Liz Ann Sonders — Beyond The Mag 7: Positioning For Earnings Peaking and Yields Rising
"It's hard to extrapolate that with an infinity sign… at some point there's going to be some sort of miss." — and "rotation is the new momentum trade."
One-line take: Sonders is not less constructive — just more mindful. Her core claim is a regime change: the 2022 inflation spike ended the "great moderation" (late-1990s→2022, when bond yields and stock prices moved together because yields keyed off growth) and returned markets to the "temperamental era" of the mid-1960s→late-1990s, where yields key off inflation and bonds and stocks move in opposite directions — so a simple 60/40 no longer diversifies and investors must look wider. The 10-year at 4.80% (30-year ~5.3%) is normalization, not distress; what would matter is disorder — a break of 5% with a pickup in the MOVE index, or sheer speed. Bessent's doubled long-end buybacks treat "the symptom, not the disease" (fiscal profligacy + a wall of AI-related investment-grade issuance competing for the same buyers) and cut against Kevin Warsh's Fed; her best guess is a 25bp hike in September, and what matters for equities is speed — escalator or elevator (+4.5% average, −4% after fast cycles, +10% after slow ones). The market-cap concentration problem has eased; the earnings-growth concentration problem has not: NVDA alone is 18% of 2026 S&P EPS growth, MU another 14% — one-third from two companies, two-thirds from the top 10 (which now includes Chevron and Exxon). Dispersion is already showing (Micron the 3rd-best contributor to S&P returns, Tesla the 503rd; Samsung's whisper-number miss routed the KOSPI 40%), and the release valve is rotation rather than a crash: the index fell only 9%, but the average S&P member drew down 25.5% (Nasdaq: −13% index vs −45% average member). Favorable sectors: industrials, materials, financials plus healthcare on valuation; unfavorable: utilities and real estate; energy is the year's best performer and the Russell 2000 has double the S&P's YTD return. Her biggest worry isn't an '08 — it's the blurring of investing and gambling: "investing is about owning… gambling is about hoping."
1. Stocks & names mentioned
Sonders is a top-down strategist — this is a macro/market-structure interview, so single names appear as evidence (earnings concentration, dispersion, the whisper-number precedent) rather than as stock calls, and her sector ratings are rendered here as the corresponding SPDR sector ETFs (she names the sectors: industrials, materials, financials and healthcare favorable; utilities and real estate unfavorable). Stance reflects how each was framed in this conversation. Research: QT Qualtrim · SA Seeking Alpha · STK Stock Analysis.
| Ticker | Name | Research | View | What she said | At |
| IWM | iShares Russell 2000 ETF | QT · SA · STK | Positive | Evidence the AI money is spreading out: "the Russell 2000 has double the performance of the S&P year to date and actually is outperforming the S&P in the past two years… it's not just a 2026 phenomenon." | 30:53 |
| XLI | Industrial Select Sector SPDR (industrials) | QT · SA · STK | Positive | One of the three sectors Schwab rates on the "more favorable" end of its favorable-to-unfavorable scale — a deliberate cyclical bias — with a factor overlay applied inside it. | 42:53 |
| XLB | Materials Select Sector SPDR (materials) | QT · SA · STK | Positive | Named alongside industrials and financials as a "more favorable" rating — part of the cyclical tilt for a rolling-rotation market. | 42:53 |
| XLF | Financial Select Sector SPDR (financials) | QT · SA · STK | Positive | Favorable, and the explicit destination of the rotation out of interest-sensitives: "go into a sector like financials that as long as the yield curve is steep are beneficiaries." | 42:53 |
| XLV | Health Care Select Sector SPDR (healthcare) | QT · SA · STK | Positive | "We also, a little bit more from a valuation perspective, are on the more favorable end of the spectrum on healthcare" — the one non-cyclical favorable, rated on price rather than the cycle. | 43:25 |
| XLE | Energy Select Sector SPDR (energy) | QT · SA · STK | Neutral | "By far the best performing sector this year" and about double the tech sector's return — but people barely notice because energy is only ~3.5% of the S&P, too small to move the index. Not on Schwab's favorable list. | 38:19 |
