Staffan Bergholm

733 posts

Staffan Bergholm

Staffan Bergholm

@staffanbe

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Sweden Katılım Haziran 2011
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Staffan Bergholm
Staffan Bergholm@staffanbe·
If you are interested in $IREN this is a good start. An excellent $IREN "for dummies". To go deeper follow: @Agrippa_Inv @FransBakker9812 @litigious_dulce @TheKamaHsutra @Umbisam @mikealfred This is week 2 of a decade long journey. Hop on the train that can't be stopped🔥
Andrew Wilkinson@awilkinson

I think I found a Picasso at a garage sale. But not the kind you’d think… Lately I’ve been thinking about how to capture some of the upside of this AI boom in my stock portfolio. But it’s hard. I’m a value investor. The idea of paying 30x earnings for NVIDIA almost physically pains me. Here are a few of the trade ideas I’ve sketched out: Self-driving vehicles: self-driving is already here, it's just not evenly distributed. I use it 90% of the time in my Tesla and it's phenomenal. Between their robotaxis are coming later this year and Waymo rolling out to more cities, it seems like an obvious assumption that in the next ten years most cars will be self-driving. Trades I've considered: Long Tesla for robotaxi and Optimus upside, short Uber/Lyft as their networks become obsolete. Risk: rollout could take longer than anticipated due to huge capital costs and regulation, Uber/Lyft could pivot. Compute and inference: The obvious plays - buy NVIDIA, ASML, and TSMC. Great companies but expensive multiples and premiums. Years of excess demand. Risk: geopolitical conflict in Taiwan, moat erosion as China and other competitors innovate. Frontier models: You can buy secondary in Anthropic, x.AI or OpenAI, but the valuations are huge, positions are difficult to come by, and you're also betting on a winner (this is notoriously hard to predict). Risk: the value doesn’t end up accruing to any of them/models become commoditized. Google: Another play is simply to buy Google, which owns DeepMind/Gemini and has a massive data moat. Risk: the innovator's dilemma, bungled AI rollout, ads/search business gets decimated by ChatGPT. SoftBank: The final idea I've considered is buying Softbank. It holds some OpenAI and other AI businesses, is investing in data centers via Stargate, owns 90% of ARM (whose chip designs are a small part of many critical AI components and GPUs), and is trading for roughly ⅓ of NAV. Risk: volatility/debt, as Masayoshi Son is known for wild bets. While these are all interesting potential options, I recently found an investment that offers a particularly interesting risk/reward... Last month, I got a call from my friend @kashramki, a value investor based in Toronto. We had gotten to know one another over a decade ago, when he worked at BCI, a large pension fund in my hometown. Since then, he had gone on to lead dozens of multi-hundred-million and even billion-dollar investments into infrastructure deals (mostly pipelines, datacenters, and renewable energy). He told me he was doing something radical: "I'm selling my entire personal portfolio and putting it all into one stock." When a smart investor says that, I lean in. I was surprised. Kash is a highly conservative and thoughtful guy and I'd never seen him be so "all in" on something. Usually I was the one telling him about my latest hare-brained investment while he crossed his arms and scratched his head, telling me about the litany of ways it could go wrong. He went on to tell me about a company called IREN. Public market investors have boxes in their minds. When they look at a company, they sort it into a box labeled "Good," for later research, or "Bad," which they discard immediately. Like expert poker players dispassionately folding hands, they have trained themselves to instantly dismiss any stock that comes with certain toxic labels - red flags that trigger an immediate 'pass'. Words like: - IPO - Cannabis - Biotech - and the dreaded