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Donald Trump Hosts Hispanic Roundtable In Nevada
And YOU get a tariff and YOU get a tariff (Ethan Miller/Getty Images)
The POTUS Who cried tariff

Three reasons why investors are brushing off Trump’s tariff threats

If the president-elect really cares about the stock market, investors wager the pro-growth policies will come before trade tensions escalate.

Luke Kawa

The big stock-market news of the day is what’s not happening.

After President-elect Donald Trump posted messages on Truth Social warning Canada, Mexico, and China that they’d face across-the-board tariffs if their politicians didn’t stop the flow of people and drugs into the US, the stock market is… up.

Levies of 25% on Canadian and Mexican imports and 10% on China would be a more impactful trade policy than anything Trump pursued during his first term in office.

So why are stock-market investors seemingly shrugging this off? I can think of three potential reasons.

Investors either:

  1. Are unwilling to price in Trump policies that are negative for the stock market, given his focus on that as a yardstick;

  2. Think any “sticks” in the policy agenda won’t be on the horizon until after the “carrots”;

  3. Or remember that the 2018 trade war was not really the proximate cause of the weakness in stocks that year.

Hot-air cycle

Market participants don’t just think of Trump as the incoming POTUS. He’s also the SOTSAP: Steward of the S&P 500.

Over at Bloomberg, Joe Weisenthal has discussed the idea of “stock market vigilantes.” To summarize, politicians have their policy options constrained by Americans who are either indirectly or directly equity owners and need those asset values to rise to feel comfortable about their current and future financial situations.

Right now, investors are left in a bit of an information vacuum. Reasonable and intelligent people can (and do) disagree on whether this is merely a negotiating ploy, something that has a high likelihood of being carried out on January 20, and what, if any, remedies might be needed to avoid it. The stock market’s initial verdict seems to hinge on the memory of a low follow-through rate on policy announcements made through social media during Trump’s first term.

“We (continue to) believe that Trump will not implement these tariffs on day 1, as the pain to the US economy would be too great (as Trump himself recognized during his first term, in walking back his then similar threat),” Andrew Bishop, global head of policy research at Signum Global Advisors, said in a note.

“Trump linking tariffs to drugs and immigration, rather than trade policy/FX/economics signaled to investors that this announcement is a negotiating tactic,” 22V Research chief market strategist Dennis Debusschere said. “Not a policy tool.”

But if you subscribe to the “stock market vigilante” thesis — and add on to that the memory of the Trump administration looking at the stock market as a real-time report card — that leaves you in a bit of a tricky position. The rational move is to buy any dip from a policy announcement that might be bad for the markets out of a strong belief that the administration won't follow through with it simply because of the negative market consequences. Effectively, it’s conditioning investors to react late to negative catalysts.

This is a miniature version of Hyman Minsky’s “stability breeds instability” argument, and the ensuing “Trump Hot-Air Cycle” looks a little something like this:

Trump Hot Air Cycle
Source: Sherwood News

What’s needed to break this cycle? Well, action that everyone was warned about but no one thought was coming, probably.

Opening sequence

What this may be for investors is a bit of a shot across the bow, a wake-up call when it comes to policy sequencing. There is an embedded presumption, based on Trump’s first term, that he will pursue market-friendly and pro-growth policies to “prime the pump,” so to speak, ahead of more disruptive measures on trade.

The landmark policy achievement in 2017 was the Tax Cuts and Jobs Act, which caused earnings estimates and major stock indexes to explode higher at the beginning of 2018. Afterward, tariffs moved to the front of the agenda. With that framing in mind, it’s not overly surprising that the market reaction to the election has largely been “price in good things — M&A! Deregulation! Maybe even more tax cuts! — first, and don’t worry about potential bad things until the good things have happened.”

Well, Monday’s truth bomb suggests that policy priorities may be different this time around.

“Our overall read is that tariffs are clearly at the top of the Trump agenda,” wrote George Saravelos, global head of FX research at Deutsche Bank. “We see an implicit signal that they are likely to be used as a broad-based economic and geopolitical tool in this Administration.”

Relitigating 2018

Here are the facts: US stocks went down in 2018. They went down by less than global stocks. And more domestically oriented US companies performed better than those without lots of international exposure. Unsurprisingly, US stocks with a high share of sales to China did the worst.

It’s possible to look at this picture, say “trade war!” and be done with it. But you can also explain much of this price action through macroeconomic trends that are largely independent of trade policy. 

To oversimplify, stocks fell in 2018 as the profit outlook dimmed. The trade war was negative for the stock market through the announcement effects (simply, bad news = sell stocks) and because it was a contributor to the rise in the US dollar, which hurts multinationals’ earnings power. 

However, the greenback’s rally was more complicated than that: policy-rate differentials between the US and other countries were growing because the Federal Reserve was hiking rates amid stronger domestic growth and inflation outcomes.