| SPY | SPDR S&P 500 ETF | QT · SA · STK | Neutral | Forward P/E has fallen from ~22× to ~19× as earnings outran price — "that's not so bad" — but sticky inflation means little multiple upside. Valuation is a sentiment gauge, not a timing tool: "zero correlation" with the next year's return. | 35:55 |
| NVDA | NVIDIA | QT · SA · STK · FA | Neutral | "They do keep delivering" and remain the bellwether for the whole AI movement — but it is alone 18% of expected 2026 S&P earnings growth, and "it's hard to extrapolate that with an infinity sign. At some point there's going to be some sort of miss." | 27:19 |
| AVGO | Broadcom | QT · SA · STK · FA | Neutral | Reports "tomorrow" as they tape — "less of a bellwether than Nvidia," but one of the trio (with NVDA and MU) still delivering the capex-spend numbers the market is looking for. One of the two names she added to the Mag 7 to form her "Neural 9." | 27:59 |
| MU | Micron Technology | QT · SA · STK · FA | Neutral | The third-best contributor to S&P returns this year and 14% of expected 2026 index earnings growth — "you add Micron… that gets you to 32%," i.e. NVDA + MU are a third of all S&P EPS growth. | 32:46 |
| CVX | Chevron | QT · SA · STK · FA | Neutral | Enters the top-10 earnings-growth contributors at roughly #9/#10 with Exxon — the ten together are two-thirds of all S&P earnings growth. Cited as evidence the concentration is now an earnings problem, not only a market-cap one. | 33:14 |
| XOM | Exxon Mobil | QT · SA · STK · FA | Neutral | Named with Chevron as roughly #9/#10 on the top-10 earnings-growth list — the non-tech members of a top 10 that supplies two-thirds of 2026 S&P earnings growth. | 33:14 |
| 005930.KS | Samsung Electronics | QT · SA · STK | Neutral | "The early poster child" of the coming dispersion: it beat the sell-side consensus on both top and bottom line but undershot the buy-side whisper number — and the stock was routed anyway. | 28:51 |
| 000660.KS | SK Hynix | QT · SA · STK | Neutral | Together with Samsung it is such a large weight in the KOSPI that the whisper-number miss dragged the whole Korean market into a ~40% drawdown — since largely recovered. | 29:23 |
| XLU | Utilities Select Sector SPDR (utilities) | QT · SA · STK | Negative | On "the less favorable end of the spectrum," and already the worst performer over the two months of rising yields — the interest-sensitive segment where the bond move shows up beneath the index. | 43:25 |
| XLRE | Real Estate Select Sector SPDR (real estate) | QT · SA · STK | Negative | Named with utilities on the unfavorable end and among the worst performers since yields began rising — money is rotating out of the interest-sensitives into energy and financials. | 43:25 |
| TSLA | Tesla | QT · SA · STK · FA | Negative | The negative data point inside her own "Neural 9": "Tesla, which is the 503rd ranked contributor to S&P returns this year. So almost the best to the worst in an array of nine stocks." | 30:26 |
"View" is Sonders' stance in this conversation (Positive / Neutral / Negative), not a price rating — and the sector rows render Schwab's own "favorable / unfavorable" scale, which she stresses is deliberately softer than overweight/underweight and is meant to be used with a factor overlay. She also discussed Treasury yields, the Bessent buybacks, the September FOMC, the midterms and the wealth effect at the macro level (see talking points and the master macro viewpoints). Research: QT Qualtrim · SA Seeking Alpha · STK Stock Analysis.
2. Talking points
2:53 The setup — recording into a down tape, and yields are the story
- Taped Tuesday morning US eastern time with futures lower. The US 10-year is up to ~4.8% and the 30-year close to 5.3% — "big levels relative to anything in the last month or anything in the last decade."
- Yields are rising globally, not just in the US.
3:46 Not surprised stocks are holding — this is normalization, and the damage is sub-index
- Measured against nominal GDP growth or the level of inflation, yields are "not only just about where they should be, but arguably… probably have more upside." She'd rather have normal yields than the post-GFC/post-pandemic financial repression that took the 10-year to 0.5%.
- The impact is there, just beneath the index: utilities and real estate are the worst performers of the last two months, and the money has rotated into energy "for obvious reasons" and into financials.
