For decades, Iran has threatened to close the Strait of Hormuz. Last weekend, it finally happened — and the global energy market is scrambling to figure out what comes next.

After U.S. and Israeli forces struck Iran on February 28, Tehran effectively shut down one of the most critical chokepoints in global trade. Roughly 20% of the world’s oil consumption flows through this narrow passage. Within hours, tanker traffic ground to a halt. Ships started piling up on both sides. The International Maritime Organization urged all vessels to avoid the area entirely. Maersk — the world’s shipping backbone — suspended passage through both the Strait of Hormuz and the Suez Canal.

The price reaction was swift. Brent crude surged as much as 13% to hit $82 a barrel, a 14-month high. European natural gas exploded — the Dutch benchmark jumped 41% in a single session after QatarEnergy, one of the world’s largest LNG exporters, halted production following drone attacks on its facilities. That shutdown alone threatens nearly 20% of global LNG supply. Gold climbed 2.5% to $5,408 an ounce as investors grabbed for safety. European stock markets dropped 2-3% across the board.

Here’s what makes this different from every other Middle East scare: it’s actually happening. This isn’t a threat or a missile test. Ships are stopped. Production is offline. Four vessels have already been hit in Gulf waters. And President Trump has suggested the strikes could continue for four more weeks.

Yet oil traders aren’t panicking — and that’s the interesting part. “The crude market is extremely measured,” says Rebecca Babin, an energy trader at CIBC Private Wealth. The reasoning? Global stockpiles are healthy. China, in particular, has massive reserves both onshore and floating offshore. Markets have been oversupplied, which created a cushion. Traders are betting this resolves quickly, like most recent geopolitical flareups have.

But the cushion has limits. “There are buffers — strategic reserves, rerouted cargoes, elevated floating inventories,” wrote Angie Gildea of KPMG, “but those are stopgaps.” If the strait stays closed beyond a few weeks, all bets are off. Several analysts have warned that a prolonged disruption could push oil past $100 a barrel. Helima Croft of RBC pointed out that OPEC+’s weekend production increase is essentially meaningless if the oil can’t physically leave the region — calling stranded OPEC barrels “a moot point.”

Meanwhile, an underreported angle: U.S. Treasurys are failing as a safe haven. Historically, geopolitical crises sent investors flooding into government bonds. This time, 10-year yields actually rose after the attack — the opposite of what “risk-off” playbooks would predict. That’s a meaningful shift for anyone relying on bonds as portfolio insurance.

The winners so far? Energy stocks (BP and Shell up ~3%), defense names (BAE Systems surged 5%), and gold. The losers? Airlines, European equities, and anyone who assumed this kind of disruption was priced in. For investors, the critical variable isn’t whether oil goes to $85 or $90 in the next few days — it’s duration. A one-week disruption is a speed bump. A one-month disruption rewrites the playbook for 2026.

If you woke up Monday morning wondering why your portfolio looks like it got hit by a truck, here’s the short version: the United States and Israel launched joint military strikes on Iran over the weekend, killing Supreme Leader Ayatollah Ali Khamenei and sending shockwaves through every asset class that matters.

Dow futures dropped over 500 points. The S&P 500 and Nasdaq slid more than 1%. Crude oil spiked 7% on fears that the world’s most critical oil chokepoint — the Strait of Hormuz — could become a flashpoint. Gold surged 3% as investors scrambled for shelter. The VIX, Wall Street’s so-called “fear gauge,” jumped to its highest level of 2026. In other words, the textbook geopolitical panic playbook is running exactly as designed.

But here’s what separates smart investors from the herd: panicking is easy. Knowing where the money is actually flowing is what counts.

Defense stocks lit up like a Christmas tree. Northrop Grumman and Lockheed Martin popped 5% in early trading. RTX — the company formerly known as Raytheon — jumped more than 6%. These aren’t speculative moonshots. These are companies with massive government backlogs that just got a very loud reminder of why they exist. When geopolitical risk spikes, defense spending doesn’t get cut — it accelerates.

Energy names followed. Exxon Mobil gained 4%, Chevron added 3%. Iran is OPEC’s fourth-largest producer, and even a temporary disruption to exports or Strait of Hormuz traffic could squeeze global supply at exactly the wrong time. Oil was already dealing with tight inventories. Now add a war in the Persian Gulf.

