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What employees at every level need to learn about AI

Discover what employees at every level need to learn about AI, from foundational skills to responsible use, better decisions, productivity and strategy.

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Employees at every level need AI literacy, role-specific practice and the confidence to use AI responsibly in daily work. Entry-level employees should learn fundamentals and safe experimentation. Mid-level employees should apply AI to decisions and team workflows. Senior leaders should use AI to rethink strategy, culture and how work gets done.

For HR, People and L&D leaders, the goal is not to make everyone an AI expert. The goal is to help each group build practical AI skills that improve decisions, productivity and the way work happens. Microsoft's 2026 Work Trend Index found that when managers actively modeled AI use, employees reported a 17-point lift in AI value and a 30-point lift in trust in agentic AI.

What should entry-level employees learn about AI?

Grasping AI fundamentals is essential for those just starting their careers. Understanding how AI automates routine tasks can make employees more efficient in their day-to-day work, but the bigger opportunity is learning how to partner with AI while still applying human judgment.

When it comes to learning about AI training for employees, entry-level employees should:

  • Build a basic understanding of what AI can and cannot do
  • Familiarize themselves with approved AI tools used in their industry or function
  • Learn how AI can assist with research, data analysis, scheduling, drafting and simple decision support
  • Practice writing clear prompts and refining outputs
  • Check AI-generated work for accuracy, bias, tone and fit before using it
  • Follow company guidelines for data, privacy and responsible AI use
  • Stay curious about emerging AI trends that could shape future roles

This foundational knowledge will empower employees to embrace AI and use it to improve productivity without giving up critical thinking.

What should mid-level employees and managers learn about AI?

Mid-level professionals are often responsible for managing teams, projects and processes. They need to understand how AI can improve decision-making, reduce repetitive work and help teams focus on higher-value priorities. 

Mid-level employees should:

  • Understand how to interpret AI-driven data insights for better strategic decisions
  • Explore AI solutions that enhance team collaboration, planning and performance
  • Identify opportunities where AI can automate routine tasks, freeing up time for more impactful work
  • Set clear quality standards for AI-assisted work
  • Help team members experiment with AI in ways that feel safe, useful and aligned with business goals
  • Know when to trust AI outputs and when to escalate, verify or rely on human expertise

Managers have an especially important role because they translate AI strategy into daily habits. When managers model responsible AI use, employees are more likely to see AI as a practical way to improve work, not a threat or a side project. For more detail, see what managers need to know about AI.

By leveraging AI effectively, mid-level professionals can drive efficiencies across their teams and improve outcomes.

What should senior leaders learn about AI?

Senior leaders are responsible for shaping organizational strategy, and AI now belongs in that conversation. For this group, understanding AI’s broader business impact is critical.

Senior leaders should:

  • Stay informed about AI’s impact on their industry, customers, competitors and workforce
  • Use AI to analyze market trends, operational performance and strategic risks
  • Consider AI as a core component in strategic planning, innovation and digital transformation efforts
  • Define where AI should change workflows, decision rights and operating models
  • Set clear expectations for responsible AI use across the organization
  • Invest in workforce readiness so employees can apply AI skills, not just learn about tools
  • Measure progress through behavior change, business outcomes and adoption quality, not only access to AI tools

For senior leadership, AI must be considered a strategic asset that drives innovation and growth. The best AI strategy is also a People strategy because technology only creates value when employees know how to use it in the flow of work.

AI is a powerful force shaping every level of the workforce. By understanding how to work with AI, employees at all levels can improve their effectiveness, make smarter decisions and stay competitive in a rapidly evolving workplace.

The future of work is here, and those who learn to harness AI’s potential will thrive.

Learn live. Adapt faster.

Frequently asked questions

What should employees learn about AI first?

Employees should start with basic AI literacy: what AI can and cannot do, how to use approved tools, how to write clear prompts and how to check AI outputs before using them in real work.

How should managers use AI at work?

Managers should learn how to use AI to improve decision-making, team workflows and prioritization. They also need to model responsible AI use so employees feel safe experimenting and applying AI to everyday work.

What should senior leaders know about AI?

Senior leaders should understand AI’s business impact, connect AI to strategy and workforce planning, set clear expectations for responsible use and create the conditions for employees to change how work gets done.

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