5:44 What would count as "disorderly": 4.75 → 5%, the MOVE index, and speed
- Levels matter for psychology, not economics. 4.75% was the first psychological marker (they're at 4.80 as they tape); 5% is the next round number.
- The real triggers are the MOVE index (the bond market's VIX, "relatively calm" so far) turning up, or simply moving "very very quickly" from 4.8 through 5%. Orderly is what has kept equity volatility contained.
8:07 The regime change — great moderation out, temperamental era back in
- Great moderation (late 1990s → the 2022 inflation spike): moderate and non-volatile inflation, falling rates, massive globalization (China into the WTO in 2001). Bond yields keyed off growth, so yields and stock prices were positively correlated — "sort of nirvana."
- Temperamental era (mid-to-late 1960s → late 1990s): yields keyed off inflation; shorter cycles, more frequent recessions, and yields and stock prices moving in opposite directions — which means bond prices and stock prices move together. "We're back now in an environment that I think looks more like" that.
- Consequence: 60/40 owes its simplicity to the great moderation's inverse price relationship. That crutch is gone — but access to non-correlated asset classes has been democratized, so individual investors are better placed than they were in the 1970s.
11:41 Bessent's doubled buybacks treat the symptom, not the disease
- Buying back the long end is "normal in the sense that they were already doing this" — Bessent just doubled it. But it's aimed at the symptom: the disease is "fiscal profligacy and runaway deficits and runaway debt" and investors demanding more compensation to finance it.
- It also cuts against Kevin Warsh's Fed, which wants to shrink the balance sheet and let the long end do some of the tightening for it — Treasury and the Fed working at odds.
- Second force: a wall of AI-related corporate issuance, "a shiny new object in the corporate bond market," pulling investment-grade buyers away from Treasuries.
- And the Fed can only do so much when the inflation is supply-side — energy and tariffs both are.
17:09 Will the authorities blink? Warsh's credentials and the Jackson Hole speech
- She's known Warsh 23 years: always on the hawkish end, and she does not worry about a "give up of those inflation fighting credentials" despite the sock-puppet worries during confirmation.
- At Jackson Hole he re-anchored the 2% target and core PCE as the mandate, said inflation is too high and not falling fast enough, and opened with a reference to "two different kind of hikes" — "more than a subliminal message."
- Political pressure is overrated as a mechanism: "the FOMC is a committee. It's not a chair" — seven people move the lever, and the other governors and voting members are a "cacophony."
19:58 Best guess: a 25bp hike in September
- Both labor and inflation data matter, "but the burden of proof is more on the inflation side." It would take something really significant on the labor side to pull the Fed away from a hiking bias — which is what the market has priced for September.
- Whether the curve keeps steepening depends on how active Treasury decides to be: "the short answer and the honest answer is, I don't know."
20:56 Escalator or elevator — the speed of a hiking cycle is what equities price
- Average one-year equity return after the start of a hiking cycle: about +4.5% — below the normal annual average.
- Fast hiking cycles: about −4% over the subsequent year. Slow cycles: more than +10%. "Are they going to take the escalator or are they going to take the elevator has historically been a key determinant."
22:03 The only real fix is to grow your way out — mid-to-high single-digit nominal growth
- Nobody publishes forward nominal growth estimates, but you need mid-to-high single digits to support the backdrop and the yield/stock relationship.
- The debt math: economic growth has to run faster than both inflation and debt growth to start chipping away at the problem. "We're not there" — and if inflation keeps creeping higher, real growth is subpar.
- Earnings growth is "set to ease from just the blistering pace that we saw in second quarter" as base effects turn against it.
24:21 "Rotation is the new momentum trade"
- She is not less constructive; she expects a market defined by "pretty rapid fire rotations."
- Why: the post-COVID cycle is a series of rolling expansions and rolling recessions at the sector level rather than one aggregate boom-bust — goods boomed then went into recession while services carried the economy.
- Base case is that this persists, barring a black swan, a major credit crunch, or a Treasury market that becomes unanchored from what the Fed and Treasury can contain.
27:19 Mega-cap tech keeps delivering — but there's no infinity sign
- Nvidia reported "late last week" and "they do keep delivering"; it's the bellwether for the whole AI movement. Broadcom reports tomorrow — "less of a bellwether than Nvidia."
