# Momentum Is Crashing, Bitcoin Is Bottoming, AI Agents Are Rising

https://www.youtube.com/watch?v=sFxprIEVWPg

[00:00] Back in Maine.
[00:04] Uh 90 plus degrees for one of the two times a year.
[00:07] Uh holiday week.
[00:07] Happy 4th to everyone.
[00:09] Hope you got to enjoy it.
[00:13] I did this on Friday, so uh I'm seeing you guys Sunday.
[00:17] Uh midcycle slowdown continues within AI and as expected the narratives and the headwinds and what everyone's talking about.
[00:25] Uh I spent a lot of my time this week uh talking to people about particular uh podcasts expost.
[00:32] Again we are in a uh a point now where people are getting worried because it's not as easy to make money.
[00:40] So I'll go through that.
[00:42] A big volatility shakeout.
[00:45] Momentum is just um killing people with the volatility which I've highlighted.
[00:49] I'll go through podcast.
[00:51] Greg Brockman had a great podcast this week.
[00:54] The consolidation playbook uh for subscribers.
[00:57] Kevin Worsh had an interview.
[00:59] I think um people need to start focusing on that.
[00:59] Some of what
[01:01] I'll be going through is going to be focused on Worsh.
[01:04] Um the application layer, insurance and health care seem to be the two sectors right now benefiting the most as the consolidation is occurring with inside the infrastructure.
[01:17] Meta, another big uh week for them in terms of trying to get the market all enthused.
[01:23] Uh open source continues to go and do I say Bitcoin is actually giving me enough to talk about from a potential bottom.
[01:33] We're still below the 200 day moving average, but I'm spending a lot of time on this because I believe the application layer matters.
[01:39] I believe wash matters for Bitcoin.
[01:41] We'll go through it.
[01:44] Uh, I just want to start with this equal weight S&P.
[01:47] If you're listening to anyone saying that the market is a bubble or that a correction is coming, equal weight S&P is breaking out and is strong despite all the volatility.
[01:58] There is a rotation going
[02:03] On, IWM made new all-time highs this week.
[02:09] The S&P is in a consolidation triangle at this point.
[02:11] So, for everyone who sends me stuff getting all beared up, got to short tech, got to short the AI trade.
[02:15] We're going to see capex cut.
[02:18] Everything is going on.
[02:18] Um, the S&P spent the month of June consolidating.
[02:23] Uh, it's basically the same level it was since the beginning of May, which means we're taking some air out of the bubble.
[02:30] While it's an earnings driven recovery and bull market cues, same triangle formation.
[02:37] The New York Stock Exchange cumulative breath all-time high this week on Friday, Thursday.
[02:43] Hyperscalers continue to stay in a range they've been in.
[02:48] They are unchanged almost effectively since last year.
[02:50] Again, this is Meta, Amazon, Microsoft, and and Google.
[02:54] Uh it's multiple compression.
[02:57] Their earnings are growing.
[02:59] Everyone keeps trying to pick the bottom of them.
[03:01] Everyone keeps trying.
[03:02] I I think these again are just
[03:06] like software has become and the aggregate for SAS.
[03:08] This is just going through multiple compression.
[03:11] Every now and then two of them will do well, two of them won't do well.
[03:14] I still like them as the funding side for this, but I don't I I I think we've gone through enough at this point where the V so high.
[03:25] This is my thematic portfolio.
[03:28] We've been consolidating like the market has.
[03:29] just again shows that the AI infrastructure trade has been doing everything.
[03:34] Now, for any of the institutional clients that I've met with over the past couple weeks, when asked the question, well, what kind of consolidation?
[03:41] I keep saying the same thing.
[03:43] I think a 50-day moving average uh retracement either through the 50-day moving average moving up or prices coming down or a combination of both would be good.
[03:53] This is the Cosby uh two uh 200.
[03:56] So again, this is weaning out all of the people on margin.
[04:00] There's a bunch of ways to lose money when people are gambling.
[04:04] And one of the ways is just by the market stopping to go up and
[04:08] then gradually they they lose their attention.
[04:10] It doesn't have to collapse in a bubble.
[04:12] Uh this is SKH touching the 50-day and then rallying uh on the day off.
[04:14] Uh this is the financial side.
[04:20] I'm going to bring this up as I go through in the US, but the financial side in the Cosby uh has been consolidating.
[04:24] If this is a GDP driven market, if GDP around the globe is improving, as we're seeing with estimate revisions, you should start seeing the financials be part of the bull market.
[04:36] They were lagging this entire year, especially in the US on the back of the blue owl situation, and this was impacted.
[04:43] Well, now we've consolidated.
[04:44] This is another consolidation chart, which looks like it's going to break higher.
[04:48] So, we'll see if financials become a space people want.
[04:50] the megaphones.
[04:52] Um, we got one in the socks rotation.
[04:56] So, this just again shows the massive increase in volatility.
[05:00] So, this is the same sort of the same thing as momentum, but it's just a rotation between the semi-software or the semiconductor ETF
[05:10] and the software ETF and just how wide the ranges are going.
[05:12] This is a way to get hedge funds out of the trade.
[05:14] It's a way to get uh retail momentum traders out of the way.
[05:16] They don't want to be looking in something that keeps costing them money when they keep buying a breakout.
[05:24] For the hedge funds, they also get stopped out or if V goes higher, the risk managers tapping them on.
[05:28] You can't be long this much VAR.
[05:30] This is the way to get rid of things.
[05:33] And these megaphones, this is the Morgan Stanley momentum uh index.
[05:36] And you can see this is all the way back to 2010.
[05:38] Just how wide it is and just how many times we're trading outside of this 5% band.
[05:43] These things are just moving uh every day.
[05:45] This is TMT.
[05:48] So this is the tech side and this goes back to 2010.
[05:51] You can just see how wide these have gotten.
[05:53] I mean this is just dramatic and I would say beginning from when the opus uh opus 4.6 kicked in and people or 4.5 which is back here we've seen more and more people going.
[06:06] This is a sign that it's just crowded.
[06:08] There's just too many people in the trade and this is the
[06:11] volatility of that uh M tech Morgan Stanley Mek.
[06:15] I mean this is 5% a day.
[06:19] This is higher than the.com bubble.
[06:21] Um, this has just gotten to the point where it's flushing people out.
[06:25] Now, this month has over the last five years has just been horrible for momentum.
[06:31] So, we're off to a horrible start.
[06:33] Uh, so far in 2026, momentum's gotten crushed, but you can see that this has been a bad month, just like December has been a bad month for momentum.
[06:39] So, the seasonals are in there.
[06:41] Um, I happen to subscribe to this as well, not in terms of market meltdowns, but I think the more and more that individual investors, particularly out of Asia, are trading the markets using AI agents, AI agents are going to continue to push this stuff.
[06:54] Those charts are bullish.
