News analysis | 11 October 2026
Google Gemini Agent is moving Google’s AI ambitions beyond answering questions and drafting emails. Announced at Gemini at Work on 8 October, the new workplace agent is designed to take an objective, work across business systems, coordinate other agents and return completed work.
Google’s pitch is simple: instead of asking AI how to prepare a report, ask it to prepare the report.
For Australian businesses, the question is no longer just whether AI can write convincingly. It is whether companies are ready to give software the access, permissions and responsibility needed to do work.
There is already a local example worth paying attention to. In its launch announcement, Google said Australian retail group Wesfarmers is deploying AI agents across its portfolio, and credited an internal Bunnings agent with saving staff 500,000 hours of administrative work. Google also said shopping agents helped Kmart and Officeworks lift conversion rates by as much as three times. Those are Google-reported customer results, not independently audited outcomes, and they do not establish that the newly announced universal Gemini agent produced those figures.
Still, they make the Australian relevance difficult to dismiss. AI agents are not just an overseas Silicon Valley experiment.
What is Google Gemini Agent — and what is new?
Google Cloud describes Gemini Agent as a universal workplace agent that can answer questions, research information, create documents and media, write and run code, and complete multi-step assignments from a single interface.
It can work with Google Workspace tools such as Gmail, Docs, Drive, Sheets, Slides, Chat and Calendar. Google also describes connections to Microsoft 365, Slack, Jira, Salesforce, ServiceNow, databases and developer tools.
The distinction is between generating a response and carrying out a workflow.
A conventional chatbot might explain how to compile a monthly sales report. An agent connected to authorised business systems could potentially retrieve the data, analyse the changes, build a spreadsheet, draft a presentation and deliver the materials for review.
That is Google’s proposed workflow, not a claim that the agent will always complete it accurately or without supervision. Independent evidence of its reliability on lengthy, real-world assignments remains limited while the product is in preview.
Google’s official Gemini at Work announcement sets out the capabilities and examples.
The Australian story starts with Bunnings, Kmart and Officeworks
Many AI announcements promise to save time without showing what that means outside a demonstration. Google offered a more tangible Australian reference point in Wesfarmers.
The company owns familiar retail businesses including Bunnings, Kmart and Officeworks. According to Google’s announcement, its agent deployments span internal administration and customer shopping experiences.
The reported half-million hours saved at Bunnings is a striking number, but it needs context. Google has not provided enough public detail in the launch announcement to establish the measurement period, baseline or independent verification. Nor should existing Wesfarmers deployments be confused with general availability of the brand-new universal Gemini Agent.
Even with those qualifications, the example reveals where the industry sees value: not necessarily in replacing an entire job, but in reducing the repetitive coordination and information retrieval that fill a working day.
For an Australian retailer, that might mean gathering stock information and preparing operational summaries. For a small consultancy, it could mean assembling project updates. For a logistics business, it could mean reconciling status reports across systems.
Those are illustrative scenarios, not claims that any named Australian company has implemented each workflow.
Google wants an AI coworker with its own email address
One of the more consequential ideas in the announcement is the coworker agent.
Google says organisations will be able to configure persistent AI team members with their own Workspace identity, including an email address, calendar, Drive storage and company-directory presence.
Colleagues could assign tasks by mentioning the agent in a chat or sharing a document with it. Google says those agents will operate under their own identity rather than impersonating a human employee, with activity attributable to the agent.
That design addresses a real problem. When software sends a message, edits a document or updates a business record, organisations need to know who or what took the action.
But a separate identity does not eliminate the need for human responsibility. If an agent sends the wrong client document, makes a flawed financial calculation or acts on outdated information, the business still needs clear ownership of the outcome.
In a world of digital coworkers, accountability becomes a management issue, not just a software feature.
Could Gemini Agent work across Australian offices?
Google is not restricting the concept to companies that run entirely on Google software. Its announced integrations include Microsoft tools, Slack, enterprise databases and other third-party services.
That matters in Australia, where workplaces often mix Google services, Microsoft 365, specialist industry software and older internal systems.
Consider a marketing team using Google Drive for creative files, Microsoft spreadsheets for reporting and Slack for communication. An authorised agent that can follow a task across those systems could reduce manual handoffs.