- The Nvidias, Microns and Broadcoms keep producing the capex-spend numbers the market wants, "but it's hard to extrapolate that with an infinity sign. And at some point there's going to be some sort of miss."
28:30 Better-or-worse beats good-or-bad — and Samsung is the poster child
- Her 40-year maxim: "better or worse often matters more than good or bad." A growth rate falling from 60% to 30% is still phenomenal — but it's the inflection point, the rate of change, the direction of travel that moves stocks.
- Samsung beat the sell-side consensus on revenue and earnings but undershot the buy-side whisper number, landed between the two, and the stock was routed.
- Because Samsung and SK Hynix are such large KOSPI weights, the Korean market drew down ~40% (since largely recovered). Expect the next step to be more individual-stock dislocation and dispersion — not necessarily as soon as Q3 reporting.
29:57 The "Neural 9" and contribution-to-return — Micron 3rd, Tesla 503rd
- She tracks the Mag 7 plus Micron and Broadcom as the "Neural 9," posted daily on her X feed.
- The right lens is contribution to return — price performance multiplied by cap size — not price performance alone.
- On that measure Micron is the third-best contributor to S&P returns this year while Tesla is the 503rd: "almost the best to the worst in an array of nine stocks." Dispersion is already here, and the money hunting AI has spread out — the Russell 2000 has double the S&P's YTD return.
32:16 The concentration problem moved from market cap to earnings
- For calendar 2026 vs 2025 S&P earnings growth: Nvidia alone is 18%, Micron another 14% — "one third of all S&P expected earnings growth in 2026 is a function of two companies."
- The top 10 earnings-growth contributors — which bring in Chevron and Exxon at roughly #9 and #10 — are two-thirds of index earnings growth.
- A high-profile miss therefore hurts twice: the psychology, and mathematically a ratcheting-down of estimates. Offsetting positive: 10 of 11 sectors saw an improving earnings profile in Q2 — "just not meaty enough when you do the math for a cap weighted index." Market-cap concentration has eased; earnings-growth concentration has not.
35:35 Valuation: 22× → 19× forward, and zero correlation with the next year
- The denominator has been rising faster than the numerator, so the forward P/E is down from ~22× earlier in the year to ~19× (source-dependent — FactSet vs LSEG IBES). "That's not so bad," though inflation that isn't falling caps multiple upside.
- She looks at forward and trailing P/E, Shiller's cyclically adjusted P/E, Tobin's Q, the Fed model, equity risk premiums, the Buffett model and the rule of 20 — and there is zero correlation between forward P/E and subsequent one-year S&P performance. "The dots are all over the map."
- Valuation is an indicator of sentiment, not a timing tool — "there's no good timing tool but valuation is definitely not one of them."
38:19 Energy the best sector, the interest-sensitives the laggards
- Energy is "by far the best performing sector this year" — roughly double the tech sector — but goes unnoticed because it is only ~3.5% of the index, too small to stop the S&P chopping around.
- The laggards are the interest-sensitive segments: utilities and real estate, hit as yields rose.
39:18 Rotation is the release valve — the index fell 9%, the average member 25.5%
- The S&P never even hit a 10% correction this year: max drawdown of 9% and change in the post-Iran-war period. But average the individual max drawdowns across all 504 members and you get −25.5%.
- Nasdaq: −13% at the index level, but the average member is −45% year-to-date.
- That's how excesses get eased — valuation, sentiment, too-high earnings bars, macro narrative changes — one group at a time. "I think we would all choose to have this experience versus the S&P in the aggregate dropping by 25% all at once."
41:36 Sector ratings plus a factor overlay
- Expect continued bouts of exit from mega-cap tech, then money coming back in around earnings season for the eye-popping numbers — the buy-the-dip mentality is intact.
- Schwab uses a favorable-to-unfavorable scale rather than overweight/underweight, deliberately subtler. Favorable: industrials, materials, financials (cyclical bias) plus healthcare on valuation. Less favorable: utilities and real estate.
- The bigger idea is a factor overlay, not a replacement: growth factors (rising forward estimates, margin stability, positive earnings surprises), value factors (P/E, price/book, price/sales) and balance-sheet factors (strong free cash flow, high interest coverage). Factors have shown "more consistency in outperformance and underperformance" than sectors, which are "much more monolithic" — and dispersion within sectors is what a factor screen sorts out.
