{"id":383,"date":"2026-06-05T20:37:32","date_gmt":"2026-06-05T20:37:32","guid":{"rendered":"https:\/\/cityrelocationnews.com\/?p=383"},"modified":"2026-06-05T20:37:32","modified_gmt":"2026-06-05T20:37:32","slug":"instead-of-taking-your-job-a-i-might-transform-it","status":"publish","type":"post","link":"https:\/\/cityrelocationnews.com\/?p=383","title":{"rendered":"Instead of Taking Your Job, A.I. Might Transform It"},"content":{"rendered":"
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For this week\u2019s Open Questions<\/strong> column, Cal Newport is filling in for Joshua Rothman.<\/em><\/span><\/div>\n<\/div>\n

One summer during high school, I took a temporary job writing computer programs for a consulting firm. Each morning, I drove through rush-hour traffic to an office park near Princeton, New Jersey, on the crowded Route 1 corridor. At a desk in some sort of equipment room, I coded quick-and-dirty database tools for internal use. One of my programs simplified the process of logging hours into timesheets. Another tracked inventory for the I.T. department. My role was to find small ways to improve the lives of my co-workers.<\/p>\n

Read more Jack Schlossberg Makes His Case<\/a><\/p>\n

I hadn\u2019t thought about that job in a long while, but it came to mind recently as I grappled with the potential economic impact of artificial intelligence. Proponents and critics of A.I. often compare the technology to industrial automation: just as machines eliminated many jobs that depended on human brawn, such as weaving or mining, A.I. will eliminate jobs that require human brains. In February, Mustafa Suleyman, the C.E.O. of Microsoft AI, predicted that A.I. will deliver \u201chuman-level performance on most if not all professional tasks\u201d within the next twelve to eighteen months. Anthropic\u2019s C.E.O., Dario Amodei, has suggested that fifty per cent of entry-level white-collar work will be automated by the end of the decade. \u201cA lot of jobs will go away,\u201d Sam Altman, the head of OpenAI, said last summer. (OpenAI has an agreement with Cond\u00e9 Nast, the owner of The New Yorker<\/em>, which allows OpenAI to display its content in search results for a limited term.)<\/p>\n

<\/div>\n

Recently, however, I\u2019ve sensed a shift in this discourse. \u201cA.I. is creating jobs,\u201d the C.E.O. of Nvidia, Jensen Huang, said in an April interview. \u201cAnybody who is saying that A.I. is wiping out jobs is scaring people.\u201d He later said that C.E.O.s who have blamed layoffs on A.I. are lazy, and that such claims were \u201cjust a way for them to sound smart.\u201d Even Altman said in May that he was \u201cdelighted to be wrong\u201d about A.I. eliminating large numbers of jobs. Public-relations concerns are probably playing a key role here: eighty per cent of Americans are now somewhat or very concerned about A.I., according to a recent Quinnipiac poll, and a majority think that this technology will cause more harm than good in their daily lives. But, more fundamentally, we may be starting to realize that the automation analogy was never the right way to explain A.I.\u2019s impacts.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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In search of a better understanding of our current moment, I recently went looking for A.I. adopters outside the tech industry. I asked the C.E.O. of a journalism nonprofit how he\u2019s using A.I., and he showed me a web-based tool that he vibe-coded using Claude Code, Anthropic\u2019s programming agent. Each morning, the tool automatically summarizes articles related to higher education, suggesting potential trends and angles that could warrant further investigation. It then e-mails a brief to him and his managing editors. A recent brief highlighted a Los Angeles Times<\/em> story about a data breach of a popular learning management system called Canvas. It suggested that the editors consider sending a Freedom of Information Act request to state school systems that were impacted, asking for correspondence with the system\u2019s parent company. \u201cDid anyone raise red flags?\u201d it asked. The tool is hardly revelatory, and the C.E.O. said that he \u201cwould never try to turn it into a public-facing product,\u201d but it highlights useful information and sparks ideas. \u201cIt\u2019s like a student or an intern,\u201d he said.<\/p>\n

