Rippling Launches AI Spend Console After Token Burn Shock
AI-generated image · Bay Street Wire
The HR software provider is targeting 'tokenmaxxing' with a new tool to track employee productivity against massive AI costs.
Rippling has released AI Spend Console, a product designed to help companies monitor and limit AI expenditures, as TechCrunch first reported. The tool allows management to map spending by individual employees and teams to determine if the investment is driving productivity or creating "AI slop."
According to TechCrunch, the product follows a period of unchecked spending at Rippling. In March, CFO Adam Swiecicki informed the executive team that the company was on track to spend as much on AI tokens as 40% of its R&D headcount budget. Spending was increasing by 80% month-over-month, and analysis revealed that roughly 10% to 15% of employees drove 60% of the total spend, with one engineer costing $50,000 per month.
Chief Product Officer Matt MacInnis told TechCrunch that inference providers like OpenAI and Anthropic have no incentive to help customers control costs. Rippling discovered employees frequently defaulted to the most expensive frontier models for simple tasks. To combat this, the company negotiated spending caps with OpenAI, Anthropic, and Cursor.
CEO Parker Conrad noted that internal benchmarks showed Z.ai’s GLM 5.2 offered nearly identical performance to frontier models for coding tasks while being 85% cheaper. By implementing an AI gateway to route prompts to more cost-effective models, Rippling reduced its token spend from 40% of its headcount budget to about 15%. MacInnis noted that while token usage remained high—hitting 600 billion tokens in July—the cost was only 37% of what was spent in April.
AI Spend Console is available to Rippling HR subscribers or as a standalone product. MacInnis warned that if companies cannot link token consumption in G&A and customer-facing functions to productivity, broad employee access to AI may be restricted.