Meanwhile, everything else sold off. Tech stocks led the decline, with Broadcom, Amazon, and Alphabet all falling. Banks followed — Morgan Stanley and Goldman Sachs dropped as risk appetite evaporated. This is the classic risk-off rotation: out of growth and leverage, into hard assets and government contractors.

The big question now is whether this becomes a buyable dip or the start of something worse. History offers some guidance. Geopolitical shocks — even serious ones — tend to create short-lived market dislocations. The Gulf War selloff in 1990 lasted about three months before reversing. The post-9/11 selloff bottomed in five trading days. Even the Russia-Ukraine invasion shock in 2022 was mostly absorbed within weeks.

Barclays’ Ajay Rajadhyaksha put it bluntly in a note to clients: “The tail risk of a sustained conflict is higher than in 2024 or 2025,” but he cautioned that early this week “is too early to buy any dip, especially with investors used to a pattern of quick de-escalation.”

That’s the key variable. If the conflict stays contained — U.S. strikes achieve their objectives and Iran’s response is measured — this selloff becomes an opportunity. Historically, the S&P 500 has been higher 12 months after every major geopolitical shock of the last 30 years. But if fighting disrupts Hormuz traffic or Iran retaliates in a way that drags in other regional powers, the calculus changes entirely. A sustained oil supply disruption could reignite inflation, force the Fed to pause or reverse rate cuts, and knock the economic expansion off course.

For now, the playbook is clear: don’t panic-sell into a gap down, watch oil prices as the leading indicator of escalation risk, and keep an eye on defense and energy names that benefit regardless of how the conflict resolves. The market hates uncertainty — but uncertainty is where prepared investors make their money.

Wall Street has a new favorite parlor game: arguing about whether Big Tech is torching $700 billion a year on an AI fever dream. The bears call it the worst capital misallocation since the dot-com bubble. The bulls say it’s the setup for the greatest return on invested capital in modern corporate history.

Here’s the part most people skip: the math. And when you actually run the numbers, the spending doesn’t just look defensible — it looks potentially brilliant.

Microsoft, Amazon, Alphabet, Meta, and Oracle are collectively pouring roughly $710 billion into AI-related capital expenditures this year. That’s $2 billion per day flowing into compute, data centers, fiber, energy, and cooling systems. To justify that kind of burn rate, you need to believe the revenue opportunity on the other side is enormous. And it turns out — it is.

The AI business model breaks into three revenue engines, each operating on a different timeline and scale. The first is consumer subscriptions — your ChatGPT Plus, Claude Pro, Gemini Advanced subscriptions. With 3.5 billion addressable consumers globally and tiered pricing, this layer tops out around $120 billion annually. Real money, but practically a rounding error compared to what comes next.

The second engine is enterprise AI — specifically, automating knowledge work. There are roughly 560 million knowledge workers worldwide (lawyers, analysts, engineers, marketers) earning a combined $32 trillion per year. If AI automates 40% of that work and vendors capture 20% of the savings, you’re looking at $2.56 trillion in annual revenue. The critical insight here: AI vendors can price against labor costs, not software budgets. That’s a 10x to 50x difference in scale, and it’s why the shift from per-seat to consumption-based pricing is the single most important business model evolution to watch right now.

The third engine — physical AI and robotics — is even larger. Three billion physical workers globally represent $39 trillion in annual labor costs. Robot-as-a-Service is already the emerging model, with Figure AI, Amazon’s warehouse buildout, and Tesla’s Optimus program all racing to get there. At maturity, this could generate $4 to $5 trillion in annual revenue. The gating factor isn’t the AI — it’s hardware costs, and those curves have historically compounded faster than anyone models. Industrial robot arms went from $100,000+ to under $30,000. Lithium-ion batteries dropped 85% since 2010.

Stack all three engines together and you get a conservative $7 trillion annual revenue opportunity — nearly 10x what the hyperscalers are spending on capex this year.

