6 Ways to Reskill Your Workforce in the Age of AI

Publié le 18 January 2024 Par Reena Aggarwal

Stay ahead of the latest innovations transforming business across industries by knowing 6 ways to reskill your workforce in the age of AI.

AI is swiftly transforming the corporate world.

In fact, according to Statista, the Global corporate investment in AI reached nearly 92 billion U.S. dollars in 2022, highlighting its increasing importance.

Image via Statista

However, this surge has created a significant disparity between the skills taught in higher education and those demanded by today’s job market.

Colleges and universities aren’t adequately preparing people for the AI-driven workforce.

Consequently, employers need to intervene and assist their employees in reskilling and upskilling to excel in their professional roles.

So, how can you reskill your workforce in the age of AI?

We’ve conducted research and identified practical strategies to help you navigate this evolution.

Keep reading for insights.

6 Practical Ways to Reskill Your Workforce in the Age of AI

Reskilling your employees is paramount in the age of AI.

According to recent research by Gallup, 48% of American workers would switch to a new job if offered skills training opportunities. This statistic underscores the importance of prioritizing upskilling efforts.

That said, here are 6 practical ways to reskill your workforce in the age of AI.

1. Identify Skill Gaps and Realign with Your Company’s Long-Term Goals

To successfully navigate the age of AI, you need to identify AI skills gaps within your workforce and align them with your company’s long-term goals. For instance, does your team know how to automate lead gen? Identifying these gaps is essential for efficient reskilling.

So, how can you identify AI skills gaps?

Skills assessment: Conduct a comprehensive skills assessment to determine your employees’ current AI-related competencies.

Technology audit: Evaluate the AI tools and technologies your company currently uses and plans to adopt.

Feedback mechanisms: Gather feedback from employees, managers, and AI experts to pinpoint areas where skills are lacking.

Benchmarking: Compare your organization’s AI skill levels with industry standards to understand where you stand.

Once you’ve identified the skills gaps, it’s important to align them with your long-term company goals.

To align identified skills with your company’s long-term goals, create a strategic plan that integrates reskilling initiatives.

2. Collaborate with Online Course Platforms

Utilizing online learning platforms is pivotal in the age of AI, and it’s no surprise that these platforms are experiencing substantial growth.

Infact, in the Online Learning Platforms market, the number of users is expected to reach a remarkable 0.9 billion by 2027, underscoring their significance.

These platforms offer a wide array of AI-related courses, certifications, and resources that can significantly enhance employees’ AI skills and knowledge. Employers should make these courses and resources accessible to their employees and provide them with the time needed to complete them.

There are many benefits of utilizing online course platforms in the age of AI.

Here’s why they’re so beneficial:

Accessibility: Online course platforms can be accessed from anywhere, allowing employees to learn at their own pace and convenience.

Up-to-date content: The content on these platforms is frequently updated to keep up with the rapidly evolving field of AI.

Diverse learning resources: Employees can choose from a variety of formats, including video lectures, quizzes, and interactive assignments.

This approach will help your workforce to keep learning and growing in their careers and to acquire the necessary AI-related skills efficiently at their convenience, making it a cornerstone of successful reskilling efforts.

3. Provide Niche Mentorship

Providing niche mentorship is instrumental in honing specialized AI skills.

Mentors with hands-on AI experience can guide employees through real-world AI projects, offer insights on best practices, and help troubleshoot domain-specific challenges. All you need is a live streaming platform to start teaching your team.

Let’s say you are nurturing top skills for an executive assistant. You can plan one-on-one mentorship sessions with a senior manager. He can not only coach them in all the must-have skills but also get them acquainted with AL applications in this field.

This focused mentorship not only accelerates skill development but also enhances problem-solving abilities within the context of specific AI applications.

As a result, your workforce becomes better equipped to tackle diverse AI tasks and contributes more effectively to your organization’s AI initiatives.

However, handling practical-based learning may be overwhelming since your team is still learning new AI skills.

Effective project management tools, such as reviewed in the Attrock post that can help streamline work better and facilitate in-house mentoring. You can create more flexibility for both mentors and mentees to collaborate and learn.

4. Develop a Comprehensive Reskilling Program

Building a comprehensive reskilling program is essential to equip your workforce with the necessary AI skills and knowledge.

The program should be a holistic approach, addressing both technical and soft skills, to ensure your team can thrive in an AI-driven environment.

A comprehensive reskilling program encompasses the following:

Technical skills: Offering training in AI-related skills such as machine learning, data analysis, and programming languages.

Soft skills: Developing skills like critical thinking, adaptability, and creativity, which are essential to complement technical AI expertise.

Customization: Tailoring the program to match the specific needs and goals of your organization.

Continuous learning: Encouraging a culture of ongoing learning and adaptability to keep up with AI advancements.

5. Diversify Learning

Diversifying learning is key to successful reskilling efforts.

AI is a multifaceted field with various domains, from machine learning to natural language processing, and each requires specific expertise.

Diversifying your learning approaches ensures:

Holistic AI skill development

Enhanced problem-solving abilities

Improved adaptability to AI changes

Better-equipped for diverse AI tasks

Encourages creative thinking

AI technology is evolving rapidly, and a one-size-fits-all approach won’t suffice.

Diverse learning resources, such as video lectures, interactive assignments, quizzes, and AI simulation tools, cater to different learning styles.

Moreover, incorporating AI-driven adaptive learning platforms ensures that the content and approach can be customized to individual employees’ needs.

6. Monitor and Offer Feedback

It’s important to closely track the progress of employees adapting to AI technologies.

AI is a rapidly evolving field, and regular assessments are the compass that ensures your team stays up to date.

You can leverage AI-powered tools, such as learning management systems to provide real-time insights into skill development and performance.

What’s more?

Offering feedback is a critical component in the journey of AI reskilling.

Incorporating AI in the feedback loop adds a layer of personalization and efficiency. AI analytics can evaluate individual performance, pinpoint areas for improvement, and suggest tailored courses or resources for enhancement.

This level of individualized guidance accelerates the learning process and ensures that your workforce is continually growing and adapting to the AI space.

Doing so helps you build a learning culture in your workforce that prioritizes continuous development and adaptability.