1
Agents for every employee
Every employee becomes a human supervisor of agents — shifting from doing every task to orchestrating a team of specialized AI agents grounded in enterprise context.
52%of execs already have agents in production
Google Cloud · Interactive report
AI agent trends 2026
Agentic AI moves beyond answering questions to understanding a goal, making a plan, and taking action across applications — with human guidance and oversight. These are the five shifts reshaping business in 2026.
5Key shifts
52%of execs have AI agents in production
88%of agentic AI early adopters see positive ROI
3,466enterprise leaders surveyed · ROI of AI 2025
The ceiling for human achievement has been lifted
The decisive shift for business isn't AGI — it's agentic AI, and it's happening right now.
Agentic AI augments human capacity with better recall, faster data processing, and enhanced reasoning across the back office, front office, and corner office. Unlocking its value requires more than adopting new tools — it demands that leaders question old assumptions and drive the cultural change to thrive in this new era.
How these trends were identified
These trends blend qualitative and quantitative data: internal Google Cloud and Google DeepMind interviews with AI leaders, customer case studies, and insights from The ROI of AI 2025 — a global survey of 3,466 enterprise decision-makers, analyzed with NotebookLM and Google AI Studio.
Five shifts shaping 2026
Tap a trend to explore the new model, real examples, and what it means for your teams.
2
Agents for every workflow
An agentic system is a digital assembly line — a human-guided, multi-step workflow that orchestrates multiple agents to run a business process end to end.
88%of early adopters see ROI on ≥1 gen AI use case
3
Agents for your customers
Scripted chatbots give way to agentic concierges that remember preferences and past conversations, grounded in your enterprise data, to offer truly one-to-one service.
49%of orgs with agents in production use them for customer service
4
Agents for security
AI agents take on the draining, reactive work of alert-watching, elevating human analysts from tactical responders to strategic defenders.
82%of analysts fear missing real threats amid alert overload
5
Agents for scale
It's tempting to focus on models and platforms, but the most critical element is people. The half-life of a professional skill is now four years — and in tech, as short as two.
84%of employees want a greater organizational focus on AI
What the leaders say
Voices from Google Cloud, Google DeepMind, and customers.
AI agents are the leap from an 'add-on' approach to an 'AI-first' process. It's a fundamental change in workflow that will require a profound shift in mindset and corporate culture.
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.
At TELUS, over 57,000 team members regularly use AI and save 40 minutes per AI interaction — a fundamental mindset shift to recognizing it as a 24/7 productivity instrument.
AI is driving a generational refactoring of the enterprise — the core workflows and the entire technology stack — shifting human roles to focus on high-value, strategic orchestration.
Agents allow for quicker, more natural interaction by letting customers speak and provide context. This return to verbal communication will be a reality in the next 1–3 years.
The greatest promise of agentic AI in 2026 is moving healthcare from a reactionary system into a predictive learning health system — delivering proactive insights directly into the clinician's workflow.
Agents detect and respond faster to enterprise risks. More importantly, they elevate our SOC analysts from tactical responders to strategic defenders.
AI is already being used to find zero-days, identify malicious code, and uplift the work of defenders. As threat actors adopt the technology, it will be our best tool to meet this new challenge.
In 2026, the shift of employee scope to include agent management will create a skills gap. The expertise to be an 'agent orchestrator' or 'Chief of Staff for AI' simply doesn't exist in the market yet.
Access to agentic AI capabilities will democratize insights, innovation, creativity, and business growth — but comes with tremendous responsibility to ensure secure, ethical, and fair outcomes for all.
Proof in production
How enterprises are already turning agents into measurable outcomes. Tap a card for the full story.
TELUSEmployee · Scale
57,000+team members using AI, saving 40 min per interaction
A productivity instrument available 24/7 — plus an upskilling program that doubled in impact.
SuzanoEvery employee
95%reduction in query time for 50,000 employees
An AI agent built with Gemini Pro turns natural-language questions into SQL over SAP Materials data.
SalesforceEvery workflow
A2Across-platform agents via the open Agent2Agent protocol
Building agents that work across both platforms — an open, interoperable foundation for agentic enterprises.
ElancoEvery workflow
$1.3Mproductivity impact avoided per large site
Gemini models sort and extract insights from 2,500+ unstructured policy documents per site.
The Home DepotYour customers
24/7expert guidance via the Magic Apron AI agent
Magic Apron offers detailed how-to instructions, product recommendations, and review summaries.
DanfossYour customers
42 hrs → real-timeaverage response time; 80% of transactional decisions automated
AI agents from Go Autonomous automate email-based order processing and consolidate five systems into one.
SpecularSecurity
Gemini 2.5 Propowering automated attack-surface management & pentesting
An offensive security platform that identifies, assesses, and remediates threats automatically.
TorqSecurity
90% · 10×of tier-1 tasks auto-remediated; 10× faster response
Socrates, an AI SOC analyst, automates the entire security operations lifecycle.
The 5 pillars of AI learning
A holistic strategy to build an AI-ready workforce — the ultimate driver of business value.
01 · Establish goals
Figure out what is most important and what you can actually measure. For example, a goal of 100% AI tool adoption — every team member using a Gemini Enterprise agent at some point in their workflow. Make sure the specific goal aligns to the bigger picture and is measurable.
02 · Secure sponsorship
Assemble three primary stakeholders: an executive sponsor (funding, high-level backing, consistent messaging), a groundswell lead (the "AI megaphone" running grassroots campaigns and collecting ideas), and an AI accelerator (the technical expert turning prioritized ideas into functional solutions).
03 · Sustain momentum and reward innovation
Run the program as a "digital hub" featuring a gamified idea exchange with a leaderboard to continuously collect and reward AI use cases. Maintain momentum with regular, multichannel communication and a quarterly awards program to recognize top innovators.
04 · Integrate AI into daily workflows
Keep the education going with internal hackathons where small teams develop and pitch innovative AI solutions, and challenge-based "Field Days" — in-person and virtual — where teams practice using the new custom AI tools in a collaborative setting.
05 · Prepare for increasing risks with trusted frameworks
As agent-accelerated cyber risks grow more sophisticated, security becomes everyone's responsibility. Train employees on what data can (and cannot) be used in AI tools, and how to recognize sophisticated threats like AI-driven social engineering.
Conclusion
The 2026 opportunity: a path to business growth
The 2026 opportunity can seem technical, but it is fundamentally human. It's about freeing your teams from the repetitive, low-value work that drains their energy — so they can focus on the creative, strategic, and empathetic work that only they can do.
Read the official Google Cloud report"Access to agentic AI capabilities will democratize insights, innovation, creativity, and business growth." — Anil Jain, Global Managing Director, Global Strategic Industries, Google Cloud