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Why This Pricing Makes No Fucking Sense

Started digging into this after our team standup where three people said they couldn't afford Cursor. The math is completely broken.

My Cursor subscription costs €22.80/month because of German VAT bullshit. That's maybe an hour of work for me. But our contractor in Romania? Same €22.80 costs him like 3-4 hours of work. Our intern from Bangalore would spend her entire daily wage on it.

Here's the brutal numbers I dug up using Stack Overflow's 2024 developer survey data and OECD purchasing power data:

SF developer making $150k: Cursor costs 8 minutes of work
Me in Berlin making €70k: About 45 minutes
Developer in Warsaw making $30k: 2.5 hours
Developer in Bangalore making $15k: 6+ hours of work every month

Found this forum thread where a guy calculated that $20/month is actual rent money for developers in most countries.

OpenAI Logo

The pricing disparity becomes even more apparent when you look at OpenAI's global user base versus their flat pricing model. Meanwhile I drop more than that at Starbucks without thinking.

The currency fuckery is even worse. Brexit nuked the pound and UK developers suddenly paid 15% more for identical AI completions. No email, no heads up, just "lol your subscription costs more now because forex." My British colleague Dave started getting PAYMENT_DECLINED errors in March 2025 because his card issuer flagged the sudden price jump as potential fraud. Took him two hours on the phone with Barclays to unblock it.

VAT Bullshit Makes Everything Worse

The pricing is already broken, then EU customers get surprise-fucked by VAT they hide until checkout.

Claude Pro advertised $20/month. My N26 statement: €22.40. Turns out German VAT is 19% extra they "forgot" to mention upfront. So I'm already eating shit compared to Americans because German salaries are lower, then paying another 19% because tax bullshit.

Every EU country gets screwed differently: UK pays 20% extra VAT, Denmark gets hit with 25%, Germany adds 19% (me).

The VAT rate differences across Europe create massive pricing inconsistencies that nobody talks about.

Plus currency fluctuations randomly change your effective price. The pound dropped after Brexit and UK developers just started paying more. No notification, no extra features, just "your AI tools now cost 15% more because exchange rates."

Learned this the hard way when our London office's Cursor subscriptions got suspended in bulk because their accounting software couldn't handle the fluctuating charges. Error message: BILLING_AMOUNT_MISMATCH. Turns out their auto-payment system was configured for exactly £16.80, but the actual charge was £17.24 that month due to exchange rate drift. Took three days to sort out because Cursor support is in California and kept suggesting we "just update our payment settings" without understanding that UK corporate cards don't work that way.

Same thing happened when the euro weakened against the dollar last year. European developers got a silent price increase while Americans paid the same amount. Our Romanian contractor's bank rejected three Cursor payments in a row because the charges kept fluctuating between €18.40 and €19.20. Error code DECLINED_AMOUNT_VARIANCE - apparently Romanian banking regulations flag subscriptions with >2% price variance as potentially fraudulent. Took a week of emails with both his bank and Cursor support to whitelist the merchant.

Students Get Completely Fucked

The people who need these tools most can't afford them.

A CS student at IIT Bombay making ₹12k/month (~$150) internship money can't blow ₹1600 ($20) on Cursor. That's 13% of their income for a dev tool. Stanford CS kids making $7k/month internships don't even notice the charge.

Saw this shit firsthand with our last intern batch. The SF and NYC kids showed up already fluent in AI workflows - they could afford to fuck around with these tools all through college. The equally brilliant kids from Chennai and Prague? Six months behind on AI tooling because they got priced out of even learning it.

The Prague kid, Pavel, was actually better at algorithms than anyone else but had never used AI assistance. First week he's manually writing boilerplate React components while the Stanford intern is generating full page layouts with Cursor. Not because he's less capable - because $20/month was rent money for him as a student and his parents couldn't justify it. Took us three months to get him caught up on AI workflows, and he's still pissed about losing that time.

Our startup is kind of fucked too. We raised $300k and burn $200/month on AI tools for 5 developers.

Microsoft Logo

Microsoft's Azure pricing calculator shows how regional pricing should work in practice. That's fine now but when we were bootstrapping? $40/month per developer was actually expensive. Had to choose between Cursor licenses and our third server instance on DigitalOcean. Guess which one actually keeps the lights on?

YC startups with $2M rounds don't even think about it. They just expense everything and move on. But when you're burning through a $50k pre-seed round, every subscription matters. I spent an entire weekend in February migrating everyone to Continue.dev with local Code Llama just to save $200/month. Productivity dropped maybe 20% but we stayed alive three extra months.

