Work changes fast. New tools arrive, roles grow, and processes shift. Often, the training just doesn't keep up. That gap is learning debt. It builds up quietly and shows up in small ways. Like a normal week turning into a scramble because one key person is on vacation. Let's look at what this looks like in daily work, why we ignore it, and how to start paying it down.
While some semblance of normality is likely to return in due course, the precise form of that return to routine remains far from certain. Of 1,250 British respondents quizzed for their views, widespread apprehension was recorded relating to 'pent up' emotions built up over months of lockdown. Acknowledging that social distancing measures are likely to translate into fewer instances of physical harassment, the report considers the pessimist's side of the coin - in that fewer staff may make individuals more vulnerable.
In the fast-evolving landscape of work, organizations across industries are under growing pressure to ensure employees are equipped with the skills they need quickly and effectively. Whether it's onboarding new hires, upskilling existing teams, or keeping up with regulatory compliance, training has become a critical function where they can't afford to be inefficient. However, traditional training methods often demand significant time investments from both learners and L&D teams, sometimes without delivering the desired performance results.
A new survey reveals a striking "AI readiness gap" in the modern workplace: those using AI tools the most-including top executives and Gen Z employees-are often the least likely to receive meaningful guidance, training, or even company approval for their use. The findings come from WalkMe, an SAP company, which surveyed over 1,000 U.S. workers for the 2025 edition of its " AI in the Workplace " survey.
Fifteen years ago, being 'computer literate' meant you could navigate Windows or macOS with ease, troubleshoot a printer jam, and perhaps install new software without calling tech support. In 2025, that definition feels outdated. Today's digital workplace runs on applications, mobile devices, and increasingly, AI-powered platforms that handle much of the complexity behind the scenes. How to effectively and efficiently use the array of technologies businesses now employ, has become critical.
