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Forbes
27-06-2025
- Business
- Forbes
Future Of Companies In Web3 And Decentralized World
Ashish Chopra is CIO at TDECU. AI Meets DAOs: How Artificial Intelligence Will Supercharge the Future of Decentralized Organizations Imagine a global organization that runs without a CEO, raises money without banks and makes decisions based on thousands of token-holder votes—all executed automatically by code with a human at the center of it. Now imagine it has an AI co-pilot that analyzes proposals, prevents fraud, ensures regulatory compliance, allocates capital intelligently and evolves on its own. That's the future we're heading toward: DAOs (decentralized autonomous organizations), supercharged by artificial intelligence (AI). As someone who's worked inside agentic AI-native banking and is a blockchain contributor, advisor and builder, I've seen the raw power and glaring limitations of decentralized governance. DAOs represent a radical departure from hierarchical corporations. But they're still missing something critical: intelligence. The kind that helps make sense of complexity, mitigates risk and scales trust. That's where AI comes in. The Promise Of DAOs And Their Growing Pains DAOs are blockchain-native entities that rely on smart contracts and token-holder voting to operate. From venture capital to public goods funding, they've reimagined what it means to build, govern and invest collectively. Today, DAOs manage over $16.9 billion in assets, with more than 50,000 active organizations and millions of participants worldwide. And yet, many DAOs suffer from decision fatigue, coordination chaos and shallow voter participation. Governance forums are flooded with jargon-heavy proposals. Treasury allocations often lack due diligence. Scams still find loopholes. Despite these hurdles, the mission remains powerful: DAOs enable permissionless, global collaboration. But to fulfill their potential, they need better tools for judgment, foresight and automation. That's exactly what AI can deliver. Where AI Supercharges DAOs DAOs face a deluge of governance proposals, many poorly written or redundant. AI can act as a filtering and summarization engine—ranking proposals based on community values, precedent and potential impact. Large language models (LLMs) can draft proposal summaries, identify regulatory red flags and even suggest improvements in real time. Think of AI as the first layer of 'governance quality control,' improving both efficiency and clarity before proposals even reach voters. Many DAOs hold multimillion-dollar treasuries, but few have the financial modeling sophistication of traditional asset managers. AI can analyze portfolio risk, optimize token allocations, simulate cash flow under different scenarios and flag anomalies in treasury activity. In essence, AI can give DAOs the equivalent of a 24/7 CFO—only one that's unbiased, always on and continuously learning. DAOs struggle with member engagement. AI-driven onboarding bots can tailor educational journeys for new contributors, match talent to open roles and track member contributions across platforms. Reputation scores—long discussed in DAO circles—can be managed more fairly and dynamically using AI. By embedding intelligence into participation, DAOs can turn passive token holders into active citizens. Security remains a top concern. AI-powered auditing tools can scan smart contracts for vulnerabilities before deployment, flag suspicious wallet activity and monitor governance outcomes for signs of collusion or sybil attacks. As DAOs become stewards of real assets (land, capital, IP), this layer of defense will be essential. Looking ahead, AI won't just assist DAOs—it could participate in them. Autonomous AI agents could propose initiatives, vote based on programmed values or sentiment analysis or even represent stakeholders who choose to delegate their governance rights. Imagine an investment DAO where an AI agent proposes promising early-stage projects, defends its case with data and helps optimize exit timing. This isn't science fiction—it's already being prototyped. Why This Matters For Capital Markets The convergence of AI and DAOs will reshape how capital is raised, allocated and governed. DAOs already challenge the norms of venture funding, IPOs and corporate ownership. Adding AI to the mix takes it a step further: from decentralized to intelligent capital formation: This is especially powerful in underserved markets where traditional funding is scarce. A DAO, equipped with AI, can become a globally accessible VC fund, grant program or public goods allocator—with less bias, more reach and greater transparency. Legal Infrastructure Still Needs To Catch Up Even as technology races ahead, regulation is still lagging. U.S. states like Wyoming, Tennessee and Utah have introduced legal frameworks for DAOs, but they don't yet address the AI layer. Who is responsible for decisions made by an autonomous AI agent? What rights does a synthetic governance participant have? These questions may seem esoteric today, but they'll be center stage tomorrow. We'll need new governance frameworks—not just for DAOs but for AI-augmented organizations where lines between human and machine blur. Final Thoughts The synergy between AI and DAOs is not just a tech upgrade—it's a transformation. We're moving from decentralized coordination to intelligent, adaptive systems that can manage capital, make decisions and evolve continuously. Yes, there are risks: AI bias, over-automation and governance theater. But there's also enormous promise. In a world that increasingly demands transparency, inclusivity and speed, AI-powered DAOs might just be the operating system we've been waiting for. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Bloomberg
16-06-2025
- Business
- Bloomberg
There's a Tron Treasury Company
Among other things, crypto developed an alternative way to take companies public, or at least to take quasi-companies quasi-public. Traditionally, if you had a business idea, you would form a company to do that business. The company would receive the future profits of doing the business, and to raise money you would sell shares of the company, that is, rights to a portion of those future profits. Those shares are securities, and US law regulates how you can sell them: If you want to sell them to the general public in the US, you have to register them with the US Securities and Exchange Commission and provide financial and other disclosures. Crypto found a new approach. I mean, sort of; arguably it found new labels for the old approach. If you had a crypto business idea — 'I am going to start a platform to store value and do transactions and program smart contracts and trade derivatives' is the main crypto business idea — then you could form a decentralized crypto ecosystem to do that business. Instead of future profits accruing to a company, the future economic value of that business would accrue to the users of the ecosystem. Tokens of the ecosystem would be required to use the ecosystem, would represent a sort of quasi-ownership stake in the ecosystem, and would grow in value as the economic value of the ecosystem grew. And to raise money to start the business, you would sell some tokens.