Now here’s where it gets really interesting for investors. Blending margins across all three segments (software-like 50-60% for consumer, 35-45% for enterprise, 20-30% for physical/robotics) yields roughly 32% operating margins. After taxes, that’s approximately $1.77 trillion in annual profit at maturity. For context, the entire S&P 500 currently generates about $1.5 trillion in after-tax earnings. The AI stack alone could exceed that — concentrated among just a handful of companies.

The return on invested capital? Roughly 27-28% at maturity, putting it in the same league as Google’s 25-30% and approaching Microsoft’s 35-40%. That’s not reckless speculation — that’s elite capital allocation on a $6.4 trillion invested base.

So why does the market keep freaking out? Because of the J-curve. ROIC doesn’t cross a 12% cost-of-capital threshold until around year nine or ten. In the meantime, these companies are consuming capital faster than they’re returning it. Every time revenue growth wobbles, Wall Street prices in dot-com panic.

But there’s a crucial difference between the hyperscalers and everyone else in this trade. Microsoft generates $90+ billion in free cash flow annually. Amazon has AWS. Alphabet has Search. Meta has advertising. These companies can fund the J-curve from operating cash flow without breaking a sweat. The J-curve that could destroy over-leveraged pure-play AI infrastructure companies is merely uncomfortable for these giants.

The bottom line: if you’ve been watching AI stocks chop around and wondering whether the whole thing is overhyped, the napkin math says otherwise. A $7 trillion revenue opportunity backed by a 28% ROIC doesn’t scream bubble — it screams generational setup. The current market anxiety might just be your best entry point.

Wall Street has a $700 billion question on its hands: Are the five biggest hyperscalers — Microsoft, Amazon, Alphabet, Meta, and Oracle — building the future, or torching shareholder capital at a rate of $2 billion per day?

On the surface, the number is staggering. $710 billion in AI-related capital expenditures this year alone, flowing into data centers, GPUs, fiber, energy infrastructure, and cooling systems. That’s more than the GDP of most countries. And every time an earnings report shows revenue growth that doesn’t perfectly match the capex pace, the “dot-com bubble 2.0” crowd comes out swinging.

But here’s what the skeptics keep getting wrong: they’re measuring today’s returns against tomorrow’s infrastructure. And when you actually run the math — carefully, with realistic assumptions — the spending starts looking less like recklessness and more like one of the greatest capital allocation stories in modern corporate history.

The AI revenue opportunity breaks down into three engines. First, consumer subscriptions — ChatGPT Plus, Claude Pro, Gemini Advanced — which could scale to roughly $120 billion annually as global penetration grows. That’s real money, but it’s the appetizer.

The main course is enterprise AI. There are 560 million knowledge workers globally representing $32 trillion in annual labor costs. AI doesn’t need to replace them — it just needs to automate 40% of their output. At a 20% value-capture rate (consistent with historical enterprise software pricing), that’s $2.56 trillion in annual revenue. And that’s the mid-case estimate.

Then comes physical AI — robots directed by the same intelligence models, deployed across manufacturing, logistics, agriculture, and healthcare. The global physical labor market runs $39 trillion annually. Robot-as-a-Service is already emerging (see Figure AI’s BMW deal, Amazon’s warehouse buildout, Tesla’s Optimus). Conservative projections put this at $4 to $5 trillion at maturity.

Add it all up: roughly $7 trillion in total addressable revenue. That’s 10x what the hyperscalers are spending on capex this year.

Now the critical question — margins. Consumer AI should converge toward 50-60% operating margins (it’s basically software). Enterprise AI sits around 35-45%. Physical AI runs lower at 20-30% because robots depreciate, need maintenance, and consume energy. Blended across the full revenue base, that’s roughly 32% operating margin, yielding about $1.77 trillion in annual after-tax profit at maturity.

For perspective: the entire S&P 500 currently generates about $1.5 trillion in annual after-tax earnings. The AI stack alone could surpass that, concentrated among maybe a dozen companies.

The calculated ROIC on cumulative net invested capital? Approximately 27-28% — right in line with Google and approaching Microsoft’s territory. That’s not a bubble. That’s generational compounding.

The catch? We’re deep in the J-curve right now. Returns won’t cross the 12% cost-of-capital hurdle until roughly year nine or ten. For the next several years, the spending will look ugly on a trailing-returns basis. And that’s exactly why the market is nervous — it’s pricing short-term pain into stocks that are playing a 20-year game.

