Hedge funds and other money managers spent $2.8 billion on alternative data in 2025, according to a new report from consultancy Neudata, a 17% jump from the year before. It's more than double what asset managers spent on alternative data in 2021, which includes a wide range of non-traditional information sources. The report projects that the total spend on alternative datasets could jump to more than $23 billion in the consultancy's bull case in 2030 and just under $8 billion in the bear case.
"There is no question that when you put these tools in the hands of smart people, it increases their productivity," Solomon said in an exclusive interview ahead of this week's 10,000 Small Businesses Summit in Washington. "You're going to see changes in the way analysts, associates and investment bankers work."
I suspect that the world of chat apps will create, obviously, more options for consumers and how they're going to use it, but it is inevitable that AI is going to drive our financial lives, and whether we choose to use it a lot, or a little, or maybe not at all is a personal decision,
Humans are no longer the ones setting the breakneck pace on Wall Street. The New York Stock Exchange is now processing 1.2 trillion order messages per day, a staggering threefold jump from just four years ago, according to New York Stock Exchange President Lynn Martin. The surge, she said, is being driven by AI-fueled trading, algorithmic strategies, and hyperspeed market participants that have transformed the structure of U.S. markets.
In an interview with Bloomberg Wealth released on Wednesday, Vlad Tenev reiterated his view that people don't always trade to make money and that there will always be a human aspect to business. "Most of the time you're not doing it just because you want to make money," he said. "You also love trading and you're you're extremely passionate about it." He added: "I don't think there's going to be a future where AI just does all of your thinking, all of your financial planning, all the strategizing for you."
This is not ideal when trying to close the books, hit targets, or stay afloat. Beyond the financial strain, payment delays increase credit risk, disrupt cash flow, and wear down already-stretched teams. However, implementing AI in your payment process can help speed things up and give you more control and visibility in your financial operations. In this blog post, we'll break down the tangible benefits of using AI in accounts receivable (AR) management and the best tools to modernize your AR processes.
AI is showing up in every corner of the business world - but in high-stakes fields like finance and tax, its real value isn't speed for speed's sake. It's about reducing friction, increasing accuracy and giving overworked teams the tools to focus on what matters most.
When you're at a global network like Mastercard or Visa, you see payments at scale. But the pace of innovation is different, understandably so. There are layers of infrastructure, regulation, and decision-making.
