Frances Newton appeared on Fox Business on July 22, 2026, to discuss how growing global competition could reshape the artificial intelligence investment landscape. She explained that new AI models and lower-cost competitors may challenge the dominance of U.S. technology companies without eliminating the broader AI trade. Instead, greater competition could reduce costs, expand adoption, and create opportunities for companies supporting AI inference, cloud computing, and infrastructure.

The conversation also explored shifting AI bottlenecks, including memory, electricity, water, data centers, and other essential infrastructure. Frances discussed why investors may need to remain tactical when evaluating rapidly changing technology and semiconductor trades while taking a longer-term view of the physical assets required to support AI growth.

She also addressed Treasury yields, Federal Reserve policy, oil prices, and the possibility of renewed inflation, highlighting how interest rates and broader market conditions could affect technology valuations and investment strategy.

Key Questions from This Segment

What happens to AI investments when more competitors enter the market?

Greater competition can place pressure on pricing. As more companies offer similar AI capabilities, providers may respond by lowering the fees for access to their models. OpenAI, for example, reportedly weighed steep price cuts to its AI offerings amid competitive pressure from Anthropic. Competition can also pressure the market dominance of established companies. It may make AI tools more affordable, expand adoption, and create opportunities for businesses that provide computing, cloud, and infrastructure services.

Source: CNBC – OpenAI mulls slashing prices ahead of competition from Anthropic: WSJ

Why is AI infrastructure considered a long-term investment theme?

AI systems depend on physical infrastructure such as data centers: the facilities that house the servers, storage, and networking equipment used to run and train AI models, along with the power supply and cooling equipment needed to keep that hardware running. They also depend on electricity generation, transmission networks, cooling systems, water, and communications equipment. These assets remain necessary even as individual AI models, chips, and software platforms change.

Source: TechTarget – What is a Data Center?

Source: U.S. Energy Information Administration – Commercial electricity demand grew fastest in states with rapid computing facility growth

What are AI bottlenecks?

AI bottlenecks are constraints that can limit the industry’s growth or computing capacity. They may include semiconductor memory, particularly the high-bandwidth memory chips that store and rapidly feed data to AI processors. Manufacturers such as Samsung and SK Hynix have struggled to produce enough of these chips to keep up with data-center demand. Other bottlenecks include advanced chips, electricity, data-center space, cooling capacity, water access, and network infrastructure.

Source: CNBC – Memory chip shortage to last through 2027, semiconductor boss says

Why might investors treat AI technology and infrastructure differently?

Individual technology and semiconductor investments can be sensitive to valuation: how a company’s stock price compares with its earnings or growth prospects. They can also be sensitive to competition and rapid product obsolescence, since newer, faster chips can quickly displace current models. Infrastructure assets may offer a longer-term investment case because they support many companies and technologies rather than relying on one specific AI model.

Source: CNBC – Memory chip shortage to last through 2027, semiconductor boss says

How do interest rates and Treasury yields affect AI investments?

Higher yields, the interest the U.S. government pays on its debt, serve as a benchmark that influences borrowing costs across the broader economy. When yields rise, financing costs increase, and the present value investors assign to future corporate earnings can fall. That’s because a higher discount rate, when applied to future profits to convert them to today’s dollars, makes them worth less in current terms. This can place pressure on highly valued technology companies. It can also make debt-funded AI infrastructure projects more expensive, many of which have relied on tens of billions of dollars in borrowing as companies race to build data centers faster than their own cash flow would allow.

Source: Bloomberg – A Warning for Investors Chasing High-Flying Tech Stocks

Source: Bloomberg – The $3 Trillion AI Data Center Build-Out Becomes All-Consuming For Debt Markets

Sources: The information above is based on publicly available resources from government agencies and industry organizations. Links are provided for educational purposes to help readers learn more about the topics discussed during this interview. Please note that each link will send you to a different website.

The posted video is a media appearance by Frances Newton on a third-party television program. The views and opinions expressed are those of the speaker as of the date of the broadcast and are subject to change without notice.

This segment is being reposted for informational purposes only. The content was prepared for a general audience and should not be considered investment, tax, or legal advice, a recommendation to buy or sell any security, or a solicitation to engage in any investment strategy. The statements made during this broadcast reflect general market commentary and do not take into account the specific investment objectives, financial situation, or needs of any individual investor.

Any references to specific securities, sectors, or investment strategies are provided solely for illustrative or informational purposes and do not constitute recommendations. Past performance or historical market discussions referenced in the broadcast are not indicative of future results.

The media outlet, program host, and network are not affiliated with or endorsing Tuttle Wealth Partners or its advisory services. The Firm has no control over the content or editing of the original broadcast.

By clicking on certain links, you may leave our website. The external links you access may lead to content hosted on another server, which we have not independently verified. These links are provided solely for your interest and convenience. 

Join Frances Newton's Email List

Frances is a nationally recognized economic strategist, market analyst, financial advisor, educator, and frequent contributor across national financial media, including Fox Business, Bloomberg, Yahoo Finance, CBS, and Schwab Network. Subscribe to receive commentary on monetary policy, market trends, economic cycles, and the forces shaping today’s global economy.

This field is for validation purposes and should be left unchanged.
Name(Required)