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Brett Alegre-Wood with headline: Google just turned every app into an AI agent, is your business ready
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Google just turned every app into an AI agent, is your business ready?

9 March 2026Brett Alegre-Wood6 min read
AI AgentsGoogle Gemini WorkspaceAgentic AIAI Adoption UKBusiness AI ReadinessDigital TransformationAI Cybersecurity Risk
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TL;DR

Google has embedded Gemini AI agents directly into Workspace, Docs, Sheets, Drive, and Maps, making agentic AI a live reality inside the tools your team uses today, not a future option. A GITEX survey shows 43% of AI-adopting organisations have seen cyberattacks increase and 70% of leaders cannot demonstrate ROI on their AI investment. The competitive advantage no longer sits in having access to AI; it sits in strategy. If you haven't built that, you are already behind.

What just happened at Google?

Google has integrated its Gemini AI directly into Workspace, not as a chatbot in the corner, but as an agent with keys to your data. It can generate entire documents, complex spreadsheets, and presentations from a single conversational prompt. More significantly, it can take a goal, "create a marketing plan for our new product launch", go into your Drive, read the product specs, pull sales data from Sheets, analyse competitor information from your emails, and write the full strategy document. That is not a feature update; that is a digital employee.

"You spend a lot of time gathering your notes, digging through your emails... and all of that just to get to the first draft on the page. And so now, what we're doing is Gemini handles that for you.", Yulie Kwon Kim, VP at Google

Gemini isn't helping your team write documents. It is handling the entire pre-work process before they touch the keyboard.

What is agentic AI, and why should business owners care?

Agentic AI means AI that acts on your behalf towards a goal, rather than responding to individual prompts. A standard AI tool answers a question. An AI agent owns a workflow. Anil Jain at Google Cloud stated that by 2026, businesses will be connecting agents that run entire workflows from start to finish. A practical example: a customer complaint email triggers an agent that logs the issue in your project management tool, pulls the customer's CRM history, analyses the problem, drafts a response, and flags it for human approval, all without a single human click. That pipeline exists today.

What happened to Google Maps?

Google called its recent Maps update the "biggest update in over a decade." It is now a conversational AI. Instead of searching "restaurants near me, " you ask: "Where can I get a decent flat white somewhere quiet enough for a business call near my next meeting in Shoreditch?" The AI understands context and intent. Software is no longer a passive tool waiting for a command; it is an active participant in the task.

Who is building the physical infrastructure behind global AI?

The AI boom requires substantial physical infrastructure, data centres, fibre, power. That build-out is happening at scale across the Gulf Cooperation Council (GCC) countries, which are capturing a significant slice of the $270 billion in global venture capital flowing into AI.

Saudi Arabia's Humain initiative is planning to build 1.9 gigawatts of data centre capacity. One gigawatt powers roughly 750,000 homes. This is not a technology project; it is the construction of engine rooms for the next global economy. What happens in those data centres will affect how businesses in London, Sydney, and Singapore operate. The GCC is pouring concrete and laying fibre while much of the West debates regulation.

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What do the AI adoption numbers actually tell us?

The headline figures look impressive:

  • 89% of UK SMEs have adopted AI in some form
  • Singapore's government is upskilling 100,000 workers for an AI-enabled workforce
  • 75% of organisations in the GITEX UAE survey are increasing digital investment
  • $270 billion in global venture capital flowed into AI

Adoption means downloading and experimenting. It does not mean operating AI with intent, governance, and measurable return. There is a significant difference between the two, and most businesses are sitting firmly in the former camp.

Why is the readiness gap the real danger?

A GITEX survey of organisations in the UAE, a region aggressively committed to AI, reveals the internal picture:

  • 26% cite the complexity of AI technology itself as a major barrier
  • 43% have seen an increase in cyberattacks since deploying AI tools
  • 70% of leaders are under pressure to demonstrate tangible ROI on their AI spend
  • 86% of UAE leaders are concerned about storing sensitive company data in global cloud environments

A former CIA advisor has warned of an impending AI bubble, not because the technology is overhyped, but because the gap between the hype and secure, profitable implementation is widening. Businesses are writing cheques their strategy cannot cash. They have the ambition and the budget, but they lack the fundamental readiness to turn that investment into a sustainable advantage.

What does this mean for your team right now?

If your team uses Google Docs, Sheets, or Maps, they are already using AI agents. It is not an opt-in programme. It is live.

