Jobs at risk due to AI by 2030
The article discusses a study by the McKinsey Global Institute that predicts nearly 12 million US workers may need to switch jobs by 2030 due to the impact of AI and other factors. Lower-wage workers are expected to be most affected, with up to 14 times more likely to need to change occupations. The study identifies four categories of jobs that will see the most declines: office support, customer service and sales, food services, and production work. However, higher-wage professions in industries like healthcare, tech, and transportation are expected to grow.
Original article: 4 careers where workers will have to change jobs by 2030 due to AI and shifts in how we shop according to a McKinsey study
Featured writing
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.
Books
The Work of Being (in progress)
A book on AI, judgment, and staying human at work.
The Practice of Work (in progress)
Practical essays on how work actually gets done.
Recent writing
We always panic about new tools (and we're always wrong)
Every time a new tool emerges for making or manipulating symbols, we panic. The pattern is so consistent it's almost embarrassing. Here's what happened each time.
Dev reflection - February 03, 2026
I've been thinking about constraints today. Not the kind that block you—the kind that clarify. There's a difference, and most people miss it.
When execution becomes cheap, ideas become expensive
This article reveals a fundamental shift in how organizations operate: as AI makes execution nearly instantaneous, the bottleneck has moved from implementation to decision-making. Understanding this transition is critical for anyone leading teams or making strategic choices in an AI-enabled world.
Notes and related thinking
GPT-4 pitches more successful
Discover how GPT-4-generated pitches outperform human ones, securing funding three times more effectively across various industries.
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.
Many businesses are not yet prepared to fully reap the benefits of AI.
Unlock AI's true potential for your business by integrating it into your strategy, boosting productivity, and enhancing customer experiences.