Lately, the C.E.O. has been thinking about another inefficiency that A.I. could address. His reporters fill out regular forms to summarize the impact of their work to send to the organization\u2019s funders. Because he has access to Claude Code, he began imagining a bot that would solicit this information in a more informal way. Perhaps reporters could type their updates directly into Slack, the messaging platform that they already use, and the bot could fill out the form on their behalf. \u201cIt won\u2019t be hard,\u201d he told me. When I followed up with him a couple of weeks later, he confirmed that he had indeed created a tool to help reporters draft communications with funders. (It wasn\u2019t yet integrated with Slack.)<\/p>\n

Another A.I. enthusiast, the co-owner and chairman of a shipping-logistics company, told me about a \u201cbig headache\u201d that was vexing his C.F.O. \u201cWe get payments from thousands of clients,\u201d he said. \u201cOften, they don\u2019t note what they\u2019re paying us for.\u201d The company had given up on changing clients\u2019 behavior; instead, four staffers were assigned to match mystery checks to corresponding invoices. (I couldn\u2019t help but think of a Sisyphean number-filing task in \u201cSeverance,\u201d the dystopian Apple TV+ series set in a workplace.) But, earlier this year, the company gave the I.T. team access to A.I.-powered coding agents. Staffers quickly built a custom tool that automated \u201cessentially eighty per cent\u201d of the matching issues on a recent project, the co-owner said. He was now in the process of reassigning three-quarters of his human payment-matchers to more fruitful tasks. These examples were not the digital equivalent of a power loom, making large numbers of human jobs superfluous. Turns out, A.I. was assisting these small businesses in roughly the same way that my teen-age self had helped that consulting company\u2014by hacking together whatever was useful.<\/p>\n

The ability to vibe-code custom software using A.I. might be new, but it actually echoes a much older vision for personal computers. In the seventies, when these machines were first introduced, easy-to-learn programming languages such as BASIC<\/em>\u2014meaning \u201cbeginner\u2019s all-purpose symbolic instruction code\u201d\u2014were meant to empower any user to write their own programs. A nineteen-year-old Bill Gates, alongside his friend Paul Allen, developed a version of BASIC<\/em> to run on the Altair 8800, the very first commercially viable personal computer; they soon formed a company together that they called Micro-Soft. Steve Wozniak created his own version of BASIC<\/em> for the Apple I, which he and Steve Jobs released a year later. The Apple II shipped with a copy of BASIC<\/em> hard-coded into its memory chips. \u201cThat means you can begin writing your own programs the first evening, even if you\u2019ve had no previous computer experience,\u201d an ad declared.<\/p>\n

Read more \u201cThe Little Sister,\u201d Reviewed: an Intellectual Yet Passionate Coming-Out Drama<\/a><\/p>\n

This idea of bespoke computer programs made sense. Altair and Apple couldn\u2019t anticipate every potential use for their machines, so why not let individuals decide whether they wanted to, say, analyze business data, store recipes, or simulate space battles? In practice, however, even an \u201ceasy\u201d programming language like BASIC<\/em> proved hard for most normal people to master. A minor mistake could crash an entire program. In the end, personal computing followed a different path. In 1979, a newly formed company called Software Arts developed VisiCalc, the first electronic spreadsheet program, which cost a hundred dollars and arrived on a floppy disk. The program was a profound improvement on paper ledgers, and it became the first \u201ckiller app,\u201d selling more than seven hundred thousand copies in less than six years. VisiCalc was more powerful than anything an average user could program in BASIC<\/em>, and it prompted a pivot away from D.I.Y. coding in favor of professional programs. A vast and lucrative software industry emerged, and the idea of the average person dreaming up their own custom programs was all but forgotten\u2014that is, until generative A.I. came along. Arguably, the nonprofit C.E.O. and the shipping executive were returning to the original vision of custom computation.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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I pitched my theory\u2014that A.I. is not so much replacing workers as equipping them with bespoke tools\u2014to Taylor Pearson, a consultant who writes a popular newsletter called \u201cThe Interesting Times,\u201d about the intersection of business and technology. He shared my skepticism about the idea that artificial intelligence is causing some sort of workplace apocalypse. At a recent conference for small-business owners, for example, he didn\u2019t hear much about A.I. taking jobs; the next closest thing, he said, was that some companies were cancelling I.T. contracts because chatbots were helping them solve simple tech problems. But he agreed that vibe-coded custom software is increasingly ubiquitous. He gave the example of a company that rents dumpsters. It recently replaced a commercial platform that managed its customers with a vibe-coded version that was better at detecting fraud. (Apparently, it\u2019s common for fraudsters to offer dumpsters at a big discount, collect a client\u2019s money, and then rent an actual dumpster using a stolen credit card.) But Pearson thought that my theory didn\u2019t go far enough. In recent months, he has been writing about a new style of A.I. collaboration. He doesn\u2019t think it\u2019s going to eliminate our jobs\u2014but, as soon became clear when we spoke, it certainly has the power to transform them.<\/p>\n

