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You know the type. The pitch deck peacocks. The “strategic” consultants who can’t define CPM.
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The dot-com bubble. The crypto circus. The metaverse fever dream
The Great AI Creative Rush: Wrappers, Hype, and the Coming Fire Sale
Billions are being lit on fire like it’s a frat party in Vegas, and the guest of honor is Generative AI — the messy new roommate in marketing’s already overcrowded apartment. The hype machine is deafening.
Every keynote speaker insists this isn’t just “innovation” — it’s the rebirth of creativity itself. Meanwhile, venture capitalists are hurling money like confetti at a wedding they weren’t even invited to.
We’ve seen this movie before: the dot-com bubble, the crypto circus, the metaverse fever dream. The script never changes: VCs throw absurd sums at shiny tech, founders slap together a deck, startups sprout like weeds in a vacant lot, and every CEO says they’re going to “redefine creativity” while secretly hoping Google, Adobe, or Meta will just buy them before payroll bounces.
Now it’s AI’s turn — specifically for ad creative. The slogans are the same reheated soup: “redefine creativity,” “democratize content,” “transform connection.”
Translation: you’ll soon be pumping out twice as many LinkedIn carousels in half the time, with only a slightly higher chance that they look like a fever dream from the uncanny valley.
The Numbers Don’t Whisper — They Scream
This isn’t vaporware optimism. It’s real money flowing into companies with almost no chance of surviving the next pricing cycle.
$14.8 billion market in 2024 → $80.12 billion by 2030. That 32.5% annual growth curve is like catnip for investors who missed crypto and still don’t understand TikTok.
65% of 2025 growth is in marketing automation, design, and “engagement” tools — the exact areas CMOs scramble to mention when boards ask, “What’s our AI strategy?”
Enterprise spending is already $42.3 billion globally.
92% of businesses say they’ll invest in AI in the next three years. The other 8% are still waiting for AOL CDs in the mail.
But here’s the punchline: the money isn’t going into real technology. It’s going into companies built on sand, praying for a buyout before the tide comes in.
The Hype vs. The Sloppy Reality
The glossy brochures promise:
More content
Faster production
Lower cost per asset
Reality check:
Originality is a coin toss. You’ll get 10 “new” options, half look like they were storyboarded by a caffeinated squirrel.
Brand safety is a polite fiction. One bad prompt and your toothpaste ad has a smiling six-fingered ghoul.
Data privacy? Saying “trust us” in 2025 is like handing out Fyre Festival merch — everyone knows it’s worthless.
Yes, AI can scale. Yes, it can personalize. But scale without taste is spam and personalization without judgment is stalking. Left unchecked, it’s like handing the Super Bowl spot to the unpaid intern who “watches a lot of TikToks.”
Specialists vs. Generalists: The Cage Match
The industry’s smackdown is between specialists and generalists.
Specialists
Runway – Hollywood-level video at startup prices. Makes your creative team ask why they still pay for Adobe licenses.
AudioStack – Turns scripts into audio ads that don’t sound like Siri moonlighting as a DJ.
Munch – Slices up your 45-minute webinar into TikTok clips for people who would rather die than watch your full webinar.
Generalists
Typeface. Jasper. Pencil. Swiss Army knives of AI. Decent at everything, great at nothing. Perfect until you realize you’re cutting steak with a bottle opener.
Both sides are burning cash like it’s kindling. Neither has proven they can survive without investor oxygen.
Wrappers: The Dirty Little Secret
Here’s the part no founder likes to admit: 90% of “AI companies” in advertising aren’t AI companies. They’re wrappers.
They don’t build models.
They don’t own intelligence.
They rent OpenAI’s brain through an API call, slap a UI on top, and pitch it as innovation.
The thin wrappers? Easy to copy, fragile, vanish with one API pricing change.
The thick wrappers? They cling to vertical niches, proprietary data, or compliance workflows to avoid being squashed.
This isn’t a business model. It’s an arbitrage hustle — reselling someone else’s tech with prettier buttons. The moment OpenAI hikes rates 500% (and they will), or bakes your “innovation” directly into ChatGPT, your company is dead. Full stop.
Real Builders vs. Wrappers
A handful of companies are actually building something real.
Real Generative AI Companies
Omneky – Full-stack, tying data into creative performance.