[06:57] They're not bearish.
[06:58] The only people getting hurt are the people that have draw down limits like hedge fund managers that have monthto-month risk for liquidity purpose, which goes back to hedge funds.
[07:09] But retail traders and people that are
[07:13] there, they're trying to make money and the VAR is not part of their job in this.
[07:18] So they might get chopped up a little bit, but I think the people that are more likely to get chopped up are the ones that are worried about the marktomark perform mark tomarket performance where they're borrowing money from people.
[07:30] So, I think the better way to put this is we're going to see more volval, and I've been saying that for a couple years, but I think as the agents get involved, their number one goal is to make money, not to meet a certain sharp ratio.
[07:39] Uh, I just want to bring this one up because I've I've repeatedly seen people show this chart, which is the margin debt, and say that this is a bubble.
[07:49] And I'm just sick of watching it.
[07:51] It's just such lame analysis to sit here and say that debt is getting bigger without looking at the size here.
[07:59] Just go look at the debt of the housing market.
[08:01] If the I mean we get into the point that if the value of the houses are going up well then the debt's going to go up.
[08:07] This is it relative to the market cap of the US which is a better way to look at it.
[08:10] Now it is rising right now but again we're below
[08:14] the midpoint of the range over the since the great financial crisis.
[08:18] So I don't see debt as being a big story.
[08:20] So, let's get back to what I showed last week, the different types of consolidations.
[08:24] And like I said, this would be great if the AI infrastructure trade went up, you know, 20% and then you consolidated in a tight range.
[08:32] The consolidation is going to be somewhat representative of two things in my opinion.
[08:36] One is how much of it was fueled uh or how much what were the earnings growth during the time period and is this something that uh in price movements was big?
[08:48] This is basically something where I would expect a very good sharp ratio with something that's a little more boring.
[08:53] This is when it's more speculation driven.
[08:57] I don't believe the AI trade is speculation driven.
[08:59] I believe much most of it is earnings.
[09:00] There is some speculation and that leads to this action and that's where I think we are.
[09:06] We are resetting now the thought process on this and these are all real and I've talked about all of them every week.
[09:13] It's the reason why I go through the headwinds, not because they're going to
[09:17] stop the AI trade.
[09:19] Headwinds don't stop things.
[09:22] Planes don't hit a headwind and then go straight down.
[09:23] You get turbulence, and that's what we're going through at this point.
[09:27] So whether it's the data centers, the power and cooling side, which is causing some of the data center side, the memory bottlenecks, the regulation, all of these things in here, of which there's many more, too.
[09:37] They're all part of the headwinds that are now becoming the bigger story.
[09:41] The reason they matter more now is because we've gone through the earnings.
[09:45] This is no longer as big a surprise and people are crowded into the trade.
[09:48] There's no way to refute the fact that they're crowded into it.
[09:50] Um I thought this week's all-in with Gavin Baker covered a lot of the headwinds and some of the topics uh fairly well.
[09:59] Um they also went through the memory side.
[10:01] Uh they talked a lot about GLM 5.2.
[10:04] I do think you should listen to this one on it.
[10:07] Um Gavin Baker says the future is composable models.
[10:09] This fits in very importantly with GLM 5.2.
[10:11] You need to have your mindset on this.
[10:14] It is silly to think that it's all or none, meaning, okay, I'm going to use
[10:18] Open source.
[10:19] I'm not going to use these, but that's never going to happen.
[10:21] The best models still have been in the frontier side.
[10:23] They've still been in the US.
[10:26] Think of it as those are the IV leagues or the highest IQs out there.
[10:33] Um, the companies that have the most money, which spend the most money, which drive the economy, and I'll say it this way, in the Russell 2000, the total market cap is about three and a quarter to three and a half trillion dollars.
[10:47] Well, that's one company at the top of the S&P.
[10:50] Pick your pick.
[10:53] So, one company equals 2,000.
[10:55] So, if 2,000 people use open source that are on the smaller side, but one company use.
[10:57] Okay.
[11:00] Well, if all the big enterprises do, the S&P is a massive side.
[11:02] So, I do think over time they'll be there.
[11:04] But don't fall into the trap of people saying that no one's going to use the higher models and anthropics revenues are going to stop growing.
[11:11] I think that is just again silly talk.
[11:13] Um, and I'll get into the composable models later.
[11:16] And then they
[11:18] go through the AI regulation.
[11:20] And then the final section, they cover the modular compute and a whole bunch of other things which again get into where we're going on this.
[11:25] Uh, on the GLM 5.2, two, they put it as a serious openweight challenge to US frontiers.
[11:34] And for any small businesses, anyone who's sophisticated enough to be able to use open source, it's going to happen.
[11:40] I've been using an open source Chinese model on one of my setups since uh April.
[11:44] So again, this is going to happen.
[11:48] I don't have enough hardware right now to deal with GLM 5.2 too in terms of on my own computer.
[11:56] But go I thought this was the most important line.
[11:58] Gavin Baker says the model's performance on GLM 5.2 the open source forced him to rethink part of his framework.
[12:03] I do think how good GLM 5.2 has challenged some of my beliefs.
[12:08] He talks about it.
[12:08] Those beliefs have to do number one with could open source keep up.
[12:12] I talked about that with Leopold Ash uh Leopold Ashbrunner um who also got that wrong in his um his situational
[12:21] awareness.
[12:23] Uh, but this is the other part.
[12:23] The future is composable models.
[12:25] And I think we're all starting to realize that to keep the cost down
[12:29] because no one expected the cost of these things to go up so dramatically
[12:33] that you're going to have to make sure that the smarter models are making the decisions.
[12:37] The smarter models are being used on the most important decisions in a company and certainly the most important things like drug discovery, science, energy, all of that stuff.
[12:50] So you're still going to need the models.
[12:52] You're still going to have people paying a lot of money for them.
[12:53] We still have scarcity on them.
[12:54] Uh but I think the open source is going to take up most of the let's say workflow jobs.
[12:59] So think anything that you're using co-pilot for.
[13:02] Copilot is not this.
[13:04] So think of open source as being behind copilot.
[13:06] And don't remember don't forget I highlighted that Microsoft was talking about deepse possibly for for that.
[13:14] So the frontier I left that up.
[13:17] Frontier tokens are capturing 90% of the economic value and open source tokens
[13:22] are probably 80% plus of tokens processed.
[13:24] That's the thing that matters.
[13:26] Everyone is starting to look at this and going this is going to kill anthropic tokens are capturing 90% of the econ economic value.
[13:33] So I don't agree with the people that are getting bearish on this side and trying to make some kind of cracks in the AI which I heard repeatedly in podcasts over the last three days.
[13:44] Um, I I didn't highlight this last week.
[13:46] It came out the the week last week when I did the video, but I think Dean Ball, who was hired, a former Trump official on the AI side, was hired by OpenAI.