But there’s a crucial distinction: the hyperscalers aren’t some overleveraged startups sweating their next funding round. Microsoft generates $90+ billion in free cash flow annually. Amazon has AWS. Alphabet has Search. Meta has advertising. They can fund this J-curve from existing operations without breaking a sweat.

The companies that should worry? The pure-play infrastructure borrowers financing AI buildouts with expensive short-duration capital. They’re the ones the J-curve will eat alive.

For investors, the takeaway is straightforward: the current choppiness in AI-related equities isn’t a sign that the thesis is broken. It’s what a J-curve looks like from the inside. And if the math is even directionally right, these prices will look like a gift in hindsight.

Nvidia just delivered the kind of quarter most companies would frame and hang on the wall. Revenue of $68.1 billion, up 73% year-over-year. Net income of $43 billion — that’s $330 million in profit per day. Data center revenue alone hit $62.3 billion, accounting for 91% of total sales and blowing past the $60.7 billion Wall Street expected. First-quarter guidance came in at $78 billion, above even the most optimistic buyside whispers.

And the stock dropped 5.5%, erasing roughly $260 billion in market value in a single session. That’s more than the entire market cap of most S&P 500 companies — gone in a day.

Welcome to the new normal for Nvidia, where beating earnings is the bare minimum and anything short of a miracle gets punished. Over the past five quarters, the stock has tripled on the back of relentless beats. Options markets had priced in just 5.6% implied move — the lowest in three years — signaling that the “beat” was already baked in. Without a genuine upside surprise beyond the surprise everyone expected, there was nothing left to buy.

The real concern isn’t what Nvidia reported — it’s what it didn’t say. Investors wanted clarity on 2027 growth, and the earnings call didn’t deliver it. The $100 billion OpenAI partnership deal, once seen as a lock, now has “no assurance” language buried in Nvidia’s 10-K filing. Meanwhile, a broader anxiety is building around whether the AI capex boom is sustainable. Hyperscalers like Microsoft, Amazon, Google, and Meta are expected to spend over $1.1 trillion on AI infrastructure in 2026, but the downstream monetization hasn’t caught up. Bank of America’s latest fund manager survey flagged high AI capex as the second-largest systemic credit risk.

There’s also the inference question. As the industry shifts from training AI models (Nvidia’s sweet spot) to running them at scale, competitors could chip away at Nvidia’s dominance. Fundstrat’s Hardika Singh noted that Nvidia “missed on easing investors’ concerns about its narrowing moat in the evolving world of compute.” Jensen Huang pushed back, highlighting that the upcoming Vera Rubin architecture is specifically designed for inference workloads — but markets aren’t in the mood for patience.

Broadcom dropped 3%, Taiwan Semiconductor fell 2.8%, and the entire chip complex felt the gravity. The S&P 500 and Nasdaq both stumbled, weighed down by the sector that’s been carrying them for two years.

Here’s the thing, though: 61 out of 66 analysts still rate Nvidia a buy, with an average price target implying 37% upside. Janus Henderson’s Richard Clode called the $78 billion guidance “well ahead of even the most bullish expectations” and noted it marks the fourth straight quarter of accelerating growth. At a P/E of 48.5x — steep, but not insane for a company growing revenue 73% annually — the valuation math still works if the AI spending cycle holds.

The real takeaway isn’t that Nvidia is broken. It’s that the stock has become a barometer for the entire AI trade, and right now, that trade is running on emotion, not logic. When the best earnings report in the company’s history triggers a $260 billion wipeout, you’re not trading fundamentals anymore — you’re trading sentiment. And sentiment, unlike Nvidia’s revenue growth, can turn on a dime.

Something strange is happening on Wall Street. While headlines fixate on Nvidia earnings and AI hype cycles, American investors are doing something they haven’t done at this scale in over 16 years: pulling their money out of U.S. stocks and shipping it overseas.

The numbers are jarring. In just the first eight weeks of 2026, U.S.-domiciled investors yanked $52 billion from domestic equity products — the largest outflow for that period since at least 2010. Zoom out six months and the total hits $75 billion, according to LSEG/Lipper data. This isn’t a trickle. It’s a full-blown rotation.

