The Switzerland Strategy: How to Profit from AI Without Building AI
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The Switzerland Strategy: How to Profit from AI Without Building AI

How "boring" infrastructure companies are quietly getting rich while AI companies burn billions trying to win the model wars


Last week, I was catching up with an old AWS colleague who just joined Nvidia.

"You know what's crazy?" he said. "Everyone's obsessed with building AI applications on top of these models. Meanwhile, the companies just routing traffic between AI models are printing money."

I stopped mid-sentence. Because I'd literally just had this exact conversation with a VC who was panicking about his portfolio.

Here's what both of them see that 99% of people don't: The real AI gold rush isn't about building AI. It's about being Switzerland.

Let me explain why this completely changes everything.

The Phone Call That Changed My Perspective

Two weeks ago, a venture capitalist I know called me. Real panic in his voice.

"Ritesh, we just put $50 million into an AI startup. They're burning $800K monthly on GPT-5 and Claude. Their biggest competitor? Ten engineers using Llama and Mistral who spend $50K monthly. 85% of the same features. 10x better margins."

I asked him one question: "Why didn't you invest in the company that helps both of them?"

Dead silence.

Then he hung up on me.

An hour later, he called back. "Holy shit. You're talking about OpenRouter, aren't you?"

Yep. And that's when I realized most people are looking at AI completely wrong.

The Company Processing $100 Million That Nobody Knows

Let me tell you about OpenRouter. Never heard of them? Exactly. That's the point.

While OpenAI burns billions and everyone fights over who has the best model, OpenRouter does something stupidly simple: They route API calls to 400+ models from 60+ providers.

That's it. They're basically a traffic cop for AI.

Their cut? 5% of every dollar.

I did the math. They hit $5 million in annual revenue in May. Up from $1 million in December. That's 400% growth in five months. And they're processing over $100 million in AI spending.

They have over a million developers using them. Not because they're building revolutionary AI. But because they're the pipes everyone needs.

Remember what I learned at AWS? The companies that own the infrastructure always win. Always.

🚀 Quick Wins You Can Build This Weekend

The Copy-Paste Plays:

  • Prompt Converter ($10K MRR): Convert ChatGPT prompts to Claude/Llama formats
  • AI Cost Alert ($25K MRR): "You're overspending on GPT-4" notifications
  • Model Speed Test ($15K MRR): Which AI is fastest right now?
  • Token Counter ($8K MRR): Chrome extension, counts before you send
  • Compliance Layer ($40K MRR): HIPAA wrapper for any AI model
  • Batch Processor ($30K MRR): Queue and optimize AI requests

One guy built the token counter in 4 hours. Now makes $8K/month. Dumb, simple, profitable.

My Amazon Bedrock Story (Why I Know This Works)

Look, I need to tell you something. I was literally there when this playbook was written.

I was a founding member of the Amazon Bedrock launch team at AWS. Spent 18+ countries evangelizing our "model-agnostic" approach. People thought we were crazy. "Why not just pick the best model?"

Fast forward to today: 4.7x customer growth in 2025. AWS generating $29.3 billion quarterly. The AI backlog alone? $156.6 billion.

You know what Bedrock does? Same thing as OpenRouter but for enterprises. We give you access to Anthropic, Cohere, Meta, Mistral, all through one API.

Fortune 500 companies don't want to bet on one model. They want Switzerland. They want options. They want someone else to handle the complexity.

That's when it hit me: This pattern works at every scale.

The GitHub Moment That's Happening Right Now

Remember GitHub? They never built programming languages. They just hosted everyone's code. Microsoft bought them for $7.5 billion.

Hugging Face is doing the exact same playbook for AI.

They host over 1 million models. They don't compete with OpenAI or Google. They host everyone's models. Meta's Llama, Google's models, thousands of open source alternatives.

Revenue? $70-85 million ARR. And here's the kicker - their CEO just announced they're profitable. While OpenAI loses $5 billion.