[13:56] I think the paper that he wrote is kind of important what should be done.
[14:01] I I'm not going to go through a lot of the details on it, but he's just saying that the government regulation um it creates a dangerous limbo where these models are not being used and it's allowing the open source models to catch up.
[14:16] It's creating other issues.
[14:18] It's allowing countries around the world to think that maybe we shouldn't be using this.
[14:19] So, he's just
[14:23] going through this as a risk.
[14:25] Again, a headwind that I think is important.
[14:28] The administration and the states have not figured out how to deal with this.
[14:31] We still have a midterm election coming up.
[14:32] Again, I think these are headwinds.
[14:34] I don't think these are stoppages.
[14:36] Same thing with the data center, the backlash, front page, an economist article last week.
[14:42] JP Morgan put out that more likely to have a cyber attack causing a banking crisis than a credit loss.
[14:50] I've talked about this before.
[14:50] Agent swarms are bigger risk to the fiat system than quantum is to Bitcoin.
[14:55] Book it.
[14:55] Remember it.
[14:55] Stay with it.
[14:58] Um, this is a memory wrist that came out and if you didn't see this, it definitely got pushed around.
[15:05] It's starting to feel a little like the crypto market always in the equity market where there's this pump and dump thing where people are just posting stuff.
[15:11] Now, Andrew Curran is a very respectable um person with inside the tech and AI community and I highlighted a paper he wrote last week or the week before which was excellent, but he put this out which is probably
[15:23] true.
[15:25] There has been a significant breakthrough in architecture, specifically around memory efficiency, not by one of the big labs, but a team that was spun out.
[15:30] 2.1 million views.
[15:33] So, it was floating around, I think.
[15:35] Let's assume it's true.
[15:38] Um, don't go sell your memory stocks because of this.
[15:41] But as I've said since the day that I got out of my micron and said, "Hey, I just don't think these things can continue."
[15:49] If you're lucky enough ever in life to make a 7 to 10 bagger, don't expect there to be that much more going forward.
[15:56] Maybe there's a double over the next three years.
[15:57] Maybe there's uh 200% over the next three years.
[16:01] It isn't going to be like what it was.
[16:02] And I just thought there were better places where I still could get triples on the same theme.
[16:07] So for people that are long memory, I wrote a paper on it this week.
[16:11] I still believe memory is is a scarce issue.
[16:13] And even if they've come up with something, the question is until we get details on how fast they can get it up, how fast this can be brought through, whether it works for everything.
[16:22] We
[16:24] don't have any details.
[16:25] So, I would not spend a lot of time on it.
[16:28] Okay, those were the headwinds.
[16:29] Now, let's get into the podcast for you guys to listen to on where we are in AI and stop listening to the noise.
[16:37] Um, the future of software interview with Scott Woo, who's the co-founder and CEO of Cognition AI believes most people underestimate AI because they pattern match from history instead of reasoning from first principles.
[16:50] He highlights that AI has gone from handling seconds of work to hours of work and asks why that cannot become days, week, months or eventually a year of uninterrupted work.
[16:59] The most interesting future agents are not just tax task executors, but mission agents.
[17:05] I I'm I'm bringing that up because that's getting back into something I talked about last week, which I'll show in the next slide.
[17:14] Um uh AI may be one of those rare periods where pattern matching fails because the underlying variable is improving exponentially, which I completely agree with.
[17:20] Um the key constraint he focuses
[17:24] on how long a can AI can work without human interruption.
[17:27] We are already moving into a world where agents can perform hours of work.
[17:31] And I just want you to remember this hours of work.
[17:33] That is a huge change.
[17:36] Once an AI can take a well-escribed task, work through multiple steps, debug errors, search for context, test its output, and come back with a useful result, it starts to look less like a tool and more like a junior coworker.
[17:50] Combine what Scott Woo said in this part of the interview with what trying to give you guys more.
[18:04] Oh, with the Boris uh interview I showed last week.
[18:06] Boris Churnney uh I showed an interview on loops last week.
[18:12] So the story is the same in both interviews.
[18:16] AI is moving up the abstraction stack from writing code to completing tasks and running loops and eventually owning missions.
[18:19] Scott Woo
[18:24] describes the philosophical arc.
[18:27] Boris Churnney describes the operating reality inside Claude code.
[18:31] The industry has already moved from humans writing source code to agents writing code to agents prompting other agents.
[18:37] His concept of loops is the operational version.
[18:40] The unit of work is expanding.
[18:44] That leads into the Greg Brockman interview.
[18:46] If you haven't listened to Greg Brockman, he was interviewed with Alex Caner Witz on his podcast.
[18:52] Uh I think it's called the Yeah, it's the big technology podcast.
[18:56] Definitely worth the 40inute listen.
[19:00] Um it's evolving from a chatbot into something closer to a unified super app.
[19:05] Rapid adoption inside open AI.
[19:07] Tools like Codex are seeing explosive internal usage.
[19:14] um a so the broader ecosystem likely to embrace AI agents rather than resist them.
[19:18] Now I've said this before I use codeex more than claude code.
[19:21] I use codeex more now than chatpt
[19:25] than I had in the past.
[19:27] So every day codeex is taking over more of my more and more of my work.
[19:29] So if you guys have been uh stuck with clawed code and using it it's great and you're used to it.
[19:33] I highly recommend using both of them.
[19:36] Um I use still use all of them but my the amount of time as I've mentioned I use on Gemini and on uh Grock has gone down significantly.
[19:46] Same thing with perplexity.
[19:49] Uh compute is the bottlenecks.
[19:52] Demand for AI will exceed supply.
[19:56] Access to compute infrastructure will be decisive.
[19:59] He basically went into whoever has the most compute wins.
[20:01] So you can sit there and doubt whether the compute is necessary.
[20:04] You can somehow say the capex is going to be cancelled, whatever you want.
[20:07] The reality is every single person who's at the heart of AI and is the ones seeing the models get better, Greg Brockman and uh anyone at Claude, but Dario in particular, it never changes.
[20:20] Uh AI and healthcare is already
[20:25] impactful and expected to become
[20:27] mainstream. I highly recommend listening
[20:30] to the final seven minutes of the
[20:32] interview. For those of you who do not
[20:35] agree with what I have said or have
[20:38] family members with cancer, they go
[20:40] through more stories in there of people
[20:43] that have used LLM to diagnose what's
[20:46] going on. And
[20:48] there just unbelievable stories. And
[20:51] when he was asked, is this something
[20:52] that's going to become the standard? And
[20:54] he said absolutely it will be the
[20:55] standard. Um here are the key insights.