Earlier this year, Pearson needed to replace his house\u2019s central air-conditioning system, so he obtained quotes from several HVAC<\/em> companies. He told me that, to him, the proposals were \u201call gobbledygook.\u201d He decided to fire up Claude Code\u2014not to write software but to solve the real-world problem of deciding which A.C. unit to buy. A.I. agents like Claude Code differ from standard chatbots in a couple of main ways. First, they combine a standard large language model with a sophisticated control program, sometimes called the harness, that can execute multiple steps on the user\u2019s behalf. (The harness might ask the L.L.M. to create a step-by-step plan, request its help in executing each step, and then check the validity of the results.) The harness may also have permission to read and write files, and to access certain tools, on the user\u2019s computer. \u201cIt gives the model \u2018hands\u2019 to be able to do things,\u201d Pearson told me. In the process, A.I. becomes less like an oracle that answers questions and more like a work partner.<\/p>\n

Pearson gave the coding agent access to a folder containing the PDFs of all the quotes he had received. He asked it to read them and identify the specific models of A.C. systems that they referenced. The agent then searched the internet, found each system\u2019s user manual, and drafted a report on their features. As the agent worked, it created a useful knowledge base in the form of subfolders and text files on Pearson\u2019s computer. When he asked if a particular unit would fit between his house and his neighbor\u2019s fence, for example, the agent had easy access to the relevant information.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Pearson didn\u2019t trust Claude Code to make the decision for him, though. These agents \u201cdo and say a lot of boneheaded things, and change their minds a lot,\u201d he said. This means that they require close supervision and are best at more mechanistic tasks. Pearson estimates that it took twenty different chat sessions to complete the A.C. project. But his decision was far better informed than if he\u2019d simply picked one of the quotes\u2014and easier to make than if he had attempted to read all of those A.C. manuals himself. He now uses Claude Code to support everyday tasks on a regular basis. Recently, it helped him research and compare fifty different exchange-traded funds\u2014a complicated endeavor that drew on data from multiple websites and involved using a script, a simple computer program, to calculate some statistics. He also uses Claude Code to help edit his newsletter, sometimes by giving it verbal commands such as \u201cI want to move this piece up and this piece back, and take this section out and use it in this next piece.\u201d The A.I. isn\u2019t doing Pearson\u2019s job for him, but it helps him do the job better. \u201cThe percentage of my time spent on more cognitively demanding and interesting things is probably up somewhat,\u201d he said. Pearson calls this approach \u201cfreestyle work\u201d because it reminds him of a type of freestyle chess, in which humans collaborate with computers to play the game at a higher level.<\/p>\n

It\u2019s not yet clear that freestyle work will come to your workplace anytime soon. (Anthropic seems to think it will: earlier this year, it released Claude Cowork, a more office-worker-friendly version of Claude Code.) But vibe-coded custom software is so useful, so tailored to our specific needs, that its spread is almost inevitable\u2014a reality that seems to be reflected in sharp stock declines experienced by web-based software companies. A.I. really is changing work\u2014and if we all start barking commands at our personal A.I. agents, our jobs could get a lot weirder. But, so far, we don\u2019t seem to be hurtling toward the darker vision of a workforce hollowed out by this technology. My summer job in New Jersey, all those years ago, didn\u2019t put any consultants out of work. I like to think that it just made their efforts a little deeper.\u00a0\u2666<\/p>\n

Read more I Need a Critic: June, 2026, Edition<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Cal Newport on some of the ways that artificial intelligence might enhance the human workforce, rather than replace it.<\/p>\n","protected":false},"author":1,"featured_media":382,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[],"class_list":["post-383","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-open-questions"],"yoast_head":"\nInstead of Taking Your Job, A.I. Might Transform It - City Relocation News<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cityrelocationnews.com\/?p=383\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Instead of Taking Your Job, A.I. 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