Nobody Gives a Shit About Fixing This

Cursor IDE Logo

Only JetBrains seems to get it. Their student licenses work globally, not just for Stanford and MIT.

JetBrains' regional pricing strategy demonstrates that developer tools can be both profitable and accessible globally. Plus their AI Assistant costs less in emerging markets because they're not idiots.

GitHub has student packs with free Copilot but try proving you're a student at some university in Bangladesh. Good luck with that verification process. Also it expires when you graduate, exactly when you need it most for job interviews.

GitHub Copilot Logo

GitHub's student verification process heavily favors Western institutions with established digital verification systems.

Microsoft is the most frustrating. They do regional pricing for everything else: Office 365 is way cheaper in India, Azure pricing has regional variations, Xbox Game Pass costs less in emerging markets, even fucking Windows licenses cost less in poor countries.

This Microsoft regional pricing strategy works across all their products except AI tools.

But Copilot? Nope, flat $10/month whether you make $150k or $8k. Same company, completely different pricing philosophy.

Cursor's response to pricing complaints was essentially "API costs are too high, tough shit". Pure bullshit. Netflix pays per-stream licensing and still nails regional pricing. They just don't want to earn less from rich markets.

The "API Costs" Excuse is Bullshit

Every AI company hides behind "we pay API costs per request" when asked about regional pricing.

Netflix pays licensing fees per stream and still charges $3/month in India vs $15 in the US. Spotify pays per play and does regional pricing. Adobe Creative Cloud pays cloud costs and offers cheaper pricing in emerging markets.

The real math: OpenAI API pricing runs $0.10-0.30 per 1000 tokens. A typical Copilot completion uses maybe 50-200 tokens, costing $0.005-0.06 per completion. Even heavy users cost under $2/month in API fees.

The actual cost structure shows API costs are minimal compared to subscription fees.

The other $8-18 of your subscription is profit margin, which doesn't depend on your location. They just want to maximize revenue from rich markets instead of growing their user base globally.

This Creates a Two-Tier Developer World

The pricing disparity is creating a fucked up two-tier system.

Developers with AI experience (expensive, usually from rich countries) vs developers without (cheaper, but less productive because they can't afford the tools). Companies hiring globally end up with teams where half the developers have AI assistance and half don't.

Our remote team is a perfect example. The US and EU developers use Cursor, Copilot, and Claude Pro. The developers from cheaper countries use free alternatives or nothing. Same companies, same codebases, completely different productivity levels.

This bit us hard during a production incident in August 2025. Our main API started throwing ECONNRESET errors under load and we needed to debug fast.

The debugging experience gap between AI-assisted and manual debugging is massive during high-pressure incidents. The Berlin and NYC developers spun up AI-assisted root cause analysis in minutes - Cursor helped them trace through 10,000 lines of connection pooling code while Claude generated test scenarios. The Bangalore developer was manually grepping through logs because he couldn't afford AI assistance. Incident took 4 hours to resolve instead of 30 minutes, cost us $50k in lost revenue, all because we couldn't justify $240/year for global tool access.

Plus talented developers are starting to migrate just to access better tools. Brain drain accelerated by subscription pricing.

What Should Actually Happen

It's not rocket science. Other software companies figured this out years ago.

Just copy Spotify: $1.99/month in India, $9.99 in the US, same service. They make more money from 10x Indian users at $2 than from 1x US users at $10.

Spotify's regional pricing model proves you can maintain quality while adjusting for local purchasing power.

Real student pricing - not just for MIT and Stanford. If you're a student anywhere, you should get free or cheap access. Period.

Give early-stage companies in emerging markets free credits that scale with their funding rounds.

Stop hiding VAT. Just show the real price including taxes upfront.

The tech exists. Netflix, Spotify, Adobe, Microsoft, Steam, and basically every other software company does regional pricing. AI companies are just choosing not to because they'd rather extract maximum money from rich markets than grow their user base globally.

Global Tech Companies

Claude AI Logo

The established patterns for global software pricing show clear paths for AI companies to follow - they just choose not to.

These tools could actually democratize coding. Instead they're creating the biggest barrier to entry in programming history. And the companies with power to fix it are choosing not to.

Programming Accessibility

The gap between AI-assisted and manual coding is creating a new digital divide in software development.

