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Paul Welty, PhD AI, WORK, AND STAYING HUMAN

The game-changing impact of AI

The game-changing impact of AI

Explore how AI is revolutionizing healthcare, finance, education, retail, and HR, creating new opportunities in 2024 and beyond.

In 2024, artificial intelligence (AI) is expected to have a significant impact on various sectors. In healthcare, AI is being used to develop predictive models for disease diagnosis and personalized treatment plans. In the financial sector, AI algorithms are being implemented for fraud detection and risk assessment. In education, AI is being used to personalize learning experiences and automate administrative tasks. In retail, AI has transformed supply chains and enhanced customer experiences. In human resources, AI is streamlining recruitment processes and predicting employee attrition. Overall, AI is revolutionizing industries and creating new opportunities for professionals.

https://www.europeanbusinessreview.com/practical-applications-of-ai-courses-in-2024-success-stories-and-career-impact/

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.

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.

What the API decides not to show you

Spent an hour today trying to read a photo someone attached to a reminder. The bytes are right there on disk. Apple won't let me see them. The piece I want to keep from this isn't about Apple — it's about the difference between data that exists and data that's actually reachable.

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Atlassians choose where they work, every single day. Download our free report to see what we’ve learned as a result.

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