AutoDS was bootstrapped and eventually reached 1.8 million users, generated more than $1 billion in user revenue, and exited successfully to Fiverr. From its earliest days, the company was fast moving, the kind of place where speed was strategic and rapid implementation felt like the natural way to operate. But as Pozin's team moved from pilots to production, they learned that speed alone was not enough. AI only delivers results when the right data foundations and ownership structures are in place.
The promenade in this ski town turns into a tech trade show floor at WEF time, with the logos of prominent software companies and consulting firms plastered to shopfronts and signage touting various AI products. But while last year's Davos was dominated by hype around AI agents and overwrought hand-wringing that the debut of DeepSeek's R1 model, which happened during 2025's WEF, could mean the capital-intensive plans of the U.S. AI companies were for naught, this year's AI discussions seem more sober and grounded.
It was a distinctly clever, if somewhat surprising, choice from Altman who has mostly kept his personal life out of the media spotlight. But Altman is a salesman, and a good salesman understands the optics of good television. So he talked about being a dad and being worried that his son-who wasn't crawling at six months-was developing slower than other children (spoiler: he's not). "I cannot imagine having gone through, figuring out how to raise a newborn without ChatGPT," Altman told Fallon. "People did it for a long time, no problem. So clearly it was possible, but I have relied on it so much."
What we found is that employees want about five hours of hands-on training, and coaching, and mentoring. Only about a third are actually getting that.
On paper, it looked a lot like entrepreneurship: validate an idea, conduct research, raise or allocate funds, build capabilities, codify processes, launch SaaS platforms, measure value creation, and implement a communication plan. In practice, it was very different. Big organizations are optimized for productivity and predictability, not the full lifecycle of experimentation that product building requires. That law of nature creates a constant source of friction between innovation and day-to-day business.
While banks announce AI deployments and digital transformations, the real platform shift is happening through something more mundane: solving customer servicing headaches one API call at a time. Banks have a servicing problem masquerading as a platform opportunity. You won't read the evidence in their press releases, but you can see it in how they're actually solving operational friction for business customers who want banking to work well.
Rather than pursuing massive, resource-intensive AI initiatives that take years to deliver, Huss argues for Minimum Viable AI - a pragmatic approach that focuses on getting functional, well-governed AI into production quickly. It's not about building the flashiest model or chasing state-of-the-art benchmarks; it's about delivering something useful, measurable, and adaptable from day one.
Wells Fargo's adoption of Google Agentspace marks a bold step forward in making banking simpler and smarter—for our customers and employees. By leveraging advanced agentic AI capabilities, we can get answers and insights faster, work more efficiently, and free up time to focus on what matters most: helping people reach their financial goals.