How Much These Tools Actually Cost Around the World

Location

Avg Dev Salary

GitHub Copilot

Cursor Pro

Claude Pro

How Fucked You Are

San Francisco

~$150k/year

0.08%

0.2%

0.14%

Barely noticed

Berlin

~$50k/year

0.24% + VAT

0.48% + VAT

0.48% + VAT

Manageable

London

~$55k/year

0.22% + VAT

0.44% + VAT

0.44% + VAT

Manageable but annoying

Warsaw

~$25k/year

0.48%

0.96%

0.96%

Noticeable expense

Bangalore

~$8k/year

1.5%

3.0%

3.0%

Significant budget hit

Ho Chi Minh City

~$6.4k/year

1.87%

3.75%

3.75%

Major expense

Lagos

~$4k/year

3.0%

6.0%

6.0%

Completely unaffordable

The Hypocrisy is Fucking Unreal

What pisses me off most isn't even the pricing - it's watching these CEOs preach about "democratizing AI" while systematically pricing out 90% of the world's developers.

Anthropic's constitutional AI principles claim to make AI safe for humanity, then they charge $20/month whether you're pulling $150k in SF or $4k in Lagos. Their company mission talks about AI safety but ignores economic accessibility. A Nigerian dev burns 5% of their monthly income on Claude Pro while some Google engineer spends 0.1%. "AI for all humanity" - sure, if humanity only includes people with Silicon Valley paychecks.

Sam Altman won't stop tweeting about building AGI for all humanity while OpenAI's API pricing is dead flat globally. Their usage policies mention global access but their pricing model completely ignores purchasing power parity. Guess "all humanity" just means people who can afford Palo Alto rent.

This one makes my blood boil. Microsoft owns GitHub and won't shut up about their AI for Good initiative every fucking quarter. They publish AI fairness research and responsible AI principles. But they do regional pricing for literally everything else: Office 365 in India is 60% cheaper than US pricing, Azure regional pricing varies by location, Xbox Game Pass regional plans are adjusted for local markets, Windows licensing costs way less in poor countries.

GitHub Copilot? Flat $10/month globally. Same fucking company, completely different philosophy when it comes to developers. They either forgot how to do regional pricing or just don't give a damn about anyone outside Redmond.

Everyone hides behind "API costs" too. Every company says the same thing when asked about regional pricing: "We pay per API call so we can't discount." Cursor literally said this when developers complained. You can see similar responses on GitHub Discussions and OpenAI's community forum.

It's bullshit. Netflix's content licensing model pays per-stream and they still charge $3/month in India vs $15 in the US. Their Q4 2024 earnings prove they make more money from 10x Indian subscribers at $3 than 1x US subscribers at $15.

AI companies could do the same - offer basic completions at regional pricing, keep premium features at full price. But that requires accepting lower margins, and why do that when you can just exclude poor countries entirely? The freemium model research shows exactly how to do this profitably.

The tech for regional pricing exists. Every other software company figured it out years ago. Steam's regional pricing uses purchasing power parity data, Spotify's global strategy adjusts by market, Adobe Creative Cloud regional plans vary by country, Microsoft's market strategy - they all charge less in poorer countries and make more money overall.

AI companies are just choosing not to because they'd rather extract maximum profit from rich markets than actually democratize anything. There's even academic research on optimal pricing strategies that proves regional pricing increases total revenue. They just don't want to do the work.

These tools could make coding accessible worldwide. Instead they're creating the biggest barrier to entry in programming history.

Global Software Access The World Bank's digital development strategy specifically calls out software accessibility as crucial for global economic development, but AI companies completely ignore it.

Developer Questions About This Pricing Bullshit

Q

Why don't AI coding tools do regional pricing like Netflix?

A

Because they're greedy and emerging markets aren't desperate enough to force their hand yet.Netflix cracked the code

  • 10 Indian subscribers at $3/month beats 1 subscriber at $15/month. AI companies haven't figured this basic math out because they're still swimming in money from rich developers who don't blink at $20/month.The "API costs" excuse is garbage. Netflix pays licensing fees per stream, Adobe pays processing costs per user
  • they all have variable costs but still do regional pricing. AI companies just don't want lower margins when they can extract maximum revenue from Silicon Valley.
Q

How much more expensive are these tools really?

A

A Lagos developer pays 37x more than a San Francisco developer as a percentage of income.

