Technology and Science07 August, 20262 min read
Rippling Launches AI Spend Console After Burning Millions on AI Tokens
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Rippling launched AI Spend Console to track, curb AI token spending after multimillion losses. Spent about 40% of its R&D budget on AI tokens with rapid monthly growth.
Rippling’s AI cost shock
HR software provider Rippling unveiled AI Spend Console after discovering it was burning millions of dollars on AI tokens, with spending at one point equivalent to 40% of its R&D headcount budget. In March, CFO Adam Swiecicki presented to the executive team that Rippling was on track to spend 40% of its R&D headcount budget on AI tokens, as spending grew 80% month-over-month. Chief Product Officer Matt MacInnis said, “We were incredulous,” and the company launched an urgent project to understand the spending and what it was getting in return.
Rippling’s analysis found a concentrated pattern where roughly 10–15% of employees accounted for about 60% of total AI spend, including one engineer spending $50,000 per month. To address runaway costs, Rippling built an AI gateway that routes prompts to the most cost-effective model for each task, and it reduced token spend from 40% of its R&D headcount budget to about 15%.
Gateway, incentives, and ROI
MacInnis said the inference providers “have absolutely no incentives to help you control your spend,” adding that they “have every incentive for it to be a runaway expense.” Rippling negotiated spending caps with tools including Cursor, OpenAI, and Anthropic, but found employees defaulted to the most expensive frontier models for all tasks. The AI Spend Console’s dashboards score attributes like prompts per day, work output, and spend, and Rippling says it flags employees whose AI usage may be producing low-quality work.
In July, internal usage hit 600 billion tokens, and MacInnis said the cost was only 37% of April’s because the company was “routing to the more effective models.” Rippling also designated high-performing users as “AI captains” to assist others, while extending beyond engineering remained a work in progress focused on customer onboarding teams and automating mailing data and data-reconciliation tasks.
What the tool promises next
Rippling frames AI Spend Console as a way to connect token consumption to productivity across functions, with MacInnis saying, “If we can’t do that, all bets are off on any of this stuff being available to the broader employee base.” The product is included for Rippling’s HR customers with additional usage-based costs, and it can also be purchased as a stand-alone product integrated with other HR systems. In its description of the console, Rippling says it can show which engineers have high AI spend whose peers frequently ask them to redo work in code reviews, and it maps spending at individual, team, and role levels.
Cadena 3 Argentina reports that the tool was created after an executive meeting in March where Adam Swiecicki presented figures that left directors “atónitos,” including a projection that the next year would reach 90% of what the R&D unit employees were paid in tokens. TechCrunch describes the launch as an “anti-tokenmaxxing product” that helps companies track and contain AI spending by mapping how much employees, teams, and roles are spending and whether they are producing more productivity or “AI slop.”