January Fed Meeting Breakdown | Jack Farley & Max Wiethe on Powell, Banks, and China's AI Race

Episode Summary

Executive Summary: The episode centered on a nuanced read of the Fed’s January meeting, with hosts concluding it was broadly neutral to slightly hawkish and likely consistent with no March rate cut. They then pivoted to the market shock from China’s DeepSeek AI model, arguing it could deflate AI capex expectations and hurt chip/picks-and-shovels stocks while benefiting end-user AI firms. The conversation also covered tariffs, stagflation risk, immigration, term premium, and why bank earnings still signal resilience beneath macro noise.

Main Topics: Fed meeting: neutral to slightly hawkish, but no major market surprise (Priority: 5/5): The hosts dissected Powell’s press conference and the statement language, concluding the initial hawkish interpretation was mostly walked back and markets ultimately returned near pre-meeting levels. The main takeaway was that the Fed appears in no rush to cut, especially in March. Inflation, PCE, and the March rate-cut outlook (Priority: 5/5): They discussed upcoming PCE inflation and payroll data as the next key inputs. The bond market’s reaction and Powell’s language suggested March cut odds fell, while December remained less affected. DeepSeek and the reassessment of AI capital spending (Priority: 5/5): The biggest market-moving theme was China’s DeepSeek model, which raised doubts about the need for enormous AI infrastructure spending. The hosts debated whether this is a genuine efficiency breakthrough or part of a market/manipulation narrative. Tariffs, stagflation, and Fed uncertainty under Trump (Priority: 4/5): A major concern was how tariffs, deportations, and immigration policy could affect growth, inflation, and the Fed’s reaction function. Powell avoided giving answers, leaving open the possibility of stagflationary pressure. Term premium and long-end rates (Priority: 4/5): Powell framed higher long-term mortgage rates as mostly a term premium story rather than a shift in future rate expectations. The hosts linked this to Treasury supply and the possibility of longer-duration issuance. Bank earnings as a micro lens on the macro (Priority: 4/5): The discussion closed with why bank earnings matter: they can reveal credit conditions and consumer health before the macro data do. The hosts argued banks are showing better credit quality than recession narratives imply, despite pockets of stress in CRE and some lenders.

Key Arguments: The Fed statement initially looked hawkish because it removed language about more progress on inflation and said unemployment had stabilized, but Powell clarified this was just wording cleanup. Bond market pricing after the meeting implied a lower probability of a March cut; the hosts read Powell’s “in no hurry” comments as a signal supporting that view. Upcoming PCE and payroll data will be critical to testing whether inflation is still moving toward target and whether labor-market strength is real after census adjustments. DeepSeek may indicate AI can be built more efficiently, which is bearish for NVIDIA, electricity, networking, and other AI capex beneficiaries, but potentially bullish for firms selling finished AI products. There is a plausible narrative that some China-linked AI exports and chip routing through Singapore may have allowed advanced chips to reach China despite restrictions. Tariffs could be inflationary, but they may also slow growth; the Fed itself does not yet seem able or willing to clearly define the policy reaction. Powell’s refusal to address tariffs, deportations, and executive-branch effects underscores unusually high policy uncertainty. Higher long-term rates appear driven more by term premium than by a surge in expected growth or inflation, suggesting supply/demand forces matter more than the Fed path. Bank earnings are still showing relatively benign credit trends, especially versus the severe recession/CRE collapse many expected. Interest-rate risk has improved for banks as funding costs ease, even though pressure remains in certain institutions and commercial real estate exposures.

Data Points: 10-year Treasury yield: 4.554% to 4.59% intraday, then back near pre-meeting levels - Moved higher after the Fed statement, then retraced after Powell’s clarification. 2-year Treasury yield: 4.21% to 4.25% - Rose more than the 10-year, contributing to a modest flattening move in the curve. March no-cut probability: 70% to 80% - Bond market odds shifted toward no rate cut in March after the FOMC meeting. NVIDIA stock move: -17% on Monday; another ~4% lower on the day of the conversation - Selloff tied to the DeepSeek news and broader repricing of AI capex expectations. Market cap lost by NVIDIA: Over $0.5 trillion in one day - Described as the biggest single-day market-cap loss ever, by far. DeepSeek claimed cost: $6 million - A point the hosts discussed as potentially understated or misleading. Alibaba cloud pricing cut: 97% - Used as another example of Chinese AI-related deflationary pressure. PCE forecast: 17 basis points - One economist forecast cited for December PCE inflation, annualizing near 2%. Tariff historical comparison: 110 years - A claim that proposed tariff levels would be the highest since around 1912. Treasury yield move in 1990s/2000s comparison: Term premium still far below 1990s/most of 2000s levels - Used to argue that higher term premium is elevated but not alarming. Public bank failures referenced: 5 - Silicon Valley Bank, Signature Bank, First Republic, Republic First, and Silvergate were named. Fed uncertainty: Unusually high - Based on the December Summary of Economic Projections and the policy environment.

Pivotal Quotes: "The ECB is ready to do whatever it takes to preserve the euro. And believe me, it will be enough." — Jack Farley: Opening reference framing the episode in central-bank language and market urgency. "This is a nothing burger compared to Monday's sell off." — Max Wheatley: Characterizing the Fed meeting as less market-moving than the prior AI-driven selloff. "I think that what came out of China is bad for the beneficiaries of artificial intelligence capital expenditures." — Max Wheatley: Core thesis on how DeepSeek could pressure AI infrastructure and chip stocks.

Implications: Markets may be repricing both the Fed path and the AI investment boom. If inflation stays tame and DeepSeek lowers AI costs, winners may shift from capex providers to product-layer AI firms, while tariffs and policy uncertainty keep stagflation risk alive.