Google Pushes AI Adoption Beyond Engineers
Google is intensifying its push for AI adoption among employees across all departments, not just engineers, encouraging staff to leverage AI tools in their workflows. This signals that fluency with AI is increasingly seen as a core professional skill across roles. However, UC Berkeley Haas researchers found that despite promises to "free up" worker time, AI often increases work burden by enabling more tasks and raising expectations.
Google is operationalizing its AI push by integrating it into the "Googler Reviews and Development" (GRAD) performance evaluation system. For some on the sales team, this includes meeting weekly quotas for using internal AI tools, which can automatically record call notes and generate customer insights. To facilitate this, the company has deployed a suite of internal AI tools. These include "Duckie," a version of its Gemini model trained on sensitive company documents, and "Goose," an AI assistant for software engineers. Sales teams even use an AI avatar tool named Yoodli to practice their pitches before engaging with actual customers. This trend extends across Silicon Valley. Meta plans to assess employees on their "AI-driven impact" in 2026 performance reviews, and Microsoft leadership has stated that using AI is "no longer optional." Similarly, Amazon offers extensive internal AI training through its Machine Learning University and AWS Skill Builder platform. A Harvard Business Review study involving a tech company with around 200 employees reinforces the concern about increased workloads. The research found that integrating AI caused employees to extend their workdays, take on a wider variety of tasks, and experience a blurring of boundaries between work and personal time. The study observed that as AI tools were adopted, product managers and designers began writing code, while developers had to spend more time mentoring colleagues and correcting AI-generated work. This shift can lead to an initial surge in productivity followed by potential burnout and cognitive fatigue as workloads expand. In response to the need for upskilling, Google recently launched "Google Skills," a learning platform consolidating nearly 3,000 courses from Google Cloud, DeepMind, and Grow with Google. The platform is designed to help employees at all levels, from executives to new hires, develop the necessary AI skills for their roles.
