Google says AI agents are crossing a threshold from task-level assistance into end-to-end execution, completing tasks on their own.
In its newly released 2026 AI Agent Trends Report, Google says modern agents can already understand a goal, develop multi-step plans and take actions on behalf of users under human oversight, signaling a move away from experimental use cases toward operational deployment.
Google says the biggest change ahead is not better chat interfaces, but the rise of agentic workflows where multiple agents work together to automate business workflows from start to finish.
“Multiple agents in a system can collaborate, coordinate and communicate to automate complex, multi-step processes. This sophisticated automation goes far beyond chatbots to answer questions, so AI can support specific functions with higher business value.”
The Gemini creator says 2026 will mark the point when businesses begin connecting agents into full workflows tailored to their operational needs, effectively allowing AI to run processes rather than support them piecemeal. According to Google, AI agents will enable employees to focus more on strategy rather than get bogged down in step-by-step tasks.
“Employees will now be able to delegate tasks to different AI agents to reach their goals, shifting their daily work from routine execution to higher-level strategic direction. AI is already becoming a core driver of work from the start: More than 57,000 team members at Telus are regularly using AI and saving 40 minutes per AI interaction. Meanwhile, Suzano, the world’s largest pulp manufacturer, developed an AI agent with Gemini Pro that translates natural language questions into SQL code — resulting in a 95% reduction in the time required for queries among 50,000 employees.”
Recently, Box CEO Aaron Levie said that the rise of agentic systems will usher in two new types of businesses. According to Levie, companies will emerge to offer AI agent integration to established businesses, while new firms will spring up that use agentic systems from the start.
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