The Problem
Nearly every major AI system today is owned by a private corporation. There is no real public-interest alternative — nothing built to serve people instead of profit. That has set off an arms race, with companies competing to build the most powerful AI not because the public asked for it, but to seize market share and drive returns. Meanwhile, politicians fully aware of the risks have accepted money and influence from these same corporations, while negligently looking the other way instead of fulfilling their regulatory oversight responsibilities.
Our Position
We oppose this concentration of power, just as we oppose every concentration of power. And we oppose the quiet, deceptive way data centers are being pushed into communities over loud local objections, while the strain on water, power, the environment, and impact to community wellbeing is recklessly dismissed.
To those who believe AI is a net negative for human civilization and our planet: we are right there with you. Even the biggest promises of AI, many of which have not been realized, do not appear to be worth the cost we are all paying.
What we must be aware of is who is already using AI to its fullest. The same actors building systems of mass surveillance, stripping away rights, and integrating AI into military operations are not waiting for permission. In a world like this, people retain both the right and the obligation to resist abuses of power and corruption — and to do that, we need every tool available to us.
How We Use AI
We use it to process data more strategically — to parse patterns across large datasets and power human-led analysis that builds dynamic models capable of informing real, tangible action. Tools the people can actually use to change the status quo. We see AI as a way to make our people sharper and more strategic, never as a replacement for human judgment, labor, or creativity.
We also keep AI firmly in its place. We put it in the hands of people who are already experts: our developers use it to code faster, and our trained analysts use it to dive deeper into pattern recognition. AI does not replace skill or substitute for expertise someone lacks; it lets people who worked hard to develop their human skills accomplish more, with greater precision and strategy.
Finally, we recognize both the strengths and weaknesses of AI. It is fast, but it is fallible. So, we use it without trusting it: every piece of information we work with passes through a rigorous, multi-stage validation process built directly into our methodology. We verify everything.
This is our commitment: to use these tools in service of the people — transparently, carefully, and always in human hands.