OpenAI tests merged ChatGPT Chat and Work as usage costs draw scrutiny

OpenAI is preparing a small test that would fold ChatGPT’s quick-answer Chat mode and its Work agent into a single interface. According to an email seen by BleepingComputer, the company will first try the merged setup with a limited group of users. The aim is simple: people should move from a question to a finished project without switching screens.

One chat, two modes

Chat is still the place for fast questions and brainstorming. Work handles longer jobs, such as research, spreadsheets, reports, presentations and published Sites. Users can upload files, connect plugins and watch the agent as it works. The planned merger would put those controls into one conversation. Codex will remain a separate product.

That sounds convenient. It also raises a practical question. How much of a user’s allowance will a longer task consume? OpenAI already shares an allowance between Work and Codex. Users can buy credits when included usage runs out. Faster output costs more. On the Pro $500 plan, Ultrafast uses included usage at eight times the standard rate. After that, it draws credits at six times the standard rate.

Anthropic moved first. On September 16 it said Cowork and chat were merging into one Claude. The unified experience began rolling out to Pro, Max and Ultra subscribers. Enterprise followed on October 23, with Team and Free plans still to come. Anthropic also introduced Claude Docs and Slides for editing documents and presentations. ChatGPT Work offers similar features, including published Sites.

Allowances become the story

More changes are due in December. Plus, Pro and Business subscribers will share a token-based allowance across ChatGPT and Codex. Instant chat will not count toward that limit. Users will be able to check remaining allowance and reset times under Settings > Usage. The move follows OpenAI’s October 29 decision to double Work and Codex allowances for Pro $100 and $500 subscribers. Affected Pro $200 accounts also received higher limits.

Price predictability could be decisive. Some Codex users complained that allowances appeared to drain unusually fast. OpenAI executive Thibault Sottiaux disputed claims of undisclosed cuts. Kingy AI first called the claims supported but unproven. It later changed its assessment to partly confirmed and said a blanket cut was unproven after acknowledging cache-efficiency problems.

Adoption still trails spending forecasts

The stakes are growing. Gartner expects spending on AI agents and assistants to rise from $29.2 billion in 2026 to $65.5 billion in 2027. Total AI spending could reach $2.67 trillion this year, up 49.5%. Adoption remains uneven. An IDC study of 1,900 organizations found only 3.1% at the highest AI-maturity stage. Another 61.3% were in the two earliest stages.

For buyers, predictable costs may matter as much as agent capability. The merged interface could make work feel smoother. It could also make costs harder to ignore.