While technical upskilling is a top priority for leadership, traditional training programs are yielding inconsistent results. The workers facing the most AI disruption are often the least likely to receive the training they need, a disconnect Workday's 2026 research describes as one of the clearest gaps between leadership intent and employee experience. Designing programs that actually reach them and build capability that transfers to the job requires a different approach.
LinkedIn's 2025 Workplace Learning Report captures the stakes. Nearly half (49%) of Learning & Development professionals describe the workforce readiness gap as a crisis. The concern is less about whether training exists and more about whether it is reaching the right people in time.
This gap between access and execution represents an operational risk. As new hires increasingly enter roles lacking applied, real-world experience, internal upskilling becomes the viable path to workforce readiness.
However, even as corporate training participation rises globally, the difference between workforce capability and employer expectations continues to widen. The 2025 World Economic Forum Jobs Report projects massive shifts in core skill requirements by 2030, but recent data proves that simply increasing enrollment is not enough. Participation alone is not closing the performance gap.
Coverage isn't the same as capability
Employees are completing their training, but often struggle to translate what they've learned into daily performance. That points to a structural problem with how most programs are designed rather than how much organizations are spending.
Deloitte frames the core issue as an experience gap rather than a skills gap. The hardest gulf for organizations to close is applied, contextual experience. Addressing AI workforce readiness requires rethinking what training is designed to produce.
There are a few barriers that prevent organizations from seeing the results they expect:
- High workloads force employees to deprioritize learning to focus on daily goals.
- Self-paced and asynchronous formats struggle to hold employee attention, with completion rates that rarely reflect meaningful skill transfer.
- Even when employees do participate, a significant portion find the material too abstract to translate into actual job performance.
These limitations often prevent traditional programs from delivering results. When coupled with substantial technology investments, the lack of workforce readiness becomes a financial constraint.
Workforce gaps are limiting AI returns
Organizations are investing hundreds of billions of dollars into artificial intelligence, but the ROI on those investments depends heavily on workforce readiness. So far, low readiness has limited its impact. Most companies say that AI improves productivity, but a Forrester survey shows that only 13% of companies report a positive Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA) impact. Everyone is pouring money into AI, but very few organizations are seeing financial returns.
This lack of financial return is directly tied to a lack of workforce readiness. When McKinsey surveyed leaders across 15 countries and 16 industries, 86% admitted their organizations aren't prepared to use AI in daily operations.
The technology is deployed, but the workforce is not equipped to integrate it effectively.
Organizations that achieve positive outcomes consistently invest in workforce capability alongside technology. Workday found that companies successfully leveraging AI actively reinvest saved time into upskilling their teams. In high-stakes technical environments, structured, applied training drives measurable performance improvements.
In cybersecurity, where the operational stakes of training quality are measurable, structured programs produced teams that identified threats 4.2 times faster and responded 51.6% faster than untrained counterparts, according to a 2025 IDC study.
The pattern is consistent; structured, role-aligned training is what separates organizations that are realizing AI value from those still running pilots.
The blueprint for effective upskilling
Closing the gap between training investment and workforce readiness requires a shift in how programs are designed and delivered. Training must reach working employees effectively, align with employer-defined roles, and build applied capabilities that translate directly into career progression and performance.
Per Scholas upskilling programs address these structural challenges through instructor-led, role-aligned delivery designed to integrate into their existing schedules without disrupting daily operations. Programs include hands-on lab components that build applied skills in real environments, not simulated exercises. By incorporating hands-on lab components, we move participants beyond abstract modules into contextual practice that directly transfers to the job.
Our upskilling programs are built to reach the employees most impacted by technological change, preparing them for internal promotion and saving organizations the cost of sourcing external talent. For organizations developing talent over a longer arc, apprenticeships offer a complementary path, combining structured mentorship with on-the-job learning to achieve similar outcomes in role-critical functions.
By customizing our curriculum to match employer-identified skill gaps, we ensure direct relevance to day-to-day workflows and mitigate the drop-off associated with self-paced learning.
Per Scholas delivers the conditions that facilitate lasting skill transfer. Talk to one of our talent experts to explore how to build an upskilling program that drives measurable workforce performance.