A decade ago, Bitcoin felt like the Internet in the early ’90s – no, experimental, and easy to remove. Right now? It is at the front and center of Capitol Hill.
Beginning as a decentralized outliers with many labeled Finge slowly became a pillar of the American economy that many considered in the future. People can now invest in Bitcoin through their 401 (K) S, IRA, and broker accounts. This year, the US created a Strategic Bitcoin Reserve. Roundtables and summits are hosted in the White House, and pro-bitcoin positions show campaign platforms.
That shift was accidental. Bitcoin has gained momentum because of its basic values - open access, transparency, and distributed control – offers an alternative when public confidence in traditional finances explodes.
A similar pattern is to present today with artificial intelligence.
AI has a problem with trust
AI is emerging, but so are the questions about who controls it. If you are wondering where your data will go when you use a chatbot, which benefits from it, and why you need to give up your privacy at first, you are not alone.
According to a new Harris Poll assigned by DCG74% of US respondents believe that AI will benefit many people if it is not controlled by some large companies and 65% do not trust elected officials to guide the development of AI. The public likes the potential of AI; They just don’t trust the players in charge.
That confidence gap was not new, and Bitcoin faced it with decentralization: when trust in institutions removes, the answer is not more gatekeeper-the building systems that do not require them. Decentralized technologies rebuild trust by removing human mediators, often susceptible to bias, mistakes, or self-interest, and removing single points of control. By replacing flawed gatekeepers with transparent, distributed systems, decentralization offers a more reliable and responsible foundation for trust and confidence, rooted in transparency, elastic, and management with the user.
This change-from human control to technological decentralized systems-makes confidence possible again.
Decentralized AI: The Internet of Intelligence
Unlike large tech models regulated by centralized entities, the decentralized AI (Deai) is built, trained, and operated on a shared network, preventing any single party from controlling the system. The decentralized AI (Deai) filed a script in traditional AI by putting power in the hands of users, not corporations. Networks like Bittensor (see Note below) are leading the way by enabling tomorrow, without permission to access the AI infrastructure where anyone can contribute, computing power, or data. This approach is a level of play field for students, startups, and independent developers who are otherwise can be shutd out of today’s centralized AI Giants.
Instead of gatekeepers, bittenor coordinates are clearly contributed to a global network, using blockchain to redeem trust and reward the real value. The result is AI that is more open, resilient, and fair, where incentives are based on merit, not monopoly.
Voters preceded lawmakers in decentralized AI
While Americans are in the earlier stages of studying AI technologies, they can now intuitively expect the benefits of decentralized AI.
Harris poll of 2,000 adults in the US was found:
- 75% tells decentralized AI that better support the change
- 71% say it’s safer for personal data
Three of the four respondents said the decentralized AI was pushing for more changes than the AI closed, and 71% believed it was offering stronger protection for personal data. The missing for consumers who use AI is transparency and control, and they want to know that they are not just training the engine of someone else’s income.
The policy cannot ignore infrastructure and mutual -owner
Although with strong public support, the promise of decentralized AI depends on whether policy manufacturers understand a simple fact: the structure of a system refers to its behavior and outcome. How, communicating regulation around AI is still getting, and in many cases, it seems like an important point is missing. We see major debates around safety and existing risk, but there is almost no airtime for how the confident structure of these systems affects. A centralized model governed by some powerful players is naturally weak, fuzzy, and exclusively and eventually eliminates trust. To encourage trust, technological adoption and change, policy manufacturers must:
- Incentive to change in open ecosystems
- Make sure people benefit from their data
- Avoid echoing great dominance in tech by regulation
Both gatekeepers that shape AI today should not control the future, especially the public calling for real successors. The current administration has created a refreshing pragmatic approach to the AI, which prioritizes American change and competition in heavy regulations and we hope that Congress will do so. Emphasizes the change in the private sector and decentralized development puts the basis for a more open and resilient future AI.
It’s not fringe. This is the future
Decentralized AI is a solution that looks forward to one of the most urgent challenges of our time: how to ensure that the public serves AI, not just the powerful. As bitcoin moves from margins to mainstream, decentralized AI has quickly become the foundation for a more open, safe, and competitive AI ecosystem.
The public gets it. Now policy manufacturers should meet. The choice is clear: protect open networks, reward true builders, and defend the freedom to change – or give the future intelligence to some corporate gatekeepers.
Decentralized AI is not fringe. This is the foundation for a more independent, fair digital future. Let’s not miss the moment.
Note: DCG owns $ person, the native token of the Bittensor Network, and may have an interest in projects developed or supported by bittenor and other Deai ecosystems.
