Prediction markets are not just for betting. They are becoming a valuable source of predictive data for enterprises, as shown by new partnerships with media giants like CNN and CNBC. This dual-purpose model, functioning as both a consumer product and a B2B data service, creates two distinct revenue streams.

New platforms frame betting on future events as sophisticated 'trading,' akin to stock markets. This rebranding as 'prediction markets' helps them bypass traditional gambling regulations and attract users who might otherwise shun betting, positioning it as an intellectual or financial activity rather than a game of chance.

Speculation is often maligned as mere gambling, but it is a critical component for price discovery, liquidity, and risk transfer in any healthy financial market. Without speculators, markets would be inefficient. Prediction markets are an explicit tool to harness this power for accurate forecasting.

Prediction markets like Polymarket operate in a regulatory gray area where traditional insider trading laws don't apply. This creates a loophole for employees to monetize confidential information (e.g., product release dates) through bets, effectively leaking corporate secrets and creating a new espionage risk for companies.

After years battling for legitimacy, Kalshi's decision to sue its regulator, the CFTC, over election markets was a high-stakes move. Winning this lawsuit not only ensured the company's survival but also served as the critical turning point that legitimized the entire prediction market industry in the US.

The true value of prediction markets lies beyond speculation. By requiring "skin in the game," they aggregate the wisdom of crowds into a reliable forecasting tool, creating a source of truth that is more accurate than traditional polling. The trading is the work that produces the information.

Many laws were written before technological shifts like the smartphone or AI. Companies like Uber and OpenAI found massive opportunities by operating in legal gray areas where old regulations no longer made sense and their service provided immense consumer value.

Prediction markets are accelerating their normalization by integrating directly into established ecosystems. Partnerships with Google, Robinhood, and the NYSE's owner embed gambling-like activities into everyday financial and informational tools, lowering barriers to entry and lending them legitimacy.

After years of exploring various use cases, crypto's clearest product-market fit is as a new version of the financial system. The success of stablecoins, prediction markets, and decentralized trading platforms demonstrates that financial applications are where crypto currently has the strongest, most undeniable traction.