"Many firms have taken to tracking individuals. At JPMorgan, the firm monitors dashboards displaying tens of thousands of users' AI-related activities, letting employees compare themselves with their peers. At Meta, the social media giant is installing software on US employees' computers to track keystrokes and mouse movements in order to train its AI, Business Insider reported last month."
"At Goldman Sachs, Chief Information Officer Marco Argenti is focusing on evaluating teams' velocity with AI tools rather than zeroing in on the metrics of individual users, which he says can result in "missing the forest for the trees." Argenti, who oversees roughly 12,000 engineers, is steering the firm through a rapid shift as AI reshapes how developers create software."
"He's focused on how quickly Goldman's engineers move from idea to production, and whether their output is actually improving how long it takes to go from an innovative idea to a product that's ready for rollout. While Goldman can access data on individuals' use of tools, including its AI products, the firm is more focused on taking a cross-team view to speed up project timelines, perform quality control assessments, and track AI token consumption for budgeting."
"The bank hasn't built tracking dashboards to enforce AI usage for developers to actively compare their adoption rates to their colleagues."
Goldman Sachs is shifting focus from individual monitoring of AI usage toward evaluating teams’ velocity with AI tools. Other firms track large numbers of employees’ AI-related activities through dashboards or install software to capture keystrokes and mouse movements for AI training. Goldman’s approach centers on how quickly engineers move from idea to production and whether output improves the time required to deliver products ready for rollout. The firm uses cross-team views to speed project timelines, perform quality control, and track AI token consumption for budgeting. Although individual tool-use data is available, Goldman does not build dashboards that force developers to compare their adoption rates with colleagues.
Read at www.businessinsider.com
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