OpenAI Admits Enterprises Need Better Controls as AI Costs Surge
Source: Yahoo Finance Singapore
OpenAI has acknowledged a growing pain point for enterprise customers: AI costs are scaling faster than anyone can track. The company introduced a new Global Admin Console on June 18 that gives businesses unified visibility into ChatGPT and Codex credit usage, along with granular spend.
OpenAI has acknowledged a growing pain point for enterprise customers: AI costs are scaling faster than anyone can track. The company introduced a new Global Admin Console on June 18 that gives businesses unified visibility into ChatGPT and Codex credit usage, along with granular spend controls — a move that signals just how quickly AI token consumption has outpaced traditional procurement and finance processes.
The problem is stark. Global AI spending is projected to reach US$2.59 trillion in 2026, a 47 per cent jump from the prior year, according to Gartner. An Axios investigation found one enterprise client burned through US$500 million in a single month on AI services after failing to set a usage limit. Uber exhausted its entire 2026 AI coding budget by April, and Microsoft revoked its own developers' AI coding licences months after granting them. The root cause is token-based billing: every prompt, API call, and autonomous agent action adds to the bill, and usage often scales geometrically while budgets are set linearly.
The Linux Foundation announced plans to launch a Tokenomics Foundation to standardise how the industry measures and governs AI spend, backed by Accenture, Google Cloud, IBM, JPMorganChase, Microsoft, Oracle, Salesforce, and others. Ramp's April 2026 data shows median business AI token spend at US$2,246 per month, while the average sits at US$140,842 — a gap that reveals how one ungoverned workflow can blow a hole in any company's budget.
Why it matters for Singapore: Singapore-based enterprises are among the most aggressive AI adopters in Asia, meaning they are also among the first to hit token-spend ceilings. As local firms deploy more AI agents and embed LLMs into customer-facing workflows, the cost governance challenge will intensify. Startups and SMEs — which make up the vast majority of Singapore's economy — are especially exposed because they lack dedicated procurement teams to monitor usage. OpenAI's admin console and the emerging Tokenomics standard offer a playbook, but the onus is on Singapore's businesses to adopt them before the bills arrive.