20 Articles about how AI is Affecting Jobs

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AI Can’t Touch These Skilled Trade Jobs. If Only Enough Humans Would Fill Them. – Wall Street Journal 

The AI question every job candidate on interview should be prepared to answer – CNBC

The job replacement AI machine - Axios 

Can AI do your job? See the results from hundreds of tests. – Washington Post

Behind the Curtain: The job replacement AI machine – Axios  

The Problem With Letting AI Do the Grunt Work Artificial intelligence is destroying the career ladder for aspiring artists– The Atlantic  

Workday and Alix Partners data shows AI's productivity paradox is real - Axios

Job Seekers Find a New Source of Income: Training AI to Do Their Old Roles – Wall Street Journal

Why the McKinsey layoffs are a warning signal for consulting in the AI age – Fast Company  

There's new evidence that instead of bringing on a job apocalypse, AI is creating more work and jobs - Axios 

Finding Meaningful Work in the Age of Vibe Coding  - KD Nuggets 

Entry-level tech workers describe the AI-fueled jobpocalypse – Rest of World

Replace your boss before they replace you – Replace your Boss

Say Goodbye to the Billable Hour, Thanks to AI – Wall Street Journal

AI may discriminate against you at work. Some states are making it illegal. - Washington Post

What AI Skills Should Hiring Employers Look For? How to Define and Seek Out Workers with “AI Literacy” – JD Supra

Spooked by AI and Layoffs, White-Collar Workers See Their Security Slip Away – Wall Street Journal

The Forrester AI Job Impact Forecast, US, 2025–2030 - Forrester

When A.I. Took My Job, I Bought a Chain Saw – New York Times 

The surprising truth about AI’s impact on jobs – CNN

Saying "no" to 1,000 things

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People think focus means saying yes to the thing you've got to focus on. But that's not what it means at all. It means saying no to the hundred other good ideas that there are. You have to pick carefully. I'm actually as proud of the things we haven't done as the things I have done. Innovation is saying "no" to 1,000 things. 

Steve Jobs

A way to create finished, bug-free programs without human intervention

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Users of Claude Code, Anthropic’s software-writing AI system, recently discovered a way to create finished, bug-free programs without human intervention. The trick: Write a small program that asks the AI, over and over again, to improve the code it has already written. Named the Ralph Wiggum technique, after the dimwitted but persistently optimistic “Simpsons” character, this simple trick is effective at forcing Claude Code to solve problems on its own. - Wall Street Journal

11 Articles about AI & the Bigger Questions

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Don’t Passionately Settle

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On golf courses, one may find some aging men and women whose chief remaining goal in life is to knock a few more strokes off their game. This dedicated effort to improve their skill serves to give them a sense of progress in life and there by assists them in ignoring the reality that they have actually stopped progressing, having given up the effort to improve themselves as human beings. If they loved themselves more they would not allow themselves to a passionately settle for such a shallow goal and narrow future. 

M Scott Peck, The Road Less Traveled

16 Articles about the Limitations of AI

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What Makes an AI More Persuasive

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A new study “examined what factors make one chatbot more persuasive than another and found that AI models needn’t be more powerful, more personalized, or more skilled in advanced rhetorical techniques to be more convincing. Instead, chatbots were most effective when they threw fact-like claims at the user; the most persuasive AI models were those that provided the most “evidence” in support of their argument, regardless of whether that evidence had any bearing on reality. In fact, the most persuasive chatbots were also the least accurate.” -The Atlantic

AI Definitions: AI engineers 

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AI engineers – AI engineers work on the front end of AI machines, building AI-powered applications. On the other side, data scientists help collect and clean data and work with AI to make sense of it. Unlike those working in traditional IT roles, AI engineers will fix the AI when it breaks by digging through the layers to determine why it went wrong and how to repair it. Like a plumber, they’ll snake the pipes to clear out the system and figure out how to avoid the problem next time. This will be particularly important for models that have been highly customized to an organization.

More AI definitions

Study: Can Chatbots get People to Change their Vote?

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"Roughly one in 10 participants in a study said they would change their vote in highly contested national elections in Canada and Poland after talking with a chatbot. The AI models took the role of a gentle, if firm, interlocutor, offering arguments and evidence in favor of the candidate they represented. 'If you could do that at scale,' the senior author on the study said, 'it would really change the outcome of elections.'” -The Atlantic

AI Definitions: Data Scientist

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Data Scientist - A data scientist is responsible for gleaning insights from a massive pool of data. They help collect and cleanse data, then work with the AI to make sense of it, often through discovering patterns. Data scientists typically hold advanced degrees in quantitative fields such as computer science, physics, statistics, or applied mathematics. With a strong understanding of math and statistics, they can invent new algorithms to solve data problems. They typically use programming languages such as Python, R, and SQL. Data scientists will be familiar with big data tools such as Hadoop and Apache Spark and will have experience working with unstructured data. If someone doesn’t list these skills on their resume, then that person probably isn't an authentic data scientist. AI advancements have shifted the role from number crunching to one of supervisory, strategic, and ethical oversight. Instead of producing hand-crafted models by line-by-line coding, the data scientist of the future will likely audit AI outputs, manage data ethics, and translate algorithmic outcomes into boardroom decisions. (also see AI engineers)

More AI definitions

7 Articles about AI & Facial Recognition

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18 Articles about AI & Politics

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New York Signs AI Safety Bill Into Law, Ignoring Trump Executive Order - Wall Street Journal

Israel reportedly using facial recognition and Google Photos to conduct mass surveillance in Gaza - Mashable

“Tinder for Nazis” hit by 100GB data leak, thousands of users exposed with the help of AI - CyberNews 

If U.S.-China AI Rivalry Were Football, the Score Would Be 24-18 – Wall Street Journal

Chatbots Are Surprisingly Effective at Swaying Voters - The Atlantic  

Senators Investigate Role of A.I. Data Centers in Rising Electricity Costs – New York Time 

Trump Clears Sale of More Powerful Nvidia A.I. Chips to China - New York Times 

Cheap and powerful AI campaigns target voters in India – Rest of World  

Putin Wanted AI Supremacy. Now Russia Is Struggling to Stay in the Race. - Wall Street Journal

AI may discriminate against you at work. Some states are making it illegal. – Washington Post  

A growing share of America’s hottest AI startups have turned to open Chinese AI models – NBC News 

How China’s new AI systems are reshaping human rights - Australian Strategic Policy Institute

New rule targets AI discrimination. Here’s what workers need to know. - Washington Post 

Silicon Valley’s Man in the White House Is Benefiting Himself and His Friends - New York Times

China’s AI warpath – Politico

AI Enters the Classroom at the Marine War College – Military.com 

US to mandate AI vendors measure political bias for federal sales – Reuters  

AI-generated political videos are more about memes and money than persuading and deceiving – The Conversation