Claude vs ChatGPT vs Copilot vs Gemini: Choosing an AI work OS

Claude Cowork, ChatGPT Work, Microsoft 365 Copilot, and Google's new Gemini agent can all take on work that used to eat up days of your week. Each platform has real strengths and gaps. The teams getting results share one thing: the AI platform is connected to the tools they use most and can see the data behind them.

Without your CRM, board materials, or last quarter's forecast, you get generic answers – fine for polishing emails, useless for executive work.

Here's how the four AI work OS platforms compare, and how to pick one for you and your team.

The 4 AI work OS platforms at a glance

Pros and cons of Claude Cowork, ChatGPT Work, Copilot, and Gemini

Claude Cowork

Claude Cowork carries multi-step tasks through to finished work. Think Claude Code without the terminal, built for people who don't write code.

• Does – documents, spreadsheets, decks, and analyses with citations back to source files
• Connects to – Slack, Google Drive, Gmail, Microsoft 365, and local folders through the desktop app
• Runs – in Anthropic's cloud for new Pro and Max tasks since October 6, in beta for Team, and admin-enabled on Enterprise

Pros

• ✅ Best at deep work on real files – finished deliverables, not chat answers
• ✅ Skills let teams encode their own processes – Brainlabs wrote ~400 in four weeks
• ✅ Team is self-serve with a flat, predictable bill

Cons

• ❌ Cowork activity isn't in the Compliance API yet
• ❌ Cloud-by-default means files now leave the device
• ❌ Usage limits hit fast for heavy users
• ❌ It sits beside your productivity suite, so it's one more tool to govern

Pick it for the depth of work it finishes, not for how it fits your existing stack.

ChatGPT Work

ChatGPT Work is an agent mode inside the ChatGPT seats many companies already pay for.

• Does – documents, spreadsheets, presentations, and dashboards, with a plan mode that shows its approach before it acts
• Connects to – 1,400+ apps
• Runs – shared recurring tasks on a schedule or trigger, plus @ChatGPT inside Slack and Microsoft Teams

Pros

• ✅ Deepest connector library of the four
• ✅ Likely already in the building, so rollout is an email
• ✅ Meets people inside Slack and Teams

Cons

• ❌ Governance is lighter than Microsoft's or Google's control planes
• ❌ Fast release cadence means admins chase new toggles every month
• ❌ Like Claude, it's a separate tool on top of your suite

It's the fastest path to broad usage, with the least control over what that usage does.

Microsoft 365 Copilot

Microsoft 365 Copilot is now a family of five products. Since a September 25 relaunch, it includes Home, Chat, Cowork, Code, and Autopilot.

• Copilot Chat – drafting and research
• Copilot Cowork – background agents that complete tasks, running on Claude models
• Agent 365 – registers, secures, and monitors every agent in your tenant

Pros

• ✅ Strongest governance for E3/E5 shops already running Purview and Entra
• ✅ Agent 365 is the most mature answer to agent sprawl
• ✅ Anthropic's models inside Microsoft's controls

Cons

• ❌ $30 seat plus metered credits makes budgets hard to forecast
• ❌ Five products under one name – buyers struggle to know what they're paying for
• ❌ Publishes contracted seats, not usage – KPMG's 276,000-person rollout came with no productivity figures

Charles Lamanna, Microsoft's president of business applications and agents, summed up the split: "Copilot Chat already makes it easy to research topics and think through ideas, and Copilot Cowork allows you to take action and complete activities in the background."

Google Gemini Enterprise

Google Gemini Enterprise works on two layers, and the new one isn't GA yet.