[21:00] Enterprise adoption we are at the
[21:01] inflection point. This is critical guys
[21:03] to the application layer. This is
[21:04] critical to the profit margins. This is
[21:07] actually critical to the AI
[21:08] infrastructure trade. And in my opinion,
[21:10] this is also critical to Bitcoin. The
[21:12] phase shift is happening now. Now it
[21:16] didn't happen before. So phase one to to
[21:18] early 25, we need AI. We're falling
[21:20] behind. Now it's show me the ROI. So now
[21:23] they're bringing in these companies to
[21:24] do it. The constraint is supply not
[21:26] demand. Can we supply enough compute and
[21:29] energy? We don't have it. And companies
[21:32] are not adopting AI tools. They are
[21:34] adopting AI workers. This shifts the
[21:37] model to labor substitution,
[21:38] productivity leverage, organizational
[21:40] redesign. It's a red a redefinition of
[21:43] how it work. Productivity leverage. So I
[21:45] want you guys to think about when I get
[21:47] into the Kevin Worsh part as well. Just
[21:49] remember what Greg Mochman started.
[21:52] These are the quotes. There's not just
[21:54] not going to be enough compute in the
[21:55] world to satisfy all the demand. Don't
[21:58] know how he can make it any more clear.
[21:59] And he is at the front of the best
[22:02] models in the world. There's not there's
[22:05] just not going to be enough comput in
[22:07] the world to satisfy all the demand.
[22:09] Every provider sells out all their
[22:11] compute. That's the world we're heading
[22:13] towards. Even at tens of millions of
[22:15] agent users, just look at that number.
[22:18] Tens of millions.
[22:21] We haven't brought this to the planet
[22:23] yet and that's for agents. Not enough
[22:26] compute, guys. It can't happen.
[22:28] Regardless of what you listen to and
[22:30] hear, what you read in X, there will
[22:33] never be enough compute. Never, ever,
[22:36] ever, ever. Just like there's never
[22:38] enough intelligence necessary to solve
[22:41] the world's problems right now. So, you
[22:43] can sit there, you can argue, you can
[22:44] try to go through it, but I think it is
[22:45] a mistake to get into it. There will be
[22:48] capex air pockets. There will be time
[22:50] where bottlenecks are happening and I
[22:52] believe we're in one of those now or
[22:53] where the narrative gets too far or the
[22:55] prices get too far and we're going to
[22:56] get a pullback. But those pullbacks,
[22:58] those consolidations, those are
[23:00] opportunities for you to get involved.
[23:04] Customers are now asking how do we
[23:05] control spend? How do we observe what
[23:06] the system is doing? That's the
[23:08] enterprise adoption. We're investing
[23:10] heavily in enterprise readiness and the
[23:11] tools for customer. This is where it's
[23:12] going to start to see productivity,
[23:15] the size of the market. None of us were
[23:16] anticipating how steep that curve is
[23:18] going to be. This is a vast
[23:21] transformation far bigger than I think
[23:23] most people realize today.
[23:26] Okay. So, we're in a consolidation.
[23:28] We're in a narrative driven point. I
[23:30] think it's going to continue. You these
[23:32] things are going to break out eventually
[23:33] during the course of this year. All of
[23:34] them in my opinion. Um or at least the
[23:36] majority of them. I've talked about I've
[23:38] shown you where you can use the stuff
[23:41] that I'm giving you every weekend to
[23:42] figure out where the trends are. Over
[23:45] 85% of the names are above the 200 day.
[23:47] Over 80% are above the 50-day. The 50
[23:49] days are point or pointed upward. Sorry,
[23:52] the slopes are pointing up. You get all
[23:54] of these healthy things. So with inside
[23:56] of consolidation, that's why I created
[23:57] this AI consolidation playbook. So had a
[24:00] lot of people reach out. Where was the
[24:02] consolidation? I put it back in again
[24:04] this week. Um remember for the pullbacks
[24:07] and everything there. This gives you I
[24:09] gave you a prompt for the pullback
[24:11] hunter. It'll come up with a list of the
[24:13] names that are the best ones based on
[24:16] the sheets that you have. Here's part
[24:18] two of the AI skill architecture went up
[24:21] on the site this weekend. That way for
[24:23] the hedge fund analyst skill, you can go
[24:26] build your own. So for all of you that
[24:28] have done the knowledge brain that are
[24:29] feeling more comfortable on either
[24:31] claude or codeex, you're going to be
[24:33] able to just upload those and do them.
[24:35] Now for the sign of just whether you
[24:38] should be worried, again, I'm going to
[24:39] say I'll show this again and again. uh
[24:41] not every week but at least every month
[24:43] when revisions start turning negative
[24:46] when half of the companies all of a
[24:49] sudden are getting negative revisions
[24:51] and nobody's getting upward revisions or
[24:53] if no one gets an upward revision and 20
[24:56] companies get a downward reision re
[24:57] revision you're going to start seeing
[24:58] some red bars right now we are still
[25:02] great this is the US estimate revisions
[25:05] again S&P peaks here revisions start
[25:08] going down red starts showing up. That's
[25:12] what needs to happen.
[25:15] Here's Europe. Europe just posted its
[25:18] biggest one in the last two years. Um
[25:22] Europe was suffering. They didn't have
[25:24] it. But look at this. Going higher.
[25:26] Starting to see the benefit in Europe.
[25:28] And on the global basis again, sitting
[25:31] near the highs in just every week is
[25:34] just strong. Um payrolls this week. Uh
[25:37] again, I I I I read the payroll. I go
[25:40] through this. I'm so bored of people
[25:43] just not taking this. Especially with AI
[25:45] guys, the aggregate weekly payrolls is
[25:47] the most important thing. Weekly hours
[25:50] are not turning higher. They are sitting
[25:52] below the levels that they were from the
[25:54] period after the great financial crisis
[25:56] into COVID. Ours are not expanding.
[25:59] We're having a nominal GDP acceleration.
[26:01] I listen to a lot of macro people, which
[26:04] I respect, that are saying wage
[26:05] inflation is going higher, the jobs
[26:07] market is tight, blah blah blah. None of
[26:09] that's true yet. Could it get there? I
[26:12] guess. I don't think it will. But one
[26:14] thing is certain. If we're at the point
[26:16] of AI agents, I wouldn't be getting too
[26:18] optimistic. Particularly when again
[26:19] these jobs are being created in health
[26:21] care. This is health care jobs,
[26:23] healthcare jobs, healthcare jobs. It is
[26:25] dominating the monthly numbers. This is
[26:27] the aggregate aggregate uh payrolls
[26:30] which takes the weekly hours, the wages
[26:32] and the number of people hired. And we
[26:34] are still sitting at very very boring
[26:38] levels. The same levels that were going
[26:40] on past the great financial crisis. So
[26:43] there's no acceleration here as the AI
[26:46] boom is happening. Here it is on a
[26:48] rolling three-month basis of the
[26:49] aggregate. So again, we're just around
[26:52] the same level we've been during okay
[26:54] times. There's nothing great going on.
