A Manifest for the Future our Children will Inherit

A Manifest for the Future our Children will Inherit

The modern tech industry is increasingly defined not by free competition, but by concentrated power. A small number of accelerator networks, venture capital firms, platform owners, and media gatekeepers now exert disproportionate influence over what products are seen, funded, promoted, and ultimately allowed to succeed. This is not a conspiracy theory, it is a structural reality acknowledged even by insiders.

The Myth of the Meritocracy

We are told that technology rewards the best ideas. In practice, it rewards distribution, access, and alignment with existing power structures. Entrepreneurs who choose independence, and who refuse to dilute ownership, ideological control, or long-term autonomy — Face structural disadvantages that have nothing to do with product quality, customer value, or technical excellence.

Search visibility, media coverage, conference stages, partnerships, and even procurement pipelines are increasingly dominated by a closed feedback loop of insiders funding insiders. This is not healthy competition. It is network capture.

The Erosion of Democratic and Market Principles

At the same time, we are witnessing something larger and more troubling, particularly in the United States. Regulatory capture is increasing.

  • Corporate lobbying has eclipsed voter influence.
  • Media consolidation narrows acceptable discourse.
  • Financial power increasingly dictates political outcomes.
  • Democracy is not collapsing overnight — it is quietly degrading, replaced by a system where choices exist in theory, but not in practice.
  • You can "choose" between platforms, services, and vendors — but the underlying ownership, incentives, and power structures are often identical.
  • This mirrors what economists and political scientists have long warned about; When markets lose competition, democracies weaken alongside them.

Why Independence Matters

True innovation requires freedom. Freedom to:

  • Build without permission
  • Say no to capital with strings attached
  • Leave jurisdictions that become hostile to business or civil liberties
  • Prioritize clients over investors
  • Design systems for long-term value, not short-term exits

Accepting money is not inherently wrong — but dependency is dangerous. Whether it comes from venture capital, governments, or monopolistic platforms, funding always carries incentives. Sometimes explicit. Often hidden. We choose independence so we can remain accountable only to our clients, our ethics, and reality itself.

Sovereignty, and the Future of AI

We as a specie collectively have a rare opportunity today. Not to replicate Silicon Valley another place, but rather to offer an alternative:

  • Stronger privacy norms
  • Real competition
  • Regulatory balance
  • Technological sovereignty
  • Founder-led companies that are not optimized for acquisition

Believing that "governments" will voluntarily give us the above, is delusional to the point of self serfdom!

AI, in particular, must not become another centrally controlled layer where innovation exists only at the mercy of a few dominant actors. Decentralized intelligence, open standards, and independent providers are not just good for business — they are essential for a free society.

Our Position

We believe:

  • Free markets require real competition
  • Innovation requires independence
  • Democracy requires limits on concentrated power
  • Technology should serve users, not gatekeepers

We are building accordingly.

  • No accelerator dependency.
  • No political favors.
  • No ideological capture.

Just good ol' fashion engineering, accountability, and long-term thinking.

The future does not belong to the most connected. It belongs to those willing to build without permission. We are building, and we're not asking anyone for permission! If you share our vision, you are welcome to join the club

Thank you for reading 😊

Thomas Hansen

Thomas Hansen

I am the CEO and Founder of AINIRO.IO, Ltd. I am a software developer with more than 25 years of experience. I write about Machine Learning, AI, and how to help organizations adopt said technologies. You can follow me on LinkedIn if you want to read more of what I write.

This article was published 9. Feb 2026

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