Amazon has pulled its internal AI leaderboard after employees began chasing usage scores, sparking a backlash over the company’s push for generative‑model adoption. The move follows complaints that the metric turned a productivity tool into a performance metric, driving staff to prioritize quantity over quality.

Senior executive Dave Treadwell addressed teams in a memo, warning that “using AI just for the sake of using AI” inflates costs without delivering value. He urged staff to focus on business outcomes rather than leaderboard points, noting that the spend on cloud services and model training has climbed sharply in the last quarter.

The decision signals a shift in Amazon’s AI strategy, tightening controls on internal experimentation to curb runaway expenses. By eliminating the leaderboard, the company hopes to realign engineering effort with revenue‑generating projects and maintain a sustainable cost structure amid rising cloud fees.

This move may prompt other tech giants to reassess incentive schemes tied to AI usage, as firms grapple with balancing innovation speed against escalating infrastructure costs.

Investors watching Amazon’s AI initiatives will now scrutinize whether the company can sustain its competitive edge without inflating internal metrics. The move also signals to stakeholders that Amazon prioritizes cost discipline, potentially influencing future budgeting decisions across its cloud and e‑commerce divisions.