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Beyond JEPI: Navigating Market Volatility with Modern Covered Call ETFs

  Filed under: Investment Strategy | Dividends & ETFs   Rising Volatility in the U.S. Stock Market Interest rates remain one of the dominant drivers of U.S. equity market sentiment. The 10-year U.S. Treasury yield has climbed toward 4.7%, while the 30-year yield has recently traded around the 5.3% area. Following Federal Reserve Chair Kevin Warsh’s hawkish Jackson Hole remarks, markets moved toward roughly even odds of another rate increase at the September meeting. Elevated yields create persistent headwinds for equities. When risk-free Treasury securities offer increasingly attractive nominal returns, investors demand more compensation for holding riskier assets. This is particularly important for growth stocks, where a larger share of expected earnings lies further in the future. Higher discount rates reduce the present value of those future cash flows, putting additional pressure on valuations. Against this backdrop, the U.S. Department of the Treasur...
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Tech & AI

Tech & AI: Investing Beyond the Hype

Artificial intelligence has become one of the largest capital-investment themes in modern markets. But an exciting technology does not automatically create an attractive investment.

Market in Steps examines AI and technology through the economics behind the story: demand, infrastructure, revenue, margins, competitive advantage, capital expenditure, and valuation.

The key question is not simply whether a technology works. It is whether companies can turn that technology into durable economic value.

How We Analyze AI Investments

Compute

AI begins with computational infrastructure. GPUs, CPUs, memory, networking, storage, and advanced packaging determine how quickly models can be trained and deployed.

Power and Physical Infrastructure

Data centers require enormous amounts of electricity, cooling, transmission equipment, and physical construction. These constraints can create investment opportunities far beyond the semiconductor companies receiving most of the headlines.

Software and Distribution

The next question is who can turn computing capacity into products that customers repeatedly pay for. Enterprise software, cloud platforms, AI agents, and specialized applications compete at this layer.

Monetization

Usage growth alone is not sufficient. Investors eventually need evidence that AI improves revenue, margins, retention, productivity, or another measurable business outcome.

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Frequently Asked Questions

How can investors distinguish real AI adoption from hype?

Look for measurable customer spending, recurring revenue, backlog, utilization, margin improvement, or productivity gains. A product announcement is evidence of technological activity, not necessarily evidence of economic value.

What metrics matter most for AI infrastructure companies?

Revenue growth, order backlog, capacity utilization, margins, customer concentration, capital expenditure, and free cash flow are particularly important. For emerging technologies, investors should also watch whether commercial adoption matches announced roadmaps.

How should investors think about valuation in a high-growth AI theme?

High growth can justify premium valuations, but the growth required to support those valuations rises with the stock price. Investors should separate a strong business from a stock whose future success may already be heavily priced in.

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Sector Trends | Earnings Review | Investment Strategy

Last updated: August 2026

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