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Paul Welty, PhD AI, WORK, AND STAYING HUMAN

· artificial-intelligence

AI and the Canadian workforce: A new era of jobs and skill development

Explore how AI reshapes jobs and skills in Canada, driving workforce evolution and new opportunities for growth and development.

I wasn’t able to find a specific quote from “Right Brain, Left Brain, AI Brain: AI’s impact on jobs and skill demand in Canada’s workforce January 2025” in the files provided. Could you provide more direction or details that might help me locate the right document? Alternatively, if there’s a key section you would like to highlight, please let me know so I can assist you more effectively.
AI and the Canadian Workforce: A New Era of Jobs and Skill Development

I couldn’t locate the document titled “Right Brain, Left Brain, AI Brain” from the excerpt included in the files. Could you please recheck the file or provide more information or a different document?

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 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.

Watch what they buy, not what they say

Forms ask people to declare preferences. Receipts record what they did. The gap between the two is where revealed preference lives, and it's wider than most product teams admit.

Bookmark: Mastercard exec wants companies to reskill workers before AI comes for their jobs

Mastercard's exec urges businesses to prioritize reskilling workers to prepare for the AI revolution and safeguard jobs.

Bookmark: Research: How gen AI is already impacting the labor market

Discover how generative AI tools are reshaping the gig economy, creating new opportunities, challenges, and transforming job roles in the labor market.

Bookmark: Marc Benioff says that from now on ceos will no longer lead all-human workforces—Enter the new era of AI coworkers

Discover how Marc Benioff envisions CEOs leading hybrid teams of humans and AI, transforming workforce dynamics and enhancing productivity.