---
id: "lib-2025-12-00-ai-agent-trends-2026"
type: "library"
title: "AI agent trends 2026"
lang: "EN"
org: "Google Cloud"
source_type: "Report"
date: "2025-12-01"
week: "2025-W49"
url: "https://nosov.ai/library/lib-2025-12-00-ai-agent-trends-2026/"
original_url: "https://services.google.com/fh/files/misc/google_cloud_ai_agent_trends_2026_report.pdf"
tier: "C"
tier_name: "Weak signal"
tier_reason: "Google Cloud marketing report that reuses figures from its own ROI of AI 2025 survey and adds customer quotes and product links; little new evidence."
summary_basis: "full-text"
original_minutes: "25"
tags: ["ai agents", "cloud", "enterprise"]
---

# AI agent trends 2026

Tier C (Weak signal): Google Cloud marketing report that reuses figures from its own ROI of AI 2025 survey and adds customer quotes and product links; little new evidence.

Summary based on the full text.

## In short

A December 2025 Google Cloud report naming five agent trends for 2026: agents for every employee, for every workflow, for customers, for security, and for scale through upskilling. The picture is of each employee becoming a supervisor of specialised agents grounded in company data, with humans setting goals and checking quality. Evidence is drawn from Google's earlier ROI of AI 2025 survey, interviews with Google staff and customer stories, with links to Google products throughout.

## Key numbers

- 52%: executives at gen AI-using organisations with AI agents in production (from The ROI of AI 2025, n=3,466)
- 49%: of those, share using agents for customer service (n=1,814)
- 95%: reduction in query time claimed for Suzano's natural-language-to-SQL agent
- 71%: organisations reporting higher revenue after engaging with technical learning resources (Google/Ipsos, n=902)

## What it reports

- 52% of executives at gen AI users have agents in production; of those, 49% use them for customer service, 46% for marketing or security operations, 45% for tech support.
- 88% of "agentic AI early adopters" report ROI on at least one gen AI use case (same survey).
- Customer claims: TELUS says over 57,000 team members use AI regularly and save 40 minutes per interaction; Suzano reports a 95% cut in query time for staff querying SAP materials data with a text-to-SQL agent.
- Describes a "10x marketing manager" orchestrating data, analyst, content, creative and reporting agents.
- Upskilling figures from a Google/Ipsos pulse (n=902): 82% of decision-makers say learning resources help them stay ahead; 71% report revenue increases after using them.
- Employee survey cited: 61% at AI-adopting organisations use AI daily; 29% say AI is broadly advocated across their organisation.

## How they got it

Synthesis of Google Cloud and Google DeepMind interviews, customer case studies and the ROI of AI 2025 survey, analysed with NotebookLM and Google AI Studio. No new survey.

## Limits

- Survey numbers are recycled and self-reported; the ROI figure comes from a question about expected timeframes for return.
- Case results are vendor-supplied and unverified.
- The revenue link to learning resources is correlation from a Google-commissioned poll.
- Written to promote Gemini Enterprise and Google Cloud agent tooling.

## Why it matters for companies

The useful part is the role description for staff working with agents: delegate, set goals, outline strategy, verify quality. That is a reasonable basis for job design and training content. The trend list itself mirrors the vendor's product lines, so use it as a map of what platforms will sell in 2026, not as evidence of what works.

Original: https://services.google.com/fh/files/misc/google_cloud_ai_agent_trends_2026_report.pdf