Why Chatbase CEO Yasser Elsaid is Reversing His Stance on ‘Lean’ AI Teams

A Shift in Strategy

For months, the prevailing narrative in Silicon Valley has been that artificial intelligence would usher in an era of hyper-efficient, “lean” organizations. From major corporations to agile startups, the promise of AI-driven productivity led many founders to believe that smaller teams could achieve what previously required hundreds of employees. However, Yasser Elsaid, CEO of the customer-service AI startup Chatbase, is publicly challenging this trend.

Elsaid, whose San Francisco-based company specializes in building AI agents for customer support, recently announced plans to double his 40-person workforce over the next six months. This decision marks a significant departure from his previous philosophy. Earlier this year, Elsaid had touted the efficiency of maintaining a small team, noting that Chatbase operated with just 17 full-time employees for the majority of its first three years.

The Fallacy of the “Lean” Future

In a recent post on X, Elsaid admitted that his previous bet on maintaining a lean team in the age of AI was “pretty wrong.” He cautioned other founders against “living in a future that doesn’t exist yet.”

Elsaid initially believed that advanced coding models, such as Anthropic’s Claude Opus 5.5, would allow his startup to function with fewer personnel. He realized, however, that this logic only holds true if a company remains stagnant. Instead of using AI to simply reduce costs or maintain the status quo, Elsaid decided to pivot his strategy. “If building is easier, build harder things,” he stated. He argues that competitive advantages, or “moats,” in the software industry are still built by tackling difficult challenges over long periods, a reality that AI has not rendered obsolete.

The Limits of AI Independence

Elsaid’s perspective stands in stark contrast to the “tiny team” movement currently gaining momentum in the tech sector. High-profile figures like OpenAI CEO Sam Altman have speculated about the potential for one-person, billion-dollar companies, while firms like Coinbase and Block have actively restructured their workforces to favor smaller, AI-empowered teams. These companies have cited the ability of engineers to ship products in days rather than weeks as a primary driver for downsizing.

Despite these trends, Elsaid maintains that current AI models are “extremely smart and capable, but not fully independent.” He argues that while AI can generate code, it lacks the human judgment required to determine the direction of a product.

“Code is largely right or wrong: it does what you want or it doesn’t,” Elsaid explained. “But what to build, how it should work and what the experience should feel like is what makes your product different.”

Human-Centric Development

According to Elsaid, approximately 90% of the work performed by Chatbase engineers has shifted toward product-focused tasks. This includes researching market needs, engaging with customers, forming strategic opinions, and translating those insights into specifications that an AI agent can execute. The remaining work involves human oversight to ensure that various AI agents function cohesively without conflicting with one another.

Furthermore, Chatbase is expanding its customer-facing departments, including sales and customer success. Elsaid believes that enterprise clients still require human interaction to feel heard and to be persuaded, underscoring the necessity of human roles in the business process.

While Elsaid acknowledges that the landscape may evolve to a point where human involvement in the building process is minimized, he insists that such a reality has not yet arrived. For now, he is betting that the most successful companies will be those that use AI to augment human talent rather than replace it entirely.

Source: businessinsider.com