Not 37%

  • thirty-seven fucking times more.Here's the brutal math:San Francisco dev ($150k salary):

Copilot = 8 minutes of workBangalore dev ($8k salary): Copilot = 4 hours of workLagos dev ($4k salary): Copilot = 6.7 hours of work

And that's before VAT. European developers pay another 20-25% on top because vendors can't be bothered to absorb tax differences.If your rent suddenly cost 37x more overnight, you'd be living in your car. That's what flat global pricing does to most of the world's developers.

Q

Do any AI tools actually do regional pricing?

A

Jet

Brains is the only company not completely screwing over international developers.

Their AI Assistant follows the same pricing as their IDEs

  • 40-60% cheaper in emerging markets. Shocking that the company from Czech Republic understands purchasing power parity better than Silicon Valley unicorns.GitHub Education gives students free Copilot, but good luck proving you're a "verified student" if your university isn't Stanford. Plus it ends when you graduate and actually need it for your first job.Their verification system is completely fucked for non-US universities. Had a friend from University of São Paulo whose student ID got rejected five times because the automated system couldn't parse Portuguese university documents. Error message just said `VERIFICATION_FAILED

  • INVALID_INSTITUTION`. Support kept asking for "official transcripts" but wouldn't specify what format they needed. Took four months to get approved, then his access expired three weeks before graduation when he needed it most for job interviews.Everything else? Flat pricing, fuck you:

  • GitHub Copilot: $10/month everywhere because Microsoft "forgot" how to do regional pricing for developers

  • Cursor:

Explicitly said regional pricing is "not viable" (translation: "we like money more than users")

  • Claude Pro: $20/month globally because "constitutional AI" apparently doesn't cover economic justice
  • Tabnine: $12/month worldwide with educational discounts if you can navigate their bureaucracy

Some developers use VPNs to get regional pricing from other services, but that violates ToS and isn't sustainable. Plus most AI tools don't even have regional pricing to exploit.

Q

Why is student pricing so fucked up?

A

Because AI companies treat education like charity instead of investment.An MIT student spending $20/month on Cursor barely notices it

  • that's 1% of their typical budget. An IIT Bombay student (at India's MIT equivalent) spending the same amount loses 13% of their budget. A University of Lagos student? That's 25% of their entire monthly budget for a coding tool.The students who most need AI tools to compete globally are the ones getting priced out of learning them. It's creating a graduated education system where your university's location determines what tools you can learn on.Meanwhile, these same companies talk about "the next generation of developers" and "empowering computer science education." Just not if you're learning CS outside of wealthy countries, apparently.Universal student pricing at $2-5/month globally would cost these companies almost nothing but would actually democratize AI education. Instead, they gatekeep their tools behind geographic lottery systems.
Q

What about alternatives to these expensive tools?

A

There are some, but you're usually trading capability for affordability.

Free/Open Source Options:

  • Continue.dev:

VS Code extension that works with local models. Works okay with Code Llama but you need decent hardware

  • StarCoder: Open source completion model.

About 6 months behind GPT-4 but it's free

  • Code Llama: Meta's free model you can run locally.

Good for basic completion if you have 16GB+ RAMRegional Competitors:

  • China:

DeepSeek offers coding assistance way cheaper than Western tools

  • India: Sarvam AI is building localized models with reasonable pricing
  • Brazil:

A few local companies working on Portuguese-optimized tools

The trade-off is usually capability. These alternatives are typically 6-12 months behind cutting-edge tools like GPT-4 or Claude. But if you can't afford $20/month for Cursor, a slightly worse free alternative beats no AI assistance at all.I've been running Continue.dev with local Code Llama

  • it's maybe 60% as good as Copilot but costs jack shit after the initial setup pain. Worth the weekend of config hell if you're priced out of the fancy stuff.Fair warning though: Code Llama completely shits itself on Node.js 20.x with ESM imports.

Had to downgrade to Node 18.17.0 and switch everything back to CommonJS just to get stable completions. Error you'll see: ReferenceError: require is not defined in ES module scope and the model just returns garbage. Took me three days to figure out it was a Node version issue, not my config.

Q

What about cryptocurrency payments to avoid fees?

A

Mixed results:

Some developers use crypto to reduce transaction fees, but this creates new problems:

  • Volatility risk:

Crypto prices swing 10-20% monthly, creating unpredictable costs

  • Tax complications: Many countries treat crypto payments as taxable events
  • Limited vendor acceptance:

Most AI tool vendors don't accept crypto payments

  • Regulatory risk: Some countries restrict or ban crypto transactionsTried this with a VPN + crypto setup in 2024.

