AI now drives 89% of global trading volume. 87% of working artists use AI somewhere in their workflow. Different industries. Same curve. Ten-year gap.
If you trade with bots, you already know how this story ends. You watched it happen to your own market. The manual parts of execution disappeared. The discretionary parts moved up the stack. Operators who fought the shift lost ground. Operators who absorbed it didn't.
That same story is now playing out in publishing, in film, in music, and most aggressively in vertical short-form video. The vocabulary is different. The chart is identical. AI in creative industries is following the trading playbook with a decade of lag and a much steeper slope.
What traders learned first
Algorithmic trading revenue hit $21.89 billion in 2025. The forecast for 2026 is $25.04 billion, growing at 14.4% a year. By 2030 the number is $44.34 billion, according to Research and Markets. The retail layer — accessible AI trading bots, strategy designers, copy-trading — is what platforms like Cryptohopper were built on.
The lesson from that decade wasn't that machines beat humans at trading. The lesson was narrower than that. Machines beat humans at the parts of trading that were already mechanical. Execution. Monitoring. Rebalancing. Pattern matching across thousands of pairs at once. The judgment layer — what to trade, how much risk, when to be flat — stayed with the operator.
That separation matters. The same one is happening to creative work right now. Fast. And most of the public discourse is missing it.
The numbers in creative industries
Generative AI in creative industries was a $4.06 billion market in 2025. Forecast for 2026: $5.38 billion at a 32.3% growth rate. By 2030 it crosses $14 billion. The broader AI-in-art-and-creativity market sits at $16.6 billion in 2025 and is projected to clear $161 billion by 2034.
62% of marketers already use generative AI for visual content. 59% of media companies use AI-assisted tools for production. AI-generated on-model fashion images convert 60% higher than traditional product photography.
These are not adoption forecasts. They are current numbers. AI in creative industries is already a real industry, and it is compounding faster than algorithmic trading did at the equivalent stage.
Books: the slush tsunami and what sits on top of it
Roughly 4 million books got published in the United States in 2025. That's up 32% in a single year. At least 3 million of those were self-published. Industry observers started calling it the “slush tsunami” — a flood of AI-assisted manuscripts overwhelming the bottom of the market.
Okay, that's slightly oversimplified. What's actually happening is two things at once. The bottom is drowning. The top is consolidating. Publishing analysts describe 2026 as the start of a “human-first” era — not because AI is going away, but because the premium tier is hardening around editions that are clearly curated and clearly worth paying for.
Same dynamic as trading. When the bottom of the order book got automated, alpha moved to better strategies, better data, better operators.
This is where Dreamsquare Books gets interesting. Dreamsquare ships two things: modernized editions of public-domain classics in contemporary English, and condensed “micro editions” at about a quarter of the original length with the story intact. Both formats use AI in production. Neither competes in the slush market. They sit above it. Operator-grade reading, the way a well-tuned bot is operator-grade trading.
Vertical video: the high-frequency trading of entertainment
Microdrama apps generated $2.98 billion in in-app revenue in 2025. Up 115% year over year. Deloitte projects the segment more than doubles in 2026, hitting $7.8 billion. Outside China alone the number is $3 billion. Over 10,000 AI-generated animated micro-dramas have gone online every month since January.
Per-show budgets sit at $25,000 to $30,000, often a hybrid of AI and live action. ReelShort is targeting 400 shows in 2026. No traditional studio matches that cadence. And the numbers say audiences are not waiting for traditional studios to catch up.
The structural parallel to high-frequency trading is exact. Small unit size. Massive volume. Fully automated pipeline. Edge from speed and iteration rather than from any single position. The teams winning at microdrama are the ones that industrialized first — script, voice, visuals, localization — and ran the platform like a market-making desk.
TVGEN is doing the same thing on the entertainment-news side and the linear-TV side. Ten always-on linear AI channels of public-domain and Creative Commons content. An AI-assisted entertainment news pipeline that publishes hourly. The thesis is identical to any 24/7 trading desk: keep the system running, rotate the inventory, drive the cost per unit of output low enough that volume itself becomes a moat.
The musician's framing
Sonarworks surveyed more than 1,100 working producers in 2026. The phrase that keeps coming back: AI is “the session musician who never misses rehearsal.” 87% of artists use it for something. 52% use it specifically for cover art, captions, bios, analytics, content ideas. Producers who described themselves as threatened by AI were a clear minority.
If you've run a trading bot for any length of time, that framing should land. It's the frame every operator settles into after a few months. The bot is the junior analyst that runs 24/7 and never gets bored. You make the call. It does the reps.
Not a coincidence of language. Same productivity dividend, different industry, slightly later point on the curve.
“But this kills creativity”
Standard objection. It's wrong. But it's wrong in an interesting way.
What AI is killing is the bottom of the curve — the generic, the templated, the things that were always more about volume than craft. The premium tier is not shrinking. It is growing faster than the rest. Modernized classics. Theatrical audiobook productions. Original micro-fiction with a real author. Curated linear TV with a real editorial point of view. These formats are picking up market share inside the broader AI-driven content explosion, not losing it.
Trading didn't disappear when bots arrived. Discretionary trading specialized. Quant trading expanded. Retail trading got better tools. The market got bigger. Operators who adapted got further ahead.
You are watching the same thing happen to books and video. It's happening faster this time. Better tools. Global distribution by default.
How to think about it as an operator
Three lines.
Automate execution. Keep the strategy. Measure output the way you would measure a trading system — by performance, by retention, by unit economics — not by how pure the production process was.
The operators who win the next decade in AI in creative industries are the ones who already learned the lesson trading taught.
FAQ
Is AI replacing creative professionals?
No. It's replacing the mechanical parts of creative work — drafting, formatting, color correction, transcription, basic editing — the same way algorithmic execution replaced manual order entry in trading. The judgment layer stays with the human operator. The market for premium, clearly human-led work is growing faster than the rest.
What does AI in creative industries look like in practice?
A modernized classic novel produced as a faithful but contemporary edition. A 25-minute condensed audiobook with full-cast performance. A linear TV channel that programs itself from a curated public-domain library. A microdrama studio shipping 400 shows a year on $25K budgets. An AI-assisted entertainment news desk publishing hourly. All running in production today.
How is this related to AI in trading?
The shape of the adoption curve is the same. Algorithmic trading grew from a niche to 89% of global trading volume on the kind of S-curve creative AI is now climbing. The lesson for creative operators is the lesson trading already learned: automate the parts that were always mechanical, measure ruthlessly, let the strategy stay with the human.
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