Bitcoin IREN is one of these stocks. And when he explained it, I realized that Kash had found the public market equivalent of a Picasso at a garage sale. Here’s the backstory he gave me: In 2018, @danroberts0101 and his brother Will, both infrastructure bankers from Australia, started IREN ($IREN). Their thesis was simple: demand for energy and compute would grow significantly in the coming decades. They acquired a series of large, high power datacenter sites located near renewable energy plants. Their first few were in British Columbia, and they went on to acquire two massive sites in Texas, which are coming online in the next year or so. To date, they've been using the BC-based datacenters to mine Bitcoin. But they are far from Bitcoin bulls. Every Bitcoin they mine is immediately sold for a profit. They hold near zero Bitcoin long term and are simply doing arbitrage, making hundreds of millions of dollars from Bitcoin sales each year. The stock is currently trading at a market cap of around $2.3 billion with no debt. That is an illustrative adjusted 2024 run-rate EBITDA multiple of ~4.6x based on disclosures from the company (from page 16 of management's November 2024 presentation: illustrative 2024 EBITDA at ~$435m at $90k/Bitcoin). As of today, Bitcoin is at $99,480, so we can assume that number is a little higher. Their growth plans for this year, if executed as planned, could result in an even lower forward multiple. In the range of ~2.5-4x. Ok, so it's a potentially cheap stock (CC: @dirtcheapstocks). But how does this relate to AI? Two key things fuel AI: energy and compute. Both are in limited supply. We've all seen nuclear, semiconductor, and datacenter stocks go parabolic over the last year. That is because AI will require an almost unimaginable amount of energy and computation. Training AI models requires huge clusters of chips, typically Nvidia GPUs, and generally requires them to be in one location. These huge datacenters are already in thin supply and take time to build and permit. They are heavily regulated. IREN's new Texas facilities are significantly larger than industry averages in both land size and power capacity. For context, their Childress facility alone (750MW) is nearly four times larger than what is considered a normal modern data center (200MW), and their Sweetwater Texas site is almost double that at 1.4GW. I believe that IREN trades at a low multiple for two reasons: 1. They are investing massive amounts of capex in building out their two huge Texas datacenters (coming online in 2025/26) and those earnings haven't hit the P&L yet. 2. They are dismissed and miscategorized as a Bitcoin miner. Others are starting to wake up to this (see: Softbank/Cipher). If we simply value IREN as a traditional datacenter business and compare it to similar companies, we'd expect this business to generate datacenter free cash flow of ~$2 billion a year from their Sweetwater, TX 1.4GW site that is primed for AI compute starting April 2026. That is ~$2 billion per year from this one additional site. Added to its existing earnings, that's more than what the entire company is worth today. If we apply industry multiples to their long-term projected earnings (once the Texas sites come online), the math becomes almost laughably compelling. Using typical free cash flow multiples in the datacenter space, that gets you an enterprise value of ~$20-40 billion. 