85% of workers can't connect AI training to their job

"Organizations moved quickly on tools, announcements and initiatives. They did not move quickly on building the human capacity to use them. The infrastructure employees rely on to upskill wasn't built for this rate of change. It was built for a slower, more predictable era of skill development. That era is over. And yet most companies are still running the same playbook: Deploy the tool. Schedule the training. Check the box. Move on."

AI adoption has shifted from whether organizations adopt it to whether people can use it. Tools function, but capability is missing because companies deployed AI before building workforce readiness. Adoption breaks down through multiple compounding barriers. Many workers remain focused on manual, pre-AI tasks and lack time to learn. When time becomes available, most workers cannot connect what they learn to their actual job responsibilities. Training also often occurs in systems disconnected from day-to-day work, preventing practical application. Organizations frequently follow a playbook centered on deploying tools, scheduling training, and checking completion metrics. This produces completion rates rather than real capability, while readiness is measured using procurement indicators like seats, licenses, and modules completed.

Read at Fast Company