US Companies Shed Jobs in Late October, Labor Market Momentum Slows

Labor Market Slowdown

• 📉 US companies shed an average of 2,500 jobs per week in the four weeks leading up to November 1st, indicating a loss of momentum.
• ⚠️ A significant portion, roughly 15%, of WARN notices in October may be related to temporary furloughs or job cuts.
• 🏛️ The recent government shutdown likely impacted October payroll data, with a potential bounce back expected upon government reopening.

Federal Reserve's Data Perspective

• 📊 The Fed will likely have a fuller picture for its December meeting, relying on private sector data and conversations with business contacts.
• 📚 The upcoming Beige Book will be crucial in characterizing national employment trends, with significant weight given to its assessment of whether employment is flat or declining.
• 📉 Data trickling in for November, which the Fed will consider for its December meeting, is not expected to show significant improvement, potentially increasing the chance of a rate cut.

Economic Outlook and K-Shaped Recovery

• 📈 The US economy faces both headwinds and tailwinds, with a K-shaped economy narrative expected to persist through 2026.
• 💰 Fiscal impulses from recent legislation, including tax breaks, are already showing effects, with some tax credits working through the system.
• 📉 Trade policy uncertainty is decreasing, which should ease the drag from tariffs next year.
• 🏡 The Fed is expected to continue its rate cut cycle, which should spur cyclical sectors like housing and production in the latter half of 2026.

Labor Market Lag and AI's Impact

• ⏳ The labor market is expected to lag the broader economy in recovery, with the unemployment rate potentially rising in the first or second quarter of 2026.
• 🧠 The labor market typically lags Fed moves by 18 to 24 months, and cyclical pressures are expected to contribute to a rising unemployment rate.
• 🚀 While economists anticipate a productivity boom from AI, it's often a rare event, and evidence may not be immediately apparent in aggregate data.
• 💡 Micro-level evidence suggests AI is boosting productivity in specific sectors, with broader impacts expected by 2028.