The best AI talent won’t wait around for bureaucracy.
The AI talent market is starting to look more like professional sports: drafting, developing, and retaining top players rather than using conventional hiring practices.
Elite AI researchers are moving between rival labs for massive pay packages, helping hyperscalers build superteams to develop leading LLMs and AI products.
Google DeepMind, once a leading destination for many AI researchers, is losing top talent to rival labs, especially in Europe.
Here’s what the AI talent wars teach founders
Here’s what the AI talent wars teach founders about retention, how to pivot if you lose top talent, and retention optimization strategies to keep your best talent happy and continuing to build your company.
Refreshed leadership advice from CEO Stephanie Mehta
An Inc.com Featured Presentation
Excessive bureaucracy is a retention killer
These days, top talent has options, and different generations in the workforce view their roles differently. Millennials and Gen-Z prioritize autonomy, flexible work, and less bureaucracy, and they’re quick to leave a company that doesn’t provide what they value.
The data shows that while OpenAI and Anthropic are gaining in the AI talent market, Google DeepMind and Meta are losing to their rivals. Google DeepMind has experienced a drop in regional market share and high-profile departures of foundational leaders and researchers, such as Jeff Dean, Oriol Vinyals, and Quoc Le.
Top researchers and engineers grew frustrated by the layers of bureaucracy at Google DeepMind and a shifting power dynamic that centralized control in Mountain View over their global bases.
Source: www.inc.com
