CNBC’s Jim Cramer has a message for companies touting their AI investments: show me the cash.
Cramer, host of the popular finance show “Mad Money,” isn’t a naysayer when it comes to AI, but he’s not willing to blindly invest in companies that claim AI is a key part of their strategy without tangible results.
“I need cold hard return facts,” Cramer said in a recent interview. “Or, I, too, will grow more skeptical about these companies’ AI efforts.”
The skepticism comes from a place of experience. Cramer has spent his career covering the tech industry, including the hype surrounding AI. Time and again, he’s seen companies make big promises about AI, only to fall short when it comes to delivering actual returns.
Cramer’s comments echo a sentiment shared by many investors and analysts: AI is not a panacea for companies looking to boost profits. Unless companies can demonstrate a clear return on investment, investors will continue to be hesitant to put their money behind AI initiatives.
AI’s ROI conundrum
Proof in the pudding
Cramer isn’t asking for just any old financial numbers, either. He wants to see concrete, measurable results that demonstrate AI is driving real revenue growth and profitability.
“What this means” for companies investing in AI is clear: if you can’t show the numbers, you’re not going to get the investment you’re looking for. It’s time to get serious about measuring the ROI of AI initiatives and demonstrating their value to investors.
