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Using AI to Drive Employee Development

Using AI to Drive Employee Development

July 8, 2024
AI can create individualized learning paths based on each employee’s inferred skills, needs, and learning styles. 

While AI elicits a number of strong reactions – from fear to relief --  a recent article from UKG explored how it can assist employees in their desire to develop their careers.

The following is an excerpt of some of those ways.

Skills gap analysis

Many companies suffer from a gap between their workforce’s current and desired position. The first step in closing a skills gap is understanding how wide it is and where your vulnerabilities lie. AI-driven tools can: 

  • Survey employees to assess their current skills
  • Identify developmental areas in which to invest resources
  • Analyze data from job postings and market trends to predict future skill demands. 

Personalized learning paths

Once you know where your employees need to improve, AI can personalize learning journeys and help employees chart their own career destinies. Traditional training methods often take a one-size-fits-all approach, but AI can create individualized learning paths based on each employee’s inferred skills, needs, and learning styles.      

Another dynamic aspect of personalization offered by AI is the ability to assemble content based on user activities such as completed courses or other interests.

Upskilling and reskilling

Stale, annual training courses have been replaced by “learning in the flow of work,” a practical alternative introduced by Josh Bersin in 2018. 

This short-form learning concept enables employees to consume daily bite-sized content such as videos, podcasts, and email content to regularly upskill, reskill, and stay relevant. AI's content authoring features can generate engaging learning materials in minutes, for example, by: 

  • Turning a new research paper into a gamified microlearning experience
  • Creating infographic content from a news article 
  • Converting a webinar into short, engaging snippets

Read the full article

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