That means:

  • Your marketing assistant can generate a full campaign strategy in the time it takes to make a coffee
  • Your financial analyst can build predictive models that previously required a team of quants a month to develop
  • Your sales team can generate hyper-personalised outreach presentations for hundreds of clients in an afternoon

The question is not whether your team has access to this capability, they do. The question is whether they know how to use it effectively, understand what data they are feeding into it, and have any awareness of the security exposure.

A well-intentioned but untrained employee can accidentally feed sensitive customer data into a public AI model, creating a significant data breach. They can use an AI-generated report for a critical business decision without understanding the biases in the underlying data. These are not edge cases; they are routine failure modes already playing out in businesses that adopted fast without preparing.

Who holds the competitive advantage right now?

The edge has shifted. It is no longer in access to AI, everyone has that. It is in strategy. A lean startup with a clear AI workflow is already outmanoeuvring larger businesses still drafting a policy. They are producing marketing plans faster, building financial models more accurately, and creating more compelling sales pitches at a fraction of the cost and time.

The game has changed from a marathon to a series of sprints. If you are not aware the race has started, you have already lost ground.

What to do this week

  1. Audit your current exposure. Which Google Workspace tools does your team use daily? Every one of them now has an active AI layer. Understand what data those tools can reach.

  2. Write a one-page AI use policy. Not a 40-page compliance document, one page that answers: what tools are approved, what data can be fed in, and who signs off on AI-generated outputs before they go external.

  3. Identify your highest-value workflow. Pick one process your team runs repeatedly, a weekly report, a client proposal, a campaign brief, and map where an AI agent could handle the pre-work. Run one test this week.

  4. Brief your team on data hygiene. The cyberattack increase affecting 43% of AI-adopting organisations is not theoretical. Your team needs to know what constitutes sensitive data and where it cannot go.

  5. Assign an AI lead. Not a budget line, just a person responsible for tracking what your team is using, what is working, and what the risks are. Attention is the asset here, not headcount.

Where to from here

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Brett

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Frequently asked questions

What is an AI agent and how is it different from a standard AI tool?

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A standard AI tool responds to individual prompts. An AI agent acts on your behalf towards a goal, it can access your files, pull data from multiple sources, and complete entire workflows without step-by-step human instruction. Google's Gemini agents inside Workspace are a live example of this today.

Is Google Gemini already active inside Google Workspace?

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Yes. Google has deeply integrated Gemini into Docs, Sheets, Drive, and Maps. It can generate documents, analyse emails, pull data from Sheets, and draft full strategy documents from a single conversational prompt. It is live and on by default, not an opt-in beta feature.

What percentage of UK small businesses have adopted AI?

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According to the article, 89% of UK SMEs have adopted AI in some form. However, adoption does not equal readiness, the majority are experimenting without governance, a clear strategy, or measurable return on investment.

Why are cyberattacks increasing for businesses using AI tools?

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A GITEX survey found that 43% of organisations have seen an increase in cyberattacks after deploying AI tools. Greater automation and broader data access create new attack surfaces, meaning the tools that promise efficiency are simultaneously creating new vulnerabilities.

What is the AI readiness gap?

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The readiness gap is the difference between adopting AI tools and being operationally, strategically, and security-wise prepared to use them. The GITEX survey found 26% of organisations cite technology complexity as a major barrier, and 70% of leaders cannot demonstrate ROI on their AI investment.

What is Saudi Arabia's Humain AI initiative?

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Humain is Saudi Arabia's initiative to build 1.9 gigawatts of data centre capacity. One gigawatt alone powers roughly 750,000 homes. It is part of a broader GCC strategy to capture a significant share of the $270 billion in global AI venture capital and own the physical infrastructure of the next economy.

What should a business do first to prepare for agentic AI?

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Start with an audit of which AI-enabled tools your team already uses, then write a one-page AI use policy covering approved tools, permitted data inputs, and sign-off requirements for AI-generated outputs before they go external. Assign one person to own AI oversight, no budget required, just accountability.

Brett Alegre-Wood, founder of Anaboo
About the author
Brett Alegre-Wood

Brett is a four-time founder (Darra Tyres, Gladfish, EzyTrac, Anaboo) and the operator behind AIOS, Anaboo's AI Operating System. He writes from inside the build, installing AI in his own businesses first and reporting back what actually moves the numbers. Based between Singapore, the UK and Australia.

WE USE AI: All images are made with programmatic AI (a prompt is used rather than real photos) so when you meet Brett and the team they may look slightly different from these images. This is done to show you what's possible.

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