Dots and shared AI workspaces
The broadest push towards agents that keep working across apps.
Read the signalOpenAI is pushing agents towards ongoing, collaborative work. Meta, Google and Anthropic are moving in parallel. Here is what matters if you run or buy a business.
Availability matters as much as capability when you are choosing what to test.
The broadest push towards agents that keep working across apps.
Read the signalPersonal agents moving into business distribution and hardware.
Read the signalA major model release to watch before year-end.
Read the signalAdvanced capability paired with controlled availability.
Read the signalThe headline from OpenAI's DevDay yesterday was not one model release. It was a coordinated push towards agents that can keep working, use connected software and share a workspace with people and other agents.
This is a briefing, not a verdict on which provider is best. Several announcements are claims, previews or restricted releases. The useful question is what to test in your own workflows.
OpenAI announced more than 20 updates at DevDay, with the strongest theme being collaborative work across people, agents and connected applications.
There is also an important counterpoint: OpenAI withheld GPT-6.1 Astra after safety concerns. That is separate from the GPT-6.1 Sol launch and the existing GPT-6 Astra powering Dots.
UK availability: Dots currently excludes UK users on personal Pro plans. OpenAI says Business Premium is available across supported ChatGPT regions; Enterprise access requires an administrator to enable the beta.
Meta launched Muse for Small Business on 29 September, following its consumer agent announcements and work around smart glasses and the Muse Charm device.
This is the most direct competitive pressure on Dots: personal agents expanding into business and hardware. It also points to a distribution advantage. Agents may arrive through the communication, advertising and devices a business already uses, rather than through a new standalone application.
DeepMind's chief says Gemini 4 is in refinement, targeting release well before the end of the year. There is no firm date announced.
For businesses, this is a major upcoming model launch rather than an available release. It is a reason to avoid hard-coding a long-term provider decision around today's benchmark or pricing snapshot.
Mythos 5.1, announced earlier this month, remains restricted to vetted organisations. Reuters also reports an IPO prospectus targeting a $2 trillion valuation, alongside substantial losses and cloud commitments.
The combination matters: advanced capability is arriving alongside controlled access and a huge financing push. Availability, procurement and governance may be as important to a business decision as raw model quality.
AI is moving from helping employees produce work to taking responsibility for parts of a workflow. The opportunity is greater output from the same team, but the business needs to define what AI can do, what it can access and who checks the result.
Agents could monitor incoming requests, collect information, update records and prepare exceptions for a person to resolve.
Account research, follow-up drafting and ticket handling can happen automatically, with people approving commitments.
Coding agents can investigate bugs, prepare fixes and review changes while developers focus on priorities and architecture.
Shared AI workspaces could reduce time spent finding documents, assembling updates and transferring context between teams.
Cheaper models make more tasks economical to automate. Integration, supervision and correcting mistakes still count towards the cost.
The biggest advantage will come from redesigning a few processes well. Buying licences alone will not deliver much if employees still move information manually between disconnected systems. Clean data, clear responsibilities and access to the right tools become more valuable.
The business questionCan an agent complete a meaningful part of the task through the systems you already use, with a level of authority you can accept?
Pilot one frequent, measurable workflow with reversible actions. Preparing a weekly sales report or triaging support requests is a better starting point than giving an agent unrestricted authority over payments, contracts or external commitments.
OpenAI's fundraising target is also worth separating from product news: it is reportedly seeking another $30 billion at a $1.4 trillion valuation. That is a reported fundraising target, not a completed deal.
Treat these announcements as a shortlist of things to test. They do not yet establish which supplier will deliver the best results in your business. The competitive focus is shifting towards who can reliably complete ongoing work across your apps.
Bring one workflow, one constraint and one measurable outcome. You and I can work out a sensible pilot. Start with a 30-minute call with me.