43:56 Midterms — the worst year of the four-year cycle
- The market does care: the midterm year is the worst of the four-year cycle on average, with volatility picking up around the summer and the lead-in, then a tendency to rally afterwards (with air quotes around "tend").
- Schwab's Washington team under Mike Townsend puts the odds at ~75% the House turns and 40–45% the Senate turns.
- Consequences: little chance of unwinding the one-big-beautiful-bill or the 2017 tax cuts, so no imminent tax-policy shock — but investigations pick up and fewer executive orders get made. "If say the House does turn… I would say what rock have you been living under?"
46:26 The wealth effect — record household equity exposure and the 2000–01 precedent
- "We've never seen a higher share of household assets invested in the equity market" (Fed data). Historically, exposure at all-time highs implies subsequent 10-year equity returns on the lower end.
- The carry-through into the economy is probably greater than in the late-1990s internet bubble. Her read of 2001: the recession happened because of the equity bust — no major tightening, no credit crunch, no plumbing failure, just a bubble bursting and the wealth effect filtering through.
- And it's circular / chicken-and-egg: a lasting equity decline feeds the economy, and a weaker economy feeds back into equities more than in past cycles where the two could disconnect. Something "we all should worry about" without any sense of when.
50:40 Not less constructive — just be mindful: concentration, diversification, portfolio-based rebalancing
- Asked directly whether she's less constructive than in the last three-to-five years: "No. I think we have to be maybe a bit more mindful of the risks right now."
- The disciplines that let you keep participating without undue risk: be mindful of concentration, and diversify across and within asset classes.
- Portfolio-based rebalancing instead of calendar-based: institutional programs rebalance the last week of a quarter, or semiannually, or at year end. Let the actual portfolio tell you when to trim what has run and add to what has lagged — anchored to a strategic asset allocation that fits your horizon, income needs, and the fact that financial and emotional risk tolerance are "two entirely different things."
- Her CEO Rick Wurster's line stands: it's time in the market, not timing the market.
52:35 "Gamblers Blues" — investing is owning, gambling is hoping
- Her real worry is a gambling mentality among younger investors — sports betting, prediction markets, get-in/get-out trading, options activity. She and Kevin Gordon wrote Gamblers Blues in April; Schwab turned it into a commercial. "Almost a sort of a financial literacy crisis in the making."
- The distinction: "Investing is about owning. You are a participant in wealth creation… you're owning a stake in a company and its future cash flows." Gambling makes you a spectator — "gambling is about hoping, not about owning." Over any reasonably long period the odds favor the investor; in Vegas they never do.
- Froth markers: single-stock ETFs, leveraged and inverse products — "shades of 2021," the meme-stock and SPAC crazes. "That specifically is something I worry more about than some '08 crisis ahead of us."
3. In plain English
A jargon-free summary of why each name came up and how she framed it. (Plain-language companion to the table above; renders on each ticker's consolidated page.)
IWM — iShares Russell 2000 ETF Positive
IWM holds the Russell 2000 — roughly the 2,000 smallest companies in the big US index universe, i.e. "small caps." For years the story was that only the giant tech names went up.
Sonders points at the scoreboard: small caps have returned double the S&P 500 so far this year, and they have beaten it over the past two years too, so it is not a 2026 fluke. Her reading is that the money chasing anything AI-related has spilled well past the handful of mega-caps and is hunting for the next "shiny new object" — which is exactly what her "rotation is the new momentum trade" framing predicts.
XLI — Industrial Select Sector SPDR Positive
XLI is a one-ticket basket of the S&P 500's industrial companies — machinery, aerospace, railroads, building products, logistics. Schwab does not use "overweight / underweight" labels; it uses a softer favorable-to-unfavorable scale, and industrials sit on the favorable end.
The reason is a deliberate cyclical tilt: in an economy that keeps rolling from one sector's mini-recession to another's mini-boom, she wants exposure to the parts that benefit when activity picks up. Her caveat matters as much as the call — she'd layer a "factor" screen on top (see XLV), because the spread between the best and worst stock inside a sector is now wider than the spread between sectors.
