The NASCAR-ification of Tech: When Every Product Is a Sponsorship Announcement

NASCAR-ification of Tech

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The NASCAR-ification of Tech: When Every Product Is a Sponsorship Announcement

I signed into Netlify last week because someone sent me a link and I figured I'd poke around. Standard drill — sign in with Google, free tier, new account I'll probably forget about by Thursday.

But before I even got to the product, I noticed something. Right there in the onboarding: OpenAI Codex, Anthropic, Google Gemini. Wired in. Presented as features.

That's three of the biggest names in AI, sitting inside a deployment platform I'd never used, before I'd written a single line of code.

And I thought: this is the new Intel Inside. Except it's everywhere, all at once, and nobody seems to be in charge of the label.

We Used to Know Who Made What

There was a period — not that long ago — when brand provenance was legible. You bought a laptop. Intel made the chip. Microsoft made the OS. Dell made the box. You knew who was responsible for what, and when something broke, you had a reasonable guess about which company to call. That model wasn't perfect. But it was coherent.

What's happening now is something different. Apple is running Siri on Google's Gemini. OpenAI built its empire on Microsoft's infrastructure. Anthropic takes money from Google and Amazon simultaneously. Every product you use is a layered stack of deals, partnerships, and licensing arrangements that most users will never see and most companies aren't eager to advertise.

You're not buying software anymore. You're buying the output of an invisible consortium.

The Mesh Economy, Arriving on Schedule

A few months back I wrote about where I thought this was heading — a piece called "The Night the Future Got Weird," built around what happens when the competitive moat stops working as a strategy. When isolation gets expensive enough, collaboration becomes the only move left. Companies stop guarding the gate and start weaving the mesh. That was speculative when I wrote it. It's operational now.

The Netlify onboarding didn't feel like a warning. It felt like a Tuesday. Nobody in that interface is alarmed that Anthropic and OpenAI — ostensibly competitors — are both listed as available intelligence providers inside the same deployment dashboard.

Nobody's raising an eyebrow that Google is powering Siri while also competing directly with Apple Intelligence. These arrangements are happening so fast and so openly that they've already outpaced the cultural frameworks we'd normally use to process them.

This is what the mesh economy looks like at the product layer. Not a philosophical concept — a signup flow.

The NASCAR Problem

Here's the thing about sponsorship labels: they multiply until they lose meaning.

When a NASCAR driver is covered in forty-seven logos, none of them communicate anything anymore. They're not signals. They're noise. The logo stops being a claim of origin and becomes a wallpaper of legitimacy — a visual argument that this thing is connected to enough important other things that you should probably trust it.

That's where we're headed with AI provenance.

"Powered by OpenAI." "Intelligence by Anthropic." "Built on Gemini." "Security by X." "Infrastructure by Y." "Reasoning by Z."

At some point — and I'd argue we're already there — that stack of badges stops telling you who made what and starts functioning as a different kind of marketing. It's not about attribution. It's about affiliation. The goal isn't transparency. The goal is borrowed legitimacy at scale. And the more normalized it becomes, the harder it gets to ask the question that actually matters: if something goes wrong, who is responsible?

The Questions Nobody Is Asking Yet

When Apple routes your Siri query through Google's infrastructure, whose privacy policy governs that interaction? When Netlify's AI feature surfaces a response generated by a model from a company you've never agreed to terms with, what is your relationship to that company?

When your startup's core product depends on three different API providers, two of whom have their own competing products, and one of whom just raised a round from your largest customer's biggest rival — how do you think about vendor lock-in?

These aren't hypothetical future concerns. They're live, today, for every developer building on this stack. The mesh economy is real and it's productive and it's delivering genuinely useful things faster than any single company could have built them. I'm not arguing against it. I use it. The tools I build every week depend on it. What I'm arguing is that the current arrangement — where the complexity is real but the labeling is decorative — creates a liability that's accumulating quietly.

What This Looks Like in Three Years

Extrapolate the current trajectory and you get something interesting.

The next wave of products won't just embed AI providers — they'll embed AI providers that have their own embedded AI providers. The stack goes recursive. A startup builds on a platform that uses a model from a company that's partially owned by a hyperscaler that has a competing product in the same category.

The NASCAR jacket isn't forty-seven logos. It's forty-seven logos, each of which contains forty-seven more logos, scaled down until they're invisible. At that point, brand means something completely different. It stops being a signal of origin — who built this, who trained this, who is accountable for this — and becomes purely a signal of position. Where do you sit in the mesh? How many connections do you have? How gracefully do you integrate?

The companies that win in that environment aren't necessarily the ones with the best models or the best products. They're the ones with the most legible integration surface. The ones whose APIs are cleanest, whose terms are friendliest, whose reliability makes them the default substrate everyone else builds on. Microsoft understands this. That's why Azure exists. That's why they funded OpenAI before OpenAI was a safe bet.

Google understands this. That's why Gemini is inside Siri. Lose the consumer surface, own the inference layer — that's a trade Google will make every time.

The question for everyone building on top of this stack is whether they understand it too. Because the mesh isn't neutral. It has gravity. And the companies providing the foundational layers are making long bets that the companies building features on top of them are not.

The Part Worth Paying Attention To

None of this means the current arrangement is bad. It means it's complex in ways that the current labeling doesn't reflect.

"Powered by Anthropic" tells you something technically. It tells you almost nothing strategically. It doesn't tell you what happens when Anthropic's terms change, when their pricing shifts, when the model that powers your product gets deprecated in favor of one that costs twice as much. It doesn't tell you who you call when the output is wrong in a way that matters.

The Intel Inside sticker worked because Intel was a single company making a discrete component with a clear warranty story. The AI Inside sticker is a different thing. It's a relationship between your product and a model and a training dataset and a compute provider and a safety policy and a pricing structure that can change at any time for any reason.

That's not a warning. That's just the topology.

The mesh economy is here. The brands inside it are real. The products are useful.

What hasn't caught up yet is the accountability layer — the part that tells you, clearly, what you're actually agreeing to when you sign in with Google and see three AI logos before you've written a line of code. That clarity is coming. It'll probably arrive the hard way, the way it usually does — after something goes wrong in a way that makes the question impossible to ignore. Until then, enjoy the jacket.

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Rich Washburn is a technologist and strategist working at the intersection of AI, infrastructure, and capital. He is Managing Partner and Chief AI Officer at Eliakim Capital and CIO of Data Power Supply.