AI & Creativity

    Who Tells The Story Now?

    May 20, 20256 min read

    Hollywood has always been bigger than the strip of land between Beverly and Ventura Boulevards. It is a cultural switchboard where money, mythmaking and politics cross-connect — sometimes to enlighten, but really more often to persuade. When Charlie Chaplin turned his camera on Adolf Hitler in The Great Dictator (1940) he was signaling that a transatlantic war of ideas had reached America’s back lot.

    A decade earlier, Chaplin’s City Lights and then Modern Times mapped Depression-era poverty with the same wide-eyed tramp who once made us laugh; suddenly his gags bit like social critique.

    For much of the 20th century that moral swagger made Hollywood feel almost god-like. By the 1990s the system hit its commercial apogee: a handful of 6 studios, a star system that could open a film on name alone, red-carpet politics stitched together by couture houses and campaign consultants. It was an explosive cocktail.

    Enter Disruptor #1.

    Netflix began by up-ending distribution (good-bye late-fees, hello red envelopes), slashed the cost structure that tied Blockbuster to thousands of leases, and — crucially — started logging every click we made. Taste became a data point; recommendation was reborn as CRM. By 2013 the company financed its very own blockbusters like House of Cards and later Roma, announcing itself as a studio in its own right.

    The bargain for viewers felt irresistible — endless titles on demand, often for less than a single cinema ticket. Quality scattered along a classic bell curve: a sprinkling of prestige hits, a fat middle of okay Friday-night fodder, and a long tail of “content” that felt algorithmic because, increasingly, it was.

    That churn exposed a deeper truth: owning the pipes is in fact more powerful than owning the pictures. Once Netflix proved the model, every studio launched its own streamer and began hoarding IP. Movies turned into “content slates,” stars into brand extensions, and the annual Oscars into a board-meeting that hands out statuettes like a scripted reality show.

    Now comes Disruptor #2: generative video.

    Google’s Veo3 — demoed publicly in May 2025 — turns a text prompt into polished moving images in seconds.

    Runway’s Gen-3 model, backed by a fresh $308 million that values the startup north of $3 billion, does the same with an interface any teenager can master.

    Suddenly the barrier has become as a prompt that begins “Show me…” Anyone can be a writer, director, VFX supervisor — at least in theory. In practice the power consolidates around whoever owns the models and the massive data centers that train them. The gate may look wider, but the gatekeepers have changed address — from Hollywood & Vine to Mountain View and Midtown Manhattan.

    Politicians notice. During his latest presidential campaign, Donald Trump had floated 100 % tariffs on foreign films, castigating “international propaganda” and vowing to rescue a “dying” Hollywood.

    LVMH, the $400-billion luxury behemoth, has seeded a content venture led by Antoine Arnault to weave its brands into movies and series. Whoever shapes stories will also shapes desire.

    Stories encode memory. They teach, cajole, and eventually calcify into the collective record we call History. If AI can generate an ocean of plausibly “human” narratives at super-human speed, the question becomes: who curates the feed? Just as Spotify promised to liberate musicians from label “slavery” — see Prince vs Warner Bros — only to become a new pay-to-play arbiter, the AI era may well be swapping one studio oligopoly for a handful of models whose inherent “biases” are inscrutable and whose scale is unmatched.

    We’ve been here before. In Ancient Athens, playwrights relied on civic patrons. Roman emperors funded spectacles to pacify crowds. Louis XIV bankrolled Molière while censoring dissent.

    So who tells the story now?

    Most likely a hybrid: human spark, model muscle, platform reach. But the real advantage lies with those who can spin, test, and iterate narratives at machine speed. That might be a trillion-dollar cloud provider — or a startup valued at three billion.

    Charles de Gaulle reportedly said:

    “During the war, I won with the microphone. Now, I win with television.”

    Today, the microphone and the television have been replaced by data pipelines, compute clusters, and proprietary model weights. The performance stage is a server farm. The audience is global, 24/7, connected by stream.

    So the question is no longer who tells the story.

    It’s: who owns the system that decides which stories get told?

    Written by

    Sacha Windisch

    Sacha Windisch is the founder of Inference Associates. He coaches executives and business leaders on practical AI capabilities through personalized intensive sessions. 20+ years in technology transformation. MIT AI Product Design. Based in Montreal, working globally.

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