common commercial challenges in scaling technology businesses. As capability rises across an entire sector, technology alone becomes less effective as a differentiator because buyers often lack the technical expertise, time or confidence to properly evaluate competing solutions.
So the commercial battle moves elsewhere.
Buyers increasingly judge companies through different characteristics:
- trust and credibility
- confidence in the people they meet
- consistency of communication
- perceived commercial relevance
- confidence that the company will still matter in five years’ time
This is where many AI firms now face a significant risk. A large proportion of the market currently sounds remarkably similar:
We automate workflows.
We improve efficiency.
We leverage proprietary AI.
We transform productivity.
The issue is not that these statements are incorrect. The issue is that almost everybody is making them.
AI’s double-edged sword
At the same time, AI itself is dramatically increasing the amount of content being produced. Businesses can now generate blogs, social posts and email campaigns at speed and scale. The assumption is often that increased output creates increased authority. In reality, the opposite can happen.
When every company can produce content cheaply, average content rapidly becomes economically worthless. The market becomes noisier, messaging loses distinctiveness and buyers disengage. As Seth Godin, author and entrepreneur, once said:
“The problem with the race to the bottom is that you might win.”
This is usually where commercial pressure starts appearing beneath the surface. Sales cycles lengthen, pricing pressure increases and feature comparison replaces strategic value. Companies drift into competitive anonymity and seemingly strong businesses quietly become interchangeable in the mind of buyers.
Once that happens, growth becomes harder and more expensive to sustain. Once buyers stop seeing meaningful differences, pricing power usually disappears next. We’re of the view that B2B tech marketing needs to fundamentally change.
Avoiding the slow retreat to the bland
The firms that emerge strongest from crowded technology markets are rarely the businesses talking most aggressively about the technology itself. They are usually the organisations that establish a clear market position, communicate value in commercial terms and consistently reinforce a recognisable point of view over the long-term.
Importantly, they also understand something many growing technology firms overlook. Buyers rarely buy technology alone.
They buy confidence.
They buy trust.
They buy reduced risk.
They buy belief that this company understands their problem better than competitors do.
In crowded markets, buyers often choose the company they understand most easily, not necessarily the company with the strongest underlying technology. That requires much more than technical capability. It requires thoughtful positioning, strategic consistency and a long-term understanding of the space the business wants to own in the market.
Ironically, AI may make this challenge even more important. When execution becomes easier for everyone, strategic clarity matters more, not less. However, many organisations are using AI in marketing with yesterday’s playbook. Perhaps that is the real lesson many AI firms are now approaching. As Peter Druker famously said:
“The greatest danger in times of turbulence is not the turbulence. It is acting with yesterday’s logic.”
Technology markets rarely reward the companies shouting the loudest. They usually reward the companies that buyers remember most clearly.