10 to 20 times where the company is currently trading. And that’s without valuing their Bitcoin business, which could be worth several billion on its own. And yes, I just heard you yell “BUT WHAT ABOUT DEEPSEEK???” through a mouthful of potato chips. Many point to DeepSeek's claimed $6M model training costs as evidence that compute demands might be cooling. While they've achieved big efficiency gains, this isn't the paradigm shift some claim it to be. As Anthropic's CEO Dario Amodei explained in a recent blog post, we've historically seen a ~4x per year decrease in AI training costs. DeepSeek's improvements are roughly on this expected curve, not dramatically below it. But more importantly, these efficiency gains don't reduce total compute demand—they get immediately reinvested into training even more sophisticated models. The path to AGI and ASI will still require massive amounts of compute, both for training increasingly complex models and handling the explosion in inference demands as AI applications proliferate. There’s a reason that Microsoft, Meta, and Google recently (post DeepSeek) announced they would collectively spend $220 BILLION on capital expenditures this year. The large majority of which will be spent on AI infrastructure. Back to IREN… So, we have a well-run company with no debt, ample cash flow generation, in an industry with huge excess demand, and a dirt cheap valuation. This is my kind of garage sale Picasso! As my friend @mohnishpabrai describes his favorite type of investment: “Heads I win, tails I don’t lose much." This feels like one of those. Even if I’m completely wrong, and AI compute isn’t the hot commodity I’m anticipating, the underlying datacenters should still be valuable. Even before AI came onto the scene, the US datacenter market was expected to grow at 9-10% CAGR through 2030. But, if AI does play out in a big way, those same datacenters could become Crown Jewels that could spit off huge amounts of cash from training and inference compute. Toll roads en route to the AI revolution. So, all this is to say, I bought the stock. A relatively small position for me. A few % of my portfolio mixed with a few other bets on frontier models, Google, and semiconductors. Of course, like all investments, this has risk. Here are a few of the best arguments for why IREN doesn’t pan out as I’m anticipating: • They could dilute shareholders excessively. • They could fail to capture the AI datacenter opportunities by favouring their past strategy of bitcoin mining, all in the hopes that bitcoin goes to the moon. With an 18-month payback period on their bitcoin hardware, the case for growing their bitcoin operations is very compelling, but it is only as sound a strategy as the price of bitcoin itself. And who knows what it will do tomorrow? • Will they find a highly creditworthy counterparty for their mega-site in Texas? They could fail to demonstrate to the hyperscaler community that they have sufficient construction or operating experience to build and manage a large AI datacenter, especially in the middle-of-nowhere-Texas, where highly skilled datacenter operators are scarce. • Bitcoin prices could drop to the point where mining is no longer profitable (around $30,000)—although I would argue the datacenters themselves are still valuable in this scenario. If you wanted to get clever, you could buy puts on a Bitcoin ETF to cover this scenario. But overall, I think it offers a good risk/reward. I believe the underlying datacenter assets are valuable even if AI plays out very differently than expected. I welcome any thoughts and critiques :-) Is this a Picasso or a cheap reproduction? Roast me! Important Disclaimers: IREN stock is volatile. It swings around a lot, so if you buy, buckle up and be ready to hold for a few years. The value here depends on management delivering on their planned expansion. I'm just a guy on the internet sharing thoughts. Not a financial advisor, and this definitely isn't investment advice. Yes, I have met with IREN's IR team, but everything I've shared comes from public sources - SEC filings, presentations, and public statements. Reality might look very different from the scenarios discussed. Datacenters and crypto are wild markets with plenty that could go wrong - competitive pressures, regulations, market swings, geopolitics, you name it. I own IREN shares and some of the other stuff mentioned here. Might trade them anytime. Could make me biased. Do your own research, talk to actual financial advisors, and don't bet the farm. Past performance doesn't predict the future.

