Stop Training People in Batches

Hyper-personalized teaching and employee development are becoming technically feasible. Most institutions are not ready to admit what that means.

I sat in a classroom recently and felt that familiar unease.

A lecturer. A lot of slides. A hybrid setup left over from COVID that served no one particularly well. And a room full of people with completely different starting points, confidence levels, and speeds of processing what was being said.

A few were already past the material. You could see it — the quiet phone checks, the secondary tabs, the polite patience of people who had already been here. Others were visibly struggling to keep up. Not because they were less capable. Because the pace was set for a fictional average person who was not actually in the room.

That gap is not unusual. It is the default. It has been the default for as long as there have been classrooms.

The Classroom Has Changed Less Than the World Around It

The same pattern runs through companies. A handful of employees are living at the edge of what is current. Others are quietly falling behind. The gap widens because admitting it publicly is expensive — socially, professionally, sometimes politically — and the longer it goes unaddressed, the harder it becomes to close.

The systems around them still assume everyone moves at the same speed.

They do not.

Most Learning Is Still Organized Like Batch Processing

That is the actual problem, and it is worth saying plainly.

Schools still teach groups as if exposure were the same thing as learning. Companies still develop employees as if distributing content were the same thing as building capability.

The results are predictable. Some people are bored. Some are lost. Most learn less than they could. And the organization pays for it quietly, in performance gaps no one can easily trace back to a training budget line.

Even where the pressure to stay current is highest — the workplace — adult learning is still often shallow and generic. The OECD reports that health and safety training is the most common type of non-formal job-related learning, that 42 percent of such activities last one day or less, and another 40 percent last between one day and one week. The OECD also notes that over-reliance on short formats limits deeper reskilling. (OECD)

That should not surprise anyone. Short generic modules are easy to procure, easy to assign, and easy to report upward. They just are not especially good at closing real capability gaps. They are good at creating the appearance of closing real capability gaps, which is a different thing.

The Skills Problem Is Bigger Than Most Institutions Admit

The labor market is moving faster than the systems designed to prepare people for it.

The World Economic Forum expects 39 percent of workers’ core skills to change by 2030. LinkedIn’s 2025 Workplace Learning Report found that 49 percent of learning and development professionals say their executives are worried employees do not have the right skills to execute business strategy. (World Economic Forum)

That is not a future problem. That is a current one, already showing up in hiring difficulties, project delays, and leaders quietly doing workarounds because the team cannot yet do what the strategy requires.

The OECD adds a sharper point. One in three job vacancies in OECD economies now has high AI exposure, but the vast majority of affected workers will not need to become AI specialists. They will need general AI literacy — enough to use, question, and collaborate with AI systems without being either afraid of them or naive about them. (OECD)

That changes the job of training entirely. The challenge is no longer sending a small expert class to expensive courses every few years. It is keeping a broad workforce current in smaller, role-specific, repeated learning loops. That is a different infrastructure problem. Most organizations are not set up for it.

Degrees Every Ten Years Are the Wrong Update Cycle

Many institutions still behave as if capability can be refreshed in large, infrequent blocks.

Go back to university. Attend a certificate program. Watch a video library. Read a stack of papers. Then return to work and hope the update holds for a few years before the next refresh.

That model is too slow for the environment we are in. Not slightly too slow. Structurally mismatched.

Deloitte’s 2026 Global Human Capital Trends report is direct about this. Traditional change management and training may be too slow as the pace of change accelerates, and the organizations that win will build always-on, real-time adaptability into work itself. (Deloitte)

Learning is moving from periodic intervention to continuous infrastructure. That is not a trend to watch. It is a redesign that is already under way in the organizations paying closest attention.

What the New Technology Actually Changes

The important shift is not that AI can explain things.