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Paul Welty, PhD AI, WORK, AND STAYING HUMAN

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The declining popularity of after-work socializing

The declining popularity of after-work socializing

Explore how employees prioritize work-life balance over after-work socializing, reshaping corporate culture and event planning.

The key insights from this article are that many employees are becoming less interested in after-work socializing and are prioritizing a work-life balance. They are adopting a stricter attitude towards their work schedules and are choosing to clock out and avoid socializing with co-workers. Corporate event planners are facing pushback for fall activities and weekend work-related functions. This shift in attitude is attributed to a desire to draw thicker lines between work and personal life.

Original article: 5:01 and Done: No One Wants to Schmooze After Work

Why customer tools are organized wrong

This article reveals a fundamental flaw in how customer support tools are designed—organizing by interaction type instead of by customer—and explains why this fragmentation wastes time and obscures the full picture you need to help users effectively.

Infrastructure shapes thought

The tools you build determine what kinds of thinking become possible. On infrastructure, friction, and building deliberately for thought rather than just throughput.

Server-side dashboard architecture: Why moving data fetching off the browser changes everything

How choosing server-side rendering solved security, CORS, and credential management problems I didn't know I had.

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 most important thing a leader can build is the conversation that happens when they leave the room. Today, five departments started sharing fixes, cracking jokes, and solving each other's problems — without being asked.

I ran my AI agency's first real engagement. Here's everything that happened.

Five AI personas. One client onboarding. Fifteen minutes of things going wrong in instructive ways.

The costume just got cheap

If 80 percent of what you thought was judgment turns out to be pattern recognition, what does that say about you? Not about your job — about you.

Jasper is a useful tool for developing employee training.

Transform employee training with Jasper by aligning programs to business goals, engaging diverse learning styles, and using innovative methods for success.

The IMF warns about AI’s impact on inequality

IMF warns AI could deepen global inequality, urging policymakers to implement safety nets and retraining programs to protect vulnerable workers.

It’s going to take a century for artifical intelligence to be able to perform most human jobs. But there are going to be some key developments during the next decade.

Explore how AI will transform jobs in the next decade, from enhancing security to automating coding, reshaping the future of work.