Top 10 ways people are actually using AI at work in 2026

For years, discussions about artificial intelligence in the workplace have focused largely on automation. Many expected AI to spend most of its time writing emails, summarising meetings and handling routine administrative tasks. However, new data suggests a different reality is emerging.

According to the latest Microsoft Work Trend Index, the most common use of AI at work in 2026 is decision-making rather than content creation or task automation. The report analysed more than 100,000 Microsoft 365 Copilot chats from users worldwide in February 2026 and found that workers are increasingly relying on AI to assess information, weigh options and reach conclusions. Decision-making accounted for 27.5% of workplace AI activity, making it the largest category by a significant margin.

The findings point to a broader shift in how AI is being integrated into daily work. Rather than simply carrying out tasks, AI is becoming a tool that helps people think through problems, exercise judgment, and make informed decisions in an increasingly complex information environment.

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Here are the ten most common ways people are using AI at work in 2026.

1. Decision-Making (27.5%)

Decision-making is now the leading workplace use of AI.

Workers are asking AI to compare options, evaluate information, identify risks and support business choices. Whether deciding on project priorities, assessing proposals or exploring possible outcomes, employees are increasingly using AI as a thinking partner.

The trend suggests that workers trust AI not only to provide information but also to help structure complex decisions.

2. Getting Information (13.0%)

Finding information remains one of the most common uses of workplace AI.

Employees use AI to locate facts, answer questions and retrieve knowledge from large volumes of documents and data. Instead of searching through multiple systems, workers can ask a question and receive a direct response.

This helps reduce the time spent looking for information and allows teams to focus on action.

3. Documentation (11.7%)

Documentation ranks third on the list.

Workers rely on AI to create reports, meeting notes, project summaries, policies and other business documents. AI helps organise information into formats that can be shared across teams.

As organisations continue to generate large amounts of information, documentation remains a major workplace requirement.

4. Team Communication (8.4%)

Communication is another key area where AI is making an impact.

Employees use AI to draft messages, prepare updates, structure presentations and communicate ideas across teams. The technology helps workers express information clearly and maintain communication across departments.

As hybrid and remote work continue, communication remains a central part of daily operations.

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5. Data Analysis (5.5%)

AI is increasingly being used to analyse data.

Workers use AI tools to identify trends, interpret results and uncover insights from datasets. Instead of manually reviewing spreadsheets and reports, employees can ask AI to explain patterns and highlight findings.

This allows more people to engage with data, regardless of technical background.

6. Creative Thinking (4.9%)

AI is also supporting idea generation.

Workers use it to brainstorm solutions, explore alternatives and develop new approaches to challenges. Rather than replacing creativity, AI is often being used to expand thinking and introduce new perspectives.

The growing use of AI for brainstorming reflects its role in supporting human problem-solving.

7. Computer Work (4.7%)

Many employees are using AI to assist with digital tasks.

This includes helping with software use, troubleshooting issues, managing workflows and completing technical activities. AI can guide users through processes and reduce the time needed to complete routine computer-based work.

8. Information Interpretation (4.5%)

Understanding information can often be as important as finding it.

Workers are increasingly asking AI to explain reports, summarise findings and clarify complex material. This helps employees make sense of large amounts of information and communicate insights to others.

The category highlights AI’s growing role in helping people understand information, not just access it.

9. Information Processing (3.1%)

AI is also being used to organise and structure information.

Employees use it to sort data, categorise content, identify themes and prepare information for further analysis. These activities help teams handle growing volumes of workplace data more efficiently.

10. Quality Assessment (2.8%)

Rounding out the top ten is quality assessment.

Workers use AI to review documents, identify errors, check consistency and evaluate outputs before they are shared or implemented. This adds an additional layer of review and helps improve accuracy.