If you feel like you’ve been struggling to stay on top of the latest technological trends in manufacturing, you’re not alone. According to a LinkedIn Report, 86% of companies aren’t able to get enough employees up to speed with new tech to adequately handle business demands. This is especially true when it comes to using AI. To keep your competitive edge, you must close any AI skills gaps in your manufacturing business.
How the Internet of Things Changed Everything
Remember life before Industry 4.0? Things may have been less complicated before the digital revolution and the Internet of Things (IoT), but they were more chaotic and disorganized too. There’s no more wading through a sprawl of disconnected processes just to get a blurry picture of the state of your operations. Manufacturing warehouses now have a bird’s eye view over everything going on across the factory floor in real-time. IoT connects machines, sensors, and operational systems throughout your whole operation. All of those have lots of data to share, especially about how different processes affect each other.
This connectivity creates a vast sea of data on the strengths and weaknesses of your operations. Manufacturing businesses can harness this connectivity and get real-time visibility. This in turn unleashes whole new levels of productivity and insight.
All that rich data is meaningless unless you have people in place with the time and skill to categorize and analyze it. The enormous amount of data collected makes this a challenge. That’s where AI comes in. AI algorithms were made to crunch mountains of data. It turns raw data into easy to understand reports. AI can make predictive insights based on these reports. You can use these insights to automate tasks and make smarter decisions. In short, AI makes your massive IoT investment pay off.
How an AI Skills Gap Can Hurt Your Manufacturing Business
While all of these technological advancements open up exciting opportunities, there’s one thing that still needs to be present to take full advantage of them: skilled human oversight. IoT and AI are great tools. And like any tool, they’re only as good as the person wielding them. It takes time and effort for anyone to learn to use them well.
There’s a new phrase LinkedIn has coined in its 2026 Talent Report: talent velocity. Talent velocity measures your team’s adaptation rate. It tracks how fast employees learn new skills. It also measures how quickly they apply fresh skills to innovation. According to the report, businesses that take talent velocity seriously outperform organizations who don’t in a number of key confidence metrics.
Why is My AI Investment Not Working?
The takeaway is that it’s not enough to have access to the latest and greatest tech. You need to also have skilled team members in place. These team members have to know how to get the most out of those tools. They should also be committed to regularly improving their skills. It’s great if the C suite of organization is gung-ho about embracing AI. It’s even better when they’re committed to investing in AI powered tech.However, excitement at the top doesn’t always equal proper utilization by the rest of the team.
Many teams use AI for simple tasks only. They fail to unlock its deeper strategic potential. Perhaps your team isn’t as enthusiastic about AI as your team leaders are. Learning a new skill can be intimidating, especially when there’s no straightforward training plan. The result is a slow return on a big technology investment. Effective use must become the main goal.
Three Steps to Close the AI Skills Gap Today
You can take concrete steps right now to help your team master AI tools.
- Focus on Targeted Training, Not Just General Courses: Don’t rely on generic, basic AI training. Train employees on your specific AI tools and show them how to apply AI to your unique workflows. Whenever possible, connect the training to daily manufacturing goals. This ensures direct, immediate application of new skills.
- Create a Culture of AI Exploration and Feedback: Culture starts at the top. Be sure your organization’s leadership sets the tone for AI adoption. This includes promoting skill training opportunities whenever possible. Encourage employees to test and play with AI by setting up internal AI “sandbox” environments. Be sure to reward teams for discovering new, efficient uses. This makes learning a continuous, collaborative process. Remember, regular feedback loops improve the entire system. Be open about talking about what both good and bad output looks like.
- Streamline Non-Core Tasks with Smart Automation: Talent velocity slows when teams do routine work. Fortunately, reducing routine work is a great way to introduce AI to your workforce. Use AI to automate tasks outside core manufacturing, especially for administrative burdens like HR and payroll. This frees your skilled employees for innovation work. They can then focus completely on high-value AI applications.
Close the AI Skill Gap with Workforce Go
Improving talent velocity requires smart systems. You need tools that simplify essential business tasks. Workforce Go is an AI-powered platform for the modern era. We efficiently manage HR functions and simplify Payroll and Time & Labor tasks. Our system is designed for simple, fast adoption. We also provide concierge customer service and regular training opportunities to ensure ease of use. This lets your team focus more on core growth and building the skills that will help them thrive in this new era of rapid technical advancement.
Ready to empower your team? Schedule a demo with Workforce Go today.