Lasted two months until Anthropic flagged my account for "unusual payment patterns" and locked me out. Support email just said "We cannot discuss account security measures" and ignored three follow-up tickets. Had to create a new account with my real payment info and lost all my conversation history.Better solution: Vendors should integrate local payment methods (UPI in India, PIX in Brazil, mobile money in Africa) rather than forcing international transactions.Our Bangalore team lead tried to pay for Cursor with UPI through a payment gateway service. Worked for two months, then Git

Hub flagged his account as "high-risk" because the payments were coming from an Indian fintech intermediary. Account got suspended with PAYMENT_RISK_DETECTED and they demanded he switch to an international credit card. Problem is, most Indian developers don't have international cards, and the ones that do charge 3-4% foreign transaction fees.

Q

How do multinational companies handle global team pricing?

A

Enterprise strategies vary widely:Uniform global deployment: Large companies often absorb regional cost differences to ensure all developers have identical tooling. A company might spend $200/month for 10 developers whether they're in San Francisco or Bangalore.Regional budget allocation: Some companies adjust team sizes by region to account for tool costs. Instead of 10 developers with AI tools in Bangalore, they might hire 12 developers with limited AI access.Tool standardization: Companies sometimes choose different tools for different regions — Copilot for US/EU teams, local alternatives for emerging market teams.The result: Global teams within the same company often have different development capabilities based on regional budget considerations.

Q

Are there viable alternatives to expensive AI tools?

A

Open source and local alternatives are emerging:Free/open source options:

  • Code Llama:

Meta's free code generation model, runnable locally

  • StarCoder: Open source code completion, hosted locally or on Hugging Face
  • Continue.dev:

Open source VS Code extension with multiple model backendsRegional competitors:

  • China:

DeepSeek offers coding assistance at fraction of Western prices

  • India: Sarvam AI developing localized coding models
  • Russia:

YandexGPT includes code generation capabilitiesThe trade-off: These alternatives often lag 6-12 months behind cutting-edge tools like GPT-4 or Claude, but they're accessible to developers priced out of premium options.

Q

Will AI tool pricing get better or worse?

A

Probably worse in the short term:

  • USD strengthening:

American currency rising against most emerging market currencies

  • Inflation differential: High inflation in emerging markets while AI tool prices stay fixed in USD
  • Enterprise focus:

Vendors prioritizing high-margin enterprise customers over individual developersPotential improvement drivers:

  • Local competition:

Regional AI companies offering affordable alternatives

  • Government pressure: EU and other regulators considering digital equity requirements
  • Corporate demand:

Multinational companies wanting uniform global tool access

  • Market saturation: US/EU markets reaching saturation, forcing vendors to consider emerging marketsTimeline: Meaningful regional pricing probably won't arrive until 2026-2027, when competitive pressure forces vendor response.
Q

How can developers advocate for better pricing?

A

Individual actions:

  • Document the impact:

Share specific budget impact data in vendor forums

  • Support alternatives: Use open source or regional tools when possible
  • Corporate advocacy:

If you work for a multinational, push for global tool standardization requirementsCommunity actions:

  • Organized feedback:

Coordinate developer responses to vendor pricing surveys

  • Alternative tool promotion: Contribute to open source AI coding projects
  • Educational advocacy:

Push universities to demand educational pricing for global studentsGovernment/regulatory:

  • Digital equity advocacy:

Support legislation requiring fair pricing for essential digital tools

  • Competition promotion: Advocate for policies supporting regional AI development
Q

What's the real solution to this problem?

A

Purchasing Power Parity pricing:

Adjust prices based on local economic conditions, like successful software companies have done for decades.Concrete example of what should happen:

  • USA/Western Europe: $20/month (current pricing)

  • Eastern Europe: $12/month (40% discount)

  • Latin America: $8/month (60% discount)

  • Asia/Africa: $4/month (80% discount)Feature differentiation:

  • Basic tier:

Core AI completion and chat, available at regional pricing

  • Premium tier: Advanced features (Agent modes, premium models) at consistent global pricing
  • Enterprise tier:

Full feature set with support, negotiated pricingEducational access:

  • Global student pricing: $2/month for verified students worldwide
  • Startup programs:

Free access for early-stage companies in emerging markets

  • Open source contributor: Free access for maintainers of popular projectsThe bottom line: The technology and business models exist. What's missing is the will to prioritize global accessibility over maximum revenue extraction from wealthy markets. The companies with the power to democratize AI-powered development are choosing not to, and the global developer community suffers for it.

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