The business model is beautiful:

  • Free tier gets developers hooked
  • $9/month for individuals
  • $20/month for teams
  • Enterprise deals with Nvidia, Amazon, Microsoft

They're not selling AI. They're selling the infrastructure for AI. And they're crushing it.

The $100 Test

Spending $100 on AI:

Building AI:

  • Train a model for 0.0001 seconds
  • Serve 2,000 API calls
  • Burn through in 1 day
  • Result: $0 revenue

Being Switzerland:

  • Route 2 million API calls
  • Serve 10,000 developers
  • Take 5% cut
  • Result: $5,000 profit

Same $100. Different game.

The Public Market Proof (This Is Real Money)

Want to know how real this is? Let me tell you about two companies that went public recently.

CoreWeave (NASDAQ: CRWV) went public in March at $40/share. They provide GPU infrastructure. Not AI models. Just the compute everyone needs.

Stock price today? Tripled. Market cap? Over $58 billion.

They just acquired Weights & Biases for $1.7 billion. W&B doesn't build AI either. They're the system of record for training models at OpenAI, Meta, and Nvidia.

Nebius (NASDAQ: NBIS) - spun out from Yandex - just signed a $17.4 billion deal with Microsoft for AI infrastructure. Stock jumped 50%.

Think about that. Microsoft, with all their resources, is paying $17 billion to a neutral infrastructure provider instead of building it themselves.

The market gets it. Switzerland wins.

The Pattern I Can't Unsee

After 20 years in tech - Bloomberg, Cerebras, AWS, now AI Guru - I've seen this movie before:

The Builders (Losing Money):

  • OpenAI: Losing $5 billion despite GPT-5
  • Anthropic: Burning cash on Claude 4.1
  • Mistral: €600M raised, no path to profit
  • Character.ai: Dead (acqui-hired by Google)
  • Inflection: Dead (acqui-hired by Microsoft)

The Switzerland Players (Making Bank):

  • Amazon Bedrock: 4.7x growth, $156B backlog
  • CoreWeave: Stock up 3x since IPO
  • Nebius: $17B Microsoft deal
  • OpenRouter: 400% growth, profitable unit economics
  • Hugging Face: Profitable at $70M+ ARR
  • Vercel AI: Routing layer, stock up 12% this week
  • Together AI: $30M raised just for inference routing

The pattern is so obvious it hurts: Building AI loses money. Enabling AI makes money.

Why Right Now Is Different (The DeepSeek Wake-Up Call)

Remember January when DeepSeek built a ChatGPT competitor for $5.6 million? Not billion. Million.

That was the moment everything changed.

GPT-5 launched in August. Claude 4.1 followed. Gemini 2.5 Pro. They're all within 1-2% performance of each other. Llama 3.1 open source is at 88.6% vs GPT-5's 90%.

Pricing? Below $0.50 per million tokens. Everyone.

Models are becoming commodities. Fast.

But you know what's not commoditized? The infrastructure to use them all.

The Clock Is Ticking (Why You Need to Move NOW)

The Switzerland window is closing because:

  • Big Tech is waking up (Microsoft's $19B infrastructure deals)
  • VCs are pivoting (that panicked call I mentioned? He just led a $15M round in routing)
  • First-movers are scaling (OpenRouter's 400% growth isn't slowing)
  • M&A is heating up (CoreWeave buying W&B for $1.7B is just the start)

In 18 months, the obvious plays will be taken. Right now? Wide open.

The Playbook (Exactly What I'm Doing)

Look, I spent years at AWS watching this pattern. Built at Cerebras, Bloomberg. Now running AI Guru.

Here's exactly how the Switzerland strategy works:

Step 1: Find the Integration Pain Every company I talk to says the same thing: "We want AI but don't know which model to use."

Pick ONE pain point:

  • Model selection confusion → Build a router
  • Cost optimization → Build a comparison tool
  • Compliance worries → Build a security layer

Step 2: Don't Innovate. Aggregate. A friend built a simple cost comparison dashboard for AI models. That's it. $30K MRR in 3 months.

Another built prompt conversion between models. $200K ARR.