Typeface – Built its own Blend AI to adapt brand-specific assets.
Cognitiv – Trains its own transformer models for contextual audience building.
Gong – Proprietary analytics + generative insights for marketing and sales.
Major Brands (BMW, Coca-Cola, Heinz, Unilever) – Running in-house labs, skipping startups entirely.
Wrappers & Workflow Hacks
AdCreative.ai – Wrapper with scoring + integrations.
QuickAds – Prompt-driven ad workflows with analytics.
Pencil – Chat workflows built on GPT + Midjourney/DALL·E.
Creatify – Script-to-video avatar generator.
Predis.ai – Scheduling + automation wrapper.
AdMaker by PicsArt – Template-driven, API-powered.
Promeo (CyberLink) – Catalog-heavy wrapper.
Re:nable – Orchestrates APIs for campaign management.
Rembrand – Wrapper, no owned tech.
Streamr – Wrapper, no patents, no IP.
Not a Wrapper
Superside – Humans + AI in a managed service. They don’t sell a tool; they sell scale with taste.
Quick Breakdown
Platform | Wrapper? | Core Tech Approach |
---|---|---|
AdCreative.ai | Yes | API integrations w/ scoring, templates |
QuickAds | Yes | Prompt/LLM APIs + analytics dashboards |
Pencil | Yes | Chat workflow, GPT/Midjourney APIs |
Creatify | Yes | Avatar video APIs, script/video UX |
Predis.ai | Yes | Multi-API content scheduling, automation |
AdMaker | Yes | PicsArt API, template-driven ads |
Promeo | Yes | CyberLink APIs, catalog focus |
Re:nable | Yes | Orchestration + ad scheduling |
Rembrand | Yes | Wrapper, no owned tech |
Streamr | Yes | Wrapper, no patents or IP |
Superside | No* | Human design + AI workflow (service) |
Omneky | Partial | Creative tied to performance data |
Typeface | Partial | Blend AI model for brand assets |
Cognitiv | Yes | Proprietary transformer models |
Gong | Yes | Proprietary analytics + generative insights |
The Wrappers’ Existential Problem
The uncomfortable truth is that “wrapper” is not a business model.
At best, it’s a short-term arbitrage play.
At worst, it’s a countdown timer until someone upstream changes the rules.
API prices go up 500% → your margins vanish overnight.
OpenAI, Google, Anthropic ship your feature natively → your entire company is obsolete.
Investors sober up → the acquisition window closes, and you’re left holding a very expensive wrapper around nothing.
This is why so many of these startups go dark when asked basic questions: Do you own your tech? Do you have defensibility? Can you survive past Series B? The silence isn’t strategy. It’s panic.
No, really— mutliple companies, including one thart appeared on my show, went dark when I started to ask what was the TECHNOLOGY behind their company. They don’t want the industry to know they are NOTHING.
The Bottom Line
The Great AI Creative Rush is real, intoxicating, and absolutely unsustainable in its current form. Billions are pouring into companies that don’t own their own technology, don’t have real business models, and are just praying to be acquired before the hype cycle cools.
Generative AI won’t replace human creativity. But it will expose which companies are real builders and which are just UI layers hoping for a quick flip.
The winners will know the difference between a tool and a crutch. The rest? They’re one API pricing email away from being a footnote in “What Could Have Been.”
Sidebar: The Missing Link in AI – Context
The Elephant in the AI Room: Trust.
Humans can navigate life because we add context to what we see and hear. AI doesn’t. The big platforms skipped building a “context data layer” — and without it, AI is like a GPS with no map: it’ll wander into any dead-end alley it wants.
For marketers, that’s brutal. Out-of-context communication doesn’t just miss the mark — it actively hurts the brand.
Yes, AI is as transformative as the early Internet. But just like then, the dark side is trust gaps. The difference? This time we don’t have to tumble into the same credibility canyon adtech fell into.
Enter Contextual AI — the bridge between raw machine smarts and a brand’s unique essence. Anchor AI in brand facts, and suddenly it’s not just “generating,” it’s on-brand, reliable, and useful.
Of course, creating this contextual layer is hard and expensive — which is exactly why most AI companies didn’t bother. We did it with our AI agent, so our customers can trust their AI won’t go rogue.
Not a pitch, just reality: until context is baked in, marketers are playing with fire.
