Introduction

AI is now part of daily work. This report shows how companies really use AI and where it saves time, boosts output, and creates new work.

What's the problem it solves?

Many companies know AI matters but do not know how it is actually used at work. This report cuts through hype and shows real usage, real value, and real gaps between leaders and everyone else.

Quick Summary

Enterprise AI use is growing fast and getting deeper. Workers are not just asking simple questions anymore. They are building repeat workflows, using custom tools, and relying on AI for complex tasks across teams.

AI adoption is rising across all industries, with strong growth in tech, healthcare, manufacturing, finance, and services. Global use is also accelerating, especially outside the US. Workers report big time savings and better quality work, often gaining hours back each week.

A clear gap is forming. Power users and advanced companies use AI far more and get more value from it. The main limit is no longer the tech itself, but how ready companies are to roll it out well.

Key Takeaways

• Enterprise AI usage is growing fast and becoming part of daily work
• Workers save time and improve quality across many roles
• AI helps people do tasks they could not do before
• Leading companies and users are pulling far ahead
• The biggest blocker is organization, not technology

What to do

• Move from testing AI to building repeat workflows
• Train teams to use AI across real tasks, not just prompts
• Focus on deep use by fewer teams before wide rollout
• Track time saved and new work enabled, not vanity metrics
• Treat AI adoption as a company system, not a tool rollout

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