How large companies implement AI: Google's average progress
The implementation of artificial intelligence within large companies follows a consistent pattern: 20% of employees actively use AI, 20% categorically refuse it, and 60% use AI tools partially. Google is approximately at the midpoint of this spectrum.
The main obstacle is an 18-month hiring freeze: without new employees, internal processes remain unchanged and companies often fail to realize how far behind they have fallen in AI adoption. For example, tools like Claude Code are not used, and Gemini lacks the accuracy required for workflows. Agent-based programming has also failed to gain traction within companies.
Conversations with dozens of other firms reveal that some have near-zero AI adoption due to lack of budget, while half have simply activated tools like Copilot or Cursor and consider the task done, although no real changes have occurred.
This situation highlights the common challenges large corporations face during digital transformation, showing that technological progress is often hampered by organizational and staffing constraints.
In the near future, AI adoption will remain uneven until hiring restrictions are lifted and corporate digital integration strategies are revised.