XLB — Materials Select Sector SPDR Positive
XLB holds the materials companies — chemicals, packaging, metals and mining, construction materials: the businesses that supply the physical inputs to everything else.
It is the second leg of the same cyclical bias as industrials. Sonders is not making a commodity price forecast; she is saying that if the economy keeps rolling forward in patches and inflation stays sticky, the companies selling real, physical stuff are on the better side of that than the ones whose value depends on cheap money.
XLF — Financial Select Sector SPDR Positive
XLF is the banks, brokers, insurers and payment companies of the S&P 500. It is on Schwab's favorable list, and it is also where she says the money leaving utilities and real estate has actually gone.
The mechanism is the shape of the yield curve. Banks borrow short (deposits) and lend long (mortgages, business loans); when long-term rates sit well above short-term rates — a "steep" curve — that gap is their profit margin. Rising long yields hurt anything that behaves like a bond, but they hand banks a wider spread, so the same force that is punishing utilities is paying financials.
XLV — Health Care Select Sector SPDR Positive
XLV is the healthcare basket — drugmakers, insurers, device and equipment makers, hospital operators. It is the one favorable-rated sector that is not a cyclical bet.
Her reason is price: healthcare has been left behind enough that it now screens well "from a valuation perspective." That is a different kind of argument from industrials/materials/financials, where the case is about the economic cycle — here she is simply saying you are being paid a lot less for the same earnings than in the crowded parts of the market.
XLE — Energy Select Sector SPDR Neutral
XLE holds the S&P 500's oil and gas companies. Sonders' point about it is a statistic, not a recommendation — energy is "by far the best performing sector this year," roughly double the return of the tech sector, and almost nobody has noticed.
The reason nobody noticed is arithmetic: energy is only about 3.5% of the index by market value, so even a spectacular year barely nudges the S&P. It is a neat illustration of her whole thesis — the interesting action is happening beneath a headline index that looks calm. Note that energy is not on Schwab's favorable list; she is reporting the rotation, not endorsing it.
SPY — SPDR S&P 500 ETF Neutral
SPY tracks the S&P 500 — shorthand for "the US stock market." On valuation, the good news is that earnings have been growing faster than prices, so the forward price-to-earnings ratio (what you pay per dollar of next year's expected profit) has fallen from about 22× earlier in the year to about 19×. "That's not so bad." The catch: with inflation not coming down, you shouldn't expect investors to pay a higher multiple from here.
Her bigger message is a warning about how to use that number at all. She checks every valuation gauge there is — Shiller's cyclically adjusted P/E, Tobin's Q, the Fed model, the Buffett indicator, the rule of 20 — and finds essentially zero correlation between the forward P/E and how the index does over the following year. Cheap markets keep falling; expensive markets keep rising. Valuation tells you about sentiment and about very long-run (10-year) returns, not about timing.
NVDA — NVIDIA Neutral
Nvidia makes the chips that AI runs on, and its quarterly report has become the health check for the whole AI boom. Her verdict on the latest one is straightforwardly positive: "they do keep delivering," and the capex numbers the market wants keep showing up.
The worry is a maths problem, not a business problem. Nvidia by itself accounts for 18% of the entire S&P 500's expected 2026 earnings growth. When one company carries that much of the index's profit growth, "it's hard to extrapolate that with an infinity sign" — eventually growth slows simply because last year's number was so big (what she calls base effects), and a single high-profile miss would force analysts to cut estimates across the whole index. Her governing rule applies: better-or-worse matters more than good-or-bad.
AVGO — Broadcom Neutral
Broadcom designs custom AI chips and networking silicon for the big cloud companies, and it reports the day after this interview was taped. She calls it "less of a bellwether than Nvidia" — useful, but not the read on the whole AI complex that Nvidia's number is.
It matters here mainly because it is one of the two names she added to the "Mag 7" to build the group she tracks daily, the Neural 9. Along with Nvidia and Micron it keeps producing the capital-spending numbers that justify the AI trade — which is precisely why she is watching for the first crack.
MU — Micron Technology Neutral
Micron makes memory chips — the high-bandwidth memory that sits beside AI processors — and it has been one of the year's biggest winners. On her preferred measure, contribution to return (a stock's price move multiplied by how big the company is), Micron is the third-largest contributor to the S&P 500's whole return this year.
