Why AI Won't Kill SaaS: Dell Technologies Capital on the Future of Startups

Daniel Docter, managing director of Dell Technologies Capital, the venture arm of Dell, told Crunchbase News that artificial intelligence is restructuring the SaaS market but is not driving its business model to extinction, and that the outcome of the AI startup race will ultimately be decided not by model quality but by distribution.

Why AI won't kill SaaS

Daniel Docter disagrees with the popular claim that artificial intelligence will destroy the SaaS model, software sold by subscription. In his view, AI changes how such software is built, how it gets its features and how it is sold, but the subscription model itself remains viable: recurring revenue, cloud delivery, and vendor-side updates.

The anxiety around SaaS has been fueled by forecasts that AI agents will assemble the software they need on the fly, making subscriptions unnecessary. In the Crunchbase News interview, Docter sees this as a change of interface, not the abolition of a market: artificial intelligence becomes a layer inside products, not their gravedigger. Companies will keep paying for software by subscription. What changes is what's under the hood and how fast it is developed, not the economics of delivery.

• Speaker: Daniel Docter, managing director of Dell Technologies Capital
• Dell Technologies Capital is Dell's venture arm, investing in deep-tech and infrastructure startups
• Main thesis: AI changes SaaS but does not kill its business model
• According to Docter, the outcome of the AI startup race will be determined by distribution, not by model superiority

What will separate the winners: distribution

Docter believes distribution, not the technical superiority of a model, will decide the fate of AI startups. He starts from the premise that access to strong models is leveling out quickly: baseline capabilities are becoming a commodity, available to many teams almost simultaneously.

The investor argues that what separates winners from losers is the ability to get a product to the customer: sales channels, integration into existing workflows, partnerships, and an already established user base. By this logic, technology can be copied, but an established sales channel and customer trust are far harder to replicate. A startup with a slightly weaker model but strong distribution will outpace a team with better technology and no route to market.

AI changes

SaaS but does not drive its business model to extinction, and distribution ultimately separates the winners from the losers among AI startups.

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Daniel Docter, managing director of Dell Technologies Capital, in an interview with Crunchbase News

How to build deep tech before the market is ready

Another topic of the interview is how to build a deep-tech startup for a market that is not yet ready to adopt it. Docter, who invests in deep technology on behalf of Dell Technologies Capital, describes the main risk for such companies: the product runs ahead of demand, and the business may not survive until the market matures.

The way out, in the investor's logic, is to survive the period of market immaturity: spend capital sparingly, find early customers with acute pain, and refine the technology so that when demand turns, the company is ready first. It is patience with an "early" market, not just the strength of the technology, that separates the survivors from those who burned out by being ahead of their time.

What this means

For AI startup founders, the Dell investor's takeaway is pragmatic: the race for the best model is not the main front. The winner is whoever builds channels for delivering the product to customers first. And SaaS as a way of delivering software, in Docter's view, will survive the wave of artificial intelligence rather than disappear under it.