Where’s the money going? Everywhere that isn’t the S&P 500, apparently. Bank of America’s February fund manager survey showed investors switching from U.S. to emerging market equities at the fastest clip in five years. South Korea led the way with $2.8 billion in inflows, followed by Brazil at $1.2 billion. In total, $26 billion has flowed into emerging market equities since January.

The performance gap tells the story. Over the last 12 months, the S&P 500 has returned about 14%. Decent in a vacuum — but Seoul’s KOSPI has doubled. Tokyo’s Nikkei is up 43% in dollar terms. Europe’s STOXX 600 surged 26%. Even Shanghai’s CSI 300 posted 23% returns. If you were parked exclusively in U.S. equities, you missed the party happening everywhere else.

Valuations add fuel to the fire. The S&P 500 still trades at roughly 21.8 times forward earnings. Europe? Around 15 times. Japan sits at 17. China is a bargain-basement 13.5 times. When UBS’s head of European equity strategy says his U.S. wealth clients are “all talking about investing more offshore,” you know the narrative is shifting fast.

The weakening dollar — down about 10% against a basket of currencies since January 2025 — makes this rotation even more interesting. Yes, it’s more expensive to buy foreign assets. But the returns on those assets, converted back to dollars, get a nice tailwind. European bank stocks alone ripped 67% higher last year and are still climbing in 2026.

Here’s the kicker: since Trump’s inauguration, U.S. investors have poured nearly $7 billion into European equity products. During his entire first term from 2017 to 2021, they pulled out $17 billion. That’s a complete reversal in sentiment.

Does this mean you should dump your U.S. holdings tomorrow? Not necessarily. But the “buy America” trade that worked almost effortlessly since 2009 is showing cracks. The smart money isn’t panicking — it’s diversifying. And when the biggest rotation in 16 years is underway, the worst thing any investor can do is pretend it isn’t happening.

NVIDIA drops its fiscal Q4 2026 earnings after the bell today, and it’s not an exaggeration to say this single report could set the tone for tech stocks for the rest of the year. Wall Street expects $65.7 billion in revenue — a 67% jump from a year ago — with earnings per share around $1.53, up roughly 72%. Those are staggering numbers for any company. For NVIDIA, it’s just another Tuesday.

The real story isn’t whether NVIDIA beats estimates. Prediction markets are pricing in a 94.5% probability it clears the $1.52 EPS bar, and the company has beaten for twelve straight quarters. The question that actually matters: how big is the Blackwell supercycle, and is the best yet to come?

Here’s what makes this quarter different. CEO Jensen Huang has described demand for NVIDIA’s next-generation Blackwell chips as “off the charts” and “insane,” with clouds “sold out” and GPU capacity fully utilized across Blackwell, Hopper, and Ampere generations. The company has $350 billion in Blackwell and Rubin pipeline through the end of calendar 2026. Meanwhile, every major hyperscaler is throwing money at AI infrastructure at a pace that’s shocked even the bulls — Meta guided $115 billion to $135 billion in capex, Alphabet $175 billion to $185 billion, and Amazon a jaw-dropping $200 billion. Every one of those dollars flows upstream to NVIDIA’s top line.

Gross margins will be closely watched. NVIDIA is targeting 75% non-GAAP for the quarter, up from 73.6% last quarter. Holding margins in the mid-70s while ramping Blackwell production at scale would silence bears who’ve argued that rising input costs and supply chain complexity will squeeze profitability. CFO Colette Kress has committed to maintaining this margin profile into fiscal 2027 — a pledge investors will want to see backed up with numbers.

Then there’s the China wildcard. NVIDIA has guided zero data center compute revenue from China for this quarter, after H20 chip sales came in at just $50 million in Q3. Any thaw in export restrictions or traction with workaround products would represent pure upside that’s not baked into a single analyst model.

