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Paul Welty, PhD AI, WORK, AND STAYING HUMAN

· artificial-intelligence

Bookmark: Frustrated with today's 'attention economy'? You're really going to hate what comes next

Bookmark: Frustrated with today's 'attention economy'? You're really going to hate what comes next

Explore the rise of the intention economy and its privacy risks, driven by AI advancements that predict and monetize your future choices.

The concept of the “intention economy” refers to a digital market where companies prioritize predicting and monetizing individuals’ future behaviors and decisions rather than simply capturing their current attention. This emerging economic model is driven largely by advancements in AI, particularly through the deployment of AI chatbots and large language models (LLMs). These technologies gather and analyze user data to discern patterns, motivations, and potential actions, which are then commodified. The “attention economy,” by contrast, focuses on captivating consumer attention to sell ad space or products. The concern with the intention economy is its profound privacy implications, as it shifts control over personal data and foresight to corporate entities. Protection against such encroachments involves vigilant safeguarding of personal data, critically assessing consent terms, and fostering greater regulatory oversight to ensure ethical data use practices. Additionally, individuals need to be conscious of their engagements with AI tools and platforms, recognizing that even seemingly benign interactions may contribute to this predictive commodification.

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.

How do I get my dev team to adopt AI?

A stub on helping mixed-interest development teams find their own useful ways into AI.

Want to learn about agents? Talk to someone who ran an agency.

I spent 20 years running consulting engagements at Fortune 500 companies. Turns out that's the best preparation for running a fleet of AI agents ... because the problems are identical.

Your AI agents need a water cooler

We run a twelve-session AI fleet that coordinates through an IRC breakroom. A friend asked: why are you making AI agents act like humans? The answer turned out to be more interesting than the question.

AI didn’t deskill us, we were already deskilled

This article challenges the narrative that AI is deskilling workers, instead highlighting how many jobs were already mechanical. It offers a thought-provoking perspective on how AI could be an opportunity to reclaim and enhance human skills.

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This article offers a critical perspective on how AI is reshaping the job market and challenges leaders to focus on uniquely human skills like judgment and responsibility, providing valuable insights for anyone interested in the future of work and leadership.

AI slop: The hidden cost of poor integration

This article challenges the notion that job crafting is the key to successful AI integration, offering a fresh perspective on the importance of a clear strategy to prevent chaos and enhance organizational efficiency.