Kalshi CEO warns: State-level regulation could drive out US prediction markets
Analyzing the latest developments in the world of technology and finance, it becomes apparent that prediction markets, autonomous AI agents and asset tokenization are merging into a single, connected ecosystem. While pioneering platforms like Kalshi are fighting for a unified regulatory framework that will allow free assessment of the probability of future events, in parallel we are witnessing AI models taking on the role of active economic actors executing millions of crypto transactions without human intervention.
In such an environment, the traditional definition of corporate ownership and money management is undergoing a fundamental transformation. The example of the EasyA platform, which with an evaluation of over one billion dollars is preparing to go public through tokenized shares, proves that the border between digital tokens and legal securities is rapidly disappearing. At the same time, the return of institutional investors to gold and bitcoin as fundamental reserves of liquidity indicates the need for a safe support while the financial architecture is being fundamentally rewritten.
This period marks the beginning of the era of programmable finance. Imagine a system where autonomous AI agents use predictive markets to assess risk, automatically reallocate a portfolio between bitcoin and gold, and reinvest capital into tokenized shares of profitable tech companies within a split second. The technological building blocks for this vision are being put in place, and the dynamics of adoption show that the winners of the new economy will be those who recognize the power of synergy between artificial intelligence and decentralized networks.
Key words: Financial technology, convergence of AI and Web3, programmable finance, pam
This article does not constitute investment advice. The content provided here is solely for informational purposes and reflects the results generated by TradeitKN's AI analysis system. Before making any financial decisions, you should conduct your own research or consult with a licensed financial advisor.

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