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Today, we are opening applications for Elbow Grease: A Hard Working AI Accelerator in New York City. We have pulled together the best of the Gutter community into an 8-week residency in Chinatown.
Participants will receive...
- $300k investment
- 1:1 mentorship from Series B+ and exited founders
- off-the-record conversations with industry leaders
- practical workshops by elite startup operators
Check out the full roster and application at elbowgrease.gutter.cc/
Know someone who should apply? Please tag them in the comments below!
With love and elbow grease,
James Gettinger, Dan Teran, @rphfrombrooklyn
Thank you to our sponsors at @PerkinsCoieLLP , @tryramp and @Microsoft
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Achieve your financial goals with data-backed analysis from FactSet and @mrktcall. Don't miss the insights on MRKT Call with @GuyAdami and @RiskReversal: bit.ly/3SaPtUi #FactSetXMRKTCall
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From 7/10-7/16, $IWM +10.4%, $QQQ -1.3%, Mag7 -3.9% following the favorable CPI print and increased chances for Fed rate cuts. $ASML (AI semiconductor tool provider) was down 13% yesterday. Was this due to them just reiterating yearly guidance despite beating expectations for the quarter or due to comments from both President Biden (on foreign technology sales to China) & former President Trump (on defending Taiwan)? Therefore, the stock action in $TSM today (the Taiwanese AI driven foundry for $NVDA $AMD $AAPL) is important. Right now TSMC’s stock is down ~3% after being down 8% yesterday despite beating expectations for the quarter and raising their yearly guidance. Other hardware centric AI names such as $NVDA, $ARM, $SMCI, $MU and $DELL are also acting poorly after being down 4-8% from 7/10-7/16. Given my continued concerns over a short-term AI spending digestion phase given the small amount of revenue being generated, I continue to look outside of big tech for ideas through year-end. In addition, rhetoric on greater tariffs broadly, and in on China in particular, is only likely to increase leading up to the US presidential election. Therefore, areas outside of big tech & small caps in particular remain my preferred area on a pullback. A greater percentage of Russell 2K revenue is domestic versus the larger names in the S&P500. And even with the most recent rally, the Russell 2K is up ~10% year-to-date as I write this intra-day versus the S&P up ~16%, Nasdaq up ~19% and Magnificent7 up ~36%.
Among the larger technology names, $AAPL remains my favorite. Revenues should be able to accelerate and grow double digits year-over-year on an AI driven iPhone upgrade cycle after being up only 1% from March of 2021 to March of 2024. While Apple’s revenue exposure to China (19% of FY23) is certainly a risk for political retaliation, the importance of the Apple supply chain to Chinese employment (~1.5 million people) given the growth issues China is having, mitigates some of that risk. I would also note that Apple had a solid relationship with the prior Trump administration even during prior China tariffs during which they received favorable treatment.
Interview w/ @MelissaLeeCNBC on looking outside of bigtech for ideas through year-end. The upcoming earnings season may start to broaden the rally as some big tech companies look for ROI on their AI spend so far. Looking at Europe post their political angst & US small caps.
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When it comes to GLP1s and adjacent drugs (GLP1s+), I constantly remind myself that we have to hold two competing ideas simultaneously:
1) The present reality is extremely challenging for patients
2) Today is the worst it will ever be
ro.co/perspectives/worst-it-…
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On podcast w/ Dan Nathan @riskreversal on @mrktcall about the setup through year end. Positives of 1) election & Olympics internet ad spend, 2) potential Fed cut, 3) peace pre-election in M.E. or Ukraine balanced by negative of potential AI digestion phase of historical spend.
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With $NVDA becoming the second most valuable company in the world yesterday, I thought it worthwhile to lay out my thoughts both near-term and longer-term depending on your time horizon.
My belief is that over the next 3-4 years, Nvidia revenues are likely to roughly triple from current levels with the stock roughly doubling. However, before year-end we may be near a digestion phase for the amounts spent on AI over the past 1 ½ years since the launch of ChatGPT in late 2022.
In this regard, Sequoia, which is a prominent VC investor in the AI space including a lead investor in the seed round for $NVDA in 1993, did a presentation recently in March. Sequoia estimated that the AI industry spent $50B on the NVidia chips used to train advanced AI models in 2023 but brought in only $3B in revenue. I believe a slowdown in AI spending from the torrid rates seen over the past year will be healthy as companies figure out where this spend gets the return on investment necessary.
Large software vendors that just reported the April quarter such as $CRM, $MDB, $SNOW, $WDAY were optimistic on the benefits of AI to their businesses. However, future expectations were cut despite AI benefits as the economy slows, companies cut back on employees due to greater efficiency and the increased spend on AI is coming out of other budgets.
Even during the buildout of the internet, $CSCO, which became the most valuable company in the world in 2000, went through periods of severe stock declines as concerns rose about internet spend digestion. Cisco’s stock saw declines of 26% in late 1995, 38% in early 1997 and 37% in late 1998 as revenue growth rates while still hugely positive either declined or plateaued. Despite these intra-year declines, the stock was up during each of those years in total and increased ~4000% to its peak in 2000 from the end of 1994.
For perspective, Cisco, the leading enabler of the internet infrastructure buildout, since the end of 1994 (the launch of internet web browser Netscape Navigator) saw its revenues increase over 15x from $434M (Oct qtr of 1994) to $6.7B (Jan qtr of 2001) without ever having a sequentially down quarter. Nvidia by comparison since the end of 2022 (the launch of ChatGPT) has seen revenues increase by “only” over 4x over 1 ½ years from $5.9B (Oct qtr of 2022) to $26.0B (April qtr of 2024). AI spending driven by the biggest companies in the world is healthier today than the early spend on the internet when internet advertising models were unproven.