• Gemini in Workspace – built into Gmail, Docs, Sheets, Slides, Drive, Meet, and Chat on Business Standard and up, with Workspace Studio agents on every plan
• Gemini agent – announced October 8, one agent for chat, long-running tasks, and code that also runs inside Microsoft 365 and Slack
• Coworker agents – persistent agents with their own Workspace accounts and @agents.company.com email addresses

Pros

• ✅ Gemini is already in Workspace Business Standard and up, so the incremental cost can be near zero
• ✅ Model choice – Gemini and Claude today, more to come
• ✅ Agent identity and per-project spend caps that pause an agent when hit
• ✅ Strongest data story if you run BigQuery or a lakehouse

Cons

• ❌ The Gemini agent is in private preview, and coworker agent pricing is unannounced
• ❌ Most customer metrics come from earlier Gemini Enterprise deployments, not the new agent
• ❌ No independent benchmarks yet on how reliably it finishes long, multi-app tasks

Executives told analysts to expect general availability around late October or early November. Google Cloud CEO Thomas Kurian's pitch: "You give it objectives, not just instructions."

The short version: Anthropic and OpenAI sell an agent. Microsoft sells a control plane with agents attached. Google sells the agent, the productivity suite, and the data platform underneath as one bundle.

What each AI work OS costs

Seat prices look similar. The bill doesn't, because three of the four now meter agent work on top of the seat.

A few things the table doesn't show:

• Cowork burns usage faster than chat – on Claude Team, plan for a tier above what you'd guess
• Microsoft's meter is off by default – Cowork needs an admin spending policy, and partners estimate 1–3 for a light task and $7+ for a research brief
• Google is cheapest on paper and least defined – it hasn't said how it'll bill coworker agents, which look a lot like seats

Claude Team vs Claude Enterprise for an AI work OS rollout

If Claude is on your shortlist, the plan matters as much as the product. We covered this in depth in how to choose Claude Team vs Claude Enterprise.

The short version: 

How each AI work OS handles data and agent access 

Cowork launched with a simple security pitch: data stays on the device. Since October 6, new tasks run on Anthropic's servers and pull copies of the local files they need. If you approved Cowork because data stayed local, review it again.

How all four lock down agent access

• Claude Cowork – destroy-on-exit sandboxes, connector tokens kept out of the sandbox, and Cowork events streamed to your SIEM over OpenTelemetry
• ChatGPT Work – write actions default to "always ask," with data residency across 10 regions
• Microsoft – Purview for sensitivity labels, DLP, and prompt audit logs, plus Agent 365 for agent identity
• Google – attested agent identities, per-agent audit trails, and Agent Gateway policies that block agents from restricted documents

One question for your CISO: Copilot and Gemini can both route work to Claude models, which can move data outside the vendor's own cloud. Ask each vendor exactly where it goes.

What deployment looks like at Brainlabs, RingCentral, KPMG, and SOMPO

• Claude Cowork – Brainlabs wrote ~400 employee-authored skills in four weeks and hit 91% adoption in North America
• ChatGPT Work – RingCentral turned manual launch checks into a workflow, letting one manager go from supporting one product manager to roughly 50
• Microsoft 365 Copilot – KPMG is rolling out Copilot and Agent 365 to 276,000+ people, with no productivity figures disclosed
• Google Gemini Enterprise – SOMPO built 10,000+ custom agents for its 34,000 employees

Three vendors publish workflow-level numbers. Microsoft publishes headcount.

You don't have to pick one AI work OS for the whole company

The default assumption is one platform, company-wide, chosen by IT. In practice, a lot of companies end up with two layers:

• A suite layer for everyone – Copilot or Gemini, because it's already in the license and governed by the stack your security team knows
• A specialist layer for the people who need more – Claude or ChatGPT for the exec team, product, finance, or engineering

This is common when an executive team already has Gemini in Workspace or Copilot in Outlook, and still isn't getting real work out of it. Board prep, deal memos, and pricing models still get built by hand. A Claude Team plan for 10–20 leaders, connected to the same Google Drive or Microsoft 365 files, can be running in a week without touching the company-wide rollout.

The trade-offs are real, and you should name them before you do it:

• Two governance planes. Your security team now reviews and monitors two vendors' agents and data flows.
• Two bills. You're paying for Copilot or Gemini seats you may underuse for those same leaders.
• A signal to the org. If leadership uses one tool and everyone else gets another, expect requests to follow. Decide in advance what earns a team access to the specialist layer.

Treat the exec rollout as a pilot with an exit plan: either it proves out workflows worth expanding, or it tells you the suite layer is good enough once someone builds the skills and connectors for it.

How to choose your AI work OS