Amazon has discontinued its internal AI leaderboard, known as KiroRank, following revelations that it encouraged employees to artificially inflate their AI usage. The initiative, which tracked token consumption by engineering staff, was designed to monitor costs but inadvertently fostered a culture of tokenmaxxing. This trend involves performing tasks primarily to generate high token counts rather than to solve genuine customer or business problems. Dave Treadwell, a senior vice president at Amazon, addressed the issue by instructing staff to avoid using artificial intelligence for the sake of usage itself. He emphasized that the technology should be deployed to solve specific problems and drive innovation. The leaderboard was originally an informal tracker created by a group of employees rather than an official corporate mandate. An Amazon spokesperson confirmed to Business Insider that the dashboard has been deprecated. The company clarified that while they track AI usage to manage budgets, they do not encourage measuring productivity solely by volume. This decision reflects a broader shift within the technology sector. Major firms are moving away from a culture of unrestricted AI spending amid concerns that ballooning budgets are not yielding proportional returns. The Silicon Valley trend of valuing high token usage is losing favor as executives seek to justify their investments. For example, Uber COO Andrew Macdonald recently noted that the company was not seeing productivity gains that matched its increased AI expenditures. This follows viral comments from Uber's CTO, who acknowledged that the firm had exhausted its annual Claude Code budget by April. Tokens serve as the fundamental building blocks of large language models, breaking words down into numerical inputs and outputs. Their usage has surged dramatically, partly driven by the rise of agentic AI, which allows autonomous agents to operate with minimal human intervention for extended periods. In April, reports indicated that Amazon's retail business was closely monitoring how engineers utilized AI, tracking metrics such as the number of users, the frequency of tool integration, and the tangible results of these deployments. By shutting down KiroRank, Amazon aims to realign its strategy with operational efficiency and meaningful innovation. The company stated it remains focused on AI adoption and sharing best practices to celebrate genuine operational gains. Teams retain the freedom to determine how they use AI tools, but the new approach prioritizes value creation over mere usage statistics. As the industry matures, the focus is shifting from raw consumption to strategic application that delivers clear business outcomes. This move signals a maturing phase for AI integration, where accountability and return on investment take precedence over the novelty of high-volume usage.