Google’s Gemini 3 is ‘Faster Than Ever Before’: Is AI Replacing Humans Sooner Than We Think?

KEY POINTS Google launches Gemini 3, its fastest and most advanced AI model with major upgrades in reasoning and multimodal skills. New agentic features let it perform multi-step tasks, from coding apps to organising emails and planning errands. Experts say it boosts productivity but doesn’t replace humans yet, as it still requires oversight and human judgment. Google has officially unveiled Gemini 3, calling it its ‘most intelligent model’ so far, and the next big step on its path towards more general AI. The new system builds on Gemini 1’s multimodal skills (reading text, images, audio and video) and Gemini 2’s reasoning and tool use, then folds everything into a single upgraded model that is now rolling out across Search, the Gemini app, Workspace, Cloud and developer tools. Alphabet and Google chief executive Sundar Pichai says Gemini 3 is arriving ‘faster than ever’ thanks to Google’s integrated AI stack, from its chips and infrastructure to its models and consumer products. According to Google, more than 650 million people already use the Gemini app each month, over 2 billion users see AI Overviews in Search, and around 70% of its Cloud customers are using AI features figures the company is now positioning as the foundation for a rapid Gemini 3 rollout. Under the hood, Gemini 3 Pro scores state-of-the-art results on a range of technical benchmarks, including complex reasoning tests in science, maths and general knowledge. Google says it outperforms its previous flagship, Gemini 2. 5 Pro, on all major benchmarks, including multimodal exams that mix images and text. However, ‘faster’ here is less about instant responses and more about getting new capabilities into products at scale. Early independent reviewers note that while everyday prompts feel broadly comparable in speed to rival chatbots, Gemini 3’s most powerful ‘Deep Think’ reasoning mode and very long-context calls can actually be slower, trading speed for more careful analysis. READ MORE: Elon Musk Breaks Silence On Google’s New Gemini 3 AI, Responds to Sundar Pichai READ MORE: Apple Told To ‘Kill Siri’ And Install Google Gemini AI Ross Gerber’s Bold Call For User-Change From ‘Vibe Coding’ to Gemini Agent: How It Changes the Way People Work Where Gemini 3 feels most different is not in chat-style answers, but in how it behaves as an assistant that can actually do things. In the Gemini app, Google says replies should now feel more concise, better formatted and more context-aware, with the model able to understand images, long documents, lecture recordings and handwritten notes more reliably than before. For developers and technical workers, Gemini 3 leans heavily into what Google calls ‘vibe coding’ using natural language to iteratively build and refine websites, apps, visualisations and even 3D scenes. Benchmarks like WebDev Arena and SWE-bench suggest the model is significantly stronger at writing and fixing code, and at acting as a semi-autonomous coding agent that can operate terminals and tools. To support that, Google has launched a new ‘agentic’ development environment called Google Antigravity. Instead of just answering coding questions, Gemini 3 can plan a software task, edit code, run commands in a terminal and use a built-in browser pane to check that the app it has written actually works all in one interface. For everyday users, the clearest glimpse of AI-as-agent is ‘Gemini Agent’, an experimental feature that can carry out multi-step tasks using Gmail, Calendar and other Google services. Google gives examples such as asking it to ‘organise my inbox’ or ‘find and help book a hire car for under $80 a day using my flight details’, after which the agent will search your email, compare options and prepare bookings for you to approve. Search is getting a similar upgrade. In AI Mode, Gemini 3 can now build dynamic interfaces on the fly, from interactive physics simulations to bespoke loan calculators, rather than just showing a block of text. That means the model is not only answering your question, but designing small tools and visual layouts to help you explore the answer more deeply. These changes point to a clear direction of travel: instead of being a passive chatbot, Gemini 3 is meant to be an active co-worker that reads, writes, codes and clicks on your behalf. Is Gemini 3 Replacing Humans Sooner Than We Think? The short answer is: not yet but it is accelerating how quickly certain tasks can be automated or offloaded. On the one hand, Gemini 3’s new ‘agentic’ skills are exactly the kind of capabilities that worry people in fields like software engineering, customer support, administration and research. If an AI can already read your emails, draft replies, plan a trip, build a prototype app and generate interactive simulations, it is reasonable to ask how many of those steps will still need a human in the loop in a few years’ time. On the other hand, even Google’s own messaging frames Gemini 3 as a ‘thought partner’ and assistant, not a drop-in replacement for employees. The most powerful modes, such as ‘Deep Think’ and fully autonomous coding agents, are being rolled out cautiously, with extra safety testing and human confirmation required before the system makes purchases, sends messages or commits major changes. Most labour economists expect advanced AI to reshape jobs before it replaces them outright: automating routine, document-heavy or highly standardised tasks, while increasing the demand for roles that involve strategy, complex human interaction, domain expertise and oversight of AI systems themselves. Gemini 3 fits that pattern. It is likely to: reduce the time professionals spend on research, summarising, drafting and basic coding increase productivity for people who learn how to delegate well to AI tools raise the bar for what ‘average’ output looks like in some digital jobs, pushing humans towards higher-level work For now, Gemini 3 looks less like a sudden wave of job losses and more like a powerful accelerator of trends that were already under way. It makes it easier to imagine a near future where ‘using an AI agent’ is as normal as using email and where the most secure careers are those that combine technical literacy with human skills that machines still struggle to match, from empathy and creativity to real-world judgement. In that sense, Gemini 3 is not proof that humans are about to be replaced, but it is a clear signal that the pace of change is speeding up. How disruptive that feels will depend less on the model itself, and more on how governments, companies and workers choose to adapt to it over the next few years.
https://www.ibtimes.com/googles-gemini-3-faster-ever-before-ai-replacing-humans-sooner-we-think-3790731