The AI Startup Boom: What It Means for Swiss SMEs

29,700 new businesses per month, a 17% increase year over year, and in knowledge-intensive professional, scientific and technical services specifically, a 45% jump since November 2022 — the month ChatGPT launched. These are not speculative figures; they come from the US Census Bureau's own projections. And they answer a question few Swiss decision-makers have asked themselves yet: what if the biggest lever for entrepreneurial growth is no longer capital, but access to AI?

The US startup boom, in numbers

The US Census Bureau projects overall business formation growth of 20% — solid, but not remarkable on its own. What is remarkable is the sector breakdown: professional, scientific and technical services are up 45% since the ChatGPT launch, equivalent to roughly 5,000 new firms per month, or +24% year over year. By comparison, construction — a classically capital- and labour-intensive sector — grew by just 10%. That gap is not a coincidence. It shows precisely where AI acts as a productivity lever, and where it does not.

Knowledge work compresses dramatically with AI tools: consulting, software development, marketing, financial planning — tasks that once needed a team and months of work can now be done by a single AI-savvy person with the right tools in a matter of days. Building, pouring concrete, laying pipe, on the other hand, remains physically bound. This asymmetry is exactly why US business formation is concentrating so heavily in knowledge-based services.

Switzerland is catching up — with its own record

Switzerland is showing momentum too, albeit with characteristically understated communication: according to IFJ, 55,654 companies were founded in Switzerland in 2025 — a 5.1% increase over 2024 and 34.7% over 2015. That is a record. Unlike in the US, this rise cannot be attributed directly to AI, but the underlying mood fits the pattern: there has rarely been a better moment to found a company or reposition an existing SME.

A look at Germany adds further evidence for the psychological dimension of this trend: according to the LinkedIn Work Change Report, 23% of respondents there are planning to start their own business, 30% say AI gives them the confidence to do so, and 55% of small business owners say leadership feels easier thanks to AI. This matches an observation we repeatedly encounter with Swiss clients too: AI is changing not just what is possible, but who believes they can attempt it.

The 100,000-euro moment: a structural shift

What makes these numbers tangible is an effect our partner aptly describes as the '100,000-euro moment': a custom business application that once required a six-month development cycle and a six-figure budget can now be prototyped with modern AI tools like Cursor in roughly ten minutes. That is not a gradual improvement — it is a shift in cost structure by orders of magnitude, and it strikes at the very core of what has held entrepreneurship back until now: the high fixed costs of getting started.

What this means concretely for Swiss SMEs

For Swiss entrepreneurs, and equally for the leadership of established SMEs, three very concrete consequences follow. First: custom software is no longer an investment decision that requires months of lead time — it is an operational lever you can pull this week. Second: no-code automation increasingly replaces the need to build an in-house tech team, a substantial advantage particularly for businesses without an IT department. Third, and most important: the much-lamented skills shortage becomes an opportunity rather than a growth constraint, if it is used as an occasion to reorganise work rather than simply searching for more people who do not exist in the market anyway.

What this shift looks like in practice is described in detail in our article on treating AI as leverage rather than headcount, which argues for moving from the logic of 'more hours equals more output' to the logic of 'one lever moves a great deal.' This exact mindset shift will separate SMEs that grow linearly from those that scale exponentially over the coming years.

Why now is the right moment

An additional factor is accelerating this development: the cost of AI models keeps falling while their capabilities keep expanding. The short version: what is already affordable today becomes cheaper still tomorrow, while competitors who wait find the gap impossible to close. Swiss SMEs that start now build a lead that grows larger with every price drop, not smaller.

For that lead to actually materialise, though, more is needed than simply purchasing an AI tool. As our partner rightly points out in its analysis on treating AI in the mid-market as a management issue, many initiatives fail because they are handled as IT projects rather than leadership tasks. The US startup boom demonstrates the opposite: it is individuals and small teams with entrepreneurial ownership who are driving the transformation there, not IT departments.

Avoiding the pitfalls

Enthusiasm for AI-driven entrepreneurship should not obscure the risks that particularly affect Swiss SMEs in international competition. Data protection, over-reliance on a single vendor, and unrealistic expectations about speed rank among the most common stumbling blocks. Those looking to address these systematically will find a thorough discussion of the three biggest mistakes Swiss companies currently make in AI strategy for Swiss SMEs in the global race.

Conclusion: from linear to exponential growth

The US startup boom in knowledge-intensive sectors shows where things are heading. Switzerland's own record year in 2025 proves the underlying mood is right here too. What is missing now is neither capital nor courage — it is consistent execution: treating AI not as a peripheral tool, but as a structural lever that determines the speed of growth. Companies that fail to pull this lever within the next twelve to twenty-four months risk falling behind competitors who do — not because those competitors are smarter, but because they started earlier.