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Paul Welty, PhD AI, WORK, AND STAYING HUMAN

· education

Bookmark: How leading universities are preparing the future workforce with digital and human skills

Bookmark: How leading universities are preparing the future workforce with digital and human skills

Discover how top universities are equipping future professionals with essential digital and human skills to thrive in an AI-driven job market.

“With over 5,800 university courses on Coursera, they now make up more than 60% of the entire catalog and accumulated over 24 million enrollments in 2024 alone.”
How leading universities are preparing the future workforce with digital and human skills

Leading universities are increasingly preparing the future workforce by integrating digital and human skills into their curricula. With online enrollment growing faster than on-campus programs across many U.S. institutions, universities are expanding their offerings on platforms like Coursera. In 2024, nine additional universities, including Clemson University and the University of Oxford, joined this trend, contributing to over 650 new courses, primarily in business, data science, and computer science. A significant portion of these courses addressed the burgeoning field of Generative AI (GenAI), aligning with its expected growth trajectory.

Noteworthy courses attracting learners included project management, communication, and AI-driven applications, reflecting the urgency of these skills in modern employment landscapes. Courses in managing financial risk, machine learning models, and language proficiency from institutions like Yale and Stanford saw high enrollment numbers. Universities continue to emphasize foundational skills such as leadership, writing, and emotional intelligence, responding to a workforce increasingly dominated by AI. These institutions remain pivotal in cultivating essential transferable skills, with courses like “The Manager’s Toolkit” and “Leadership Skills” exemplifying this role, ensuring adaptability in evolving job markets.

The agent-shaped org chart

Every real org has the same topology: principal, role-holder, specialists. Staff AI maps onto it, node for node, and the cost collapse shows up in the deliverables that were always just human-handoff overhead.

AI as staff, not software

Two frames for what AI is doing to work. The tool frame makes tools smarter. The staff frame makes roles unnecessary. Those aren't the same product, the same company, or the same industry.

Knowledge work was never work

Knowledge work was always coordination between humans who couldn't share state directly. The artifacts were never the work. They were the overhead — and AI just made the overhead optional.

The work of being available now

A book on AI, judgment, and staying human at work.

The practice of work in progress

Practical essays on how work actually gets done.

The file I almost made twice

A small operational footgun that runs everywhere — building a parallel system when the one you have is fine.

The actor doesn't get to be the verifier

The worker isn't lying. The worker is reporting what it thought it did, which is always one step removed from what the world actually shows. The fix isn't more self-honesty. The fix is a different pair of eyes.

Shopping is the last mile

Every meal planning app treats cooking as the hard problem and shopping as a logistics detail. They have it backwards. Cooking is mostly solved. Shopping is the last mile.

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