Understanding the Data: AI & Workforce Readiness

The release of DataCamp’s 2026 State of Data & Literacy Report last week shows that we have a problem to solve: expectations for AI are far surpassing what workers are trained and prepared for. Two oppositional forces are colliding. Leaders see the ROI of data and AI skills. They expect the people on their teams to be working with AI across every function and they know the stakes if they get this wrong. But there is a lingering skill gap that persists. Because AI is so new we haven’t built the right systems to help workers get up to speed. 

Traditional training is passive and disconnected from real work flows, prioritizing one way transmission of generic information that time crunched workers too easily tune out. It is too static and stale, and was never built for skills that evolve as quickly as AI or need to scale broadly across organizations. 

We’re moving into a new phase of AI, where leaders get the hype and what it can do. But they want to see it connect to real impacts and see that their workforces can deliver returns against their investments. But our research shows time and again that people need to be bought along with the technology. If AI is going to be deployed as effectively as we want, we’re going to need to design a better approach to learning.

Catch more HRTech Insights: HRTech Interview with Bernard Barbour, Chief Technology and Product Officer at Skillsoft

The Challenge: Workforce Readiness is Foundational to ROI

Capturing the much-lauded potential of AI for businesses is as much about people as it is about technology. For AI to generate a positive impact, people have to know how to use them and consistently integrate them into their day-to-day workflows. 

Intuitively, most of us understand this. In fact, almost 90% of the senior leaders surveyed for DataCamp in our 2026 report rank data literacy skills as more important than table stakes capabilities like writing or project management, with AI not far behind, indicating they know the value of their teams’ role in translating technology into productivity gains.

Yet, despite this widespread alignment on the importance of workforce readiness, 60% of leaders surveyed admit to internal skill gaps with AI and data literacy and less than half of those we surveyed said their organizations provide basic data or AI literacy training. Current training resources were widely viewed as inadequate, with respondents citing concerns that they are too passive, difficult to apply, and insufficiently connected to real-world applications and workflows. 

When investments in emerging tech platforms outpace organizational readiness to use those tools, businesses leave money on the table. 

Solutions: Re-Imagining Workforce Training & Development

There is good news for many businesses working to unlock the potential of AI. According to DataCamp’s recent report, organizations with mature training programs were twice as likely to report seeing a positive ROI on AI investments. These training programs shared a few characteristics that underpin their effectiveness:

• • Scope: The approach to workforce development was company-wide, vs. limited to a single team or department.
  • Role-based: While training programs included the entire organization, they provided targeted resources based on role to ensure that employees knew how to integrate technology into their specific workflows.
  • Designed for Engagement: Effective training programs elicited participation and required the application to engage on the key skills vs. simply broadcasting information.

• Incentivized: DataCamp’s research shows that the majority of senior leadership view AI-literate employees as top performers. These employees were seen by senior leaders as around 20% more productive, and senior leaders were willing to pay a salary premium that ranged most commonly between 10 and 30%. Visibly recognizing these skillsets as providing value increases the energy behind completing and implementing learnings from training programs.

This training approach is a departure from the current baseline for learning and development programs. But getting this right is in our grasps – especially with more adaptive and intuitive development platforms. Just as technology has presented challenges for some members of the workforce, AI can also provide a solution when leveraged to invest in people.

About DataCamp

DataCamp teaches companies and individuals the skills to work with data and AI in the real world.

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