While oil & equity mkts were flattish last wk, bond ylds hit multi-decade highs in different countries as central banks raised rates. While AI frontier model pacing was initially a concern, that faded by Friday. I expect the upcoming wk to be challenging.
I have some simple portfolio rules including:
1) Don’t Fight the Fed: hiking cycle seems to have begun
2) Don’t Fight the Bond Mkt: Multi-decade highs in ylds
3) Don’t Fight Seasonality: Sept is worst month for hit rate & returns with mid-term yrs even worse
These rules influence how I think about leverage, the ratio of long positions versus short positions, and individual position sizing.
Investing is hard enough without fighting headwinds. As Warren Buffett (a remarkable 61 year run came to an end last week) has said, the market has to keep pitching but you do not need to swing.
For AI, the battle lines seem to be drawn. OpenAI and Anthropic are pushing for regulatory capture while
$NVDA &
$MSFT are pushing for better testing before models are released. I’m in the latter camp. No product from any company should be released before it is safe.
AI related companies focused on the potential bullish implications in case there was model innovation pacing including:
1) Focus on security
2) Resources deployed for testing
3) Potential for any training slowdown offset by limited hardware capacity being deployed to the infrastructure layer
The SOX index, a representation of the infrastructure layer, rallied 0.8% last week with
$IGV (the software ETF) also up 2.8%. Software was led by the security names, the
$HACK ETF was up 8.0%, despite the 0.1% decline in the S&P.
Longer-term, my view is that companies do not need the most advanced models for 90% of their workflow and usage will increasingly go towards open weight models. I believe that ultimately the LLM layer is likely to become commoditized. As an example, the ASP per token peaked in late May and has gone down ~50% since then while the number of tokens produced has gone up by ~4x. This is Jevons paradox in action. This should also be supportive of the infrastructure layer.
As the model layer becomes increasingly commoditized, I believe the winners will be those that have the following attributes:
1) strong open weight models
2) distribution capability
3) training data
4) base business that is highly cash flow generative
I believe the following companies have the attributes above to varying degrees:
1)
$META (Muse from Meta is the #1 free app on the Apple app store with ChatGPT #2),
2)
$GOOGL (I expect a new frontier level model soon that should help the stock)
3)
$MSFT (Co-pilot might be the "safe" way ~450M M365 enterprise users choose to access AI. But their 27% ownership of OpenAI does concern me and they do not have the wealth of training data that Meta and Google have.)
Earlier this year, the advent of Agentic AI increased token production by 10-100x. This should keep demand strong for the semiconductor portion of the infrastructure layer.
Given the escalating geopolitical tensions over the weekend and its potential impact on oil/bond yields, this could prove to be a challenging week:
1) Ukraine fired over 1,000 drones at Russia, including "largest ever" attack on Moscow
2) There was a missile attack on Riyadh for the first time since July
On a positive geopolitical note, hopefully something constructive comes from the meeting between Presidents Trump, Xi and the attending business leaders on Wednesday.
All the best in the week ahead.