Disclosure: The ideas and opinions expressed here are only for the author and do not represent the ideas and ideas of the editorial of Crypto.
Last week, I enjoyed representing decentralized AI on Capital Hill Digital chamberFor weeks, the news cycle has previously been truly full of optimism for the pro-crypto administration to assume the post of news cycle. My time in DC carried this hope forward.
There are large -scale implications for Crypto and for large technology sector. With a pro-crypto White House and an open-minded Congress, optimism said that the United States could become “Artificial Intelligence and Crypto’s world capital” as President Trump. Mortgage In Davos on World Economic Forum.
The next few months offer a precious window for crypto and AI industries. Crypto can easily become a top three industries with AI a chief driver, and AI agents and applications can create trillion-dollar economic opportunities in the US.
The most interesting education from the journey was to understand that many Congress industry are open to inputs on how to define major concepts in Crypto and Web 3 as an early point to regulate the crypto industry.
Clear law is destination
During my time at Capital last week, the exciting movements within the decentralized AI space, especially AI infrastructure and AI agents, were often discussed. AI token, with a cumulative market cap Above $ 48 billion, an open, accessible and AI-origin of the internet for the next decade is the future backbones.
President Trump’s $ 500 billion proposed infrastructure initiative, including high stakes and a twist point for industry, growth of capital going into AI.
Nevertheless, the US currently has an empty slate-or a stick with existing framework that includes only L1 and L2 network tokens and limit the ability of AI utility tokens-or regulators of these new use and assets. Hugs in compliance manner.
Currently, everyone is talking about executive orders. But it is important to remember that the legislative process takes time. A major discussion point during my time in DC was financial innovation and technology for the 21st century Act (Fit21) The bill, which aims to provide a clear market structure structure to assess whether a token is a safety or an object.
Essentially, this is to answer the following questions: what is security? What is an object? What is not a commodity or security? The most straightforward functioning to classify tokens should be based on activities.
For example, a layer 1 token that is designed to facilitate network activities must be classified as a utility tokens. As the FIT21 makes its way through legislative gaunts, utility is a narrow window to ensure new areas of tokens – such as decentralized AI and Dipin Token – are also considered and defined as utility tokens Is.
Beyond items and securities
With the expected implementation of the FIT21 bill, clarity is eventually around the corner – and some are expecting the rules applied by the end of this year. When MPs and the general public think of AI, they think of Big AI -Openai, Microsoft, Google, Anthropic and other huge companies that form centralized AIs.
Decentralized AI has the ability to offer resources that cannot perform traditional AI structures. Currently, resources are extremely Centralized The difficult and fair AI pose a threat to the future of AI Solopraners within Big II and by new entrances. Openi And Microsoft The AI model has been invested extensively in training servers, data centers and network infrastructure. These high costs squeeze solopreneurs and small teams, making it almost impossible to construct the AI system without breaking the bank.
The decentralized AI Infrastructure Fair AI provides access to the more affordable resources required for the future of entrepreneurs: data, calculation, open-source model, and hope that capital. By encouraging participants to share resources through decentralized networks, we can democratizing access.
Anyone worldwide with additional GPU space or bandwidth can contribute to AI network and pay by doing so, can reduce costs for those small teams and allow contributors to earn by their contribution, This again defines how AI is provided, funded, and made.
Return to the gold standard of innovation?
The future is here. Millions of builders soon launched AI agents and AI applications, launching their side hustles. They use an open-source model, power it with decentralized AI data and GPU, detecting a strong utility-based use case, launch a token for bootst liquidity and use and fees Let’s start earning income through medium.
For example, Deepsek, now famous, Allegedly Spend just $ 10 million, trusted the members of the team less than 200, and used minimal hardware to develop an LLM, which performs better than chat or cloud-it is a more cost-effective, open -Source AI model was bound to interrupt the market.
Fair AI entrepreneurs will also shape our society, create many job opportunities, and collectively create the next golden age for American entrepreneurship.
Then, in DC, there was a clear sense of optimism for our industry. Many legalists were eager to learn about AI and Crypto, and many new MPs have technical expertise and background that we have not seen in the first beltway. As an industry, we have a golden moment to educate the rest of the federal government.
If the US wants to be at the forefront of AI innovation and attracts the top AI talent, policy makers will have to provide a clear route for the construction and development of those projects.
