Gavin Baker Profile picture
Apr 28, 2020 18 tweets 4 min read Read on X
1) So far in the battle of the irresistible force of the largest stimulus ever vs. the immovable object of the sharpest economic slowdown in history, the irresistible force is *overwhelmingly* winning.
2) Market has been rallying on new cases declining, massive stimulus, cleaner positioning and the fact that large parts of the economy will begin reopening - rightly or wrongly - by Memorial Day along with the reality that many of the largest index components benefit from Covid.
3) The market is always anticipatory - and it ripped into the economy reopening vs. around the economy reopening

Even after 20 years, I am surprised by just how anticipatory the market is. I thought I was weeks early writing this vs. only days early.

medium.com/@gavin_baker/v…
4) However, sell the news is also a real phenomenon. And I am fascinated to see how the market trades as the economy reopens.

Especially given the fact that the economy reopening is unlikely to lead to a quick return to normalcy based on international analogs.
5) i.e. In Sweden, the economy never closed but movie theaters, restaurants and hotels are mostly empty.

In China, the consumer is still quite weak - especially in larger cities - well after new cases and deaths have asymptoted to near zero. Image
6) That's not to say that China isn't recovering - only that it hasn't fully recovered and the recovery has been very uneven.

Traffic, auto sales and housing have largely recovered, but hotel occupancy is still deeply depressed and ride sharing is still down 25% (no chart). Image
7) Bloomberg had a good article on Wuhan after the lockdown was lifted. Reopening does not equal normalization.

bloomberg.com/news/articles/…
8) Barron's also. All of these international examples suggest that the economy will not quickly normalize as it reopens.

barrons.com/articles/heres…
9) And consumer surveys bear this out with 36% of Americans in this survey saying they will avoid going to restaurants/bars altogether even when things fully reopen and 58% saying it will be 3 months post all-clear before they feel 100% safe traveling: ImageImage
10) Economic "normalization" as opposed to reopening likely requires that the fear associated with Covid declines significantly.
11) I see 3 possible ways for the fear of Covid to be reduced: a vaccine in 9-36 months, better treatment regimens later this year that reduce the CFR or widespread Serological testing which reveals that the CFR is lower than we thought.
12) Of these, I think better treatment regimens are the most likely near term way forward for the simple reason that the global medical/scientific community has never before focused so intensely on one problem per Mary Meeker's excellent chart: Image
13) And even once the fear of Covid recedes, we will still likely be in a recession and life will be different.

i.e. Every CEO I speak with has been positively surprised by work from home and is interested in ways to cut costs via work from home even after the economy reopens.
14) And private equity is generally only planning on bringing back 75% of furloughed workers.

So *really* curious to see how the market trades as the economy reopens but likely fails to normalize.
15) The irresistible force of the stimulus may keep winning - and "don't fight the Fed" is an adage for a reason - or the severe economic decline and low likelihood of a near term normalization may begin to slow the market down.
16) Range of outcomes remains wide even if the Fed has truncated the left side of the tail.

I think this is a time of high uncertainty that calls for humility rather than conviction.
17) However, as always, I do have high conviction in the fact that America and the world will eventually recover.

Always bet on humanity.
18) And whatever happens with Covid, the market and the economy, there should be great opportunities in individual equities for long term focused investors given the wide intra-sector valuation spreads.

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More from @GavinSBaker

Mar 19
1) Inflection will likely be the first of many VC-backed Foundation Model companies to fail.

Foundation models without proprietary, real-time data AND massive distribution for RLHF are the fastest depreciating assets in history.

2) Irony is that while models are commodities today, the ultimate future is likely one where there are only a few truly massive models with proprietary real time data and vast distribution.

Only a few will make it. And they will be super valuable.

3) Smaller open source models will be used for most vertical tasks to save on inference costs.

As ever, there are no barriers to entry on the internet, only barriers to scale. And once at scale, the returns are very high.

Foundation models are becoming a “Game of Emperors” and the empires on the other side of this winnowing are really large.
Read 5 tweets
Sep 17, 2023
Analysts often assume they are *the* audience for conference calls.

There are many audiences (regulators, employees, competitors) and incentives (sometimes want the stock lower i.e. if in the midst of a big buy-back or heading into option/RSU pricing).

Creates opportunities
For example:

When a company is speaking directly to competitors by saying they are willing to incur losses to defend share.

A public conference call is really the only way to legally convey this intention and help rationalize competition.
The airlines were actually investigated by the DOJ for potentially illegally colluding to set price/capacity by using Wall Street to communicate with each other.
Read 4 tweets
Jul 23, 2023
1) GPU utilization rate is the new ROIC for any company working on AI.

“In deep learning, nothing is ever just about the equations. It’s how you put them on the hardware, it’s a giant bag of black magic tricks that only very few people have truly mastered.”
2) Cloud/virtualization/containers have abstracted hardware away for a generation of software engineers. Now back with a vengeance.

The MLPerf storage benchmarks will be a catalyst for storage by showing the massive impact on GPU utilization from faster storage.
3) A company with higher GPU utilization can choose between faster time to market, a better product or lower costs.

GPU utilization shockingly low at many companies working on AI - both public and private - and one of OpenAI’s biggest advantages.
Read 5 tweets
May 2, 2023
1) Over the short-term, stocks trade on the 2nd derivative of Rev/EPS/FCF growth and ROIC changes along with beats/misses vs. expectations.

Valuation determines the magnitude of the move based on ☝️and 👇

Over the long-term, ROIC and growth in FCF per share drive performance.
2) I only say this as a reminder because there were so many replies to the tweet linked below pointing out that YoY earnings growth was weak as if that was a relevant or important fact.

The 2nd derivative and surprises vs. expectations are what matter. Always.
3) And the pattern of 2022 was generally strength during earnings season, then weakness after as the focus returned to macro.
Read 4 tweets
Apr 27, 2023
1) "Most people in high-stress, decision-making industries are always operating at this kind of simmering 6, or 4, as opposed to the undulation between deep relaxation and being at a 10. Being at a 10 is millions of times better than being at a 6."

tim.blog/2019/07/03/the…
2) "train your intuition, your somatic introspection, to feel when your quality of presence, your quality of energy is slipping from like a 10 to a 9. When I start working with top mental performers, very often, it can go from a 10 to a 2 before they even feel the slip."
3) "Really, I like to use these tools to train someone to sharpen their intuition, to sharpen their somatic sense, for where they really are...alignment of peak energy periods with the creativity work, thinking time is hugely important."
Read 7 tweets
Apr 15, 2023
1) Reread Jassy letter. Surprised that he hasn’t at least delayed Kuiper, their Starlink “competitor.”

Zero chance Kuiper succeeds until someone other than SpaceX can reliably land rockets.

In the unlikely event Blue Origin succeeds, then Kuiper will be a conflict of interest.
2) Starlink gets SpaceX’s internal launch cost (15m marginal launch cost for reused Falcon9 per an Aviation Week interview that is going to $2m post Starship) while Kuiper gets the Atlas V launch cost of $100m for a payload 20% lower than Falcon9.
3) So it is strange to start Kuiper when its costs are over 10x higher than SpaceX’s costs with SpaceX cost per metric ton about to go down another 20-30x w/ Starship.

Seems wiser to wait until someone else successfully lands a rocket and thereby dramatically lowers costs.
Read 7 tweets

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