2026年五大AI Agent趨勢

1 AI agent trends 2026 Five shifts that will redefine roles, workflows, and business value in 2026. Interactive report

2 Want to dig deeper into the trends? NotebookLM is ready to help—simply click the icon for an interactive version of this report. This report provides key insights for business leaders to shape their AI agent strategy for 2026 and beyond. Within each trend, you will find real-life examples, technical resources, and customer stories to share with your teams for deeper learning. These trends were identified using a blend of qualitative and quantitative data, including internal Google Cloud and Google DeepMind interviews with AI leaders, customer case studies, and insights from The ROI of AI 2025 report (based on a global survey of 3,466 enterprise decision makers), with analysis using NotebookLM and Google AI Studio. About this report Ask the report

3 AI agents are redefining business value in 2026 The ceiling for human achievement has been lifted. What are AI agents? While headlines focus on the distant future of Artificial General Intelligence (AGI), the decisive shift for business is happening right now. That shift is agentic AI. This is AI that moves beyond answering questions to understanding a goal, making a plan, and taking actions across applications to achieve it with extensive human guidance and oversight. Due to this capability, AI is one of the first technologies that applies to every single person, in both our personal and professional lives. Its power lies in its ability to augment human capacity with better recall, faster data processing, and enhanced reasoning across the back office, front office, and corner office. Achieving this, however, depends on ensuring widespread access, necessary skills development, and broad participation for everyone. In this report, we explore five key AI agent trends shaping business in 2026. Unlocking the value of these trends requires more than simply adopting new tools. It also demands that leaders question old assumptions and drive the cultural change necessary to thrive in this new, agentic AI era. Agents are systems that combine the intelligence of advanced AI models with access to tools so they can take actions on your behalf, under your control. I/O, May 2025 Keynote by Sundar Pichai, CEO, Google Ask the report

4 Vice President, Global GTM for Generative AI, Google Cloud Oliver AI agents are the leap from being an ‘add-on’ approach to being an ‘AI-first’ process. It’s a fundamental change in workflow, a new way to work that will require a profound shift in mindset and corporate culture.” Parker Ask the report

55 5 AI trends shaping 2026 Agents for every employee Empowering individuals to achieve peak productivity 1 Agents for every workflow Running your business with grounded agentic systems 2 Agents for security Advancing security from alerts to action 4 Agents for your customers 3 Delighting customers with concierge-like experiences Agents for scale 5 Upskilling talent will be the ultimate driver of business value Ask the report

6 Empowering individuals to achieve peak productivity Trend 12345 Agents for every employee Ask the report

77 Agents for every employee12453 The most significant business shift of 2026 isn’t just about efficiency; it’s a fundamental, employee- centric transformation. This new agentic model is designed to expand the potential of every individual, turning them into the primary engine for innovation and growth. This change stems from a behavioral shift in the human-computer interface, moving from instruction-based computing (e.g., analyzing a spreadsheet, developing code) to intent- based computing. In 2026, employees will be increasingly able to state a desired outcome, and the computer—using LLMs and agents— determines how to deliver it. 52% of executives in gen AI-using organizations have AI agents in production, 1 deploying them across a wide range of use cases: 2 1 Google Cloud, The ROI of AI, 2025 (Total global: n=3466; Questions: (1) How are AI agents leveraged across the enterprise? (2) How many AI agents does your company currently have deployed in production across your organization?) 2  Google Cloud, The ROI of AI, 2025 (Executives whose organization is leveraging agentic AI: n=1814; Question: What use cases has your company deployed AI agents for?) Of those: 49%use agents for customer service 46% use agents for marketing or security operations 45%use agents for tech support 43% use agents for product innovation or productivity and research Ask the report

8 Agents for every employee12453 VP, General Manager, Cloud AI, Google Cloud Saurabh By 2026, agents will manage complex, multi-step workflows across systems. A key responsibility of employees will be to set the strategy and oversee the system of agents responsible for tasks, such as invoicing and contracting.” This surge in AI \[agent\] adoption reflects a fundamental mindset shift to recognizing it as a productivity instrument available 24/7. At TELUS, we’ve seen this firsthand—over 57,000 team members regularly use AI and save 40 minutes per AI interaction.” Tiwary Jaime Tatis Chief AI Officer, TELUS Ask the report

9 A new integrated working model In this new model, every employee—from an entry- level analyst to a senior vice president—becomes a human supervisor of agents. Their primary job is no longer to perform every mundane task personally, but rather to orchestrate a team of specialized AI agents to achieve a goal. This model is about more than just delegation; it’s about augmentation. The real power comes from giving every employee agents grounded in the company’s own enterprise context—its internal systems, knowledge bases, customer data, and past work—to elevate the impact of their efforts. The employee’s core function becomes providing strategic direction. Their new responsibilities are to: Delegate mundane or repetitive tasks Identify which tasks are best suited for an agent and assign them. Set goals Clearly define the desired outcome for the agent. Outline strategy Use their human judgment to guide the agents and make the final, nuanced decisions that AI can’t. Verify quality Act as the final checkpoint for quality, accuracy, and tone. What is grounding in AI? It is the process of anchoring an AI model’s responses to a specific, verifiable set of facts—its “ground truth.” For an enterprise, this ground truth is its own internal data. Learn more Agents for every employee12453 Ask the report

10 Ask the report Agents for every employee12453 Director, Head of Customer Engineering Google Cloud Japan Daisuke As roles shift to agent management, enabling employees is vital, especially in regions like Japan that rely on system integrators (SIs). Democratization via tools like Gemini Enterprise app allows knowledge workers to build agents, improving productivity and elevating the SI partnerships to focus on complex, long-term initiatives.” Fuchino

11 The 10x marketing manager How it works A marketing manager’s job used to be a constant scramble of drafting posts, pulling data, and watching competitors. In 2026, they can orchestrate a system of specialized AI agents to achieve their goals, rather than performing every task personally. With agents focusing on specific tasks, the marketing manager can multiply their output by focusing on high-impact brand storytelling and strategic campaign development. An example of a Gemini Enterprise app home page Agents for every employee12453 Ask the report

12 The marketing manager’s specialized agent system Their new role involves orchestrating five specialized agents: Data agent This agent can sift through millions of structured and unstructured data points to find actionable patterns in market trends. Analyst agent Its job is to monitor market trends, competitor announcements, and social media sentiment 24/7. It delivers a one-page report of key insights to the marketing manager’s inbox every morning. Content agent Given a strategic theme