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Meta Halts AI Hiring Following Recruitment Push | PYMNTS.com

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Meta has reportedly paused hiring for artificial intelligence (AI) professionals following a massive recruitment drive.

The freeze went into effect last week and is happening amid a wider restructuring of the AI division, the Wall Street Journal (WSJ) reported late Wednesday (Aug. 20), citing sources familiar with the matter. The length of the freeze was not clear, the report added.

The news comes at the tail end of a summer that began with reports that Meta CEO Mark Zuckerberg had personally gotten involved in the company’s AI hiring efforts, offering – in some cases – nine-figure compensation packages

According to the WSJ, a spokesperson for Meta confirmed the pause in hiring, calling it “basic organizational planning: creating a solid structure for our new superintelligence efforts after bringing people on board and undertaking yearly budgeting and planning exercises.”

This week also saw reports that Meta was dividing its AI unit into four groups, marking the fourth such restructuring in six months.

As the WSJ notes, increasing concerns about the cost of Big Tech’s AI projects has helped drive a recent selloff of technology stocks.

That trend was fueled in part by an MIT study which found that most organizations – 95% – were getting “zero return” on their investments into AI. And Sam Altman, CEO of OpenAI, had given an interview recently in which he warned of an AI bubble (while still expressing his confidence in the future of the technology).

In a research note earlier this week, analysts at Morgan Stanley warned that the compensation packages offered by Meta and Google to attract AI talent could threaten their ability to return capital to investors in the form of buybacks. 

Big spending on hiring, the analysts wrote, “has the potential to drive AI breakthroughs with massive value creation or could dilute shareholder value without any clear innovation gains.”

Meanwhile, OpenAI Chief Financial Officer Sarah Friar said this week that the AI boom was just getting underway, adding that the industry  is “voracious” for GPUs and compute.

“The biggest thing we face is being constantly under compute,” Friar said in an interview with CNBC. “That’s why we launched Stargate, that’s why we’re doing the bigger builds that you see with Microsoft, Oracle, CoreWeave and so on. And we are just getting started.”

Stargate is the data center project OpenAI launched in conjunction with SoftBank and Oracle, initially conceived as a $500 billion effort. However, last month saw reports that the project was off to a slow start, shifting its goal from investing $100 billion immediately to constructing one data center by the end of the year.

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European Commission to Impose ‘Modest’ Penalties in Google AdTech Case | PYMNTS.com

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When the European Commission announces the penalties in an antitrust case involving Google’s AdTech business in the coming weeks, it will reportedly order the company to pay a “modest” fine and will not require it to sell part of its AdTech business.

The fine is likely to be less than the 4.3 billion euros the Commission ordered Google to pay in another case in 2018, Reuters reported Friday (Aug. 29), citing unnamed sources.

Asked about the report by Reuters, the Commission decline to comment, while Google pointed to a 2023 blog post in which it criticized the regulator’s interpretation of the AdTech sector, according to the report.

The report attributed the imposition of what it described as modest penalties to the approach of the new EU antitrust chief, Teresa Ribera, who it said focuses on getting companies to end anti-competitive practices rather than punishing them with big fines.

In the AdTech case, the European Commission accused Google of abusing its dominance in the online AdTech industry since 2014. The regulator alleged that the company had wielded its market power on both sides of the supply chain by showing favoritism toward its own ad exchange, AdX, in matching auctions.

Google argued that serving both advertisers and publishers is a common industry practice, competitors operate similar AdTech businesses catering to both sides of the market, and integrated technology stacks facilitate high-quality connections between advertisers and publishers.

According to Friday’s Reuters report, advertising revenue accounted for 75.6% of Google’s total revenue in 2024.

Google also faces pressure in the United States, where it is in a legal battle with the Justice Department, and a federal judge determined that the company unlawfully maintained monopolies in critical areas of the online ad industry.

It was reported in May that the Justice Department called for Google to divest some key components of its digital advertising business, including its AdX marketplace and its DFP ad-serving platform.

The Justice Department argued at the time in a court filing that such divestitures were essential to dismantle Google’s dominance and restore competition in the markets for ad exchanges and publisher ad servers.

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AI Model Betting Is the New Fantasy Football | PYMNTS.com

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Sports gambling has DraftKings. Political junkies have PredictIt. And now the world’s nerdiest corner — the artificial intelligence (AI) scene — has its own set of bettors, where people wager actual money on whether Google’s Gemini will dunk on OpenAI’s GPT-5 this month.

Forget fantasy football, this is fantasy machine learning.

People are placing their bets on markets like Kalshi, where they can trade on the outcome of real-world events, everything from when Taylor Swift and Travis Kelce will wed to whether Google will break up and, of course, the AI model race. Kalshi saw 10 times the volume on AI trades compared with the start of the year, according to The Wall Street Journal.

“Kalshi’s markets are extremely efficient and serve as a source of truth on the likelihood of all events, including AI model progress,” Jack Such, a spokesperson for the company, told PYMNTS.

