Rate hikes can slow, but tech companies’ cash flows still need checking company by company

A pause is not yet a policy decision

Waller said that if the data come in as expected, further rate hikes would still be needed, but action would not be necessary at consecutive meetings. This leaves room to adjust the pace of hikes; it does not announce an October pause and represents his personal policy judgment. Previously, on September 16, the FOMC raised rates by 25 basis points, bringing the target range to 3.75%–4.00%. The WeChat account argues that even a pause should be understood only as a slower pace of tightening. That judgment has an evidentiary basis, but its conditions must remain explicit: a pause itself has not been decided, and subsequent action still depends on the data, the economic outlook, and the balance of risks.

Evidence: [1] [2] [7]

The dot plot supports a tightening bias but cannot fix the meeting-by-meeting path

In the September dot plot, 16 of 18 participants expected further rate hikes before year-end, including four who expected two more hikes. This shows that further tightening was the policy expectation of most participants at the time, but it cannot be treated as a decision already made by the committee. Inflation data also explain this bias: BEA reported August core PCE inflation of 3.0% year over year and 0.2% month over month, while the FOMC’s longer-run inflation target remained 2%. This supports the inference that inflation will continue to constrain room for easing. But one period’s data are insufficient to establish that inflation will necessarily remain sticky, much less determine how long interest rates will stay high.

Evidence: [3] [4] [2]

The evidence for AI-driven price pressure has clear limits

Waller argued that the AI buildout has pushed up prices for high-tech consumer goods. This provides a mechanism worth tracking: as technology investment expands, related goods may initially face demand pressure. However, the speech did not quantify AI’s contribution to overall inflation or establish a definite policy path on that basis. It is therefore reasonable to infer that AI investment may add to short-term price pressure. The available material is insufficient to go further and assert that AI will significantly prolong the period of high interest rates across the economy. The analysis needs additional evidence showing how these price changes feed through to overall inflation.

Evidence: [1]

Platform companies’ resilience cannot be judged from operating cash flow alone

The WeChat account argues that platform companies with ample cash flow, such as Google, are better able to withstand high interest rates. Alphabet’s disclosures require us to qualify that judgment: second-quarter operating cash flow was $39,069 million, purchases of property and equipment were $44,924 million, and free cash flow was -$5,855 million; trailing twelve-month free cash flow remained $53,273 million. The company also disclosed equity and bond financing. Negative free cash flow in a single quarter does not mean an operating loss or an inability to meet payment obligations, but it shows that operating cash flow must be considered alongside capital expenditure and financing. This supports the inference that platform status alone is insufficient to establish resilience. Cash flow coverage needs particular scrutiny when investment spending continues to grow.

Evidence: [5] [7]

Circle shows the variables beyond interest rates

Circle’s second-quarter reserve income was $668 million, up 5% year over year. Over the same period, average USDC circulation grew 25%, while the reserve yield fell 66 basis points, offsetting some of the growth in scale. Distribution, transaction, and other costs were $412 million, up 1%, mainly due to increased distribution payments. These disclosures support analyzing scale, yield, and costs separately. There is a mechanism supporting the inference that higher short-term interest rates may bolster reserve income. But net profit also depends on scale and costs, and the direction of the share price cannot be inferred from reserve returns alone. Research into policy-sensitive companies should examine specific revenue and expenses rather than stop at the label of “benefiting from high interest rates.”

Evidence: [6]

What to watch next

• Whether subsequent FOMC statements confirm a pause, and whether they change the conditions for further policy adjustments.
• Whether subsequent core PCE data show continued cooling; keep the statistical basis consistent across comparisons following the annual update.
• Whether Alphabet’s subsequent operating cash flow covers capital expenditure, and how financing and free cash flow change.
• Whether Circle’s average USDC circulation, reserve yield, and distribution costs move in the same direction.
• Whether further evidence emerges that can quantify the AI buildout’s contribution to overall inflation.