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AI’s ‘Slurp Juice’ Era: Why Many Still Don’t Get It

Posted on by clementon
AI's 'Slurp Juice' Era: Why Many Still Don't Get It

I remember the week NFTs felt inevitable: a Sotheby’s room cheering a digital drop, a virtual Gucci bag selling for more than its leather twin, and every feed flooded with apes. You could taste the confidence — and then taste the hangover. Today I want to show you why AI is drifting into that same strange, jargon-packed moment.

I’ve watched this industry from product demos to customer support threads. You’ve probably felt it too: an avalanche of feature names, subscription tiers, and token allowances that make your head spin.

Remember the spectacle: Sotheby’s sold an NFT collection for just shy of $17 million (€15,810,000). Big brands put “chief metaverse officers” on the payroll. A virtual Gucci bag moved for over $4,100 (€3,800) on Roblox. Meanwhile, celebrity endorsements and the FTX implosion blurred the line between hype and hazard. The era’s signature line — “A lotta yall still don’t get it.” — went viral for a reason.

At auction houses and gaming platforms a frenzy once looked like durable demand

Sotheby’s, Roblox and fashion houses sold promise as much as pixels. The reality was different: cultural cachet inflated prices and obscured value.

AI is showing the same pattern. Vendors ship dozens of named models and add-on features — ChatGPT Pulse, GPT-5.6 Sol, GPT-6 Astra, ChatGPT Space, OpenAI Presence, Decisions API — and hope one sticks. The result is a product menu that asks you to choose without making the choices obvious.

This isn’t just cosmetic. When people can’t tell what they’re buying, trust erodes and churn rises. You’ve already seen customers cancel or hunt for open-source lifts from China despite privacy trade-offs. The churn is a warning light, not an inevitability.

At developer conferences the industry keeps adding offerings faster than customers can adopt them

OpenAI once unveiled more than twenty products in a single day. That momentum reads as progress — until it reads as noise.

There’s a bargain here: investors and engineers want growth; users want clarity. Companies chasing both are packaging features into narrowly named models and nested pricing tiers. The result sounds impressive to a technical audience and unreadable to everyone else.

Anthropic faces a class action over token allowances for Claude 5x and 20x plans. OpenAI cut the usage cap on its $200/month (€186) Pro tier and watched power users protest. This isn’t mere PR trouble. It’s a product-market mismatch that costs real revenue. Bain & Company estimates the global AI market will need roughly $6 trillion (€5.6 trillion) annually by 2031 to cover compute and remain viable — a target that depends on mass adoption, not just enterprise deals.

What does “slurp juice” mean for AI users?

“Slurp juice” was a shorthand for opaque mechanics in the NFT world. In AI, the equivalent is token allowances, region-locked features, and nested model names that hide limits. You and I don’t need to memorize every SKU; we need signals that tell us whether a product will work for a week of work or a month of scale.

At the subscription counter, customers react the way consumers always do: by voting with wallets

When plans change without clear communication, people leave. That’s a behavior economists and product managers both understand.

Companies that want recurring revenue must convert curiosity into confidence. That means fewer, clearer products; transparent usage limits; and pricing that matches perceived value. It also means talking in plain terms when you change a policy. Thibault Sottiaux’s note — “You all want things to get simpler. On it.” — is a start. But words are cheap when trust is thin.

How should I evaluate AI pricing plans before I buy?

Compare stated allowances to real usage: measure tokens per transaction, test latency, and ask for predictable overage rules. Look for platforms with clear SLAs and easy export paths. If a provider hides limits behind hyphenated model names, treat that as a red flag.

At the consumer level, the path forward is consolidation and plain talk

Customers aren’t engineers; they’re decision-makers with deadlines and budgets.

You want products that behave like tools, not like collectible toys. That means rationalizing product lines, smoothing pricing, and communicating changes in human terms. The industry can no longer assume that complexity equals sophistication; it often equals friction.

The current product sprawl is like a carnival barker shouting every few feet and like a house of mirrors where every turn looks different but leads nowhere — two images that explain why people tune out and why the industry risks repeating NFT-era mistakes.

The test for AI companies is simple: will your product fit into a real person’s workflow and billing cycle, or will it require a spreadsheet and a PhD? If you’re building, think about the person paying the invoice, not just the lab that built the model.

We can steer this away from spectacle. I’m not saying AI won’t change everything — it will — but if companies keep treating customers like they’re buying trading cards instead of tools, the market will calcify into niches and bargains for the technically fluent while the rest of us abandon ship.

So here’s the final question I’ll leave you with: would you rather pay for one clear tool that solves your problem, or fifty named models you can’t explain to your boss?