Predicting Future Skills: Top Employee Skills Forecasting Tools

# Predicting Future Skills: Top Employee Skills Forecasting Tools (A 5-Step Framework for L&D Pros)

Employee skills forecasting tools are AI-powered platforms that analyze internal workforce data and external labor market trends to predict which skills your organization will need next. These tools help L&D teams move from reactive training plans to proactive workforce strategies. But here’s the challenge: with the half-life of skills shrinking to under five years, how do you know which capabilities to invest in today?

Let’s walk through a practical framework and the best tools to build a future-ready workforce.

The Urgency of Skills Forecasting

The numbers are sobering. According to the World Economic Forum, 50% of all employees will need reskilling by 2025 due to technological disruption. That’s not a distant threat—it’s happening right now. Skills like data analysis, AI literacy, and agile project management are rising fast, while traditional roles are being reshaped or eliminated.

Here’s the problem: most L&D teams still rely on annual training plans. You know the drill—survey managers in Q4, build a curriculum, roll it out in Q1. By the time you launch, the market has already moved. That approach simply can’t keep pace with today’s rate of change.

Employee skills forecasting tools change the game. They leverage AI, real-time labor market data, and internal analytics to give you a competitive edge. Instead of guessing which skills matter, you can predict them with data. In this article, we’ll walk through a 5-step framework and review the top tools to help you build a future-ready workforce.

The 5-Step Skills Forecasting Framework

Step 1: Assess Your Current Skills Inventory

You can’t forecast where you’re going unless you know where you are. Start by auditing existing employee skills using self-assessments, manager reviews, and structured skill taxonomies. Many organizations have this data scattered across HRIS, LMS, and performance management systems—it’s time to bring it together.

Integrate data from these systems to create a single source of truth. Tools like LinkedIn Talent Insights or Degreed can automate skill tagging and gap analysis, saving your team weeks of manual work. For example, a manufacturing company might discover they have strong mechanical engineering skills but weak digital twin expertise—a critical gap for Industry 4.0.

Step 3: Analyze Market and Industry Trends

Now look outward. Monitor job posting data, industry reports, and emerging technology adoption rates to identify which skills are rising in demand. According to a 2025 LinkedIn Workplace Learning Report, skill sets for jobs have changed by around 25% since 2015—and that acceleration shows no signs of slowing.

Platforms like Lightcast (formerly Burning Glass) provide real-time labor market analytics. You can see exactly which skills employers in your region are hiring for, how fast demand is growing, and what salary premiums they command. For instance, if you’re in financial services, you might spot a 40% year-over-year increase in demand for blockchain auditing skills. That’s a signal you can’t ignore.

Step 3: Identify Skill Gaps and Future Needs

Compare your current inventory with future demand to pinpoint critical gaps. This is where the magic happens. Prioritize skills that align with your company’s strategic goals—if you’re undergoing digital transformation, focus on cloud computing, cybersecurity, and data literacy.

Don’t neglect soft skills. Communication, adaptability, and emotional intelligence are increasingly valued as automation handles routine tasks. A 2023 Harvard Business Review analysis found that companies investing in both technical and human skills outperformed peers by 30% in innovation metrics. Use your forecasting tool to map both categories against future needs.

Step 4: Prioritize and Plan for Skill Development

Not all gaps are equal. Rank them by urgency, impact, and feasibility of closing them through training or hiring. A critical gap in AI ethics might require immediate upskilling, while a niche programming language could be filled through targeted hiring.

Create a roadmap with short-term (6 months) and long-term (2-3 years) skill initiatives. Predictive analytics tools like Gloat or Eightfold AI let you model different scenarios. What if you train 50 employees in data analytics versus hiring 10 data scientists? The tool can show you cost, timeline, and outcome projections—making your case to leadership much stronger.

Step 5: Implement, Monitor, and Iterate

Now it’s execution time. Roll out targeted learning programs, mentorship opportunities, and job rotations that build the skills you’ve identified. Track progress using dashboards and skill benchmarks—adjust as market conditions shift.

