
OpenAI adds flexible ChatGPT Business Premium seats
OpenAI has introduced Premium seats for ChatGPT Business, giving heavy users five times more capacity without forcing businesses into costly enterprise contracts. UK developers and marketers can now access high-capacity AI within the same secure workspace as their Standard-seat colleagues.


OpenAI has quietly changed how UK businesses can structure their AI access. On 10 August 2026, OpenAI announced Premium seats for ChatGPT Business, and the practical implication is more significant than the pricing table suggests. For the first time, a single ChatGPT Business workspace can hold two different seat tiers at once, letting companies match capacity to the person rather than the contract.
This is not a cosmetic update. It removes the binary choice that has been holding SMEs back: buy a full enterprise contract or accept throttled access for your heaviest users.
What OpenAI actually changed
ChatGPT Business now offers two distinct seat types within the same workspace. Standard seats remain priced at $25 per user monthly, or $20 billed annually. Premium seats are priced at $125 per user monthly, or $100 billed annually.
The key difference is capacity. Premium seats provide five times more usage than Standard seats. They also remove the five-hour usage limit that Standard seats carry. Both seat types sit inside the same secure workspace, so there is no administrative separation between teams.
Previously, workspace owners had a single seat type across the whole account. Scaling up meant upgrading everyone, which pushed many SMEs towards either accepting usage caps or overspending on capacity most staff would never use.
Why this matters for UK developers and marketers
AI adoption is 80% about people and process, and 20% about the technology itself. Usage caps are a people problem dressed up as a technology constraint. When a developer hits their limit mid-project, or a marketer finds their AI assistant throttled during a campaign push, the friction does not just slow output. It erodes confidence in AI tools across the team.
Developers working with code generation, debugging workflows, or documentation cycles are exactly the users who burn through Standard seat capacity fastest. A single complex codebase session can consume what a Standard user is allocated across several hours.
Marketers running content production, campaign briefing, and audience research inside ChatGPT face a similar ceiling. Reaching the usage cap at the wrong moment means switching tools, breaking concentration, or queuing tasks. Neither outcome is acceptable in a time-pressured role.
The gecco approach to AI assistant deployment focuses on matching the right capacity to the right role from the outset. Tracking usage limits manually and reviewing seat types periodically is exactly the kind of overhead that Premium seats now remove.
Three actions to take this week
1. Audit which team members are hitting usage limits most frequently. Ask developers and marketers directly. This takes under 30 minutes and gives you the data to justify a seat-type change.
2. Calculate the cost difference before upgrading. Identify the two or three heaviest users in your workspace. Upgrading only those roles to Premium seats at $100 annually is likely far cheaper than moving the whole team, or than maintaining a parallel enterprise contract.
3. Reassign seat types inside your ChatGPT Business workspace admin panel. Workspace owners can change individual seat assignments without disrupting other users. Assign Premium seats to the roles that need them and leave Standard seats in place for the rest of the team.
No additional licence or contract change is needed. The mixed-tier workspace is available to existing ChatGPT Business customers today.
Considerations and limitations
Premium seats are priced in US dollars, so UK businesses will see the cost vary with the exchange rate. Budget planning should account for this if your finance team works in sterling.
The five-times usage figure is relative to the Standard seat allowance. OpenAI has not published an absolute usage ceiling for Premium seats, so teams with very high-volume automated workflows should test capacity before fully committing.
Pricing is per user and per month. If your heaviest users are contractors or freelancers rather than permanent staff, confirm whether your workspace licence terms permit seat assignment to non-employees before proceeding.
Where to go from here
If your developers or marketers have been working around usage caps rather than through them, this update is worth reviewing this week. Taking the AI Readiness survey gives you access to 65+ free resources and a custom AI Readiness report tailored to your business. That report leads to a free 45-minute AI Readiness call to walk through your results and identify where capacity constraints are costing you most.
If you want support building AI assistants that are scoped correctly from the start, gecco's AI Assistants service matches the right tools and seat configurations to the roles that will use them most.

AI agents cut supply chain admin by thousands of hours
A logistics provider embedded an AI agent cluster into its supply chain and saved over 3,000 labour hours per month. Here is what UK operations and finance managers can learn from the approach.

Most SMEs have no AI governance policy
Three-quarters of UK SMEs have no formal AI governance policy, leaving teams exposed to data risk and inconsistent use. This article explains what good AI governance looks like in practice and how to build it.

