Jeremy Phillips

Jeremy Phillips covers stocks and personal finance for 24/7 Wall St., with a focus on how technology, macro forces, and professional investor thinking translate into long-term returns for everyday shareholders. He has been writing about stocks and personal finance for more than two decades, bringing an investor’s mindset to his coverage of public markets. A recurring thread in his work is the belief that the most durable investment stories sit at the intersection of technology and traditional sectors, and he writes with that lens across growth, income, and risk. His pieces combine hard numbers, strategist commentary, and clear takeaways, positioning him as a guide for readers trying to navigate the noise of the modern market cycle.

AI, Data Centers and the Long-Term Tech Trade

Phillips returns frequently to the question of how artificial intelligence reshapes the investment landscape, treating AI as a long-duration theme rather than a short-term trade.

His work on Wall Street’s AI infrastructure bet tracks hundreds of billions of dollars in hyperscaler capital expenditure and highlights strategist Michael Liebowitz’s argument that AI-driven efficiency gains could render much of today’s data center buildout obsolete before it pays off, with clear implications for names like NVIDIA and Microsoft. In that piece he stresses the mismatch between the three-to-five-year life of AI accelerators and the multi-decade life of underlying fiber, framing today’s spending boom as far riskier than the late-1990s telecom overbuild. He also underscores how Apple’s relatively restrained AI spending could position it as a future consumer broker of AI products once the technology matures, illustrating his habit of reading capital allocation as a signal rather than a headline.

Beyond infrastructure, Phillips follows how AI narratives feed into broader tech earnings and market concentration. His coverage of NVDA and Micron, for example, shows that stripping those two stocks from S&P technology earnings drops expected growth to roughly low single digits, underscoring how much of the sector’s story rests on a very narrow base.

He writes similarly detailed work on Alphabet, including pieces that set explicit price targets, lay out five-year scenarios, and assign confidence levels to buy ratings, giving readers a structured view of risk and reward rather than vague enthusiasm. His analysis of high-risk opportunities such as WIX frames them as binary trades, explaining analyst Daniel Velasquez’s case that new AI products like Base44 and Wix Harmony could turn a beaten-down stock into a multibagger - or go to zero if execution fails. In articles on figures like Elon Musk and voices inside Anthropic, he contrasts grand promises about AI doubling the world economy with warnings about existential risk, and he shows how those conflicting messages filter into market sentiment over the course of a single morning.

Across these pieces, the distinctive feature is his insistence on marrying AI hype to earnings concentration, capital expenditure realities, and explicit upside/downside paths.

Macro Signals, Risk and Market Structure

Phillips spends significant time on the mechanics of risk in equity markets, often starting with macro data and ending with practical implications for leverage, housing, or sector exposure. In his coverage of Friday’s Consumer Price Index, he uses commentary from a Schwab fixed-income strategist and a Wharton finance professor to connect a hotter-than-expected inflation print to the possibility of a near-term Federal Reserve rate hike, then shows how elevated mortgage rates have already crushed demand for homebuilders such as D.R. Horton and Lennar.

He breaks out details like Lennar’s compressed gross margins and rising buyer incentives to demonstrate how monetary policy translates into operational stress at the company level.

His work on stock market warning signals leans on technicals and margin data to flag periods when risk is building beneath strong index performance.

In one piece he notes SPY and QQQ gains of 27% and 40% over a year, then points to SPY’s gap above its 200-day moving average matching levels that preceded past 30%-plus crashes and rising margin balances combined with a 10-year yield near 4.49%. He ties those figures to analysis from the Retire SMART Podcast, again using professional chart work as a way to explain why apparently healthy markets can be fragile. His “reality check” roundup extends the theme to software and internet names, detailing deep drawdowns in stocks like Salesforce, Snowflake, and Reddit despite heavy AI branding and rich valuation multiples that assume flawless execution.

Elsewhere he highlights how the Nasdaq’s biggest winner on a given day can still be a bitcoin-linked stock that remains down more than 50% over the year, reinforcing his view that eye-catching moves often sit inside longer, more painful trends. When he covers consumer staples, such as Campbell’s decision to cut a dividend untouched since 2001 and the resulting sell-off across peers like General Mills and Kraft Heinz, he frames dividend policy changes as structural shocks that echo across an entire aisle of the market.

Income, ETFs and Practical Personal Finance

Alongside growth and risk, Phillips devotes substantial coverage to income strategies and simple, durable habits for individual investors. He writes recurring features on dividend-paying stocks, including lists of high-yield names and upcoming payouts from large companies, presented as quick “biggest players” roundups that help income-focused readers plan their cash flow. His work on dividend aristocrats highlights stocks with long records of increasing payouts and argues that they belong in every income portfolio, anchoring the argument in both yield and stability rather than chasing short-term screens.

In his consumer staples coverage, he shows how a single dividend cut at Campbell’s triggers price moves and sentiment shifts across food peers, reminding readers that income investing depends not just on current yield but on management’s willingness to sustain it.

Phillips also writes about ETFs and market access, calling them some of the best investing instruments created for giving small investors instant, liquid exposure to hundreds of quality companies at low minimums. He explains vehicles like the Invesco QQQ Trust, breaking down what it tracks and how its tech-heavy composition affects performance.

In a personal finance piece on interest rates, he argues that investors have spent a year glued to every Fed press conference and Treasury auction, then uses insights from guests such as Andrew Sather to emphasize that outcomes for everyday investors depend far more on saving enough, automating contributions, and staying invested than on rate-watching minutiae. Episodes like this show him translating podcast discussions into concrete three-step plans - save, automate, and keep money in the market - so readers can act without mastering every macro detail. He extends that pragmatic tone to sector ideas, profiling specialty defense and energy plays positioned for the next upcycle and spotlighting companies like Beta Technologies building an electric aviation stack across aircraft, propulsion, and charging infrastructure.

Across his income and ETF work, the distinguishing mark is a focus on simple structures and repeatable behaviors that can survive multiple cycles.

Phillips writes frequently and across market regimes, with hundreds of recent articles spanning live index updates, earnings reactions, price targets, sector deep-dives, and personal finance explainers. What sets his coverage apart is the combination of a tech-forward investing philosophy, close attention to macro and structural risk, and a persistent effort to distill strategist and podcast insights into clear, actionable frameworks for retail investors.