Here’s the key insight: skills forecasting isn’t a one-and-done project. It’s an ongoing cycle. Continuously update your forecasts with new data from your tools and market reports. Revisit your plan quarterly, not annually. The organizations that treat skills forecasting as a living process will stay ahead of those that don’t.

Top Employee Skills Forecasting Tools

LinkedIn Talent Insights

This tool combines your employee data with LinkedIn’s global talent pool to forecast skill demand and supply. You can see which skills your people have, which ones are trending in your industry, and where talent gaps exist. The dashboard is intuitive, making it easy to present to stakeholders.

Lightcast (formerly Burning Glass)

Lightcast provides real-time labor market data, job posting analytics, and skill trend reports. It’s especially strong for identifying emerging skills in your industry before they become mainstream. Want to know if “prompt engineering” is taking off in healthcare? Lightcast has the data.

Eightfold AI

Eightfold uses AI to map employee skills and predict future roles. It offers personalized career pathing and gap analysis, showing each employee which skills to develop and what roles they could grow into. This is powerful for retention—people stay when they see a future.

Degreed

Degreed is a learning experience platform with skill intelligence built in. It tracks employee capabilities and recommends learning content to close gaps. The skill tagging is automated, so you always have an up-to-date picture of your workforce’s abilities.

Gloat

Gloat focuses on internal talent mobility. It uses skills data to match employees with projects and roles that build future-proof skills. Instead of just training people, you’re giving them real experience—which often works better than any course.

How to Select the Right Tool for Your Organization

Define your objectives first. Are you focused on external market trends, internal gap analysis, or both? If you need to understand what skills are emerging in your industry, Lightcast is a strong choice. If you want to map internal talent and create career paths, Eightfold or Gloat might suit better.

Evaluate data integration carefully. The tool should easily connect with your existing HRIS, LMS, and performance systems for seamless data flow. Nothing kills a skills initiative faster than manual data entry and spreadsheets.

Consider user experience. L&D teams and managers need intuitive dashboards. Look for tools with strong visualization and reporting capabilities. If your stakeholders can’t understand the data at a glance, they won’t act on it.

Check scalability and support. Ensure the tool can grow with your organization and offers robust customer support and training. A tool that works for 500 employees might break at 5,000—ask about enterprise features.

Putting It All Together: Your Next Steps

Start with a pilot. Test one tool against a specific business unit or skill category to validate its accuracy and usability before rolling out company-wide. For example, pilot LinkedIn Talent Insights with your engineering team to forecast AI skills needs for the next year.

Build a cross-functional team. Involve HR, IT, and business leaders to ensure buy-in and data access. Skills forecasting touches every department—you need allies who understand the data and the business context.

Commit to continuous learning. Skills forecasting is not a one-time project. Revisit your forecasts quarterly and adjust your learning strategies accordingly. The market will shift, and your plan should too.

Finally, remember the human element. Tools provide data, but your people’s aspirations and feedback are equally important. Combine analytics with conversations. Ask employees what skills they want to develop—you might discover hidden talents and untapped potential that no algorithm can predict.

The future of work is uncertain, but with the right employee skills forecasting tools and a systematic framework, you don’t have to guess. You can prepare, adapt, and thrive.

Frequently Asked Questions

What is the best employee skills forecasting tool for small businesses?

For small businesses, LinkedIn Talent Insights offers a good balance of affordability and depth. It provides labor market data and skill gap analysis without requiring a massive implementation. Start with the free tier to test it against your needs.

How often should I update my skills forecast?

Update your skills forecast quarterly at minimum. The labor market and technology change fast—annual updates will leave you behind. Set a recurring calendar reminder to review new data from your tools and adjust your learning roadmap.

Can skills forecasting tools replace manager judgment?

No, these tools are decision-support systems, not replacements for human judgment. They provide data and predictions, but managers need to interpret the results in context of company culture, employee aspirations, and strategic priorities. The best outcomes come from combining tool insights with human conversations.

Do I need a dedicated data analyst to use these tools?

Most modern employee skills forecasting tools are designed for L&D professionals, not data scientists. They offer intuitive dashboards and pre-built reports. However, having someone on your team who understands data interpretation can help you get more value from the insights.