OpenAI has begun surfacing prediction-market odds from Kalshi directly inside ChatGPT search results for FIFA World Cup matchups, according to a report from The New York Times. The integration provides fans with an at-a-glance view of each team’s implied probability of winning, sourced from live market pricing—without turning the chat interface into a betting channel.

The partnership was not publicly announced at the time of the report. Kalshi declined to comment to Cointelegraph, and OpenAI did not respond to a request for comment.

Key takeaways

• ChatGPT search results now display Kalshi-derived odds for specific World Cup matches, presented as implied win probabilities for each team.
• OpenAI’s guidance cited by The New York Times indicates the feature is informational only and does not enable bets through ChatGPT.
• The World Cup deployment underscores the broader shift of prediction-market data from trading venues into mainstream consumer and media products.
• Dune Analytics data shows Kalshi scaled to more than $33 billion in monthly notional volume in June 2026, outpacing Polymarket by about $22 billion in the same period.

Odds graphics appear inside ChatGPT search

As described by The New York Times, when users search for World Cup fixtures in ChatGPT, the interface can show market-based odds as graphics. These visuals break down each team’s implied chance of winning, reflecting how prediction-market participants price outcomes.

In one example cited in the report, a ChatGPT search for France versus Spain showed France at a 59% probability of victory. Another query—England versus Argentina—displayed England at a 55% chance, with the probabilities attributed to Kalshi’s market pricing.

Importantly, the feature is framed as data display rather than a trading mechanism. OpenAI’s guidance, as referenced by the report, indicates users cannot place wagers through ChatGPT; the Kalshi feed is intended for informational purposes only.

Why prediction-market data is attractive to AI products

Prediction markets are built on the idea that crowds of participants, acting on available information, can collectively form price-based forecasts for real-world events. Translating those prices into implied probabilities gives users a compact summary of what the market currently thinks is more likely.

For consumer AI experiences, this is a notable shift: instead of relying solely on curated editorial forecasts or static historical analytics, the AI interface can present live, outcome-relevant probabilities that update as the underlying market changes. In practice, that matters for users who want a “current best guess” rather than a delayed consensus.

The World Cup is a particularly test-friendly environment for this approach. Matchups are clear, outcomes are well-defined, and the timing is within a single tournament window—attributes that make it easier for users to compare predictions with results as they unfold.

Kalshi’s scale and the “mainstreaming” trend

Kalshi is a regulated prediction market platform where traders can buy and sell contracts tied to real-world events, including sports, economics, and politics. While prediction markets have existed for years, their gradual integration into major technology and media ecosystems has accelerated recently.

Dune Analytics data cited in the report indicates Kalshi recorded more than $33 billion in monthly notional volume in June 2026, roughly $22 billion ahead of Polymarket. That kind of volume signal is often read by the market as evidence of liquidity and participation—factors that can influence how useful price-derived odds are for observers.

Calendar effects likely play a role as well. A World Cup naturally concentrates attention and trading activity, which can pull these odds into the mainstream at the exact moment sports audiences are most engaged.

From TV and finance portals to search interfaces

The ChatGPT feature follows a broader pattern: prediction-market data increasingly appears inside high-visibility platforms rather than remaining confined to trading dashboards.

Kalshi has already established partnerships with major media outlets. According to Kalshi’s announcements, it entered an arrangement with CNN and another with CNBC in December 2025 to integrate its market data into coverage.

Rival platforms have pursued similar distribution deals. Bloomberg reported that Polymarket partnered with Dow Jones in January 2026 to bring prediction market data to products including The Wall Street Journal, extending market-based odds into traditional finance publishing.

Tech search products are also getting involved. Google reportedly integrated prediction-market information from both Kalshi and Polymarket into Google Finance and Search products in November 2025, positioning those odds within everyday discovery flows rather than requiring users to visit a trading website first.

Against that backdrop, OpenAI’s use of Kalshi odds in ChatGPT looks less like a one-off novelty and more like part of a wider supply-chain for “market intelligence” becoming a feature—rather than a separate destination.

What to watch next

For readers, the key question is whether this remains a World Cup-specific display or expands into other event categories and geographies. If OpenAI continues to surface market-based forecasts beyond sports—and if more platforms treat those odds as an everyday reference point—the practical impact will be felt less in trading volumes alone and more in how quickly prediction-market consensus becomes embedded in routine decision-making.

A team of former Ethereum Foundation researchers focused on institutional privacy has launched EthSystems, a new for-profit company aimed at building confidentiality infrastructure for financial institutions using Ethereum.

The startup emerged from the Ethereum Foundation, which spent the past year developing privacy technologies for enterprise use cases while engaging with central banks, regulators, global banks and asset managers.

The spinout comes amid one of the biggest organizational shakeups in the Ethereum Foundation in years. Following months of criticism over leadership, strategy and the foundation’s role in supporting Ethereum’s increasingly institutional user base, several teams have recently been spun out into independent organizations.

Among them are EthLabs, a nonprofit focused on advancing Ethereum protocol research and scaling, and Ethereum Institutional, a separate nonprofit designed to coordinate institutional adoption and engagement with large financial firms. Together, the organizations represent an effort to distribute responsibilities previously housed within the foundation across more specialized entities.