Or consider a professional-services team preparing a client update: one person currently gathers correspondence, checks project milestones, assembles figures and writes the first draft. Google wants that person to delegate more of the preparation while retaining review and approval.
But integration is not the same as permission. An agent should not automatically see every file simply because a connector exists. The usefulness of the technology depends on how carefully access is configured.
The biggest risk is giving AI access to the wrong information
Google emphasises enterprise security, access controls, audit trails, isolated execution environments and policies governing which systems an agent can use.
Those safeguards are central to the product. They are also a reminder of how much trust an organisation must place in an AI system that can act rather than merely advise.
An assistant that drafts an inaccurate sentence creates an editing problem. An agent that acts on inaccurate information can create an operational problem.
Australian organisations considering AI agents should ask practical questions before deployment: which data can the agent access, who approves consequential actions, how are mistakes detected, what logs are retained, and can access be revoked quickly?
Businesses dealing with customer information, confidential commercial records or sensitive health data have additional reasons to proceed carefully and assess their applicable privacy, security and sector obligations.
We previously covered Google’s warnings about the emerging risks of agentic AI and cybersecurity. Those concerns become more immediate as agents gain access to real business systems.
One surprising feature: Gemini Agent can use Claude models
Google says the new agent can select from its Gemini model family and Anthropic’s Claude models, with support for other models planned.
That is strategically significant. Rather than insisting every task use a Google-built model, Google is positioning the agent itself — its memory, permissions, tools and connections — as the product businesses stay with.
For customers, the potential benefit is flexibility: a system could choose a less expensive model for a straightforward task and a more capable one for a complex assignment, subject to company policy.
Google also announced model-routing and spending controls. Those matter because long-running agents can consume computing resources while people are doing other things.
The unresolved question is what it will cost businesses to operate persistent digital coworkers at scale. Google has not yet fully detailed every possible licensing and usage charge.
Is Google Gemini Agent available in Australia?
Not as a general public release. As of 11 October 2026, the new universal Gemini Agent is in private preview for selected enterprise customers, according to reporting by VentureBeat, which confirmed the status with Google.
Google has not announced a general Australian release date for the new agent. Businesses may already use other Gemini, Google Workspace and Gemini Enterprise capabilities, but those existing products should not be mistaken for access to the newly announced universal agent.
Google has indicated that the agent will be incorporated into Gemini Enterprise for eligible customers when availability expands. However, details around some persistent-coworker licensing and usage costs remain to be clarified.
Anyone promising that every Australian office can activate the new agent today is getting ahead of the rollout.
Will Google Gemini Agent replace office jobs?
It is too early to draw that conclusion from a product announcement.
The technology could reduce time spent gathering information, preparing drafts, formatting reports and coordinating routine tasks. Whether that leads to better services, fewer administrative hours, changed job descriptions or reductions in staffing will depend on how individual organisations deploy it.
There is also work that should not be delegated without meaningful oversight: decisions affecting people, confidential disclosures, regulatory judgements and actions that are difficult to reverse.
Google’s launch suggests that the immediate workplace challenge may be learning how to supervise AI systems that perform a series of tasks, rather than checking a single generated answer.
That calls for a new kind of digital literacy: employees need to know what the agent can access, what it has actually done, and how to verify its output.
The real competition is over who controls the work
Google is entering a crowded race. Microsoft, OpenAI, Anthropic and other companies are also building systems that connect AI to software and allow tasks to continue beyond a single conversation.
The companies may differ in models, interfaces and integrations, but the direction is similar: move from a chatbot that offers help to an agent that performs a job.
For Australian businesses, the most useful question is not which company has the most impressive launch video.
It is whether an AI agent can reliably save time without creating new risks, hidden costs or extra work checking its mistakes.
The Bunnings example shows why organisations are interested. The private-preview status shows why the wider story is still developing.
Google Gemini Agent may eventually become a familiar office colleague. Before that happens, Australian workplaces will need to decide exactly what they are comfortable letting that colleague do.
Sources and reporting: Google Cloud, Gemini at Work 2026 (8 October 2026); VentureBeat reporting on private preview, controls and pricing questions (8 October 2026); TechCrunch coverage of the launch (8 October 2026). Wesfarmers performance claims are attributed to Google. The new agent has not been independently tested by The Tech Boom. Featured image: Jo Lin / Unsplash, illustrative, not a product screenshot.