[26:56] There's nothing horrible going on. All
[26:58] right. To Worsh, if you can get a
[26:59] chance, you can go into YouTube. You can
[27:01] see him interviewed by Sarah Isen from
[27:03] CNBC.
[27:04] Uh Kevin War spoke at the ECB forum. So
[27:08] let's go through what he said. We've
[27:09] seen this rejected forward guidance.
[27:11] You're just going to see a lot less
[27:12] information from the Fed. It's just
[27:14] funny that the first press conferences
[27:16] he does, he's hawkish
[27:18] and now we're stuck in this limbo where
[27:21] we have no idea. But he did speak. The
[27:23] Fed should not spoon feed markets. If
[27:25] people thought the Fed would tolerate
[27:27] inflation above 2%, they would be
[27:29] disappointed. Of course, he has to say
[27:31] this. This isn't a He doesn't want
[27:33] inflation higher. I don't know why this
[27:35] was a a big story in some hawkish thing
[27:38] or people that talk about it. The Fed
[27:40] independence. That's obviously important
[27:42] with what went on the last couple years.
[27:44] This is an important part on AI and
[27:47] productivity. He said the improvement in
[27:48] AI models is moving at an exponential
[27:50] level and called it hyper Moore's law
[27:53] stuff. He suggested that current
[27:54] business surveys may be underestimating
[27:57] how quickly AI adoption will show up in
[27:59] the economy.
[28:00] Again, this means he is in he's on top
[28:04] of this. He follows AI. He gets AI. I I
[28:08] really would be listening that if he
[28:10] believes AI is about to do this, how
[28:13] quickly AI adoption will show up in the
[28:14] economy, why would he raise rates? And
[28:18] I'm going to go through this whole thing
[28:19] because you had banks saying three times
[28:22] as of I think Bank America said three
[28:24] times. I could not disagree more and I
[28:26] don't even understand where it came
[28:27] from. And I'll go through again why this
[28:29] makes no sense to me at with uh
[28:31] inflation and wages. But regardless of
[28:34] what you believe will happen if he's a
[28:37] pro- AI person, why would he raise
[28:39] rates? I just don't even get the sign.
[28:41] Why would he raise rates to get ahead of
[28:44] something when he believes deflationary
[28:46] pressures and job impacts? Those are the
[28:49] two things that AI brings. Deflationary
[28:51] pressures and at the same time jobs
[28:53] disruption. That's what it brings.
[28:55] There's no question about that. If he
[28:57] believes we're entering into that, this
[28:59] is gets back to the Allen Greenspan
[29:00] thing. We are in the first or second
[29:02] inning of this revolution. We haven't
[29:04] even started, guys. He expects jobs to
[29:06] be greater and prosperity to be stronger
[29:08] over time though the timing matters for
[29:11] the Fed's dual mandate. So he's
[29:13] acknowledging the fact that and again
[29:16] what they have to focus on is inflation
[29:19] and wages and what's going to go if we
[29:21] have higher inflation but the jobs
[29:23] market is weaker because the
[29:25] displacement is happening before the
[29:27] rehiring gets he's got a dual mandate.
[29:30] He's got to focus on it. So both of them
[29:32] have to be moving in the same direction.
[29:35] sees AI as a major paradigm shift for
[29:38] central banking itself. Okay, again I'm
[29:42] favorite economic indicator. He said his
[29:44] hope is that in 9 to 12 months the Fed
[29:46] will be using new technologies to
[29:48] understand the real economy in a much
[29:50] more contemporaneous real-time way. It's
[29:53] very important stuff.
[29:55] Uh Fed is going back to first
[29:56] principles. Nothing new there except for
[29:59] the fact that central banks got used to
[30:01] suppressing volatility. uh higher VA
[30:04] higher letting things you know if the
[30:06] market corrects 10% not stepping in and
[30:08] doing something as long as it's not
[30:09] something big um I mean honestly they
[30:12] haven't really had to do that uh aside
[30:15] from SVB uh but we'll go see what's
[30:17] going on um task forces are not meant to
[30:20] prejudge outcomes this is on the task
[30:22] fund side but it's meant to bring the
[30:24] best minds in he wants interest rates to
[30:26] be the monet he wants monetary policy to
[30:28] be the tool because he wants the balance
[30:30] sheet to be reduced used. He made the
[30:33] point that it took 18 years to get into
[30:35] the current large current state of the
[30:36] large balance sheet and that it would
[30:38] take more than 18 weeks to get out of
[30:39] it. So, he's just telling you he's going
[30:41] to do it when he can. Um, he was upbeat
[30:43] on US growth. Worsh came across as a
[30:46] hawk hawkish reformer, but not in a
[30:49] simplistic rates now way.
[30:53] It needs to stop acting like it's still
[30:55] in the post208 crisis and overguiding
[30:57] markets. So, that's his thing. Now the
[31:00] reason I want to bring this up is
[31:01] because one of the stories and I think
[31:02] one of the the the important stories has
[31:05] been real two-year rates. Now this is
[31:07] real two-year rates inverted and I
[31:09] highlighted here because this is the end
[31:11] of March. Now on here are Bitcoin, gold,
[31:15] uh silver, the dollar and then this blue
[31:18] line here is inflation expectations
[31:21] inverted. So at some point this white
[31:25] line started to impact the debasement
[31:28] trade.
[31:29] And what started happening is, oh, okay,
[31:31] the Fed's going to raise rates. And this
[31:32] is basically when because inflation has
[31:36] come down and rates stayed the same and
[31:38] actually went higher in terms of
[31:39] expectations what the Fed would do, all
[31:41] of these trades started to sell off
[31:43] together. Um, the dollar was rallying.
[31:45] So that's inverted. but between the
[31:47] dollar, gold, silver, and bitcoin.
[31:51] And yet inflation
[31:53] expectations on the swap for two years
[31:57] are now at the lowest level of the year.
[32:01] Yeah, I'm going to guess that this is
[32:03] all based on belief that the Fed is
[32:05] going to do something. Now,
[32:08] this is the chart of rate cuts out to
[32:11] the end of this year. So we've gone to
[32:14] where the December
[32:16] uh end of this year what has happened
[32:19] into the expectations. Well, now we're
[32:21] into the hiking side. So I wanted to
[32:23] just show where we broke this and
[32:25] especially here. This is exactly where
[32:27] it was. This is the May period where up
[32:29] the Fed's going to hike. That had an
[32:31] impact on things. And so if people are
[32:33] right and the Fed's going to hike, I
[32:35] don't think that's going to happen. But
[32:36] if we get three hikes, I don't think you
[32:37] want to be near gold. I don't think you
[32:39] want to be near silver. And I don't
[32:40] think you want to be near Bitcoin. I
[32:41] don't think the Fed is going to raise
[32:43] rates. So, if that message is going to
[32:45] be delivered somehow or if the market is
[32:47] now positioned for it, which is what
[32:49] we're seeing because we've got crowded
[32:50] positions and all of those trades the
[32:52] opposite way now, meaning they're all
[32:54] playing for the Fed to hike rates. It
[32:57] took a while, but if you go through all
[32:58] the com uh coot positioning in dollar
[33:01] positions, uh you go look at what
[33:03] happened in dollar yen, people are just
[33:05] very crowded now into long dollar
[33:06] trades. So, if we get an unwind the
[33:08] other direction, I think it's good for
[33:10] gold, good for silver, good for Bitcoin.
