Everyone Is Using AI. Almost Nobody Is Trained For It.
What Skillsoft's 2026 research tells us about the real cost of skipping training — and what L&D teams should do about it.
Suggested meta description: New Skillsoft research shows 86% of employees use AI at work but only 24% feel equipped to use it well. Here's what the training gap costs — and how to close it.
There's a comfortable story that a lot of brokerages tell themselves right now: we've rolled out AI tools, adoption is strong, our people are getting on with it.
Research published by Skillsoft in June 2026 suggests that story is mostly wishful thinking.
The Skillsoft Workforce Readiness Report: AI Edition surveyed 2,000 full-time employees, managers, and executives across North America, the UK, and Germany. While 86% of employees said they use AI tools at work, only 24% felt fully equipped with the skills to use them effectively and drive results.
Adoption isn't the problem. Capability is.
The 53-point blind spot
The most uncomfortable number in the report isn't about employees at all. It's about the gap between what leaders believe and what their teams experience.
Think about what that means operationally. Budget decisions, project staffing, transformation timelines, and risk assessments are all being made by people who believe their workforce is three times more ready than it actually is. As Skillsoft's Chief People Officer Ciara Harrington put it, "Organizations cannot afford to confuse AI adoption with AI readiness."
The gap doesn't announce itself. It shows up later as missed deadlines, inconsistent output quality, rework, and quiet workarounds.
Three structural failures behind the gap
Skillsoft's data points to three specific breakdowns — and none of them are about employees lacking motivation.
1. Almost nobody is measuring skills
Only 11% of employees reported receiving any formal skills assessment or benchmark. Without measurement, an brokerage has no reliable picture of what its workforce can actually do.
It gets worse downstream. Sixty-nine percent of employees said they were only "somewhat" or "not very" clear on which skills matter in their role, and just 28% strongly agreed their job description reflected their actual day-to-day work.
If people don't know what they're supposed to be good at, no amount of course catalogue is going to fix it.
2. Training arrives after the tools do
This is the finding that should stop every L&D leader mid-scroll: only 16% of employees receive training before a new AI tool is rolled out.
The sequence has been inverted. Deploy first, train later, hope the gap closes on its own. It rarely does — it just becomes normal. And when training does become available, the barrier isn't content quality. Fifty-nine percent of employees named lack of time as the single biggest obstacle to building new skills.
3. Governance is inconsistent or absent
Fewer than 1 in 10 employees said their brokerage had comprehensive AI governance in place. Twenty-one percent said they received no AI guidance at all, and 31% said the rules varied depending on their team or manager.
Unsurprisingly, 20% of employees are cautious about or actively distrust the AI tools they've been handed. That hesitancy is a rational response to ambiguity, not a training problem you can solve with an e-learning module on prompt writing.
Why this is urgent rather than merely interesting
The half-life of a skill is shrinking. In its February 2026 platform announcement, Skillsoft cited global research indicating that roughly 40% of core workplace skills are expected to change by 2030 as AI and emerging technologies reshape how work gets done.
Meanwhile, entry-level work is being redefined. Twenty-nine percent of employees expect AI to reduce entry-level positions, while 36% anticipate a shift toward problem solving and collaboration. The bottom rung of the career ladder — historically where brokerages built their own talent — is changing shape while most companies are still writing job descriptions for the old version.
There's also a telling detail about what employees actually want from training. Roughly 45% of employees and leaders said training is primarily about building confidence in their current role — not chasing the next promotion, just staying credible in the job they already have. That's a workforce running to stand still.
From training programmes to a training system
Skillsoft's framing here is worth borrowing regardless of which vendor you use. Their CEO, Ron Hovsepian, noted that customers' challenge is bigger than simply providing access to learning — the real question is whether the workforce is ready for what's next.
Access is a solved problem. Nearly every brokerage has a content library. What most lack is the connective tissue: knowing which skills exist, which ones matter, where the gaps are, and whether learning is translating into performance.
Four things separate organizations that close the gap from those that keep funding it:
Measure before you train. Baseline assessments turn "we should upskill on AI" into a specific, prioritized list. Without them, you're buying content and hoping.
Train ahead of deployment, not behind it. Enablement should be part of the rollout plan, not the remediation plan. If a tool goes live on the 1st, training starts before it.
Protect the time. Fifty-nine percent of people citing time as the barrier is a scheduling and management problem, not a learning problem. Learning that isn't on the calendar doesn't happen.
Set one standard, company-wide. Guidance that varies by manager isn't guidance. Clear, consistent policy is what converts cautious users into confident ones.
Close the loop. Track skill growth against business outcomes — project delivery, quality, error rates, time-to-competency. If you can't connect learning to results, your budget will always be the first one cut.
The takeaway
The readiness gap isn't a technology problem. It's a workforce strategy problem — and it's entirely fixable, but not by adding more courses to a library nobody has time to open.
The brokerages that pull ahead over the next two years won't be the ones that adopted AI earliest. They'll be the ones that built a system for continuously identifying, developing, and measuring the skills their strategy actually depends on.
Sources
Skillsoft, Workforce Readiness Report: AI Edition, June 10, 2026
Skillsoft, Skillsoft Leads the Shift to Skills Management for Workforce Readiness, February 4, 2026
Skillsoft, What is the Skills Supply Chain™?, skillsoft.com/blog