Sidebar: Wesley ter Haar on Generative AI, Winners, and the Slow Lane
Wesley ter Haar, legendary Founder of .Monks, doesn’t hesitate to call generative AI and told ADOTAT that it’s a “a lasting innovation.” He points out that the hype cycle feels a lot like the late ‘90s: “In the rush to scale, some bubbles will definitely pop. No different than the dot-com bubble. The platform shift is real—there will be massive winners, lots of losers, and marketing and consumer behavior will be fundamentally different between the before and after.”
That’s not exactly a cautious outlook—it’s a warning flare. Ter Haar is saying that while everyone’s busy chasing shiny new AI toys, the real story is how the shift will permanently rewire consumer expectations and brand behavior.
When it comes to blind spots, he sees a gaping one: “I suspect most aren’t thinking through the second-order effects for their brand or business if more user behavior collapses into personal assistants.” Think about that—if Siri, Alexa, or the AI agents of tomorrow become the default gatekeepers, the entire customer journey compresses.
And the kicker? “Many companies will struggle to adapt and adopt at scale, and will find themselves operating at a completely different clock speed to their competitors that do. That difference might mean fast following becomes a more risky bet than it normally is.”
In other words: if you’re not moving at AI speed, you’re moving backward.
The 2025 Generative AI Ad Machine: Who’s Actually Useful vs. Who’s Just Demo Candy
Let’s be real — everyone and their venture-backed cousin is building a “game-changing” AI creative tool. Most are barely more than Canva with a personality disorder. A few? They’ll actually make you money.
The “Put It in the Toolkit” List
Tool | What It’s Actually Good At | Reality Check |
---|---|---|
AdCreative.ai | Churns out ad banners & social creatives with performance scores. Direct Google, Meta, LinkedIn push. | Image-first; still can’t make you a Cannes-winning video. |
Pencil | Learns from your campaign data to spit out variants that might actually outperform your intern’s “big idea.” | Works best if you already have decent creative history to feed it. |
Creatify | Prompt-to-video with avatars. CTV-ready without a single camera battery dying. | Avatars are getting better, but still uncanny if overused. |
QuickAds | Text, image, video — bulk and fast. Chat prompt in, assets out. | Can feel like ordering ads off a fast-food menu — not always gourmet. |
Superside | AI + human designers for volume with guardrails. | You’re paying for the guardrails — worth it if your brand team has trust issues. |
Claritas | CTV/video generator tuned to audience segments. | Best for brands already spending serious money in CTV. |
Omneky | Omnichannel creative orchestration, from visuals to copy to deployment. | Feels like AI meets agency — but you still need a strategist. |
The “Visual Crack” Division
(Because you’re addicted to pretty things)
Tool | Best Use Case | Caveat |
---|---|---|
Midjourney | Surreal campaign visuals that make creative directors weep. | Zero brand compliance — your style guide cries itself to sleep. |
Recraft | Brand-consistent, sharp imagery with actual text fidelity. | Newer, but already eating Midjourney’s lunch in B2B land. |
Adobe Firefly | Commercial-safe imagery inside Creative Cloud. | It’s Adobe — which means subscriptions forever. |
Stable Diffusion | Open-source, deep customization. | Requires a tech team that’s not afraid of GitHub. |
The Script & Copy Sweatshop
Tool | Strength | Why You Care |
---|---|---|
Jasper | Brand-tone memory and ad copy churner. | Saves you from “Lorem ipsum” at 2 a.m. |
Writer.com | Enterprise copy with compliance baked in. | Regulated industries love it. |
Copy.ai | Speedy variant generator. | Great for volume testing, not poetry. |
Anyword | Performance-tuned messaging. | Will kill your pet tagline if the data says so. |
Buyer’s Acid Test Before You Sign a Contract
Run it on your ugliest brief — if it can’t salvage that mess, it’s lipstick on a pig.
Check platform push — if it can’t feed CTV, retail media, and programmatic without six middlemen, you’re in integration hell.
Demand a kill switch — AI gets weird. You need brand-safe eject buttons.
Bottom line: You’re not looking for a magic wand. You’re building a modular creative war chest — mix image monsters, video mills, and copy bots. The hype is loud, the burn rate is real, and the winners will be the ones that actually slot into your marketing pipeline without turning it into a science project.
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