So who’s winning based on the bets?

“Gemini is the current market leader for ‘Best AI’ by the end of 2025,” Such said.

On Kalshi, Gemini shows a 58% probability of winning, compared with 19% for ChatGPT, as of midmorning on Thursday (Aug. 28). The third spot goes to Grok, at 17%. Claude, which Menlo Ventures said was the enterprise favorite, clocks in at 2% and tied with Meta’s Llama.

The total trading volume reached $8.1 million.

Kalshi is just one of several platforms that are pivoting to AI trading.

Other players include Polymarket, an offshore crypto-based prediction market, Manifold Markets, Metaculus and other sites.

Which AI model is winning globally? The AI community abroad agrees with the Americans. Polymarket, which is only available to non-Americans, predicts that Google will win by year’s end, at 66% odds. OpenAI comes in at 16% probability while xAI is third with 14%.

See also: Crypto Firms Grapple with Bank-Like Risks, Without the Regulation

Betting on Anything in the World

How Kalshi works: People bet yes or no on outcomes in the real world, such as whether the Fed will cut short-term interest rates by 25 basis points in September (76% probability it will) or who will win the Nobel Peace Prize (Yulia Navalnaya, widow of Russian opposition leader Alexei, is at 20% probability and Donald Trump at 10%).

Bettors buy contracts tied to these outcomes at prices between a penny and 99 cents, settling at $1. For example, if a bettor buys a contract for 40 cents and they guess the outcome correctly, they are paid $1. If they guessed wrong, they lose their 40 cents. Bettors can also sell the contract before there’s an outcome if they see the contract price go up or down.

In a tie, the default would be a negative outcome.

For AI models, results will be determined by the rankings on the LMSYS Chatbot Arena Leaderboard at the end of the year, according to Kalshi.

Currently, the leaderboard shows Gemini 2.5 pro slightly ahead of GPT-5 for first place, followed closely by Claude Opus.

One Kalshi user noticed a tie earlier this month and wrote, “it’s a tight race on LMArena. I don’t understand why the spread is so drastic. Huge earnings for people who bet on GPT with decent odds that it will flip.”

Kalshi began allowing bettors to trade on AI models in 2023. “We were confident in consumer demand for these products because of the rapid growth of AI and the economic and political consequences of model progress,” Such said.

Kalshi said the U.S. Commodity Futures Trading Commission regulates it as a financial exchange for trading futures, swaps and options on commodities.

“Understanding that Kalshi is regulated … helps reassure users that they are engaging with a platform that adheres to the highest standards of operation and accountability,” the company says on its site.

Here’s to hoping the bet will be good.

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FTX Drops Plans to Resurrect Fallen Crypto Exchange

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Chinese Money Laundering Networks Flagged as ‘Severe Threat’ by FinCEN | PYMNTS.com

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The Treasury Department’s Financial Crimes Enforcement Network (FinCEN) has issued a warning that Chinese money laundering networks are now among the most significant threats to the U.S. financial system, fueling operations of Mexico’s most powerful drug cartels.

In a new advisory released Thursday (August 28), FinCEN said groups including the Sinaloa Cartel and the Jalisco New Generation Cartel are increasingly using Chinese money laundering networks to clean billions in drug proceeds. The networks have become effective partners because they can move cash quickly, absorb losses and leverage demand from Chinese nationals seeking to bypass Beijing’s strict currency controls. By pairing cartel dollars with Chinese demand for U.S. currency, these networks have created what FinCEN called a “mutualistic relationship” that strengthens both sides.

The 15-page report outlines how these networks operate. They rely on informal value transfer systems, “mirror” transactions and trade-based money laundering schemes to shift funds across borders without physically moving cash. Some recruit Chinese students in the U.S. to act as money mules, depositing cartel cash into U.S. bank accounts and disguising the flows as tuition or living expenses. Others purchase electronics, luxury goods, and real estate with illicit funds, later reselling or exporting those assets to create the appearance of legitimate commerce.

“Chinese money laundering networks are professional money launderers that play a vital role in laundering the cartels’ drug proceeds in the United States,” the advisory said. “This is due to the speed and effectiveness of their operations, as well as their willingness to absorb financial losses and assume risks for the cartels and other clients.”

The advisory also lists “red flag” indicators for financial institutions, ranging from students depositing unusually large sums of cash to small businesses with outsized luxury goods transactions. FinCEN urged banks to reference the identifier “CMLN-2025-A003” when filing suspicious activity reports, and to pay special attention to transactions tied to unlicensed money service businesses, informal transfer systems and trade-based schemes.

FinCEN’s move follows a January executive order that designated several cartels as foreign terrorist organizations, underscoring the administration’s concern that cartel financing now poses not only a criminal but also a national security threat. The advisory ends with a reminder that financial institutions are on the front line of detecting suspicious flows and that voluntary information sharing under existing safe harbors can help expose networks that otherwise thrive in the shadows.

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