That’s the positive US dollar story reinforced by a negative story for the rest of the world: a lackluster environment for global growth due to a lack of fiscal policy support in Europe and especially China. That Chinese economic slowdown in 2018 was much more a function of internal choices — dialing back on its credit-supported growth model — than external forces.

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Trump says he has ordered all federal agencies to cease use of Anthropic’s products

President Trump said he has ordered all federal agencies to IMMEDIATELY CEASE all use of Anthropic’s technologyas the AI startup and the federal government disagree over safety guardrails.

Anthropic has reportedly clashed with the Pentagon after its tools were used to surveil and ultimately detain Venezuelas president, Nicolás Maduro, which the company says is against its policies. The startup had until today to reach a deal with the government, and the presidents statement suggests an accord wasnt reached.

The Leftwing nut jobs at Anthropic have made a DISASTROUS MISTAKE trying to STRONG-ARM the Department of War, and force them to obey their Terms of Service instead of our Constitution, the president wrote in a Truth Social post. Their selfishness is putting AMERICAN LIVES at risk, our Troops in danger, and our National Security in JEOPARDY.

Trump said agencies like the Pentagon will phase out Anthropics products over the next six months.

Anthropic better get their act together, and be helpful during this phase out period, or I will use the Full Power of the Presidency to make them comply, with major civil and criminal consequences to follow, Trump said.

markets

Rocket Lab dives on new delay for Neutron

Shares of retail favorite Rocket Lab plunged Friday after the company pushed back plans for the first launch of its bigger Neutron rocket to the fourth quarter of 2026.

Neutron was originally set launch in late 2025. That plan was scrapped in November, with the new target date set broadly for the middle of 2026.

As CEO Peter Beck laid out for Sherwood News in an interview, Neutron is the cornerstone of the money-losing company’s plans to leap to profitability, as it will enable Rocket Lab to enter the market for larger, and more lucrative, payload launches. That market is currently dominated by Elon Musk’s SpaceX.

In January, one of Neutron’s fuel tanks ruptured during a test, necessitating construction of another, as well as some design changes. During the company’s post-earnings conference call last night, Beck told analysts Neutron’s first launch is now expected during the fourth quarter of 2026.

“Neutron is still scheduled to come to market in an incredibly aggressive time frame,” Beck said.

Judging by the stumble for the shares, which by around 1:30 p.m. ET were on track for their worst drop since last fall, investors are not buoyed by those assurances.

As CEO Peter Beck laid out for Sherwood News in an interview, Neutron is the cornerstone of the money-losing company’s plans to leap to profitability, as it will enable Rocket Lab to enter the market for larger, and more lucrative, payload launches. That market is currently dominated by Elon Musk’s SpaceX.

In January, one of Neutron’s fuel tanks ruptured during a test, necessitating construction of another, as well as some design changes. During the company’s post-earnings conference call last night, Beck told analysts Neutron’s first launch is now expected during the fourth quarter of 2026.

“Neutron is still scheduled to come to market in an incredibly aggressive time frame,” Beck said.

Judging by the stumble for the shares, which by around 1:30 p.m. ET were on track for their worst drop since last fall, investors are not buoyed by those assurances.

markets

Dorsey swings the axe at Block in “extreme step” to “replace human labor with compute power”

The market clearly loves it. Jack Dorsey’s decision to axe some 4,000 workers has kicked off what is on track to be Block’s best day in the stock market in over three years.

The takeaways from analysts who have followed the stock — down about 80% from its August 2021 peak — are a bit more nuanced:

Evercore ISI: “Mgmt is explicitly redesigning Block as an AI-native organization — embedding automation and efficiency tools across product development, underwriting, operations, and customer interfaces. The financial implications are significant: FY26 Adjusted Operating Income guidance of $3.2B (26% margin) sits materially above mgmt’s prior expectations at the Investor Day just a few months ago, signaling confidence that AI-driven efficiencies can expand margins structurally while sustaining or potentially accelerating product velocity.”

Morgan Stanley: “Cutting 40% of employees (to ~6,000 from ~10,000) encapsulates XYZ’s undertaking that it is now prepared to replace human labor with compute power. We certainly view it as an audacious move by the management, but one that is not without preparation... The reduced headcount should now drive a marked improvement in the gross profit/employee metric, which we expect will justify expanded valuation premium.”

Piper Sandler: “Dorsey characterized the move as a proactive step to make way for AI related productivity gains. The cost saves from lower headcount drive a $500M increase in Block’s Adjusted EBIT guidance for 2026 — now $3.2B vs. $2.7B at investor day just 3 months ago. Bottom line, while the right sizing from XYZ is being well received by investors and should boost short-term profitability, it seems like an extreme step, and we remain skeptical of XYZs longer term growth profile.”

