Snap and AI: Towards Smaller, Ultra-Efficient Teams

Snap Bets on AI to Restructure Its Teams

Under the leadership of Evan Spiegel, Snap has recently announced an ambitious plan to reduce its workforce by 1,000 positions. This decision is part of a broader strategy aimed at reorganizing employees into small teams, supported by artificial intelligence (AI). The goal is to maximize speed and efficiency by automating repetitive tasks through technology.

This approach is not isolated. Other major companies have also expressed interest in smaller teams, where AI plays a central role in enhancing productivity. In some cases, these statements have coincided with waves of layoffs.

• Mike Cannon-Brookes, CEO of Atlassian, highlighted in a report that AI is changing not only the type of skills required but also the number of positions needed in certain sectors.

• Mark Zuckerberg, CEO of Meta, stated during an earnings conference that projects that previously required large teams can now be accomplished by a single highly skilled individual.

This trend is not limited to tech giants. Jamie Dimon, CEO of JPMorgan, mentioned in his annual letter to shareholders that real competition is now taking place between very focused small teams.

The Rise of Startup Culture

Historically, startup founders have always prioritized agility and resourcefulness. Today, this philosophy is being adopted by well-established companies, thanks to the rise of AI. This technology allows a few individuals to accomplish tasks that previously required entire teams.

• Sam Altman, CEO of OpenAI, predicted that by February 2024, it will be possible to see companies with only 10 people achieving valuations of one billion dollars.

Small teams symbolize a shift towards flatter organizational structures, with fewer middle managers. Jack Dorsey, CEO of Block, described an ideal model where all 6,000 employees of his company would report directly to him. For his part, Andy Jassy, CEO of Amazon, noted that flattening the company's structure has improved its responsiveness.

The Limits and Risks of Small Teams

However, excessive workforce reduction can present challenges. Matt Poepsel, Vice President of Talent Optimization at Predictive Index, warns that relying solely on AI for decision-making can exacerbate personal biases, while groups provide mechanisms for checks and balances.

• "AI is designed to encourage you to use it," explains Poepsel. "That's why I call it the silicone sycophant, because it is programmed for a very different outcome."

Adopting the small team model could also harm employee morale, according to Alex Lovell, political psychologist at O.C. Tanner. Employee engagement relies on interactions with colleagues and leaders, and without this, "inspiration can erode."

Another potential downside is that small teams may restrict career opportunities, according to Soumitra Shukla, a researcher at Harvard Business School. The reduction of entry-level positions could lead to a shortage of experienced workers.

• "You don't have as many people to promote to the next level," he stated.

Moreover, young professionals may begin to doubt their ability to advance in companies adopting smaller teams. "Junior talent won't stay junior forever," Shukla added.