Bottom-up technology for everyone — why AI should cost $2, not $20

There's a pattern in tech history that keeps repeating.

First, a new technology emerges. It's expensive, accessible only to well-funded companies and wealthy individuals. Then, over time, costs drop. The technology becomes democratized. Everyone gets access.

But with AI in 2024–2026, something different is happening.

The costs are dropping — rapidly. But the prices aren't.

The economics don't add up

Claude Haiku — one of the most capable AI models available — costs roughly $0.25 per million input tokens to run. A typical power user sends maybe 50,000 tokens per month in chat messages.

That's $0.0125 in raw API cost per month per user.

ChatGPT charges $20/month. That's a 1,600x markup.

This isn't about covering costs. This is about extracting maximum value from users who have no alternatives — or who don't know alternatives exist.

Who pays the real price

For a developer in San Francisco earning $180,000/year, $20/month for ChatGPT is nothing. It's a rounding error on a rounding error.

For a developer in Lagos earning ₦800,000/month (~$500), that same $20 — which becomes ₦32,000 with Nigerian pricing — is 6% of their monthly salary.

For a developer in Dhaka earning BDT 50,000/month (~$450), ChatGPT at BDT 2,200 is 4.4% of monthly income.

For a developer in Cairo earning EGP 12,000/month (~$240), ChatGPT at EGP 980 is 8% of their salary.

The same tool. The same capability. Wildly different real-world cost.

The "trickle-down" AI model

The implicit assumption in Big Tech AI pricing is that productivity gains from AI will eventually reach everyone — after the profits have been extracted.

This is trickle-down economics applied to software.

Developers in New York, London, and Tokyo get AI that makes them dramatically more productive today. Developers in Nairobi, Karachi, and Manila get... to wait until the market decides they're worth serving at a price they can afford.

Except the market often never makes that decision. Why lower prices when the premium market is so profitable?

Bottom-up technology

The alternative approach: price from the bottom up.

Start with "what can everyone afford?" and build from there.

$2/month is meaningful to a developer in Seattle (it's nothing — they'll barely notice it). It's also meaningful to a developer in Accra (it's genuinely affordable — they'll actually use it).

This isn't charity. It's a different business model:

• Many users at low price > fewer users at high price
• Global reach > premium market lock-in
• Real usage > aspirational pricing

What this looks like in practice

SimplyLouie is an AI assistant built on Claude (Anthropic's model). It costs $2/month globally — or in local currencies:

• 🇮🇳 India: Rs165/month (vs Rs1,600+ for ChatGPT)
• 🇳🇬 Nigeria: ₦3,200/month (vs ₦32,000+ for ChatGPT)
• 🇵🇭 Philippines: ₱112/month (vs ₱1,120+ for ChatGPT)
• 🇰🇪 Kenya: KSh260/month (vs KSh2,600+ for ChatGPT)
• 🇬🇭 Ghana: GH₵25/month (vs GH₵250+ for ChatGPT)
• 🇮🇩 Indonesia: Rp32,000/month (vs Rp320,000+ for ChatGPT)
• 🇧🇷 Brazil: R$10/month (vs R$100+ for ChatGPT)
• 🇲🇽 Mexico: MX$35/month (vs MX$350+ for ChatGPT)

50% of revenue goes to animal rescue. The business model works because volume + mission > premium extraction.

The real question

When a technology becomes 1,600x cheaper to run than the price being charged, who is that price serving?

Not the users.

Bottom-up technology starts with the user's reality — their income, their local economy, their actual budget — and prices accordingly.

That's the only way AI actually becomes democratized, instead of just advertised as democratized.

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Try SimplyLouie free for 7 days: simplylouie.com. $2/month after trial.