EthSystems said it plans to commercialize work it began inside the foundation, including confidential stablecoin transfers, private bond issuance, cross-chain settlement systems and open-source protocol specifications.

Tokenized products already exist, though mainly for investing. The most popular category is tokenized money market funds, primarily backed by U.S. Treasuries. The largest, BlackRock’s USD Institutional Digital Liquidity Fund (BUIDL), debuted in March 2024.

This category now has more than $15 billion of assets under management (AUM), with the broader onchain real-world asset market (excluding stablecoins) surpassing $31 billion in value. Casting a wider net to include assets such as alternative investments and tokenized financial infrastructures, the global asset tokenization market is valued at roughly $2.1 trillion.

According to forecasts by Grand View Research, the sector is projected to hit $24.5 trillion by 2033, with some industry estimates suggesting tokenized markets could reach as much as $88 trillion by 2035.

The key advantage they offer is instant execution around the clock and fractional ownership, which allows traders to buy small portions at any time, with all stages of the transaction — including purchase, sale and final processing — completed immediately.

Faster, cheaper

That’s not the focal point for institutional investors, who are more interested in the properties of the tokenized assets than their ease of trading.

“Generally speaking, they are not asking for tokens,” Lai said. “They are asking for what tokens can do more compared to the existing wrappers they already have.”

Sam Altman’s OpenAI is bringing prediction market data to ChatGPT, giving World Cup fans a new way to track match predictions.

OpenAI has started displaying Kalshi’s prediction market odds for FIFA World Cup matches in ChatGPT search results, according to a report by The New York Times.

The integration had not been publicly announced at the time of publication. Kalshi declined to comment to Cointelegraph, while OpenAI did not immediately respond to a request for comment.

The move reportedly marks OpenAI’s first known partnership with a prediction market platform, highlighting the growing interest among technology companies in incorporating market-based forecasts into consumer products.

Market odds enter AI search experience

According to the report, ChatGPT displays Kalshi-based market odds when users search for World Cup matchups. The results appear as graphics showing each team’s implied chance of winning based on Kalshi’s prediction markets.

One example cited by the report involved a ChatGPT search for France versus Spain showing France with a 59% chance of victory, while a query about England versus Argentina displayed a 55% chance for England, with the Kalshi as the source for the forecast (see below).

Source: Cointelegraph via ChatGPT

The integration does not allow users to place bets through ChatGPT, according to OpenAI’s guidance cited by the report, with Kalshi data intended for informational purposes only.

Prediction markets move into mainstream platforms

Founded as a regulated prediction market platform, Kalshi allows users to trade contracts tied to real-world events, including economic indicators, politics and sports.

The platform has grown into one of the largest prediction market venues, with Dune Analytics data showing Kalshi recorded more than $33 billion in monthly notional volume in June 2026, about $22 billion ahead of Polymarket.

Related: Kalshi June trading volume tops $9B as World Cup fuels prediction markets

Source: Dune

Use of prediction market data has gained traction across major media and technology platforms, with Kalshi entering partnerships with CNN and CNBC in December 2025 to integrate its market data into their coverage. Rival Polymarket partnered with Dow Jones in January 2026 to bring its prediction market data to products including The Wall Street Journal.

Google also integrated prediction market data from Kalshi and Polymarket into Google Finance and Search products in November 2025.

Magazine: AI’s power crunch turns Bitcoin miners’ grid access into an asset

Stephen “Cap” Newnham, a prominent figure in the Solana community through the UK-based group Superteam UK, says he will run as an independent candidate in the Aug. 13 parliamentary by-election in Clacton. The move puts a blockchain-leaning platform into a race already defined by controversy surrounding Reform UK leader Nigel Farage’s finances and parliamentary disclosures.

Newnham announced on July 9 that he would stand independently and later laid out five campaign pledges. They include support for local entrepreneurs, education focused on digital and artificial intelligence skills, financial literacy initiatives, and—most notably—an onchain-style transparency agenda alongside a promise that pension holders should be able to choose where their retirement funds are held.

Key takeaways

• Solana community leader Stephen “Cap” Newnham will contest the Aug. 13 Clacton by-election as an independent, following his July 9 announcement.
• His platform includes “onchain political transparency” and publishing donations and meetings “in plain English and onchain,” though it does not outline pension-law changes.
• Newnham’s pension pledge focuses on existing options—such as SIPPs and small self-administered schemes—rather than proposing blockchain management of pension assets.
• The by-election is closely watched due to scrutiny of Farage’s decision to trigger a new vote after parliamentary standards concerns about alleged undeclared crypto-linked gifts.
• A national Ipsos poll showed 33% prefer satirical candidate Count Binface over 21% for Farage, but it did not measure views among Clacton residents specifically.

Newnham’s pledges: transparency and pension self-direction

In posts shared to X on Tuesday, Newnham described five campaign pledges for the Clacton contest. According to the same series of announcements, the independent candidate also said his campaign would publish donations and meetings in “plain English” and onchain.

