Could a sell-off in Nvidia stock pop the AI bubble? And how much of your portfolio depends on the answer?

In Episode 260 of Payne Points of Wealth, Ryan Payne, Bob Payne, Chris Payne, and Courtney Garcia debate what could derail the AI trade. They look at what Nvidia’s earnings can tell investors, how hyperscaler borrowing and local pushback could slow data center construction, and where today’s AI boom resembles the dot-com bubble.

The team also looks at what’s happening outside big tech, from resilient consumer spending to the market rotation into energy, healthcare, and materials. They close with a practical question for investors who rode the AI rally. How much single-stock risk can you take and still stay invested when the market turns?

Could the next leg of the bull market come from the stocks investors have been overlooking? With the midterms behind us, Ryan Payne, Bob Payne, Chris Payne and Courtney Garcia make the case that rising earnings, easing rates and a rally spreading beyond the Magnificent Seven could set the stage for another move higher.

On this episode of Payne Points of Wealth, the team digs into why Wall Street may welcome congressional gridlock, what’s driving interest in dividend-paying stocks, small caps and international markets, and whether trillions in money market funds could fuel a stock market melt-up. Courtney offers a different take on that last point. If earnings keep growing, the rally may have room to run even if investors keep their cash parked.

Plus, why consumers keep spending despite feeling downbeat about the economy, what the team is watching heading into the holidays, and how to tell if your portfolio is still too dependent on the AI trade.

Will artificial intelligence destroy millions of jobs—or unlock the next wave of economic growth?

On this episode of Payne Points of Wealth, entrepreneur and author Vivek Wadhwa joins the team for a spirited debate about AI’s impact on jobs, investing, healthcare, and the future of the U.S. economy.

Wadhwa argues that AI is advancing faster than businesses, workers, and regulators can adapt. But could an aging workforce, labor shortages, and new opportunities for entrepreneurs make AI exactly what the economy needs?

We explore why a technology can change the world without making today’s leading AI companies tomorrow’s winning investments—and whether a shift toward AI running on personal computers could challenge the massive spending on cloud infrastructure.

Plus, Wadhwa shares the personal story behind his work on affordable, AI-powered medical diagnostics and explains why he believes the H-1B visa system needs a fundamental overhaul.