According to a survey by AI consulting firm Section cited in a report from The Wall Street Journal, about 42% of technology workers said their managers expected them to incorporate AI into daily tasks as of last October. This marked a notable increase from 32% reported just eight months earlier. The same report noted that nearly half of tech and telecom companies are already seeing measurable returns from generative AI investments. In addition, leaders at Google and Microsoft have previously indicated that roughly one-quarter to over one-third of newly written code within their organisations is now generated by AI.
Amazon monitoring AI engagement
Within Amazon, particularly its cloud division Amazon Web Services, managers overseeing software engineers reportedly have access to dashboards that display how actively employees interact with AI tools. While AI usage is not formally included in performance ratings, it can influence advancement decisions as leaders observe which team members are effectively integrating AI into their workflows. Company representatives say the focus remains on encouraging adoption and sharing best practices that drive innovation and efficiency across teams.
Google linking AI to evaluations
Google has begun incorporating AI usage into performance reviews for software engineers this year for the first time. The importance assigned to AI adoption varies by team, role, and managerial judgment, and supervisors are not obligated to include it. Nonetheless, the company continues to promote AI use across all job functions and seniority levels.
Meta revises review framework
Meta has also adjusted its performance evaluation system to reflect AI engagement. The updated approach can measure the extent to which engineers rely on AI assistance when writing code and provides employees with analytical insights into their productivity and output.
Microsoft adding AI discussions to feedback
At Microsoft, managers are reportedly integrating AI-related questions into performance conversations. Employees may be asked to explain how AI tools fit into their workflows and to demonstrate the impact these tools have on efficiency or results.
Salesforce tracking AI fluency
Salesforce has introduced an AI proficiency tracker within its internal dashboards. Rolled out late last year, the system embeds AI into everyday processes - from submitting leave requests through AI agents to completing performance reviews with AI assistance.
According to Joe Inzerillo, the company closely monitors adoption metrics, emphasising that employees who fail to use AI risk falling behind in productivity.
Adoption challenges remain
Andrew Anagnost, chief executive of Autodesk, noted that encouraging widespread AI adoption has not always been simple. Early barriers included restricted access to certain tools, which sometimes led employees to use AI solutions without formal approval.
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