<\/p>\n
The information economy has found its version of a casino with prediction markets.<\/p>\n
In today\u2019s era of uncertainty, geopolitical instability, rapid technological change and other destabilizing macro forces, the ability to aggregate and price collective belief is being positioned as one of providing tangible value in the real-world by purpose-built platforms like Polymarket<\/a> and Kalshi<\/a>, as well as by traditional iGaming, sports betting and even retail investing and crypto platforms like Robinhood<\/a>, DraftKings<\/a>, Coinbase<\/a>, Kraken<\/a> and more.<\/p>\n Even global financial institutions are eyeing the market<\/a>, with Goldman Sachs<\/a> Chairman and CEO\u00a0David Solomon<\/a> noting last week (Jan. 15) that the bank\u00a0is\u00a0looking into how it might get involved\u00a0in prediction markets.<\/p>\n At its core, the argument underpinning the scalability of prediction markets is a bet on information as an economic primitive. Of course, information is not always evenly distributed, and PYMNTS covered<\/a> Wednesday (Jan. 21) how efforts to uncover insider trading within prediction markets is reportedly gaining steam.<\/p>\n Still, prediction markets can fail in unpredictable ways, particularly with the growth of the number of questions exploding faster than the system\u2019s ability to resolve them. Straightforward markets can be settled automatically, but edge cases like ambiguous outcomes, contested facts, or politically sensitive events can require judgment.<\/p>\n The result is a ceiling on complexity. Markets work best when the answer is obvious and uncontested. But those questions involving interpretation, causality or partial outcomes are becoming the hardest issues to resolve.<\/p>\n Advertisement: Scroll to Continue<\/p>\n<\/div>\n The tech and venture capital space, however, has shown signs of believing that its two favorite innovations, blockchain and artificial intelligence (AI), have an answer to this dilemma.<\/p>\n See also:<\/strong> Prediction Market Boom Blurs Line Between Trading and Gambling<\/a><\/p>\n In a 2026 prediction post<\/a>, the VC firm a16z<\/a> posited that the year ahead could see crypto evolving beyond blockchains as a financial substrate and into a general-purpose toolkit for coordination, verification and incentive alignment across industries. Prediction markets, per the post, may be one of the clearest beneficiaries of that shift.<\/p>\n The argument is that verifiable computation, decentralized resolution mechanisms and on-chain commitments can address the structural bottlenecks that have historically kept prediction markets small. If successful, these systems could push prediction markets beyond betting and toward a broader role in how information is validated, challenged and trusted.<\/p>\n Underlying this approach is a relatively consequential technical shift: the maturation of cryptographic proofs that make computation itself verifiable. For years, technologies like SNARKs (Succinct Non-Interactive Argument of Knowledge) and zero-knowledge (zk) proofs were largely confined to blockchain validation, where high overhead could be justified by network security. That constraint is now loosening, and could shift debates around information from \u201cWho do we trust?\u201d to \u201cWhat do we verify?\u201d<\/p>\n Among the most ambitious extensions of this logic is what a16z calls \u201cstaked media.\u201d The idea is that public claims such as journalism, analysis, forecasts and more can be paired with on-chain commitments that put economic weight behind credibility.<\/p>\n Other applications of technology also include the potential use of AI systems as judges <\/a>for prediction markets. Rather than serving merely as data sources or trading agents, large language models could be embedded directly into market resolution, evaluating evidence, interpreting criteria and issuing judgments on disputed outcomes.<\/p>\n The appeal is straightforward. AI systems can process vast amounts of text, data and context far more quickly than human moderators. They can be applied uniformly across thousands of markets, reducing bottlenecks and operational overhead.<\/p>\n The obvious objection is trust. AI systems can be probabilistic, opaque and prone to error.<\/p>\n See also:<\/strong>\u00a0Prediction Markets Eye US Growth While Watching Out for Crypto Whales<\/a>\u00a0<\/strong><\/p>\n The proposed scalability engines of blockchain and AI are being presented against a backdrop where regulatory and cultural challenges continue to face prediction markets.<\/p>\n Though many event-based contract platforms are regulated as federally licensed exchanges designated by the\u00a0Commodity Futures Trading Commission<\/a>\u00a0(CFTC), as they grow in popularity and potentially impede on other gaming services, their oversight is becoming a flash point<\/a> between federal and state regulators.<\/p>\n News broke<\/a> Tuesday (Jan. 20), for example, that Kalshi\u00a0is facing a preliminary injunction that may block it from including sports and related event contracts on its prediction market in Massachusetts. A hearing scheduled for Friday (Jan. 23) will determine how the ban will be implemented and whether it will be paused if the company appeals the injunction.<\/p>\n Still, despite regulatory tremors, the events contract market is enjoying a relative period of growth and attention. Robinhood Chairman and CEO\u00a0Vlad Tenev<\/a>\u00a0said\u00a0in November that since launching\u00a0prediction markets<\/a>\u00a0on its platform in 2024, the company had doubled its\u00a0volume of contracts\u00a0each quarter, reaching north of 2 billion.<\/p>\n Coinbase<\/a>\u00a0expanded its\u00a0prediction markets<\/a>\u00a0business in December by acquiring\u00a0The Clearing Company<\/a>; and during the same month,\u00a0DraftKings<\/a>\u00a0entered\u00a0prediction markets<\/a>\u00a0with the launch of\u00a0DraftKings Predictions<\/a>, a standalone app and web product that it said would offer event contracts across 38 states.<\/p>\n That outcome of prediction markets in the U.S. is far from guaranteed, but the wager being placed is increasingly on the idea that, in an uncertain world, better tools for pricing belief can prove their value.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":" The information economy has found its version of a casino with prediction markets. In today\u2019s era of uncertainty, geopolitical instability, rapid technological change and other destabilizing macro forces, the ability to aggregate and price collective belief is being positioned as one of providing tangible value in the real-world by purpose-built platforms like Polymarket and Kalshi, […]<\/p>\n","protected":false},"author":2,"featured_media":417730,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[188,183,185,186,187,184,189,150,182,190],"class_list":["post-417709","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-blockchain-tech","tag-blockchain-technology","tag-crypto-technology","tag-cryptocurrency-technology","tag-metaverse-technology","tag-nft-technology","tag-soul-bound-token","tag-tech","tag-technology","tag-token-technology"],"_links":{"self":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts\/417709","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/comments?post=417709"}],"version-history":[{"count":1,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts\/417709\/revisions"}],"predecessor-version":[{"id":417731,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts\/417709\/revisions\/417731"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/media\/417730"}],"wp:attachment":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/media?parent=417709"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/categories?post=417709"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/tags?post=417709"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Decentralized Resolution as an Economic Process<\/strong><\/h2>\n
Can Prediction Markets\u2019 Regulatory Elephant Defy Gravity?<\/strong><\/h2>\n