[33:11] You guys know that that's the majority.
[33:13] That's where I've rotated the majority
[33:14] of my AI uh infrastructure money,
[33:17] particularly on the semi side. Uh I
[33:19] still have Marll and I still have
[33:21] Enterrris and I still have Fluence and
[33:23] some other ones that I've I'm in.
[33:24] They're not as large as the memory side
[33:26] was except for Marll. Uh but I've moved
[33:29] into Eli Liy. I've moved into uh a bunch
[33:31] of silver and Bitcoin names. So, here is
[33:35] the overlay of the 10-year swap rate uh
[33:38] inflation swap overlaid with 10ear
[33:41] rates. So, the question is when people
[33:43] say and I listen to people say this that
[33:44] the reason rates were going down is
[33:47] because the market is sensing peak
[33:48] growth.
[33:51] The market is following inflation. The
[33:53] only thing that's not right now is it's
[33:55] not playing exactly with it. So, if we
[33:58] get inflation data that starts to
[34:00] suggest that things are different, maybe
[34:01] that'll change. Here's crude sitting
[34:04] down here and the white line here is gas
[34:06] futures. So the crack spreads have
[34:07] widened because the gas futures here.
[34:09] Gas at the pump is down to 380 something
[34:12] from up near 4 and a half. So you've
[34:14] seen a 17 18% decline. But if crude
[34:18] stays down around this level around 70
[34:20] bucks, you're going to see gas futures
[34:21] come down. The reason that's important
[34:23] is because we're already going to get
[34:24] the negative inflation side most likely
[34:26] in the next print for headline CPI.
[34:29] Currently for the June number we have uh
[34:32] slightly below zero and currently early
[34:36] at this point for July we've got minus.2
[34:39] from the Cleveland Fed. Well, if we get
[34:41] those numbers, we're moving the CPI
[34:44] which was at 420 down to three and a
[34:46] half year overyear. So, I just find it
[34:49] very hard with that going on for people
[34:51] to get all excited when they can
[34:53] basically jump on one thing which is PCE
[34:56] core which Oh, that's right. that's the
[34:59] one the Fed prefers. Well, let's go
[35:01] remind ourselves. Back in May, Kevin
[35:03] Worsh spoke in front of the Senate
[35:05] Banking Committee. And during his
[35:07] confirmation, hearing that the Fed's
[35:09] current preferred gauge, the core
[35:11] personal consumption easy. So hearing
[35:15] that the Fed's current preferred gauge,
[35:17] the core PCE, offered only a rough swag
[35:20] on inflation being short for scientific
[35:23] wild guess. Okay, this is Worsh mocking
[35:27] the PCE core. He has stated for a
[35:30] preference for trimmed gauges,
[35:32] especially the Dallas Fed's trimmed mean
[35:35] and the Cleveland Fed's median PCE.
[35:39] Well, here is the Cleveland Fed median
[35:41] PCE sitting down here. Not too much
[35:45] higher than it was in the period after
[35:47] the great financial crisis. So, yes. Is
[35:50] it about say 50 basis points higher?
[35:53] Yeah, that's a lot different. But here's
[35:54] the other thing. This is where the Fed
[35:56] funds rate was during this time. This is
[35:58] where it is now. We have the Fed funds
[36:00] rate way above this at this point. It's
[36:02] 80 basis points above. We've got
[36:04] restrictive monetary policy if he's
[36:06] serious about this compared especially
[36:09] to the prior decades. So why would he
[36:12] hike? Let's continue wages. The white
[36:16] line here is the Atlanta median wage.
[36:18] Back to the median again, 3.5%. Here it
[36:22] was when the Fed started hiking up at
[36:26] six and change. Here's where we are
[36:27] here. Basically, we are exactly the same
[36:31] on the wage side as we were from 2010 to
[36:34] 2020. I put this over the quits rate
[36:37] because the quits rate lines up with it.
[36:40] And the quits rates is is important. And
[36:43] the reason it's important is because
[36:44] it's a good sign of whether people feel
[36:46] it's okay to jump to another job.
[36:50] the mar the labor market is not strong.
[36:52] It is not strong. So using the backward
[36:55] way of just saying the number of people
[36:57] hired or using the claims whatever it is
[37:00] everyone has a job but the ability of
[37:03] going out and getting higher wages AI is
[37:05] having an impact. If you strip out
[37:07] health care there is no jobs market. So
[37:09] again look at where you have the quits
[37:13] rate.
[37:15] We're in the middle. I mean, I
[37:18] the wage right here, the orange line,
[37:20] quits rate here. Like, we're in the
[37:22] middle, guys. There's nothing there. If
[37:25] you go look over here, the effective Fed
[37:27] funds rate over the Atlanta Fed median
[37:30] wage. Again, here's where the median
[37:32] wage was from 2016 to 2021. This is when
[37:36] we saw an uptick. This is when they
[37:38] raised rates. Okay, so here's the Fed.
[37:41] They raised rates. We were here at the
[37:44] peak here. So, we're not too far from
[37:46] where they are. I just don't see a need
[37:48] at this point based on the data that is
[37:50] there. And oh, by the way,
[37:54] how we have forgotten the narrative that
[37:56] was in play for the prior two years that
[37:58] we ignore now. The federal debt path is
[38:01] worse than reported.
[38:04] And here is the CBO.
[38:06] How do people forget this? This is why
[38:09] you're long gold. This is why you're
[38:10] long silver. This is why you're long
[38:12] Bitcoin. the situation on this. This is
[38:15] the math. The math just gets worse. Now,
[38:17] as an AI guy, do I think this number is
[38:19] overstated? Yes, because I think we will
[38:21] be curing diseases and the mandatory
[38:23] spending won't be as much. But we're not
[38:26] there yet. And I don't know if
[38:27] everyone's going to get it, even if we
[38:29] are able to do that. So, the
[38:32] discretionary spending is very little.
[38:33] So when you get back to it, the
[38:34] mandatory spending for 2036,
[38:37] $7 trillion
[38:39] in net interest,
[38:42] and this is assuming that the Fed funds
[38:44] rate is here. If Kevin Worsh raises
[38:46] rates three times and fights in the the
[38:49] dreaded inflation, which is nowhere,
[38:52] I I
[38:54] people are this is PTSD on what happened
[38:57] before. All right, here we go.
