Book publisher HarperCollins said it will start translating romance novels under its famous Harlequin label in France using AI, reducing or eliminating the pay for the team of human contract translators who previously did this work. 404Media: Publisher's Weekly broke the news in English after French outlets reported on the story in December. According to a joint statement from French Association of Literary Translators (ATFL) and En Chair et en Os (In Flesh and Bone) -- an anti-AI activist group of French translators -- HarperCollins France has been contacting its translators to tell them they're being replaced with machines in 2026. The ATFL/ En Chair et en Os statement explained that HarperCollins France would use a third party company called Fluent Planet to run Harlequin romance novels through a machine translation system. The books would then be checked for errors and finalized by a team of freelancers. The ATFL and En Chair et en Os called on writers, book workers, and readers to refuse this machine translated future. They begged people to "reaffirm our unconditional commitment to human texts, created by human beings, in dignified working conditions."

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Stratechery's Ben Thompson has published a lengthy rebuttal to Dwarkesh Patel and Philip Trammell's widely discussed winter break essay "Capital in the 22nd Century," arguing that even in a world where AI can perform all human jobs, people will still prefer human-created content and human connection. Patel and Trammell's thesis draws on Thomas Piketty's work to argue that once AI renders capital a true substitute for labor, wealth will concentrate among those richest at the moment of transition, making a global progressive capital tax the only solution to prevent extreme inequality. The logic is sound, writes Thompson, but he remains skeptical on several fronts. His first objection: if AI can truly do everything, then everyone can have everything they need, making the question of who owns the robots somewhat moot. His second: a world where AI is capable enough to replace all human labor yet still obeys human property law seems implausible. He finds the AI doomsday scenario -- where such powerful AI becomes uncontrollable -- more realistic than a stable capital-hoarding dystopia. Thompson points to agricultural employment in the U.S., which dropped from 81% in 1810 to 1% today, as evidence that humans consistently create new valuable work after technological displacement. He argues that human preferences for human connection -- from podcasting audiences to romantic partners -- will sustain an economy for human labor simply because it is human. Sora currently ranks 59th in the App Store behind double-digit human-focused social apps, for instance.

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joshuark shares a report from Business Insider: Jason Lemkin, known to some as the Godfather of SaaS, says the time has come to push the limits of AI in the workplace. Lemkin, the founder of SaaStr, the world's largest community of business-to-business founders. In a recent podcast Lemkin said that this means he will stop hiring humans in his sales department. SaaStr is going all in for AI agents, which are commonly defined as virtual assistants that can complete tasks autonomously. They break down problems, outline plans, and take action without being prompted by a user. He said the company now has 20 AI agents automating tasks once handled by a team of 10 sales development representatives and account executives. That move to AI was rapid from an entirely human workforce. During the SaaStr Annual a yearly gathering of over 10,000 founders, executives, and VCs, two of its high-paid sales representatives abruptly quit. Lemkin said he turned to Amelia Lerutte, SaaStr's chief AI officer, and said, "We're done with hiring humans in sales. We're going to push the limits with agents." Lemkin's calculus was that it just wasn't worth the cost of hiring another junior sales representative for a $150,000 a year position who would eventually quit, when he could use a loyal AI agent instead. [...] Lemkin said SaaStr is training its agents on its best humans. "Train an agent with your best person, and best script, then that agent can start to become a version of your best salesperson," he said. Lemkin said that the net productivity of agents is about the same as humans. However, he said, agents are more efficient and can scale -- just like software. Many companies are experimenting with AI agents, but risks remain. One of the big ones is the threat of data leaks and cybercrime.

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