Dumb, simple, profitable.

Step 3: Never Pick Sides The moment you favor one platform, you lose Switzerland status. Stay neutral. Help everyone.

Step 4: Take Your Cut

  • Charge developers for convenience
  • Charge enterprises for reliability
  • Charge AI companies for distribution
  • Everyone pays for neutrality

Your Switzerland Math

If you capture just 0.01% of the $644B GenAI market:

  • That's $64.4 million in revenue
  • At 70% margins (typical for infrastructure)
  • That's $45 million in profit
  • At 20x revenue multiple (infrastructure average)
  • That's a $1.3 billion valuation

From 0.01% market share. Let that sink in.

The $644 Billion Reality Check

Gartner says $644 billion will be spent on GenAI by 2025.

Where does Switzerland capture value?

  • Model Routing: $32B (OpenRouter's game)
  • Development Tools: $64B (Hugging Face territory)
  • Infrastructure: $128B (CoreWeave/Nebius zone)
  • Services: $96B (Consulting/integration)

That's $320 billion for neutral players. Not fighting. Just facilitating.

And here's the beautiful part: The AI companies need Switzerland more than Switzerland needs them.

The Plot Twist Nobody Sees Coming

Here's what's really wild: The AI companies WANT Switzerland to exist.

Why? Because it gives them distribution without sales teams. OpenAI doesn't want to build invoicing, compliance, uptime monitoring, or multi-model management. They want to build models.

Want proof this is real?

  • Google contributes to Hugging Face despite competing with them
  • Microsoft needs Nebius despite having Azure (hence the $17B deal)
  • OpenAI uses infrastructure companies for things they could build themselves
  • Meta open-sourced Llama but relies on others to distribute it

It's symbiotic. They need you as much as you need them.

Sometimes being neutral is more valuable than being the best. That's the secret Wall Street is starting to understand. That's why infrastructure stocks are mooning while AI companies struggle.

Your Next 48 Hours

  • Hour 1-2: List 10 AI pain points you've experienced
  • Hour 3-4: Check if there's a Switzerland solution (probably not)
  • Hour 5-8: Build a simple prototype (use Cursor/Replit)
  • Hour 9-16: Get 10 beta users from Twitter/LinkedIn
  • Hour 17-24: Iterate based on feedback
  • Hour 25-48: Launch on Product Hunt

You're now a Switzerland player. Welcome to the winning side.

My Bottom Line (And Yours)

After launching Bedrock at AWS, building at Cerebras, and now running AI Guru, I've learned one thing:

The shovel sellers always beat the gold miners.

In cloud, AWS/Azure/Google won by providing infrastructure. In mobile, Apple/Google won by owning platforms. In AI, the neutral infrastructure players will win.

Oracle proved it - boring database company added $250 billion in market value just for having infrastructure.

The playbook is simple:

  1. Don't build AI
  2. Don't compete with AI
  3. Make AI work better for everyone
  4. Take your 5%

While everyone else burns billions fighting to build the best AI, you can build a profitable business just helping them all work together.

The gold rush miners mostly went broke. The people selling shovels? They built dynasties.

And unlike the gold rush, this one is just beginning.

The One Thing to Remember

The AI war has winners and losers. The arms dealers? They always win.

Be the arms dealer.

—Ritesh

Dustin Hubbard

VP of Data Analytics @ Assurant – Driving AI-Powered Insights in Insurance | Process Improvement, Automation & Operational Excellence Evangelist

6d

Great insights on being the "Switzerland" of AI. As AI ecosystems evolve, how might neutral platforms adapt to generative AI advancements and ensure they stay competitive?

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Ranvish Vir

AI enthusiast | GPUs |Agentic AI

6d

Well written Ritesh Vajariya . Utility company makes more money than appliances makers.

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Kamil Ostrowski

I help B2B founders scale in 6 weeks - no hiring, no new tools, just custom AI Automation & AI Agents

6d

Good catch. Security and privacy are also classic Swiss plays. Neutral, trusted, and paid by everyone.

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