How to evaluate AI skills? A guide for HR

There are tasks that AI can automate where teams no longer add value. But in most cases, artificial intelligence is a work partner that integrates into processes and complements human labor.

That is why teams that do not develop AI skills are being left behind. Because incorporating AI into the company no longer guarantees that people are prepared to work with it. In many organizations, technology is advancing faster than internal capabilities to interpret, apply, or interact with AI.

To clarify the AI skills a team has and which ones it needs to develop, you must evaluate with objective criteria.

Why is it essential to know the level of artificial intelligence skills?

Knowing the AI skill level of the workforce allows for better decisions regarding training, internal reorganization, or onboarding new talent. When that information is missing, it is easy to fall into generic training plans, move talent that is not truly prepared, or invest in tools that go unused.

Furthermore, not all profiles require the same AI knowledge. Having this clear and evaluating well helps to prioritize and focus efforts where they can have the most impact on the business.

How to assess AI skills effectively?

Analyze how AI affects each role. The first step is to identify which tasks AI can replace, which will continue to depend on human judgment, and in which both should complement each other.
Define which competencies are relevant to measure. The key is to define a skills map with critical skills that are strategic for the business.
Combine technical skills and soft skills. AI requires more than just technical skills for effective management. Mastering soft skills, such as adaptability, curiosity, or learning agility, is also essential.
Establish comparable criteria. You need clear levels, observable indicators, and a common framework. If every manager interprets things differently, the evaluation loses value.
Detect gaps and prioritize actions. Once the starting point is measured, the real value lies in comparing what the team has with what the business needs. This way, you can decide which gaps to close first and whether the solution involves training, reskilling or organizational changes.
Review the evaluation frequently. Skills linked to AI evolve rapidly. Therefore, it is recommended to measure and review them periodically to adjust the strategy.

Do you know how much your team is exposed to AI? Check it with our free tool.