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Kalshi Secures $1 Billion As Prediction Markets Race Heats Up

A surge in capital puts Tarek Mansour’s platform in a tight contest to define event-based trading.

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kalshi secures $1 billion as prediction markets race heats up

Kalshi has raised $1 billion at an $11 billion valuation, a rapid step-up for the prediction-market operator founded by Lebanese entrepreneur Tarek Mansour. Paradigm led the round, joined by Sequoia Capital, Andreessen Horowitz, CapitalG and several returning investors. The deal lands barely weeks after a $300 million raise at half the valuation.

The cash gives Kalshi fresh weight in an industry moving from curiosity to infrastructure. The company’s profile grew during the 2024 US election cycle, yet most trading today comes from sports. A partnership with CNN is in the works. Kalshi is also building corporate hedging tools aimed at firms exposed to weather shocks or political stoppages — a pitch that pushes prediction markets toward more traditional risk desks.

kalshi prediction market investment

Competition is close. Polymarket is said to be raising at a valuation that could reach $15 billion, a sign that event-based trading is drawing mainstream capital rather than speculative fanfare. The shift is being watched in the Gulf, where demand for pricing tools linked to policy, climate and commodities has edged higher with broader economic reforms.

Mansour’s route into tech was anything but standard. Raised in Lebanon until age 17, he arrived in the US with little sense of Silicon Valley. “We had one shitty computer at home that barely worked,” he told Sourcery earlier this year. After studying engineering and maths at MIT, he worked in equity derivatives at Goldman Sachs and later traded macro at Citadel. At MIT he met co-founder Luana Lopes Lara, who shared a similar turn from academia into quantitative finance. “It was pretty inevitable we would try to build this together,” she told InGame.

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The pair launched Kalshi in 2018 and entered Y Combinator a year later. Early backing from YC, Sequoia, Charles Schwab and Henry Kravis helped turn a research interest into a regulated marketplace offering trades on outcomes across economics, entertainment, sports and weather.

With the new capital, Kalshi plans to scale its consumer markets, deepen ties with institutions and expand enterprise hedging products. The speed of its valuation rise shows how aggressively the sector is forming — and how little room there is for missteps as prediction platforms head toward the financial mainstream.

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Deezer Says AI Tracks Now Make Up 44% Of Uploads

The streamer says nearly 75,000 AI-made songs now hit its platform each day, even as those tracks account for just 1% to 3% of plays.

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deezer says ai tracks now make up 44% of uploads
Deezer

AI-generated music is becoming a real headache for music platforms, according to Deezer. The streaming service says it now receives nearly 75,000 AI-made tracks a day, equal to about 44% of all daily uploads to the platform.

The figure is up sharply from 10,000 daily AI uploads when Deezer launched its detection tool back in January 2025. The jump shows how quickly products such as Suno and Udio have made song creation cheap, fast, and easy to scale.

Despite the volume, Deezer says AI tracks still only account for 1% to 3% of total streams. The music gets few human listeners, but upload pressure is rising. The company says it is also seeing more “fraudulent” submissions.

Its response so far has been practical. Deezer has removed AI-generated songs from recommendation systems, demonetized them, and stopped storing high-resolution versions of those files.

The company also says it’s the only streaming platform currently tagging AI-generated tracks at scale, using that claim to position its moderation tools as a wider industry model.

“AI-generated music is now far from a marginal phenomenon and as daily deliveries keep increasing, we hope the whole music ecosystem will join us in taking action to help safeguard artist’s rights and promote transparency for fans,” CEO Alexis Lanternier said in a blog post.

Deezer has started licensing the detection technology to other companies, turning an internal control system into a commercial product. It says the tool can already identify music created with Suno and Udio, and can be extended to other generators if training data is available.

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The company is also working on detection methods that would not require training datasets, a harder technical step that could widen coverage as new music models appear.

Rivals are taking mixed approaches. Spotify has rolled out policies aimed at curbing AI music. Apple Music is asking artists and labels to disclose AI-made tracks. Qobuz has begun automated labeling, while Bandcamp has banned AI music outright.

For now, Deezer’s numbers suggest the real issue is not listener demand. It’s supply.

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