Quick Facts
- 1Password launched AI Spend and Consumption Management on July 14, 2026, covering OpenAI, Anthropic, and Cursor inside its SaaS Manager platform.
- Uber exhausted its entire 2026 AI budget by April after Anthropic’s Claude Code spread across roughly 5,000 engineers faster than finance teams anticipated.
- Gartner projects AI coding costs will overtake the average developer’s salary by 2028 due to rising token consumption.
1Password added AI cost management to its SaaS Manager platform on July 14, targeting what the company calls the next major enterprise budget crisis: uncontrolled token spend on large language models.
The new capability, called AI Spend and Consumption Management, aggregates token usage and costs from OpenAI, Anthropic, and Cursor into a single dashboard. IT and finance teams can set vendor-level spend limits, configure alert thresholds, and break down consumption by team, user, vendor, and model. The system captures usage whether a human or an AI agent generated it.
1Password CFO Greg Henry told VentureBeat the problem is structural. “Developers are consuming tokens at a pace that traditional budgets weren’t built to manage, and IT and finance teams are being asked to forecast and justify AI investments without a clear view of what’s actually driving costs,” he said.
The scale of the problem is visible in recent headlines. Uber burned through its full 2026 AI budget by April after Claude Code spread across approximately 5,000 engineers. The company ranked engineers on internal leaderboards based on Claude Code usage, which accelerated token consumption without any corresponding budget oversight. CTO Praveen Neppalli Naga said the company was “back to the drawing board” on its financial assumptions.
Microsoft’s Experiences and Devices division stopped using Claude Code internally by June 30, 2026, shifting developers to GitHub Copilot CLI after token spend exceeded the team’s annual AI budget. One unnamed organization reportedly spent half a billion dollars in a single month after failing to set usage limits on its Claude licenses.
Henry drew a sharp contrast between traditional SaaS pricing and token-based models. “SaaS is deterministic in terms of the way it works and the costs. Token-based pricing just flips that because consumption is unpredictable. It can spike in ways that traditional budgets were never built to absorb,” he told BankInfoSecurity.
The data backs his concern. Gartner analyst Nitish Tyagi warned that organizations are “underestimating the financial impact of rising token consumption” as AI coding agents move from experimentation to scaled deployment. Gartner Peer Insights data shows 23% of tech leaders currently spend $200 to $500 per developer per month on AI tokens. Six percent of organizations report token spend above $2,000 per developer per month. In extreme cases, monthly AI coding bills can reach $20,000 per developer.
Goldman Sachs projected in May 2026 that global token consumption will multiply 24 times between now and 2030, reaching 120 quadrillion tokens per month. Google processed 3.2 quadrillion tokens in May 2026, up from 480 trillion in May 2025, a sevenfold increase in one year. Zylo’s 2026 SaaS Management Index found AI-native application spend surged 393% year over year at organizations with more than 10,000 employees.
1Password CEO David Faugno framed the release as part of a broader governance problem. “Runaway costs with unclear ROI and security risks resulting from ungoverned access by users and their agents are concerns we hear from nearly every customer we speak with,” he said.
The company chose its three launch vendors based on customer demand. Henry said Anthropic, Cursor, and OpenAI represent the highest adoption among enterprise customers and the fastest-moving token consumption.
On automatic spend enforcement, Henry said 1Password is “actively evaluating” the capability but emphasized a sequenced approach. “You can’t enforce what you can’t see,” he said.
Henry also signaled that the problem will spread beyond AI-native tools. As traditional SaaS vendors add AI features, their pricing models will shift toward consumption-based structures, and companies without spend discipline today will face a broader reckoning across their entire software portfolio.