Citi: “Several times during the Q&A, the sell side probed management’s comfort with carrying out the major headcount reduction in parallel with more extensive and more effective GenAI use over a roughly two quarter timespan. On the one hand, Block seemed confident in the organization’s ability to adapt and rise to the challenge, but on the other hand, we are aware that a 40% reduction in heads should generate many empty seats. While we believe it more likely for XYZ to succeed here, we think that more reassurance can surface should XYZ continue to do as they plan.”

RBC Capital: “The main question from investors thus far — is this just legacy bloat or real AI enhancements — only time will tell, but it feels like a combination of both... While AI efficiencies no doubt played a key role in a reduction in force of this magnitude, we also believe XYZ was moving in a direction to materially shrink the organization.”

Evercore ISI: “Mgmt is explicitly redesigning Block as an AI-native organization — embedding automation and efficiency tools across product development, underwriting, operations, and customer interfaces. The financial implications are significant: FY26 Adjusted Operating Income guidance of $3.2B (26% margin) sits materially above mgmt’s prior expectations at the Investor Day just a few months ago, signaling confidence that AI-driven efficiencies can expand margins structurally while sustaining or potentially accelerating product velocity.”

Morgan Stanley: “Cutting 40% of employees (to ~6,000 from ~10,000) encapsulates XYZ’s undertaking that it is now prepared to replace human labor with compute power. We certainly view it as an audacious move by the management, but one that is not without preparation... The reduced headcount should now drive a marked improvement in the gross profit/employee metric, which we expect will justify expanded valuation premium.”

Piper Sandler: “Dorsey characterized the move as a proactive step to make way for AI related productivity gains. The cost saves from lower headcount drive a $500M increase in Block’s Adjusted EBIT guidance for 2026 — now $3.2B vs. $2.7B at investor day just 3 months ago. Bottom line, while the right sizing from XYZ is being well received by investors and should boost short-term profitability, it seems like an extreme step, and we remain skeptical of XYZs longer term growth profile.”

Citi: “Several times during the Q&A, the sell side probed management’s comfort with carrying out the major headcount reduction in parallel with more extensive and more effective GenAI use over a roughly two quarter timespan. On the one hand, Block seemed confident in the organization’s ability to adapt and rise to the challenge, but on the other hand, we are aware that a 40% reduction in heads should generate many empty seats. While we believe it more likely for XYZ to succeed here, we think that more reassurance can surface should XYZ continue to do as they plan.”

RBC Capital: “The main question from investors thus far — is this just legacy bloat or real AI enhancements — only time will tell, but it feels like a combination of both... While AI efficiencies no doubt played a key role in a reduction in force of this magnitude, we also believe XYZ was moving in a direction to materially shrink the organization.”

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Luke Kawa

The return of AI credit risk is crushing data center stocks, tipping over other speculative trades in the process

The upstarts participating in the disruptive industry of today as well as the speculative trades that mark the industries of the future are getting crushed on Friday.

It’s a sign of the creeping investor revolt against the capex binge.

The poster child for the move is CoreWeave, which is sinking after reporting Q4 capex figures that were larger than expected along with a 2026 investment budget that also surprised to the upside.

Neoclouds and data center companies like Nebius, IREN, Applied Digital, and Cipher Mining are also getting whacked. So too are the quantum computing companies: IonQ, D-Wave Quantum, Rigetti Computing, and Infleqtion.

What’s the common link between these two things?

Well, as we’ve discussed, speculative stocks tend to have common owners and trade in a relatively correlated fashion. And once again, this simultaneous swoon is coinciding with a perceived escalation in AI credit risk.

These smaller AI companies that have effectively bet their existence on this boom and the willingness of capital markets to fund their expansion plans would have the most to lose if either demand or access to credit shrinks. And, of course, the latter would impact other companies in nascent industries that need capital to grow.

The private credit industry, which has been broadly overweight software companies in their lending activities, is coming under severe pressure as those firms face competition from AI tools.

Block’s job cuts, regardless of any previous mismanagement CEO Jack Dorsey is willing to cop to, will do little to allay fears that software executives may take dramatic actions to grapple with the impacts of this emergent technology.

Meanwhile, the source of that disruption — AI — is also continuing to suck in a lot of capital without much in the way of returns. It feels like the credit market simultaneously doesn’t want to fund software because of the AI disruption threat and doesn’t want to fund upstart AI firms because of the lack of visibility into free cash flow generation. Not great, Bob!

Oracle, the large-cap stock most used as a barometer for AI credit risk, enjoyed a sharp improvement in its perceived creditworthiness after management said on February 1 that about half their funding needs this year would come from equity, rather than fully from debt. Now, its five-year credit default swap spreads are poised to close at their widest level since 2009.

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