Meet the speakers: Who is taking the stage at the TNW, Oneflow & Flexas gathering in Amsterdam?

Generative AI has shifted from adding features to becoming a foundational component of SaaS products. Competitive advantage will come from rebuilding product design, go-to-market strategy, and operations with the assumption that the model is part of the company rather than an add-on. Key areas include which internal functions are redesigned first, which are redesigned last, and which become irrelevant. The discussion also focuses on what becomes a durable competitive moat versus what turns into commodity. Pricing, packaging, and unit economics will change, affecting how investors evaluate performance. A further challenge is avoiding “demo AI” that performs well in short showcases but fails to deliver real customer value in production.

"There is a moment, somewhere between the third and the fourth AI feature release of the quarter, when even the most enthusiastic founder begins to wonder whether anyone is actually buying any of this."

"Generative AI has moved from feature to substrate. The interesting work, the work that decides who survives the next two years, is no longer about adding an assistant to a sidebar. It is about rebuilding product, go-to-market, and operations around the assumption that the model is part of the company, not a bolt-on."

"Three threads will run through the conversation. Which functions inside a SaaS company get redesigned first, which get redesigned last, and which quietly become irrelevant. What turns into a competitive moat in an AI-native world, and what slides into commodity."

"Threaded through all of it is a fourth question, which most founders are quietly trying to answer: how do you avoid shipping demo AI, the kind that wows in a thirty-second video and disappoints in production, instead of real customer value?"

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