[39:00] Application layer. Remember this stuff,
[39:04] everyone's long. Nobody's in this stuff.
[39:07] This is where Greg Brockman's talking
[39:08] about. This is where Scott Woo is
[39:10] talking about. He's talking about
[39:11] applications. Remember, companies are
[39:14] not adopting AI tools. They're adopting
[39:15] AI workers. Productivity, productivity,
[39:18] productivity. You start seeing profit
[39:19] margins go higher. Scott Woo again, we
[39:23] are already moving into a world where
[39:25] agents can perform hours of work.
[39:29] So, the KIX, the kicks, the insurance
[39:34] ETF
[39:36] or index. Yeah, this is not the ETF or
[39:40] maybe it is. I can't remember. Um,
[39:41] regardless, we're breaking out here on
[39:43] the insurance side after a long
[39:46] consolidation. Remember what I showed
[39:47] you on Korea?
[39:51] KRE regional banks. I think you're going
[39:54] to have a lot of consolidation with
[39:55] inside the regional banks. I think
[39:57] they're going to be buying up the
[39:58] smaller banks. Uh again, I think the
[40:00] bigger banks will be the AI ones. I
[40:03] think companies that can do this on
[40:04] their own books are going to buy up
[40:06] smaller banks. Put the same thing in.
[40:07] They're going to be able to immediately
[40:09] turn them. You have to think about this.
[40:10] If you're big enough to put AI into your
[40:12] business, and you're able to cut
[40:14] workers, you're going to be able to do
[40:15] the same thing with smaller banks that
[40:17] don't have the budget, don't have it.
[40:18] You're going to see a lot of
[40:19] consolidation with inside these
[40:21] medium-siz uh banks into smaller banks
[40:23] in my opinion. And if not, it'll come
[40:25] from the bigger banks. But you're going
[40:26] to see consolidation uh M&A. Uh I wanted
[40:29] to show this on the breath side. So
[40:31] remember all the Hindenburg stuff that I
[40:33] was highlighting about the market. Well,
[40:34] now that we've done enough shakeouts,
[40:36] we've done enough kind of consolidation
[40:38] here. We're back to 8%. This was on
[40:41] Wednesday. 8% of 52- week new highs in
[40:44] the S&P. So about 40 names out of the
[40:46] 500 with only one
[40:49] 52- week new lows. Now
[40:52] 13 of those 40 were in financials. Nine
[40:55] of those are in healthcare. You're
[40:57] looking for breakouts in them. You're
[40:59] looking for this. You see a lot of
[41:01] things in here. Let's go into the next
[41:03] one.
[41:06] Uh inside the insurance side, CB TRV,
[41:10] you've got some of these on there. You
[41:12] guys can go look at the charts yourself.
[41:14] With inside the PNC insurance side, AI
[41:18] dominates agendas. You're starting to
[41:20] see the same thing that I talked about
[41:22] with inside the infrastructure. They're
[41:23] starting to see it showing up on many,
[41:26] many levels. It's worth reading about
[41:28] it. In particular, I would go read on
[41:30] Travelers and go read on on All State,
[41:32] which are both two names that showed up
[41:34] on the 52- week new high list. So, the
[41:36] KBW insurance index worth looking at. I
[41:40] don't think you're going to see massive
[41:41] moves in these, but you go back and look
[41:43] at McKessen. If you can improve just a
[41:45] little bit on these bloated companies
[41:48] and get rid of some of the paperwork and
[41:51] make them more efficient, get rid of
[41:52] some of the call centers, you can bring
[41:53] a lot to the bottom line very quickly.
[41:56] All right, let's get into meta. Building
[41:58] a business to resell AI compute had
[42:01] everyone excited this week. Oh, they're
[42:03] going to that was this is this is not
[42:06] something to pay much attention to other
[42:08] than the fact that Meta looked at SpaceX
[42:11] valuation and recent deals to sell exit
[42:13] capacity and came to the conclusion that
[42:14] investors will look favorably.
[42:17] I happen to agree with this but remember
[42:19] in March Meta signed a 27 billion cloud
[42:22] service deal. In April they signed a 21
[42:24] billion expansion of their cloud
[42:25] services. Uh two weeks ago Bloomberg
[42:28] reported that Meta signed up rent one
[42:30] point.
[42:32] now all of a sudden they have excess
[42:33] capacity. I mean, it's really stupid to
[42:35] to to to leap to that side and not see
[42:38] that maybe it's because their company's
[42:41] under pressure because the stock is
[42:43] acting so badly. They've got a company
[42:46] backlash going on. So, let's just go
[42:49] through what they said in their
[42:50] earnings. We are still compute
[42:52] constrained. This is from their Q1
[42:54] earnings, most recent one. And even as
[42:57] we aggressively add capacity, demand
[42:59] keeps outrunning our own expectations.
[43:02] Compute is now strategic, not optional.
[43:04] They aggressively trying to secure
[43:06] capacity. The biggest need is inference
[43:07] capacity, not just training.
[43:10] Again, I don't I don't know. Continued
[43:12] to underestimate our compute needs even
[43:14] as we have been ramping capacity
[43:16] significantly. She ti tied that to
[43:18] faster AI progress, new product ideas,
[43:20] and growing internal use. they are
[43:23] building with flexibility in case they
[43:25] overshoot.
[43:28] That didn't make investors happy. So
[43:31] that is the reason why that I'm sure
[43:34] they're saying, hey, if SpaceX got away
[43:36] with it, maybe that'll allow us as we're
[43:38] doing this to say that we have that
[43:39] option so people at least put a put
[43:41] underneath. Um Meta's potential mega
[43:44] equity raise puts AI ambitions in
[43:46] delution focus. Remember after Google
[43:48] raised money, they talked about going
[43:50] out to raise more money. Why would they
[43:52] go raise more money if they already have
[43:54] excess compute? Why would any of these
[43:56] companies, why would Google do it if
[43:58] we're at the beginning of the end of
[43:59] needing uh compute? Uh this is more
[44:02] likely having to do with it. I think
[44:04] this is a good way to look at it is just
[44:05] for all of these companies, the three
[44:07] the three bad boys, Microsoft, Meta, and
[44:09] Oracle, the free cash flow, the price to
[44:12] free cash flow, negative over here,
[44:13] negative over here. I mean, at some
[44:16] point, if they're not getting it in
[44:17] quick enough, it's hurt. And here are
[44:19] their stock prices for Oracle, Meta,
[44:21] Microsoft. So you get this bounce in
[44:23] Meta. It came all the way right back
[44:24] down to here. These companies bounced
[44:26] slightly with it. All the companies that
[44:28] were hurt with it, the Neoclouds,
[44:30] they're still down. This was just a
[44:32] story again that got taken out of
[44:35] proportion and you'll just uh I'm sure
[44:38] not have to deal with it. And it's
[44:40] possible Meta starts showing uh revenue
[44:42] gains. I I doubt that's going to show
[44:44] up, but don't be surprised if we don't
[44:46] get some bounces in these names. they've
[44:48] been hurt so much. Um, this is the more
[44:50] likely thing is that the physical
[44:53] capacity could limit hyperscaler capex
[44:56] surprises. If they don't announce big
[44:58] bigger numbers, it's more likely to be
[45:00] because of the bottlenecks. And that's
[45:01] basically what I've been saying now for
[45:03] a couple months is the rate of change is
[45:05] going to go down. You're going to see
[45:06] disappointments or you're just not going
[45:08] to see the amount of surprises that you
[45:10] saw before. The worst case scenario for
[45:12] the US is becoming increasingly
[45:14] realistic and it's basically that we
[45:16] have few too few data centers.