But the real fireworks will come from guidance. Wall Street expects NVIDIA to guide Q1 fiscal 2027 to roughly $71 billion in revenue. If the company surprises above $75 billion — which some analysts believe is possible given the hyperscaler spending surge — expect a wave of upward revisions across the street. Loop Capital Markets already models $9.56 in fiscal 2027 earnings, well above the consensus $7.76. If tonight’s guidance supports that kind of trajectory, the stock could break out of the $180-range it’s been stuck in.

One note of caution: Fundstrat’s Mark Newton has warned about a potential “false breakout” if the numbers merely meet expectations without a blowout guide. After a 47% run year-to-date, good-not-great may not be good enough.

For investors, the playbook is straightforward. This isn’t just an NVIDIA earnings call — it’s a referendum on the AI capital cycle itself. Strong numbers and a raised outlook validate every hyperscaler’s spending plan and lift the entire AI ecosystem, from server makers like Super Micro and Dell to chip foundries like TSMC. A disappointment would send tremors through a sector that’s priced for perfection. Either way, this is one report you don’t want to miss.

IBM just had its worst single-day drop in over 25 years — a 13.15% plunge that sent shares to $223 and erased roughly $30 billion in market value. The culprit wasn’t bad earnings, a CEO scandal, or a geopolitical crisis. It was a software tool.

Anthropic announced that its Claude Code tool can now automate the modernization of COBOL — the ancient programming language that still powers roughly 95% of ATM transactions and the core infrastructure of nearly every major bank and insurance company on the planet. IBM has built an empire around maintaining, consulting on, and housing this legacy code on its mainframes. If AI can do that job automatically, two of IBM’s most stable and lucrative revenue streams — legacy modernization consulting and mainframe infrastructure — face serious questions.

Month-to-date, IBM is now down about 27%, putting it on pace for its worst month since 1992. The market’s message was blunt: if COBOL modernization gets automated, IBM’s consulting gravy train could derail fast.

But here’s where it gets interesting. Wall Street doesn’t agree with the panic. The average analyst price target still sits at $327, implying nearly 50% upside from current levels. And IBM isn’t exactly a sitting duck — the company already has its own Watsonx Code Assistant for Z, specifically targeting COBOL modernization. In other words, IBM saw this coming and has been quietly building its own answer.

The fundamentals paint a more nuanced picture than the stock chart suggests. Revenue grew 4.5% over the last 12 months to $65 billion. The most recent quarter posted 9.1% year-over-year growth — actually outpacing the S&P 500’s 7.5%. Operating cash flow margins sit around 20.6%, and the company holds $15 billion in cash. At today’s beaten-down price, IBM trades at a price-to-free-cash-flow ratio of 17.8 versus the S&P 500’s 21.7 — making it technically cheaper than the broader market.

The real question for investors isn’t whether AI threatens COBOL maintenance revenue — it clearly does. The question is whether that threat justifies a 27% drawdown in a company generating $65 billion in revenue, paying a healthy dividend, and pivoting hard toward hybrid cloud and AI. History offers some reassurance: during the 2022 sell-off, IBM fell 20% and recovered by November. During COVID, it dropped 39% and bounced back by late 2022.

One AI tool didn’t kill the mainframe. But it did give investors a rare chance to reassess Big Blue at prices not seen in years — with nearly every analyst on Wall Street saying the market got this one wrong.

On Friday, the Supreme Court did something Wall Street had been anticipating for months — it struck down President Trump’s sweeping IEEPA tariffs in a decisive 6-3 ruling, declaring the president had overstepped his emergency powers. Markets popped immediately. The S&P 500 climbed 0.7%, the Nasdaq surged 0.9% to snap a brutal five-week losing streak, and for a brief moment, the trade war felt like it was actually over.

It wasn’t. Before the ink was dry on the ruling, the White House announced a fresh 10% tariff under the Trade Act of 1974 — a completely different legal authority the Court didn’t touch. Over the weekend, reports surfaced that the administration is already mulling an increase from 10% to 15%. Futures opened lower Monday, with the S&P 500 sliding about 0.5%, reminding everyone that tariff whiplash remains the defining feature of this market cycle.

