The consulting firm CVL Economics estimated last year that AI would disrupt more than 200,000 entertainment-industry jobs in the United States by 2026, but writer Nick Geisler argues in The Atlantic that the most consequential casualties may be the humble entry-level positions where aspiring artists have traditionally paid dues and learned their craft. Geisler, a screenwriter and WGA member who started out writing copy for a how-to website in the mid-2010s, notes that ChatGPT can now handle the kind of articles he once produced. This pattern is visible today across creative industries: the AI software Eddie launched an update in September capable of producing first edits of films, and LinkedIn job listings increasingly seek people to train AI models rather than write original copy. The story adds: The problem is that entry-level creative jobs are much more than grunt work. Working within established formulas and routines is how young artists develop their skills. The historical record suggests those early rungs matter. Hunter S. Thompson began as a copy boy for Time magazine; Joan Didion was a research assistant at Vogue; directors Martin Scorsese, Jonathan Demme, and Francis Ford Coppola shot cheap B movies for Roger Corman before their breakthrough work. Geisler himself landed his first Netflix screenplay commission through a producer he met while making rough cuts for a YouTube channel. The story adds: Beyond the money, which is usually modest, low-level creative jobs offer practice time and pathways for mentorship that side gigs such as waiting tables and tending bar do not. Further reading: Hollow at the Base.

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Meta has agreed to acquire viral AI agent startup Manus, "a Singapore-based AI startup that's become the talk of Silicon Valley since it materialized this spring with a demo video so slick it went instantly viral," reports TechCrunch. "The clip showed an AI agent that could do things like screen job candidates, plan vacations, and analyze stock portfolios. Manus claimed at the time that it outperformed OpenAI's Deep Research." From the report: By April, just weeks after launch, the early-stage firm Benchmark led a $75 million funding round that assigned Manus a post-money valuation of $500 million. General partner Chetan Puttagunta joined the board. Per Chinese media outlets, some other big-name backers had already invested in Manus at that point, including Tencent, ZhenFund, and HSG (formerly known as Sequoia China) via an earlier $10 million round. Though Bloomberg raised questions when Manus started charging $39 or $199 a month for access to its AI models (the outlet noted the pricing seemed "somewhat aggressive... for a membership service still in a testing phase,") the company recently announced it had since signed up millions of users and crossed $100 million in annual recurring revenue. That's when Meta started negotiating with Manus, according to the WSJ, which says Meta is paying $2 billion -- the same valuation Manus was seeking for its next funding round. For Zuckerberg, who has staked Meta's future on AI, Manus represents something new: an AI product that's actually making money (investors have grown increasingly twitchy about Meta's $60 billion infrastructure spending spree). Meta says it'll keep Manus running independently while weaving its agents into Facebook, Instagram, and WhatsApp, where Meta's own chatbot, Meta AI, is already available to users.

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