[45:19] In particular, semi analysis put out a
[45:21] chart just basically showing we don't
[45:22] have enough of this. I'll get into that.
[45:24] I'll show you that chart in a little
[45:25] bit. The BIS put out something just
[45:27] showing the risk involved in it. And
[45:29] here is the semi analysis side just
[45:32] saying um how much gigawatts we need
[45:35] based on the growth in AI and chip
[45:37] supply. And we're just down here. We're
[45:40] not anywhere where we need to be. Now,
[45:43] just a quick thing on GLM 5.2.
[45:46] Um,
[45:48] again, American and European enterprises
[45:50] will ditch open AI and anthropic and
[45:52] adopt Chinese models. I don't agree with
[45:54] that, but again, uh, case concerning the
[45:57] worst case scenario for USA, Chinese
[46:00] open source keep getting this is from
[46:01] Mark Andre. So, again, you don't want to
[46:03] ignore Mark. Many smart people are
[46:05] saying GLM 5.2 2 is the first Chinese
[46:07] model to match and often beat the
[46:09] American big watch model. Incredible
[46:10] timing given our current events.
[46:14] This is the clawed moment.
[46:16] This is from the head of data bricks. So
[46:19] a company that would know the demand
[46:21] we're seeing at data bricks is
[46:22] astonishing. The world is going to see
[46:24] massive adoption of open-source
[46:27] LLMs.
[46:29] More companies will shift towards
[46:30] post-training their own models on top of
[46:33] the OSS models and owning the weights.
[46:37] Um, reminder, Gavin Baker said that
[46:40] we're going to go to more composable
[46:42] markets and said he had to challenge his
[46:44] thought process because of GLM 5.2. So,
[46:47] in my opinion, this does create
[46:51] a potential issue for the slowing down
[46:54] of the ARR for Enthropic. I believe that
[46:57] is a possibility. Now, remember, they
[46:59] have been a 10 timeser in terms of the
[47:01] revenue. You heard many many places say,
[47:04] "Well, if I multiply it again by 10 and
[47:06] then they'll be at a trillion dollars at
[47:08] the end of next year." Anything that
[47:10] starts showing that they're not going to
[47:11] hit 10 times, I think this will become a
[47:14] major story, which I think is realistic.
[47:18] I I do think that open- source models
[47:21] are going to be used by a greater
[47:23] portion of the country uh than people
[47:26] realize particularly as these expenses
[47:28] go and particularly when we get
[47:31] the hardware out there to be able to run
[47:33] it. All right, now to finish up the last
[47:35] few slides for Bitcoin.
[47:38] Reminder, here is the AI tech part V
[47:46] momentum. This gets really important. As
[47:48] this goes higher, it's getting harder
[47:50] and harder for people to speculate with
[47:52] inside the AI infrastructure trade. All
[47:54] of the headwinds I showed, I think
[47:56] you're going to make this not as easy.
[47:58] So, if going forward we're getting 40% a
[48:00] year, that's still a great number. It's
[48:02] better than the S&P will do, but it
[48:04] might disappoint people that are looking
[48:06] for eight and 10 baggers.
[48:08] So, now we go over to Bitcoin. Bitcoin
[48:10] sitting on its 60-day V at basically the
[48:13] lowest V it's been. um and it's been
[48:17] sitting down here now for quite some
[48:18] time. So, we've had a restructuring
[48:20] involved. You can thank Michael Sailor's
[48:23] um job for that. As people, as I said
[48:25] last week, when people are calling me up
[48:26] saying Michael Sailor is going to blow
[48:29] up Bitcoin, he's horrible for it. That's
[48:31] usually the point that the bottom comes
[48:32] in. So, I start looking a little more
[48:34] closely. Here is the rate cut chart
[48:36] overlaid with Bitcoin. So regardless of
[48:39] whether you like it or not, as we've
[48:41] taken out the rate cuts and actually
[48:42] gone to minus
[48:45] cuts, meaning hikes, Bitcoin has
[48:47] followed it lower. So if we get any kind
[48:49] of change right now or stabilization
[48:51] where this trend doesn't get as worse,
[48:52] maybe we'll see something. I just want
[48:54] to let you guys know that over the last
[48:56] 100 days,
[48:59] we are back where we were. So we're at
[49:03] minus 5.8% as of Thursday.
[49:07] That's pretty impressive. Meaning for
[49:09] all this bare market, the rate of change
[49:11] has been negative the entire time, but
[49:12] now we're getting less bad. And I think
[49:14] that's important if we start to break
[49:16] higher. You can see that the 20-day
[49:18] moving averages here. We need to see
[49:20] some positive technicals. And here we
[49:21] go. So, for the first time, we have
[49:26] divergences. And what I mean by that is
[49:29] we actually have
[49:32] lower lows and higher highs. And this is
[49:35] going back to July of last year. It's
[49:38] been a long wait. I've been looking at
[49:40] this. I have this up on my Bloomberg.
[49:41] I've been waiting for divergences and
[49:43] then I wanted to see a week where it
[49:45] happened on
[49:47] bad news.
[49:48] Clarity Act passing falls to 39% and
[49:52] President Trump discloses 1.4 billion in
[49:54] income. All right. Um I do want to leave
[49:57] you guys with one more thing on the
[49:59] Bitcoin side. again, now that we have
[50:01] hikes built in, if they just stay status
[50:04] quo, and Kevin Worsh keeps saying that,
[50:06] you've taken the pressure off. Trump
[50:09] hired Kevin Worsh, and even though he
[50:11] wants him to quote unquote fight
[50:13] inflation, fighting inflation with talk
[50:16] is very important, but the midterms are
[50:18] coming up. So, I find it highly unlikely
[50:21] for him to be too hawkish ahead of the
[50:23] midterms other than just say that
[50:25] inflation shouldn't be here. And if we
[50:27] get negative CPI prints, I do believe it
[50:30] gives him the ability to be more
[50:31] patient. That might be the side that
[50:34] ends up happening. So, I'll leave it
[50:36] there, guys. Again, I hope you had a
[50:37] great fourth. I'll see you next week.