AI Strategy 6 min read April 2026

How to Build AI Capabilities in Your Team

AI strategy needs people who can use AI. Learn how to build AI capabilities in your team.

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How to Build AI Capabilities in Your Team

Short answer: To build AI capabilities in your team, train your people on AI tools and how to use them, build understanding of what AI can and can't do, develop the skills to apply AI to real work, foster a culture open to AI, and provide ongoing learning as AI evolves. AI strategy needs people who can actually use AI, so building team capabilities is essential. The key is developing your team's ability to use AI effectively - through training, understanding, skills, and an open culture - so AI is applied well throughout the business.

People make AI work

AI strategy needs people who can actually use AI - so building team capabilities is essential to AI delivering value. The key is developing your team's ability to use AI effectively, so AI is applied well throughout the business. For a business in your area, building AI capabilities in your team is what makes AI adoption succeed. Here's how to build AI capabilities in your team.

Train your people

Building AI capabilities starts with training your people on AI tools and how to use them. People can't use AI they don't know how to use - training them on the AI tools and how to apply them builds the basic capability to use AI. Training is the foundation of building team AI capabilities. Training gives people the ability to use AI.

This matters because untrained people can't use AI effectively. Without training on the AI tools and how to use them, people can't apply AI well, undermining adoption. Training your people - on the tools, how they work, and how to use them - builds the foundational capability to use AI. Training your people is the foundation of building AI capabilities in your team. Train your people to use AI.

Build understanding and skills

Building AI capabilities means developing understanding and skills:

  • Understanding what AI can and can't do.
  • Skills to apply AI to real work.
  • Practical ability, not just tool knowledge.
  • Judgment about using AI well.
  • Capability to apply AI effectively.

Building understanding and skills develops real AI capability beyond tool knowledge. Understanding what AI can and can't do gives people the judgment to apply it well; and skills to apply AI to real work make them able to use it effectively. Together, understanding and skills build genuine capability to apply AI. Building understanding and skills is central to developing team AI capabilities. Develop understanding and practical AI skills.

Foster an open culture

Building AI capabilities means fostering a culture open to AI. A culture open to AI - where people are willing to learn and use it rather than resisting - enables capability-building; a resistant culture blocks it. Fostering openness to AI supports the whole capability-building effort. An open culture enables AI capability development. Cultural openness supports building AI capabilities.

This matters because culture affects whether capability-building succeeds. In a culture resistant to AI, people won't engage with training or apply AI, blocking capability-building; in an open culture, they embrace it. Fostering a culture open to AI - where learning and using it is encouraged - supports building capabilities. Fostering an open culture is important to building AI capabilities in your team. Foster a culture open to learning and using AI.

Provide ongoing learning

Building AI capabilities means providing ongoing learning as AI evolves. AI keeps changing, so capabilities need ongoing development - continued learning to keep pace. Providing ongoing learning keeps team capabilities current as AI evolves. Ongoing learning sustains AI capabilities over time. Continued learning keeps AI capabilities current.

For a business in your area, building AI capabilities in your team means training your people on AI tools and how to use them, building understanding of what AI can and can't do, developing the skills to apply AI to real work, fostering a culture open to AI, and providing ongoing learning as AI evolves. AI strategy needs people who can actually use AI, so building team capabilities is essential. The key is developing your team's ability to use AI effectively - through training, understanding, skills, and an open culture - so AI is applied well throughout the business. Building AI capabilities in your team is a core part of AI strategy, ensuring the people who make AI work are equipped to do so.

Frequently asked questions

How do I build AI capabilities in my team?

Train your people on AI tools and how to use them, build understanding of what AI can and can't do, develop the skills to apply AI to real work, foster a culture open to AI, and provide ongoing learning as AI evolves. The key is developing your team's ability to use AI effectively - through training, understanding, skills, and an open culture - so AI is applied well.

Why build AI capabilities in my team?

Because AI strategy needs people who can actually use AI - AI delivers value only when people apply it well. Building team capabilities is essential to AI adoption succeeding. Without people who understand and can use AI effectively, AI tools go unused or misused. Developing your team's ability to use AI ensures it's applied well throughout the business, turning AI investment into real value.

What AI skills does my team need?

Knowledge of the AI tools and how to use them (from training), understanding of what AI can and can't do (giving judgment about applying it well), and practical skills to apply AI to real work. Beyond tool knowledge, the team needs the understanding and judgment to use AI appropriately and effectively. Together, these build genuine capability to apply AI, not just familiarity with tools.

How do I get my team comfortable with AI?

Foster a culture open to AI - where people are willing to learn and use it rather than resisting - alongside training, building understanding, and developing skills. In a resistant culture, people won't engage with AI, blocking capability-building; in an open culture, they embrace it. Encouraging learning and using AI, addressing concerns, and providing ongoing support fosters the openness that makes building capabilities succeed.

Related reading

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