It is also the second half of the concentration problem: Micron supplies 14% of the index's expected 2026 earnings growth on top of Nvidia's 18%, so those two companies alone are a third of it. That is not a criticism of Micron — it is the reason a single disappointment from a chip company would be an index-level event.
CVX — Chevron Neutral
Chevron shows up not as an oil call but as a name on a list. When she extends the earnings-growth ranking from the top two to the top ten contributors, Chevron enters at roughly ninth or tenth — and those ten companies together supply two-thirds of the S&P 500's expected 2026 earnings growth.
The useful detail is that the list is not all AI. Two oil majors sitting in the top ten is what makes energy the year's best-performing sector even though it is a tiny slice of the index by market value.
XOM — Exxon Mobil Neutral
Exxon is the other oil major she names in the top ten earnings-growth contributors, alongside Chevron. Same role in the argument: proof that the profit growth propping up the index comes from a very short list of companies — and that the list has an energy tail as well as an AI head.
The takeaway she draws is structural. Market-cap concentration (a few enormous companies dominating the index's size) has actually eased; earnings concentration (a few companies supplying nearly all its profit growth) has not. That is the more fragile of the two.
005930.KS — Samsung Electronics Neutral
Samsung is the world's biggest memory-chip maker, and Sonders uses it as the "early poster child" for what she thinks happens next in AI stocks. When it reported, it beat the published Wall Street consensus on both revenue and profit — and the stock was hammered anyway.
The reason is the gap between two different expectations. The "consensus" is the average of published analyst forecasts; the "whisper number" is the higher figure big investors have quietly come to expect after a run of blowout quarters. Samsung landed in between — good versus the official bar, disappointing versus the real one. That is her rule in action: better or worse matters more than good or bad, and after a boom the bar you actually have to clear is the unpublished one.
000660.KS — SK Hynix Neutral
SK Hynix is Samsung's Korean rival in memory chips and the other giant weight in Korea's KOSPI index. She names the pair to explain the size of the damage: because those two companies dominate the index, one whisper-number miss pulled the entire Korean stock market into roughly a 40% drawdown (a fall from its peak), since largely recovered.
The lesson is about concentration risk, not Korean semiconductors. When a handful of names carry an index, a stumble at one of them is not a stock story — it's a market story. She points at Korea as the small-scale rehearsal for what over-concentration could do elsewhere.
XLU — Utilities Select Sector SPDR Negative
XLU holds the electric, gas and water utilities — steady, dividend-paying businesses that investors buy largely for income. That makes them "interest-sensitive": when a government bond suddenly pays 4.8% risk-free, a utility's dividend looks less attractive and its share price falls.
That is exactly what has happened. Utilities have been among the worst performers over the two months of rising yields, and Schwab has them on the less-favorable end of its scale. Sonders' broader point is that this is where the bond selloff has actually shown up — beneath a calm-looking index rather than in it.
XLRE — Real Estate Select Sector SPDR Negative
XLRE holds listed property companies (REITs) — landlords of offices, malls, warehouses, data centres and apartments. Like utilities, they are bought for their income streams and financed with borrowed money, so higher long-term rates hit them twice: the yield becomes less competitive, and refinancing gets more expensive.
She names real estate with utilities on the unfavorable end of Schwab's scale and as one of the worst performers since yields began climbing. The money leaving these two sectors is the same money showing up in energy and financials — that is her "rotation" in one concrete example.
TSLA — Tesla Negative
Tesla is the negative data point inside her own nine-stock AI group. Ranked by contribution to the S&P 500's return this year — price move times company size — Tesla comes in 503rd out of 504, essentially last.
She is not arguing a bear case on the business; she is using the number to kill the idea that "the Mag 7" moves as one block. Within a group of nine supposedly identical AI winners you have the third-best contributor (Micron) and almost the very worst (Tesla). That spread — dispersion — is the thing she expects to widen from here, and it is why she prefers screening on company characteristics over buying a theme wholesale.
Summary & timestamps derived from the public YouTube video (transcript in transcript.txt) for personal study. Not investment advice. © The Master Investor Podcast / Master Investor Limited for source material.