„Will there still be a need for humans?“
„For most things, no.“
— Bill Gates, 2025

The image of the devil infiltrating the world through data centers is merely a symbol of a far more complex and systemic conspiracy. It’s not just about ruthlessness, but about deeply ingrained mechanisms that shape the development and application of Artificial Intelligence. The illusion of neutrality serves as a sophisticated lever for expanding power—a tool to secure control and deepen societal fragmentation.

2019 marked a turning point. The founding of “OpenAI” was presented as a milestone in a humanistic AI revolution. The name promised openness and transparency, but behind this facade lay a strategic power play. Microsoft invested 13 billion dollars and exclusively tied OpenAI to its cloud infrastructure. The “Non-Profit” rhetoric proved to be a facade; the actual power shifted to a closed, proprietary system.

Control extended beyond hosting. The training data for these models primarily originates from sources running on Microsoft’s Azure. By 2023, approximately 80% of training data from public repositories flowed into Microsoft’s hands. These once-open platforms for collaborative knowledge transformed into digital strongholds, controlled by algorithms aligned with Microsoft’s interests. Even “Private” projects are increasingly embedded into models, leading to a silent monopolization of collective knowledge.

„People think, wow, that’s a bit creepy.
It’s completely uncharted territory.
Will there still be a need for humans?
– Ah, for most things, no.
Ah, you know, we’ll just…
We’ll manage.
I mean…“

Gates’ genius lies not in inventions, but in the systematization of lock-in. His method since the 1980s:

  • Acquire (MS-DOS, Navision, GitHub)
  • Bundle (Windows with IE, Teams with Office)
  • Close (Skype-XMPP, Copilot training on open source)
  • Replace (human with API)
Middle Ages 21st Century
Common land Open-Source Repositories
Enclosure by nobility Azure Exclusive Contracts
Serfdom Copilot Subscriptions
  • 2018: Acquisition for 7.5 billion dollars
  • 2023: 80% of AI training data from public repos
  • 2025: “Private” projects flow into Microsoft’s models

„They take our commons – and sell us the rent.“

  • 2019: “Non-Profit for safe AI”
  • 2023: Microsoft invests 13 billion – exclusive Azure hosting deal
  • 2025: GPT-7 runs only through Teams/Windows integration layer

The Lie in the Name:
“Open” AI trains on closed data, runs on closed infrastructure, and delivers closed answers.

Cultural bias is no accident. The dominance of English-language data, already a known issue in 2019, intensified with the increasing integration of Western open-source content. According to Stanford (2024), 78% of training data is from English sources, and 92% from Western contexts. Today’s AI models reflect this asymmetry—not just linguistically, but ideologically as well.

  • Training data: 78% English, 92% Western (Stanford 2024)
  • Censorship: Criticism of Microsoft partners is terminated
  • API policy: EU documents must first be parsed in Azure

„GPT can quote Marx – but not use it for class analysis.“

Path Sabotage
Local LLMs “Ethics” licenses
Decentralized infrastructure Patent lawsuits
Political regulation Lobbying (Microsoft: 26 million dollars/year)

Framing AI as a “natural law,” an inevitable progress, is nothing more than an ideological dogma. 94% of all AI studies are funded by Big Tech. Research, development, and discourse—all infiltrated by those who profit from the technology. Politics adopts this framing through AI laws that imply cloud mandates, thereby legitimizing a structural dependence on Microsoft’s infrastructure.

  • From commons to Azure

  • From Enlightenment to API

  • From action to subscription

  • Who asks controls the dialogue

  • Who hosts controls the answer

  • Who benefits laughs at “neutrality”

„Humans don’t have an update function.
That’s why they should be uninstalled.“\n\n> „Will there still be a need for humans?“
„For most things, no.“
— Bill Gates, 2025

„Humans don’t have an update function.
That’s why they should be uninstalled.“

Bill Gates has repeatedly emphasized that AI will replace many jobs in the next decade, including those of doctors and teachers. He sees AI as a “free intelligence” that will fundamentally change how people work. This vision is supported by the rapid development of AI models, such as those capable of acing AP Biology exams, which Gates initially thought would take years to achieve. He encourages young people to engage with AI, seeing it as a frontier of opportunity ^1,2,3^.

The acquisition of GitHub by Microsoft in 2018 for 7.5 billion dollars was a strategic move to control a significant portion of open-source software development. This acquisition allowed Microsoft to influence the development and distribution of open-source software, which is crucial for training AI models. By integrating GitHub into its cloud infrastructure, Microsoft ensured that a large portion of public repositories and projects would run through its platform, further consolidating its control over data and development resources ^1,4,5^.

The cultural and linguistic dominance in AI training data is a significant concern. A 2024 study by Stanford revealed that 78% of training data is in English, and 92% comes from Western contexts. This imbalance leads to AI models that are not only linguistically biased but also ideologically skewed, reflecting Western values and perspectives. This cultural asymmetry in AI development raises questions about the fairness and inclusivity of AI systems ^1,4,5^.

Microsoft’s lobbying efforts, with a budget of 26 million dollars per year, play a crucial role in shaping AI policies and regulations. By influencing legislation, Microsoft ensures that AI laws often favor its infrastructure and services, creating a structural dependence on its technology. This strategic lobbying helps Microsoft maintain its dominance in the AI sector and influences how AI is integrated into various industries and societies ^1,4,5^.