Who owns the world's knowledge?

The Ruling That Changes Everything

On June 29, 2026, the US Supreme Court issued a ruling of historic significance: the Federal Trade Commission (FTC) is no longer independent — the US President can dismiss its commissioners at any time. For data protection, the AI economy, and the question of who owns the world's knowledge, this marks a turning point. The FTC had until now been the guarantor of transatlantic data transfers — the foundation for Safe Harbor, Privacy Shield, and the current Data Privacy Framework. But that foundation has now crumbled. Max Schrems, who has already successfully challenged such agreements before the ECJ twice, is taking the matter to court again:

„EU law requires independent oversight — that no longer exists."

„This means European data is no longer safe in the US!"

US intelligence agencies can access data — US companies must hand it over even when stored in Europe.

The New Currency: Knowledge as Token

The ruling exposes a deeper economic problem. The leading currency of the digital economy is knowledge, traded as tokens — the smallest unit of processing in an AI model. Syllables, word fragments, and short words are billed in the millions (approx. $2.50 per million tokens). Goldman Sachs forecasts: global token consumption will rise to 120 quadrillion tokens per month by 2030 — a factor of 24 compared to today. For Germany, this means an estimated token import worth €157 billion annually, around 3.51% of GDP. For comparison: the automotive industry currently accounts for 10.3% of GDP; token imports would be larger than energy imports (€120 billion) and almost twice the German defense budget.

But the economic risk goes deeper: with every query to GPT, Claude, or Gemini, corporate data, trade secrets, and know-how flow into US models, making OpenAI, Anthropic & Co. smarter — we pay twice: with money and with our knowledge. Data sovereignty must become the paramount goal.

Dependency and Market Dynamics: David vs. Goliath

The numbers are sobering: the six largest American technology corporations are together six times more valuable than the entire German economy. And their business model is clear: Europe pays for AI services, while knowledge is exported and imported — a permanent transfer of value creation and control.

The problem of data outflow is already a reality. A current example: the startup DigitalApplied used the Anthropic Claude API to develop a feature that was supposed to export coding sessions as private, shareable HTML pages. Shortly before launch, Anthropic integrated this feature natively into Claude AI — the startup's unique selling point was gone, the investment lost. This case shows: what users and companies feed into large AI platforms today can be taken over by hyperscalers tomorrow and used directly in their own products — without warning, with significant economic consequences.

Anyone who works with AI systems experiences immediate productivity gains. But the dependency grows quietly: business logic, processes, and internal know-how flow into the systems of American and Chinese providers. One political decision abroad — and Europe is left empty-handed. According to Menlo Ventures, US providers now control over 80% of the enterprise AI market, and the global market for generative AI is growing exponentially.

Investment Failure: Numbers That Hurt

Germany invests too little in AI — that is a fact. In 2020, 0.6billionflowedintoAIinvestmentsinGermany,comparedtoover0.6 billion flowed into AI investments in Germany, compared to over 0.6billionflowedintoAIinvestmentsinGermany,comparedtoover23 billion in the US. Even in 2022, with $2.35 billion in private AI investments, Germany only ranked 7th globally. China invests six times as much, the US more than twenty times as much. Measured by GDP, Germany's IT and AI investment rate is far below the internationally necessary level. The WEF warns: more than half of German companies expect massive impacts from geopolitical fragmentation by 2030 — and yet the political will for decisive action is lacking.

The Potential: A New Economic Miracle

But there is hope: the value creation potential from generative AI is up to €530 billion annually, according to IW Consult — provided at least half of German companies adopt AI. NRW alone could generate €67.8 billion in value creation, Bavaria €61.2 billion. The foundation is there: strong industry, excellent research, over 150,000 employees in AI startups.

This potential will only be realized, however, if Germany and Europe stop importing knowledge — and begin producing and exporting it.

Data Sovereignty: More Than a Buzzword

The FTC ruling shows: market power in the digital economy is real and is being abused. Those who feed their data and business processes into foreign AI systems lose control. Data sovereignty is not a luxury question, but the foundation of economic independence. Every transfer of production data, customer data, and research results to external AI systems strengthens the competitiveness of future competitors.

The Way Out: Sovereign AI Infrastructure — Now

The solution is not abstinence, but self-sufficiency. Germany needs:

Its own AI platforms that operate independently of US or Chinese models, keep data within the company, and drastically reduce token costs.

A European AI ecosystem with a massively increased investment share of GDP.

Political will for targeted prioritization. Platforms like the neuland.ai HUB show what is possible: reducing token costs by a factor of 100X to 1,000X — on-premise even close to zero, data-sovereign, European.

Conclusion: Now or Never

The token trap has snapped shut. But we can still act. +€500 billion in value creation potential, digital sovereignty — this is no utopia, but the choice Europe must make now. Those who sleep through the AI revolution will be left behind. The clock is ticking — in tokens.

Warnung:

We are naively and too trustingly handing our data and knowledge over to large hyperscalers such as Anthropic, Microsoft, OpenAI and others — and in doing so, we are putting our economic agency at stake.