The Hike Lands, Volume Bottoms Out, and "AI Is Slowing Down" Headlines: The Narrative Keeps Going Under the Noise

Today the Fed officially raised rates by 25 basis points, taking the benchmark to 3.75%–4.00% the first hike since July 2023. Yet even with the hike landing exactly as expected, most of the U.S. market gapped up and faded a classic "sell the news" pattern, reflecting that the hike itself had already been fully priced in. Worth noting from the Fed's updated dot plot: 16 of 19 officials now expect at least one more hike this year, with the median year-end rate projection at 4.125% which means a meaningful chunk of investors will keep pricing in further tightening all the way through year-end. Against that "one shoe drops, another may still be coming" backdrop, the broader market will likely stay choppy for a while. That said, tech hasn't stalled internally plenty of individual names are still making new highs.

Meanwhile, total trading volume across China's A-shares hit a fresh year-to-date low today. In my own experience, this kind of extreme volume dry-up is usually exactly when the odds of a real regime change go up once volume shrinks down to some kind of floor, the next move (whether a breakout on rising volume or a breakdown on rising volume) tends to be more likely than continuing to just tread water.

1. The "AI Is Slowing Down" Headlines: Sentiment Got Amplified, But the Logic Hasn't Changed

There's another piece of news that's rattled the market lately. On September 12, two of the biggest names in AI Anthropic and OpenAI (along with xAI's Elon Musk) jointly and unusually called for slowing the pace of frontier AI capability development, citing safety concerns. OpenAI also announced it's pausing the IPO it had originally planned for this year. The headline immediately hit sentiment some AI-linked assets sold off, and plenty of investors started worrying this might signal that AI's actual technological progress is set to slow down, with knock-on effects for AI hardware names like Nvidia, Broadcom, and AMD.

But step back and look at the underlying logic calmly, and my read is: this headline doesn't actually signal that AI progress is slowing down. If anything, it's the opposite. These companies calling for a slower pace of frontier model capability development is a conversation about safety and governance timing that's a fundamentally different question from "is AI infrastructure buildout still moving forward." Looking at more objective data points, orders for AI hardware infrastructure haven't shrunk because of this headline at all if anything, they're still climbing. Hyperscalers' compute expansion plans and data center construction timelines haven't shown any real sign of slowing down.

Which brings me to a point worth repeating in this post: current market sentiment is easy to amplify off headline-driven news. A "AI giants call for slowdown" headline gets simplified into "AI is done," which then triggers emotional selling across related names. But as an investor, what actually matters is coming back to the fundamentals of the thesis itself — checking whether the core variables actually driving this trend have genuinely changed — rather than getting yanked around by every headline.

2. Three Things I'm Watching From Here

Pulling together today's news flow, here's what's on my watchlist going forward:

1. The Fed's forward guidance on further hikes. The dot plot has already flagged the possibility of another hike this year — I need to keep tracking Fed officials' comments, along with inflation and employment data, to see whether that expectation firms up or gets walked back.
2. Whether hyperscaler capex is genuinely starting to slow. This is the single most important metric for judging whether the AI infrastructure narrative has run its course. As long as capex growth hasn't been systematically revised down, the logic behind the AI hardware chain still holds.
3. The actual pace of large language model iteration. Even with these companies calling for a slower pace on safety grounds, it's worth watching whether that actually shows up in the real cadence of model capability improvements, or whether it stays mostly at the level of PR and governance statements.

Closing Note

This post records my immediate reaction to today's key headlines and reflects a personal view — it is not investment advice. Market conditions move fast, and policy or industry headlines in particular are easy to over-interpret emotionally. Any actual decisions should be grounded in your own ongoing research and independent judgment.