120 Million Workers
Won’t Get the Reskilling
They Need. Will Yours?
New research this week puts a number on the reskilling crisis most organizations know is coming but have not yet fully confronted. 120 million workers globally are at medium-term risk because their organizations will not invest in preparing them. The leaders who act now will not just protect their people — they will create a workforce advantage that is very difficult to replicate.
The conversation always goes the same way. The Head of Learning presents the training calendar. The CFO asks what the ROI is. Nobody has a clean answer. The budget gets trimmed. The conversation moves on.
Meanwhile, somewhere in the operations team, a coordinator named Marcus has spent the last six months watching an AI agent do 60% of what his job used to require. He has not received any guidance on what his role is evolving toward. He has not been given any new skills. He has not been told whether the organization sees a future for him in the AI-augmented environment. He is doing his job well — the 40% that still requires him — but he is doing it with a quiet, growing certainty that the organization has not thought about what happens next for him.
Marcus is not the exception. He is the 120 million.
— A composite story grounded in the Gloat / WEF workforce research published this week.This week’s Gloat / Future of Work research on 2026 AI workforce trends puts a number I want every operational leader to sit with: 120 million workers globally are at medium-term risk of redundancy — not because AI is replacing them overnight, but because their organizations are unlikely to invest in the reskilling that would keep them relevant. That is not an abstract statistic. It is the aggregate of a thousand budget decisions like the one in the scene above, made by people who care about their teams but have not yet treated reskilling as the strategic investment it actually is.
What This Week’s Research Actually Tells Us
“Organizations that treat learning as a core business function — not an HR afterthought — are positioning themselves to win. The 120 million at risk are mostly in organizations that have not made that shift yet.”— Gloat Future of Work Research, May 2026
The Three Reskilling Situations — Which One Is Your Organization In?
AI is being deployed into workflows. Roles are changing. But the learning infrastructure has not been updated, the role descriptions have not been redesigned, and the career paths have not been adjusted to reflect the new environment.
These organizations are accumulating the Marcus problem — capable people who are doing their jobs well in a world that is no longer fully asking for what they bring.
Deloitte’s 2026 data shows that 53% of organizations are raising AI fluency — but only 33% are redesigning career paths and role structures. The education is happening; the organizational design is not keeping up.
People understand AI better but cannot see where they fit in the AI-augmented organization. Understanding without career clarity creates anxiety, not momentum.
These organizations have made three shifts simultaneously: AI fluency building across the workforce, role redesign to reflect the AI-augmented environment, and career path visibility so people can see what their future looks like.
PwC’s wage data confirms it: workers with AI skills command 56% higher wages. Organizations building this are not just protecting people — they are building a talent premium.
What Organizations That Are Getting This Right Are Doing — From Deloitte’s 2026 Research
Deloitte’s State of AI in the Enterprise 2026 identifies the specific talent strategies organizations are deploying. The percentages represent adoption rates — and they reveal exactly where most organizations are still underinvesting:
Educating for Broader AI Fluency
More than half are building general AI literacy across the workforce. This is the most common investment — and the least sufficient on its own without the organizational design changes that give fluency somewhere to land.
Designing Upskilling & Reskilling Programs
Nearly half are moving beyond general literacy to structured reskilling — role-specific capability development tied to where the organization is going, not just where it has been.
Redesigning Career Paths
Only one in three are doing the work that makes the rest sustainable: rebuilding career trajectories so people can see their future in an AI-augmented organization — not just learn new skills and wonder what they are for.
Providing Performance-Based AI Incentives
Fewer than a third are formally rewarding AI capability development. Organizations that pay for AI skills in the market but do not reward their own people for building them are funding a retention problem.
Why Well-Intentioned Reskilling Programs Fail to Protect People
Treating It as a Training Initiative, Not a Business Strategy
The organizations succeeding at reskilling have moved it from the L&D calendar to the business strategy. It is on the CEO agenda, on the board scorecard, and measured against workforce capability outcomes — not completion rates.
Building for the Average Employee Instead of for the Specific Role
Generic AI literacy training reaches everyone and moves no one. The organizations building real capability are mapping the specific skills each role needs in its AI-augmented form — and building targeted development around that map.
Not Telling People Where They Are Going
Reskilling without career clarity creates anxious, trained employees. The organizations retaining their Marcus are the ones that combine the skill development with a specific, visible career trajectory — so he knows the reskilling is an investment in his future, not a consolation prize.
Starting After the Disruption Is Visible
The 120 million at risk are not waiting for organizations to notice the problem. The reskilling window closes faster than most leaders expect — because capable people do not wait to find out what their organization has planned for them. They make their own plans.
Cutting the Budget When AI Investment Rises
The most consistent pattern in organizations accumulating the reskilling gap: AI tooling budgets go up; learning and development budgets go down. These are not competing priorities. They are interdependent ones. The tool budget without the people budget produces adoption dashboards and underwhelming outcomes.
Marcus received a conversation — not a training module. His manager sat with him for an hour and walked through what his role was evolving toward: from processing coordinator to AI workflow supervisor. She showed him the specific capabilities the organization wanted to build in him. She showed him what the role looked like in 18 months — and why his operations knowledge made him exactly the person to grow into it.
He enrolled in the reskilling program that week. Not because he was told to. Because for the first time in the transformation, someone had shown him where he was going — and it looked like somewhere worth going to.
— The outcome of treating reskilling as a business strategy and a human conversation.We Build Reskilling Programs That Protect Your People — and Create a Workforce Advantage.
MindFinders approaches reskilling the same way we approach every people challenge: as a business strategy first, not an HR initiative. We help organizations map the specific capability gaps the AI transition creates in each role, design targeted reskilling programs that address those gaps, redesign career paths so people can see their future, and build the organizational culture that treats learning as infrastructure — not overhead.
- We conduct role-by-role capability mapping against your AI deployment roadmap — identifying exactly who needs what, when
- We design targeted reskilling programs that build specific capabilities, not generic literacy
- We rebuild career paths for AI-augmented roles so people can see where they are going
- We create performance frameworks that reward AI capability development formally
- We help organizations have the Marcus conversation — before he starts updating his LinkedIn profile
“120 million workers are at risk because their organizations will not invest in reskilling them. The ones that do will not just protect their people — they will build a workforce that compounds in capability while everyone else’s atrophies.”— Kelli Gilmore, COO, MindFinders
Is Your Workforce Being Prepared for the AI Transition — or Left Behind By It?
Let’s map your reskilling gap, identify the Marcuses in your organization, and build the targeted development strategy that turns your AI investment into a human capital advantage.
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