Markets as Computers: How Prediction Markets Solve the 'Knowledge Problem' (2025)

Imagine a world where markets aren’t just places to trade goods or services, but fully integrated digital systems—essentially, computers. Sounds like science fiction? It’s closer to reality than you might think. But here’s where it gets controversial: What happens when the very fabric of markets is transformed by technology? Will it democratize access to information, or will it create new power imbalances? Let’s dive in.


Editor’s note: This article originally appeared in our newsletter [https://a16zcrypto.substack.com/]. For more insights on trends, builder guides, industry reports, and resources from a16z crypto, subscribe here or below [https://a16zcrypto.substack.com/].

In this edition, we explore:

  • Markets as Information Systems: How prediction markets tackle the age-old ‘knowledge problem’—a challenge that even the most advanced computers can’t solve alone.
  • The Art of Governance: Why token governance isn’t just a buzzword, but a powerful tool for aligning incentives and fostering community-driven decision-making.
  • AI Meets Crypto: a16z cofounder Ben Horowitz reveals how blockchain technology could be the key to solving AI’s most pressing ethical and operational challenges.
  • Creativity in a Busy World: Practical tips for balancing innovation with productivity.
  • State-Level Crypto Innovation: Five actionable steps states can take to foster responsible crypto legislation.
  • News and Updates: From institutional adoption of prediction markets to the rise of tokenized deposits, here’s what’s shaping the future of crypto.

TOP OF MIND

Chris Dixon

Long before the internet became a global phenomenon, economist Friedrich Hayek highlighted a fundamental truth: Information is everywhere, but no single person can access it all. This ‘knowledge problem’ isn’t about computing power—it’s about coordination. Hayek argued that decentralized systems, like markets, are the solution. Why? Because markets don’t just allocate resources; they act as information systems, turning local knowledge into actionable signals through prices, incentives, and feedback loops.

And this is the part most people miss: Prediction markets take this concept to the next level. By converting collective knowledge into probabilities, they offer a transparent, trustless way to forecast outcomes. At a time when faith in traditional institutions is waning, these systems provide a new kind of credibility—one built on openness and mathematical certainty.

From DeFi to stablecoins, crypto is reimagining finance. But prediction markets? They’re reimagining forecasting itself. Businesses, policymakers, and individuals can use these tools to hedge risks, access real-time insights, and prepare for an uncertain future. Curious? Learn more about our investment in Kalshi [https://a16zcrypto.com/posts/article/investing-in-kalshi/] or dive into our explainer on prediction markets [https://a16zcrypto.com/posts/podcast/prediction-markets-explained/].


GOOD GOVERNANCE

Andrew Hall

When should tokenholders have a say in a project’s governance? It’s a question that divides builders. Here’s the bold truth: Not every project needs token voting. The key is designing governance that aligns with a protocol’s complexity, decision-making needs, and community dynamics. Token governance isn’t one-size-fits-all—it’s about finding the right balance. Want to dig deeper? Check out our guide [https://a16zcrypto.com/posts/article/tokens-governance-rights/].


AI X CRYPTO

AI is transforming industries, but it also brings challenges—from identity verification to data provenance. Enter crypto. a16z cofounder Ben Horowitz explains how blockchain technology can address these issues, creating a more secure and transparent AI ecosystem. Watch the full interview [https://www.youtube.com/watch?v=JFUSTctUxGM] or explore our favorite AI x crypto use cases [https://a16zcrypto.com/posts/article/ai-crypto-crossovers/].


SHIFTING GEARS

POLICY ACTIONS

Federal crypto legislation is moving fast, but states have a crucial role to play in fostering innovation. Here are five proactive steps states can take:

  1. Adopt the DUNA: Allow blockchain networks to remain decentralized while ensuring compliance.
  2. Clarify Token Classification: Prevent misclassification of tokens under existing laws [https://a16zcrypto.com/posts/article/defining-tokens/].
  3. Launch a Blockchain Task Force: Evaluate and experiment with blockchain technology.
  4. Pilot Public-Sector Use Cases: Scale blockchain solutions for government operations.
  5. Leverage Stablecoins: Streamline procurement and disbursement processes.

For a detailed playbook, read more here [https://a16zcrypto.com/posts/article/state-crypto-policy-playbook/].


NEWS AND UPDATES

Staking Goes Mainstream: New York has finally joined the staking revolution, bringing the total to 46 states. But why did it take so long? Regulators’ concerns have historically slowed adoption. Coinbase’s recent announcement marks a turning point, though residents in California, New Jersey, Maryland, and Wisconsin are still left out. [https://www.coinbase.com/blog/staking-is-now-available-in-new-york]

Prediction Markets Go Institutional: ICE, the parent company of the New York Stock Exchange, has invested in Polymarket, signaling a major shift. Will this legitimize prediction markets, or will it dilute their decentralized nature? Only time will tell.

S&P Launches Crypto Index: The S&P Digital Markets 50 Index combines cryptocurrencies and crypto-linked equities, offering traditional investors a gateway into the digital asset space. Is this the beginning of crypto’s integration into mainstream finance? [https://press.spglobal.com/2025-10-07-S-P-Global-to-Launch-Innovative-Crypto-Ecosystem-Index,-a-New-Way-to-Combine-Cryptocurrencies-and-Crypto-Linked-Equities]

Tokenized Deposits on the Horizon: BNY Mellon, the world’s largest custodial bank, is testing tokenized deposits to modernize infrastructure. Could this be the future of banking, or will legacy systems resist change? [https://www.bny.com/corporate/global/en/about-us/newsroom/company-news/bny-and-goldman-sachs-launch-tokenized-money-market-funds-solution.html]


Food for Thought: As markets become more like computers, who stands to gain—and who might be left behind? Will decentralization truly solve the knowledge problem, or will it create new challenges? Share your thoughts in the comments below.

— a16z crypto editorial team

You’re receiving this newsletter because you signed up on our websites, at an event, or elsewhere. Unsubscribe anytime using the link below. This content is for informational purposes only and should not be considered legal, business, investment, or tax advice. Links to third-party sources are provided for reference and have not been independently verified. For additional disclosures, visit [a16z.com/disclosures].

Markets as Computers: How Prediction Markets Solve the 'Knowledge Problem' (2025)

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