Obviously at some point an actual contraction in AI spend and stock prices is likely as was the case with the internet spend from its peak in 2000. Cisco’s revenues declined 36% in six months to $4.3B (July qtr of 2001) before starting to grow again while the Nasdaq declined 78% from peak to trough over 2 ½ years (and Cisco’s stock declined 89%.) However, I believe we are years away from that ultimate AI peak build out occurring but we will not know that until time passes much like back during the internet buildout.
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In 5 days $AAPL will likely make an announcement that they've never done before: outsource a core technology from a third-party (likely OpenAI).
Big picture: Apple has a lot of ground to cover when it comes to embedding AI across their product line. This challenge will not be solved at Monday's developer conference. While it will take years, I believe Apple will come out on top as a significant beneficiary of AI given they have something no other company in the world can offer: an integrated hardware, software, services, ecosystem that has privacy as its guiding principal. That's Apple's DNA and it will serve the company well over the next decade.
In terms of a third-party model partnership:
This has a positive effect: allowing Apple to make up years of lost time in building generative AI and add those features across most of their products with in a matter of months.
It also has a negative effect: Apple is not in control of its AI destiny (Microsoft and Amazon have similar dilemma). Some perspective:
1) The reality is the most exciting parts of Apple's AI driven features will be powered by a third-party, likely for the next 3 years. This was the right decision for Apple to make up lost time.
2) In terms of economics, I suspect the partnership will be more or less a financial wash between the two companies. There's a case where OpenAI pays Apple several billion per year for access to Apple's 2.2B active devices. There's also a case where Apple pays OpenAI several billion per year for access to the models. Either way, I believe the financial impact will be immaterial. This is different than the nearly $15B that $GOOG pays Apple for annual Search placement.
3) Eventually, I believe Apple will accelerate development of its own models (i.e., Ajax) to rely less on third-parties. I expect the company will release its own small language models in the next year that run specific generative tasks on device. Over time, +3 years, I believe Apple will come out with its own foundation model that will replace OpenAI.
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Have recession fears finally subsided?
@GuyAdami and @LizYoungStrat are diving into the latest Earnings Insight data on @MRKTCall
WATCH HERE: bit.ly/3RehIjG
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There's a new episode of MRKT Matrix out now! We recap $NVDA earnings, Fed minutes, home sales, $AMZN's Alexa AI, $TSLA trouble & Americans downbeat on the economy
Listen wherever you get your podcasts!
podcasts.apple.com/us/podcas…
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Meet Brunson, the host of our new AI-generated podcast MRKT Matrix! We recap the day’s top stock market and business headlines. Listen now: podcasts.apple.com/us/podcas…
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The $AAPL call just wrapped up. Shares up about 7%, about the same as when the call stated.
My 5 initial takeaways.
1. No Capex front, Luca reminds investors that Apple makes some investments themselves and sometimes those investments come from suppliers. On the data center he added they take the same approach and use some of their own capacity use capacity from third parties, and they want to continue that going forward. Translation: This reduces the changes that we have a gotcha Capex moment as the Apple builds out their AI infrastructure.
2. June revenue guidance is for up single digits YoY was inline with the Street numbers, and above whisper numbers which were for flat to down 2% YoY. Sign that the core business is intact. Margins guidance remains near historic high levels despite stepped up investment in AI.
3. China finished better than expected. They continue to see China as a key market, and they want to diversify into India, Saudi, Mexico, Turkey, Brazil and Indonesian where their marketshare is low.
4. At WWDC in June, Apple will talk about how generative AI will be built into most of their products. The speed that Apple has shifted their message on GenAI is remarkable and the right decision.
5. DOJ is still an overhang to the stock until we get some kind of resolution. Absent the DOJ, I would expect shares to be above $200.
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Giving out Market Morning Update at @FactSet’s Focus Conference in Miami!
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Starting the day with Monda Market Updates with @mrktcall, @RiskReversal and @GuyAdami! #FACTSETFOCUS
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Get ready! @mrktcall podcast is coming live from #FACTSETFOCUS today!
Watch @GuyAdami, @RiskReversal, and @LizYoungStrat, as they take a real-time and interactive dive into the latest quarter.
FactSet and MKT Call coming in 'Miami hot' at 1:15 am EST: bit.ly/3Ux3c8K
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MRKT Call is live from @FactSet’s Focus Conference in Miami! @GuyAdami, @LizYoungStrat and @RiskReversal will preview the Fed meeting, $AMZN $AAPL earnings & hit the biggest movers today.
Watch at 1:15pm youtube.com/live/OWMiH-OEeVg…
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3/ These days, @joinhandshake has 15M+ active student users and "almost 50% of college students in America found their first job on @joinhandshake last year." —@GarrettLord tells @riskreversal @jrichlive in this @OkayComputerPod podcast: riskreversal.com/a-notable-u…
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We're going to Miami! @RiskReversal & @GuyAdami will bring you MRKT Call LIVE from the @FactSet Focus event on Tuesday & Wednesday.
Tune in on RiskReversal Media's YT page: youtube.com/channel/UCRAOycP…
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Hard not to root for the insurgent out-hustling the big guys! The battle to be your personal AI is bigger than internet search. 🚀👊
We’re excited to announce that we’ve raised $62.7 million in a Series B1 funding led by Daniel Gross. The round also includes Stanley Druckenmiller, NVIDIA, Jeff Bezos, Tobi Lutke, Garry Tan, Andrej Karpathy, Dylan Field, Elad Gil, Nat Friedman, IVP, NEA, Jakob Uszkoreit, Naval Ravikant, Brad Gerstner and Lip-Bu Tan.

















