Rippling Launches AI Spend Console After AI Costs Reached 40% of R&D Budget
Original: After Rippling blew millions on AI in months, it built an employee ROI tool
Why This Matters
Enterprises face mounting pressure to quantify AI ROI as token costs scale rapidly alongside workforce AI adoption.
HR software firm Rippling unveiled AI Spend Console on August 7, 2026, after discovering its AI token spending was on track to consume 40% of its R&D headcount budget — growing at 80% month-over-month — with one engineer alone spending $50,000 per month.
Rippling, an HR software provider, launched AI Spend Console this week, a tool designed to help companies track and control AI-related spending at the individual employee, team, and role level. The product can identify, for example, 'which engineers have high AI spend whose peers frequently ask them to redo work in code reviews,' according to the company's blog post.
The tool was born from a crisis inside Rippling itself. Chief Product Officer Matt MacInnis recalled a March executive meeting where CFO Adam Swiecicki revealed the company was on pace to spend the equivalent of 40% of its entire R&D compensation budget on AI tokens — millions of dollars — with costs growing 80% month-over-month. At that trajectory, AI token spending would reach 90% of R&D payroll within a year.
An internal audit found that roughly 10–15% of employees were driving about 60% of total AI spend, with one engineer billing $50,000 per month. Rippling responded by negotiating spending caps with Cursor, OpenAI, and Anthropic, and found that employees were defaulting to the most expensive frontier models for all tasks.
MacInnis criticized AI inference providers directly: 'They have absolutely no incentives to help you control your spend. They have every incentive for it to be a runaway expense.' Rippling now advocates using multiple models at various price points, including lower-cost options, as part of a broader enterprise AI cost strategy.