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.