The Transcript 的 Catalyst Watch：本周三大 AI 投资主题

Welcome to Catalyst Watch at The Transcript, a report for paid subscribers that highlights investment themes from this week’s newsletter.

Share The Transcript

1. AI is Moving The Needle On Macroeconomic Indicators

AI has dominated the capital markets narrative for several years already. In recent months, the spending has been impacting the real economy more and more. This week, several quotes stood out in this respect. Expeditors International’s management team highlighted a few numbers that captured the scale of the mobilization:

“And in terms of economic impact, the economic impact is significant, especially for the U.S. economy....AI contributes around 1.5% to 2% of the U.S. gross domestic product as well as 50% of the growth in net imports, right?… I think it was 7% or 8% of global air cargo is related to AI, and that’s on a volume basis. On a value basis, it’s something like 40%, 50%, some crazy big number.” - Expeditors International of Washington (EXPD -0.86%↓), Onyx Sr. Geopolitical Analyst Suryo Nugroho

Arguably, the most significant impact of AI spending is on bond yields, which are of course fundamental to economic activity:

“I think what’s driving it in large part is higher yields is really a strong U.S. economy and a strong economic outlook fueled by big investments in AI and data centers and technology in general. So I see this as more of a reflection of the strength of the economy. We’re not seeing it in terms of inflation compensation. We’re seeing it mostly in real rates.” - Federal Reserve Bank of New York President John Williams

The more AI spend impacts the broader economy, though, the more political actors take notice. What risks do politics pose to the industry?

“I think part of the backlash is just from fear. There’s just a fear that many jobs are going to go away. The AI boom, for good or for bad, has benefited a lot of people, and there’s a lot of people who have no benefit from it, right? And there’s a lot of America, just again on the American political scene, who it’s tough to make the mortgage, you know, their paychecks haven’t gone up, and now they’ve got this AI thing that just looks going to even harder. So I think the data centers become a bullseye unfortunately for all the things that could be bad about AI.” - ARM (ARM 0.18%↑) CEO Rene Haas

2. Will Open Source Models Supplant Frontier Models?

This question has been a growing debate within capital markets recently. Palo Alto Networks’ management team captured some of the dynamics:

“For the past 90 days, the market has moved beyond a handful of frontier models towards a diversified ecosystem of open-weight and open-source architectures. Enterprises are increasingly prioritizing sovereign control over their AI, leading to the deployment of specialized models deeply integrated with proprietary data. We expect a major acceleration as organizations utilize internal telemetry to fine-tune models for bespoke enterprise use cases.” - Palo Alto Networks (PANW 3.02%↑) CEO Nikesh Arora

Perhaps the most interesting part of the quote above is that 90 days feels like an eternity within the AI industry. Things move incredibly quickly. So while today it may seem like open source is taking share from frontier models, that could change by tomorrow.

OpenAI launched GPT-6 last week. The release feels like it’s the first time that OpenAI has recaptured buzz in a while.

“We’re introducing GPT‑6 Astra, the world’s most intelligent and aligned model…Astra saturates FrontierMath Tier 4 with a 98% score, having already helped solve long-standing open problems⁠ in mathematics. Astra also saturates ARC-AGI-3 with a 99.9% score and ExploitBench with a 100% score. It also sets a new frontier on computer and browser use, handling the most demanding professional work with unmatched speed, accuracy, and judgment.” - OpenAI

The pendulum between low-cost and frontier models may persist for some time, but in the long run it seems likely that market share and distribution advantages will accrue to companies that are perceived to have the best models.

3. What Will Frontier Labs’ Compute Strategy Be In The Long Run?

This question is not front of mind for capital markets today, but the result will have a profound impact on some of equity markets’ biggest bets. Avago’s management team laid out what it sees as the path forward. It’s worth considering how this impacts current hyperscalers and dominant GPU producers:

“Now these guys are going to be hyperscalers in their own right. So what they do is they want first-party compute capacity just as they create their own -- they want to create silicon that is very cost-performance optimized, and they want to run their own data centers, eventually first path, not even eventually, they want to run it as fast as they can. Short term, you’re right. They are using cloud services, third-party services, to deploy their models. Long term, we see these guys to be no different from a hyperscaler and will run their own data centers and be first party to offer AI, generative AI, APIs, SaaS models to the world. So we see that happening. It’s not speculation. It’s actually happening, and we are in the midst of enabling them.” - Broadcom (AVGO 1.45%↑) CEO Hock Tan