AI Adoption Contracts Offer a New Way to Engage with Prediction Markets

Crypto.com and PYMNTS Intelligence are launching a fresh take on prediction markets with AI Adoption Contracts, due to go live in September 2026. The partnership combines regulated market infrastructure with proprietary AI measurement data, giving traders a structured way to bet on how artificial intelligence adoption unfolds across the global economy.

What traders will get

The contracts will launch with 20 offerings, expanding to 25 more each quarter. They'll track three distinct metrics: consumer behaviour patterns, enterprise AI deployment rates, and what companies disclose about AI use in SEC filings and earnings calls. PYMNTS Intelligence has built this measurement framework on over two years of adoption data, continuously refreshed to reflect real market conditions.

Trading happens on OG Prediction Markets, Crypto.com's regulated exchange platform. Before launch, both companies will publish their complete methodology, contract specifications, and settlement calendar so traders know exactly what they're backing.

Why it matters for the industry

This is genuinely interesting. Rather than asking traders to guess, they're asking them to stake views on measurable economic shifts. That distinction matters, frankly. Investors, policymakers, and business strategists get independent, data-driven intelligence on where AI is actually embedding itself in the economy. Traders get transparency and clear rules.

The timing works too. AI adoption is reshaping how businesses operate and how consumers interact with technology. A mechanism that lets market participants price that shift in real time adds genuine value beyond the trading itself.

Kris Marszalek, Crypto.com's co-founder and CEO, framed this as creating "a transparent way to understand one of the most important economic transformations of our time." It's a fair characterisation. Prediction markets work best when they measure something meaningful and verifiable. This setup ticks both boxes.

The practical angle

For traders, the appeal is straightforward: you get regulated infrastructure, published methodology, and contracts backed by serious measurement work rather than opinion polling. For businesses and investors watching AI's economic impact, you get a market-based signal of where adoption is accelerating or stalling.

It's the kind of innovation that makes sense for prediction markets. Take something traders want to understand anyway and give them a clean mechanism to express it.