One pledge—“You should own your pension”—argues that savers should have control over where retirement assets are held. The campaign’s framing points to existing UK pension structures, including self-invested personal pensions (SIPPs) and small self-administered schemes, which allow individuals to direct investments rather than leaving asset allocation entirely to a provider.

However, the campaign materials provided so far do not specify a role for blockchain technology in the day-to-day management of pension assets, nor do they propose any legislative changes to pension rules. A blockchain-based record system could potentially make published information harder to tamper with after the fact, but it would not automatically guarantee that every political donation or meeting has been fully disclosed in the first place.

Cointelegraph said it reached out to Newnham for additional detail on the proposals but had not received a response by publication.

From Solana ecosystem to UK election stage

Newnham’s candidacy is rooted in the Solana ecosystem through his work with Superteam UK. The linked Superteam UK description says the group was established to help retain technical talent in Britain by supporting founders and developers building on Solana, arguing that some entrepreneurs leave the country for better funding and startup opportunities abroad.

His LinkedIn profile, referenced in the article, states that he studied economics at the University of Edinburgh before joining the Solana ecosystem. It also notes that he leads Superteam UK and co-authored a report on blockchain and the future of work with Coinbase’s “Stand With Crypto” campaign and the DLT Science Foundation.

While the election entry brings crypto-adjacent themes into mainstream politics, the platform as described emphasizes public-facing transparency and financial education more than direct technical policy claims. Investors and users who follow blockchain projects may still view the pledges as an attempt to translate crypto concepts—particularly auditability and record-keeping—into political disclosure norms.

Farage’s scrutiny remains the race’s central storyline

Newnham’s candidacy lands in a by-election triggered after Farage resigned from Parliament on Wednesday and chose to contest the Clacton seat again. The renewed race is tied to a parliamentary standards investigation into whether Farage should have declared a £5 million personal gift, reported to have been made by crypto investor Christopher Harborne.

Farage has said he was not required to declare the gift because it was received before he entered Parliament. Still, the broader narrative includes additional allegations and scrutiny—according to earlier coverage referenced by Cointelegraph—over reported financial support from crypto entrepreneur George Cottrell and claims that financial relationships overlapped with Farage’s digital asset advocacy. Farage has denied wrongdoing and said he complied with parliamentary rules.

This matters beyond politics: when disclosures involving crypto-connected figures become part of public accountability debates, it can shape how regulators, lawmakers, and donors view compliance expectations around digital assets. For the crypto sector, the practical question is whether disclosure norms will be tightened, clarified, or interpreted differently in response to ongoing challenges to transparency.

Poll signals unusual voter attention, but local preferences remain unknown

The contest has attracted an eclectic mix. At the time of writing, Democracy Club lists 11 prospective candidates for the Clacton by-election, including Newnham, Farage, and the satirical candidate Count Binface. The council is not expected to confirm the official field until July 17.

A Friday Ipsos survey of 1,000 British adults found that 33% would prefer Count Binface to win, compared with 21% for Farage. The same survey also suggests that the by-election’s attention extends beyond typical party competition. But the poll did not measure voting intentions specifically among Clacton residents.

For analysts and campaign teams, that distinction is crucial. National sentiment can be influenced by awareness, media coverage, and novelty—especially in a contest where satire and controversy coexist—without necessarily predicting turnout or preferences in the constituency itself.

Democracy Club’s candidate listing is available here: https://candidates.democracyclub.org.uk/elections/parl.clacton.by.2026-08-13/. Ipsos’ findings were reported here: https://www.ipsos.com/en-uk/british-public-more-likely-prefer-count-binface-wins-clacton-election-nigel-farage.

With the candidate list still pending confirmation and scrutiny around Farage’s disclosures continuing to frame the narrative, the next key developments to watch are whether Newnham provides further specifics on how his onchain transparency pledge would work in practice, and how voters in Clacton respond once the official field is finalized and local campaigning intensifies.

Companies including Hut 8, Core Scientific (CORZ), Hive Digital (HIVE) and Bit Digital (BTBT) have repositioned portions of their power and infrastructure assets to serve AI workloads, betting that long-term contracts with hyperscale customers will generate steadier, higher-margin revenue than cryptocurrency mining alone.

Hut 8 has signed two 15-year, triple-net, take-or-pay leases covering 597 megawatts of IT capacity at its River Bend, Louisiana, and Beacon Point, Texas, campuses. According to Palmer, the agreements represent $16.8 billion in contracted base-term lease value and could rise to $42.8 billion if tenants exercise renewal options.

Palmer said the Beacon Point agreement was the primary driver behind the higher valuation. The broker estimated that the project’s first phase alone carries $9.8 billion in base-term contract value and about $655 million in average annual net operating income.

He also pointed to Hut 8’s financing strategy, noting the company recently completed $4.25 billion of investment-grade project financing for Beacon Point after raising $3.25 billion for River Bend. The deals validate management’s strategy of lowering its cost of capital by converting development assets into long-term contracted cash flows.

Beyond its existing projects, the report highlighted Hut 8’s development pipeline, which totals more than 9 gigawatts across projects under exclusivity, development, construction and management, providing what it called a long runway for future growth.