MacroTalk 2026.10.30

Macro and Market Summary

Markets were relatively calm early in the week, then moved after the FOMC meeting and Alphabet’s earnings release. The speakers said Alphabet missed expectations for EPS, revenue, and capital expenditure, and attributed much of the week’s market focus to AI-related news.

The FOMC described growth as strong, but its stance offered little clarity about the policy path. During the meeting, the yield curve steepened: 2-year Treasury yields fell, while longer-term bonds sold off.

Bob Elliott said recent market action suggested a possible shift away from peak nominal growth. In his view, weaker growth expectations have sometimes lifted bonds without helping stocks—a potential sign that markets are reassessing growth, not just inflation.

The speakers described a more stagflationary market regime emerging over the prior three weeks: slowing growth alongside persistent or accelerating inflation. They cautioned that even a mild, short-lived stagflationary environment can provoke a strong policy and market response.

Market trends were described as mixed:

• U.S. equities: Shifted from a strong uptrend toward a neutral zone.
• Bonds: Had rallied over recent weeks, but the medium-term trend had not clearly turned.
• Commodities: Remained in a strong trend despite a recent sell-off; energy was still a major source of strength.
• Global fixed income: Generally remained under more pressure than U.S. bonds. French government bonds were weighed down by budget concerns, while Japanese government bonds had performed relatively well.
• Global equities: Performance was dispersed, with AI-linked markets and resource-rich countries such as Canada doing relatively better than weaker-growth markets facing higher-rate pressure.

Economic Data and Central-Bank Outlook

• U.S. consumer: Real PCE was effectively flat in September. The speakers also pointed to weak income growth: ECI and average hourly earnings were at cycle lows, and September payroll compensation was cited at 0.2%. The savings rate had fallen sharply as households maintained nominal spending.
• Housing and equities: Both had been broadly stable since early June, raising the question of whether households can keep drawing down savings without further asset-price gains.
• ECB and euro area: The discussion cited 1.6% year-over-year growth, historically low unemployment, and 3.8% inflation. The ECB made no policy change; the speakers criticized the limited tightening response.
• Bank of Japan: Left policy unchanged and said it had achieved its 2% inflation target. Japanese 2-year bonds were around 1.9%, which the speakers said already reflected substantial expected tightening.
• Australia: Inflation was higher than expected at 4.3%, while private-sector lending growth was 8.4%. The speakers expected pressure on the RBA to tighten.
• Canada: Rates had risen, while growth data continued to weaken.
• United Kingdom: The speakers cited 2.1% GDP growth and 3.5% inflation, and expected the Bank of England to tighten.

The speakers questioned whether central banks have changed their reaction functions, are simply responding late, or may avoid further tightening if nominal growth slows enough to bring inflation down.

AI Investment and Financial Risks

The discussion focused on the gap between current AI-related revenue and the scale of future investment commitments:

• AI models were estimated to generate about $150 billion in annual revenue.
• Total future commitments across the ecosystem were estimated at about $6 trillion.
• Expected spending was described as rising to roughly $1.5 trillion by 2028.
• Hyperscaler long-term debt issuance, previously negligible, was said to have risen to roughly $400–500 billion annually.

The speakers emphasized that financing is not limited to bonds and loans. Long-term procurement contracts and commitments can drive investment today in anticipation of future demand. If that demand fails to materialize, investment and expectations could weaken across data centers, computing, and hardware.

They argued that the ecosystem ultimately depends on real-economy customers’ ability to pay—principally through free cash flow, unless AI delivers exceptional productivity gains. The scale of implicit commitments, they argued, may be much larger than visible borrowing.

A potential downside chain discussed was:

Greater financing needs → higher risk premiums → lower expected returns or earnings expectations → weaker investment and asset prices.

The speakers framed this as a risk scenario, not a certainty.

Historical Market Framework and Portfolio Implications

The speakers’ historical analysis of rate-hiking cycles suggested that equity markets have often peaked during a hiking cycle or as late as 21–24 months afterward. They identified two common pressures:

1. Policy tightening and its effect on stock valuations and cash flows.
2. A subsequent downward reassessment of growth expectations.

Their stated warning sign for a possible bear market is both policy pressure and deteriorating growth expectations. Policy pressure alone may produce a valuation or risk-premium adjustment without a deep growth-driven downturn.

In response to a question about a possible 20% equity decline following lower capital spending, Bob said a weaker growth outlook could reduce pressure on central banks to raise rates. He assessed that scenario as a greater-than-30% possibility. The other speaker suggested a 20% drop might not be necessary; given current sensitivity, a decline closer to 10% could potentially have meaningful effects. They said this was still being modeled.

Bonds and Diversification

Bob maintained that bonds could remain tactically unattractive if growth stays strong and further rate hikes are likely—his “bonds are the worst” view. He clarified that this was not a rejection of bonds’ diversification role: bonds may still rally when growth weakens or AI-related equities fall.

He cautioned against relying on bonds as the only diversifier, and mentioned gold and commodities as other possible sources of diversification.

No firm recommendation was made to buy or sell equities. The speakers said the key question for equity exposure is whether growth expectations begin to deteriorate alongside policy pressure.

Upcoming Events

The speakers highlighted the following for the coming week:

• U.S. elections, employment data, and the Treasury’s Quarterly Refunding Announcement (QRA), with attention to whether the issuance profile changes.
• The next employment report. Jobless claims were described as a useful leading indicator, and the speakers cautioned that wage growth may be a better gauge of labor-market tightness than the unemployment rate alone.
• Korean exports: Consensus was cited at 93% year-over-year growth, as a gauge of the AI-related trade cycle.
• A possible Bank of England tightening decision and the RBA outlook.

Assets, Instruments, and Sectors Mentioned

• Equities: Alphabet, Samsung, broad global and U.S. stocks, and AI-related equities.
• ETFs and tickers: SPY and TLT were explicitly named in a chart comparison.
• Bonds: U.S. Treasuries, French government bonds, Japanese government bonds, and global fixed income.
• Commodities: Oil, energy, nickel, gold, and commodities broadly.
• Sectors and themes: AI models, hyperscalers, data centers, computing infrastructure, hardware, and resource and raw-material producers.

Disclosures

• No explicit “not financial advice” disclaimer was stated.
• The episode included promotional segments for Griot’s Garage and Fruit Riot; these were advertisements rather than investment recommendations.

Presenters and Sources

• Presenters: Bob Elliott and Achan.
• Research and source references: Prometheus Research; Bob Elliott’s Substack writing; analysis of historical rate-hiking cycles and market regimes.
• The speakers also referenced Fed officials Jerome Powell and Christopher Waller, and ECB President Christine Lagarde.