Coin Geek
08-05-2025
- Business
- Coin Geek
Global tokenized real estate eyes $4T valuation: Deloitte
Getting your Trinity Audio player ready... A new Deloitte report has tipped the global tokenized real estate market to reach a valuation of $4 trillion by 2035, driven by a raft of factors. According to the report, the sector is working toward mainstream acceptance from its previous designation as a niche vertical. From its present levels of under $300 billion, the Deloitte report is forecasting a compound annual growth rate (CAGR) of 27% that will result in a $4 trillion market capitalization. The projected several factors, including the upsides for the broader real estate sector, will power industry growth. Deloitte's analysts say the tokenized real estate market will receive new players triggered by operational efficiencies, fast settlement times, and the possibilities for blockchain-based financing options. 'Real estate asset tokenization can allow institutional investors to create custom portfolios with tokens that match their investment thesis,' read the report. Furthermore, Deloitte is pointing to the broader perks of tokenization, noting it offers real estate players automation functionalities. Blockchain's transparency and immutability, in addition to the broad functionalities of smart contracts, will trigger increased adoption levels for tokenized real estate. By classification, Deloitte predicts tokenized debt securities to be the biggest growth vertical with a total valuation of $2.39 billion in 2035. On the other hand, private real estate funds will hold a market capitalization of nearly $1 trillion in the same time frame, while the underdeveloped land segment will reach $501 billion in 2035. 'Tokenization can allow for capital generation across the capital stack including debt, equity, and hybrid funding on a single platform,' read the report. The report highlights two plausible ways for real estate to be tokenized on blockchains. The first involves tokenizing an existing fund or tapping a DeFi lending protocol to issue debt tokens on loans. The second involves issuing funds on-chain via real estate trust deeds, an option recording growing adoption rates. A surge in real estate tokenization adoption metrics Alongside the broader acceptance of tokenization, real estate tokenization has recently seen impressive adoption. In Nigeria, the Lagos State government is turning to real estate tokenization to boost revenue while opening the market for retail investors to own a stake in properties via fractional ownership. Japanese firms have previously explored real estate tokenization use cases, following Israel's lead in the ecosystem. However, pioneers are wary of the regulatory uncertainty and custody risks associated with the blockchain-based offering. Citigroup taps stablecoin market capitalization to reach $3.7 trillion Meanwhile, a new Citigroup report predicts that the global stablecoin market capitalization will hit highs of $3.7 trillion by the end of the decade. Analysts at Citi (NASDAQ: C) are projecting a CAGR of 119% per year for the global stablecoin market capitalization. Currently, the industry's valuation is around $230 billion, led by industry behemoths like Tether's USDT and Circle's USDC. The projected $3.7 trillion valuation is Citigroup's bull case scenario, with analysts providing two more conservative estimates. According to Citigroup base case scenario will see stablecoins rise to reach a valuation of $1.6 trillion in 2030, racking up a double-digit CAGR. Despite two projections above the trillion-dollar mark, Citigroup says the worst case for stablecoin supply by 2030 will be a market capitalization of around $500 billion. The report notes that U.S. dollar-denominated stablecoins will be the industry leader in 2025 with 90% of the market share, while non-U.S. dollar stablecoins will jostle for a 10% share. Several reasons are in play for the USD's projected stablecoin dominance, including its first mover advantage and incoming regulatory clarity. The U.S. is exploring stablecoin regulation in the coming months, which Citigroup says will trigger a demand for new players. As new stablecoin issuers wade into the space in the U.S., the report predicts that issuers will be the biggest holders of U.S. treasuries by the end of the decade. However, the push toward a triple-digit CAGR for stablecoins will not be easy for the industry. Citigroup name-checks the challenges of unclear regulation, low adoption levels in advanced economies, and a raft of integration issues. Analysts at Citigroup are hopeful that the capabilities of speed and round-the-clock availability will trigger adoption numbers. Other macroeconomic applications for financial inclusion and hedging against inflation are tipped to move the needle for stablecoin application. A ChatGPT moment for blockchain technology Citigroup's report goes on to tap blockchain to have a ChatGPT year in 2025. The report predicts blockchain adoption to record adoption levels akin to the number reached by the generative artificial intelligence (AI) chatbot in late 2022. Blockchain is already recording high adoption levels with governments hinging their national digitization drives on Web3 technologies. China, Vietnam, and Belgium are exploring blockchain-based solutions to improve their digital economies, keeping pace with North America and the rest of Europe. Watch: Blockchain & AI unlock possibilities title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen>