But here’s where it gets interesting for traders. The ruling triggered a massive refund question that nobody on Wall Street can agree on. Morgan Stanley pegs the potential refund at roughly $85 billion. RSM’s chief economist says $100 to $130 billion. Raymond James went all the way to $175 billion, matching a University of Pennsylvania model. That’s real money flowing back to importers — and retailers in particular. The National Retail Federation is already calling it an “economic boost,” urging the lower courts to expedite refunds so companies can “reinvest in their operations, their employees, and their customers.” Justice Kavanaugh, though, offered a more candid assessment of the refund process: a “mess.”

The timing of this ruling couldn’t be more relevant for the week ahead. Home Depot reports earnings Tuesday, followed by Lowe’s and TJX on Wednesday. These are exactly the tariff-sensitive retail names that stand to benefit most from potential refunds and the removal of IEEPA duties. Analysts at RSM flagged “enormous potential winners” in the retail and manufacturing sectors. The question for each of these earnings calls will be straightforward: how much did tariffs actually cost you, and what’s the refund math look like?

Meanwhile, the macro backdrop is complicated. The PCE inflation report that dropped Friday showed core prices running at a 3% annual rate — hotter than expected and well above the Fed’s 2% target. Q4 GDP came in at a sluggish 1.4%, though the longest government shutdown in history deserves most of the blame there. The Fed is now expected to hold rates steady until at least July, with markets pricing in two cuts for 2026 and roughly 40% odds of a third. Losing the IEEPA tariffs removes about half a percentage point of inflationary pressure, according to central bank estimates — a modest tailwind, but not the game-changer bulls were hoping for.

The bottom line: tariffs got killed by the Supreme Court and immediately came back as a zombie under different legal authority. The refund bonanza could be enormous — or could get tied up in courts for years. Retail earnings this week will be the first real-time test of who benefits and who’s still stuck paying import taxes. Keep your eyes on those calls. The market just entered a new chapter of trade policy uncertainty, and the winners are the companies that hedged smartly and the traders who stay nimble.

In what might be the most dramatic 24 hours in trade policy history, the Supreme Court struck down a massive chunk of President Trump’s tariff agenda on Friday — and Trump responded by making them even bigger.

The 6-3 ruling found that Trump had overstepped his authority by using the International Emergency Economic Powers Act (IEEPA) to impose tariffs, effectively torching roughly 60% of his existing trade levies. Justices Gorsuch and Barrett sided with the majority, prompting Trump to call the decision “ridiculous, poorly written, and extraordinarily anti-American.” Within hours, he slapped a 10% global tariff under Section 122 of the Trade Act of 1974 — a different legal tool that allows temporary levies for 150 days without Congressional approval. By Saturday morning, he’d already bumped it to 15%, “effective immediately.”

For investors, the whiplash is the point. Markets rallied Friday on the initial ruling, with stocks glossing over weak GDP data (Q4 came in at just 1.4% annualized) and a core inflation reading that held stubbornly at 3%. The hope? That dismantling the IEEPA tariffs could mean lower prices, potential corporate refunds, and one fewer headwind for the Fed to worry about. Estimates on what the government might owe in refunds range from $85 billion (Morgan Stanley) to a staggering $175 billion (Raymond James and a University of Pennsylvania model). That’s real money flowing back to importers — and potentially, to their shareholders.

But here’s the wrinkle nobody should ignore: the tariffs aren’t actually going away. Trump is simply rerouting them through a different legal channel. The 15% global levy is real, and the administration has signaled more “legally permissible” tariffs are coming in the months ahead. TD Cowen’s Chris Krueger expects 2026’s tariff strategy to be “all gas, some temporary brakes.”

The Fed is watching closely. Rate-cut expectations barely budged after the ruling — traders still expect two cuts this year, with July now looking more likely than June for the next move. The court decision removes one inflationary pressure, but Trump’s counterpunch adds a new one. It’s a wash, for now.

What should investors do heading into Monday? First, watch the State of the Union address on Tuesday — Trump is likely to use it as a tariff megaphone. Second, keep an eye on retail and manufacturing stocks, which RSM’s chief economist flagged as “enormous potential winners” from the refund scenario. Third, don’t assume the volatility is over. The legal battle is just shifting venues, and Trump has made it clear he’ll use every tool in the toolbox to keep tariffs alive. The only thing that’s certain is that trade policy will keep making headlines — and moving markets — for months to come.