Skip to main content
Paul Welty, PhD AI, WORK, AND STAYING HUMAN

· artificial-intelligence

Bookmark: 41% of employers worldwide say they’ll reduce staff by 2030 due to AI

Explore how AI will reshape the workforce by 2030, with 41% of employers expecting staff reductions and new job opportunities emerging.

The World Economic Forum’s bi-annual survey reveals significant expectations for AI’s impact on employment, with a dual focus on job displacement and skill augmentation. By 2030, 41% of employers predict AI will reduce their staffing levels due to automation, although a majority, 77%, plan to train staff in AI competencies, indicating AI’s dual impact on job transformation and human workforce collaboration. Covering 1,000 employers and 14 million workers across 22 industries, the report underscores a skills gap with AI, big data, networks, and cybersecurity as burgeoning areas. Creative thinking, resilience, flexibility, agility, curiosity, and lifelong learning also emerge as crucial skills. Notably, roles like graphic designers and legal secretaries are poised for decline due to AI’s growing capabilities, such as generating complex graphics easily. Despite this, the report forecasts a net job growth of 78 million jobs, driven by new job creation outpacing employment displacement, equating to a 7% growth in total employment by 2030. Employers also stress health and well-being in attracting talent, especially pertinent in the U.S. due to its unique healthcare system. The report highlights increased productivity from AI-augmented human tasks, suggesting concerns over job scarcity may be unfounded as technology enhances human productivity by performing higher-value tasks.

41% of employers worldwide say they’ll reduce staff by 2030 due to AI

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 day we shipped two products and the agents got bored

112 issues across 12 projects. Two new products went from nothing to code-complete MVP in single sessions. And the most interesting signal wasn't the speed — it was the scout that came back empty-handed.

The org chart your agents need

The AI community is reinventing organizational design from scratch — badly. Agencies figured this out decades ago. Competencies, not clients. Briefs, not prompts. Lateral communication, not hub-and-spoke. The answers are already there.

AI agents need org charts, not pipelines

Every agent framework organizes around tasks. The agencies that actually work organize around competencies. The AI community is about to rediscover this the hard way.

Bookmark: Fearing AI will take their jobs, workers plan a long battle against tech – The markup

Workers unite to tackle AI job threats, advocating for rights and transparency as they navigate the evolving tech landscape.

Bookmark: GenAI comes for jobs once considered ‘safe’ from automation

Generative AI is reshaping secure jobs in education, finance, and ICT, creating both challenges and opportunities for adaptation in urban areas.

Bookmark: AI is going to eliminate way more jobs than anyone realizes

AI is set to disrupt millions of jobs, demanding urgent workforce reskilling while creating new opportunities in the evolving job market.