AI News Flash: Earlier this year, Silicon Valley saw a wave called ‘Tokenmaxxing,’ where CEOs encouraged employees to maximize AI usage as much as possible, viewing high consumption as a symbol of embracing tech actively. However, the bills followed. Uber reportedly burned through its entire annual AI budget within just a few months, far exceeding the original annual quota, forcing the company to reconsider its resource allocation. Some enterprises have started cutting Claude licensing seats, specifically targeting departments with lower AI usage or effectiveness, rather than a full shutdown. Meta directly shut down its internal AI usage leaderboard—a competitive mechanism originally designed to encourage employees to increase AI adoption, ultimately halted due to resource pressures.