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BitcoinAIGuy
BitcoinAIGuy@BitcoinAIGuy·
IM ORDERING SUSHI FOR LUNCH SERENITY IS EATING RAMEN
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RKA Scope
RKA Scope@RKAScope·
"Area 51 Open House" - Had a bit of fun with this one.
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Staffan Bergholm
Staffan Bergholm@staffanbe·
@aleabitoreddit You know this is FUD, still doing it You probably talk someone into selling IREN based on this garbage Shame on you
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Serenity
Serenity@aleabitoreddit·
Do you guys think there’s only $5,650,000,000 dilution to go with $IREN? Very surprising that people haven’t switched to $NBIS or other names if you’re long Neoclouds. One already has confirmed funding with $NVDA + convertibles from institutions. The other is likely actively selling new shares on the open market to get funding off retail shareholders. The sad reality is: $IREN simply cannot monetize the rest of their capacity without using that. It’s not “optionality”. Financial structure nuance matters when you’re choosing winners for equity appreciation. Nebius is clearly has the better financing structure and this is already showing up in YTD returns.
Serenity tweet mediaSerenity tweet media
Serenity@aleabitoreddit

$IREN filed to dilute $6,000,000,000 at a $11.7B MC. That is not noise. This is Iren's way to monetize their 4.5GW capacity by selling all those new shares onto the open market. If you want some history on how this turns out: Look at $BKKT that crashed 99% with Mike and $IREN board of directors history with excessive ATMs. Or his recent company $ASST. It’s accretive to the company and executives: Because it wipes out all retail shareholders and they can always issue SBC. So they don’t actually care what stock price it needs to be at to sell. After they’re finished, they have $6B in new cash to use for scaling without paying interest. But the reason why convertible notes with interest, and $NVDA funding balance sheets is much better for retail capital: Is because it doesn’t wipe out retail equity to achieve this. Because at this point $IREN looks like the $AMC of datacenters with a dwindling moat, and looming $6B in shares sold into the open market. Reason I post about $IREN is because - people dismiss a $6B ATM as “Noise” - it’s one of the most popular retail “buy the dip” companies that they’re buying into a $6B dilution machine - people still don’t understand the risk at all. - the amount they have now is not enough to finance GPUs/GW capacity monetization. - they likely will have to use the ATM, it’s not “optionality” Again: I have zero positions in the company. I’m just warning retail investors that this ATM structurally wipes out your equity appreciation by how structural mechanics of $6B+ ATMs work. Because $IREN likely needs to sell new shares at any price to monetize their GW, otherwise there would be zero need to file it. Executives actually don't need to care because they can make up for stock price dropping by issuing SBC like $SNAP. If you have to wonder if your equity gets wiped out from an excessive ATM: There are better longs out there than $IREN.

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Staffan Bergholm
Staffan Bergholm@staffanbe·
Thank you for the warning! I was lucky enough to read through this kind of noise when the stock was at $5 two years ago and went pretty much all-in. It changed my life. I have been monitoring every move the management has made the last two years and they have earned my trust. I know what I own. Looking at their track record they deliver on time and provide value for shareholders. If you have been following the company you know that. You are the one who creates noise
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Serenity
Serenity@aleabitoreddit·
$IREN filed to dilute $6,000,000,000 at a $11.7B MC. That is not noise. This is Iren's way to monetize their 4.5GW capacity by selling all those new shares onto the open market. If you want some history on how this turns out: Look at $BKKT that crashed 99% with Mike and $IREN board of directors history with excessive ATMs. Or his recent company $ASST. It’s accretive to the company and executives: Because it wipes out all retail shareholders and they can always issue SBC. So they don’t actually care what stock price it needs to be at to sell. After they’re finished, they have $6B in new cash to use for scaling without paying interest. But the reason why convertible notes with interest, and $NVDA funding balance sheets is much better for retail capital: Is because it doesn’t wipe out retail equity to achieve this. Because at this point $IREN looks like the $AMC of datacenters with a dwindling moat, and looming $6B in shares sold into the open market. Reason I post about $IREN is because - people dismiss a $6B ATM as “Noise” - it’s one of the most popular retail “buy the dip” companies that they’re buying into a $6B dilution machine - people still don’t understand the risk at all. - the amount they have now is not enough to finance GPUs/GW capacity monetization. - they likely will have to use the ATM, it’s not “optionality” Again: I have zero positions in the company. I’m just warning retail investors that this ATM structurally wipes out your equity appreciation by how structural mechanics of $6B+ ATMs work. Because $IREN likely needs to sell new shares at any price to monetize their GW, otherwise there would be zero need to file it. Executives actually don't need to care because they can make up for stock price dropping by issuing SBC like $SNAP. If you have to wonder if your equity gets wiped out from an excessive ATM: There are better longs out there than $IREN.
Serenity tweet mediaSerenity tweet media
Bony@BonyBallf2

@aleabitoreddit @Kaizen_Investor I feel like you are way too much focused on the dilution. If they excecute their GW pipeline properly the dilution is just noise. Demand for available GW is so massive and i do think most data centers will have massive delays and also though time to get financed. So imo $iren ☝️

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Staffan Bergholm
Staffan Bergholm@staffanbe·
@btcjvs Their cost for mining is north of 160k per btc, so the avarage cost per btc they have acquired is way higher than btc ath. Such brillant execution makes the CEOs $26k per hour salary a bargain
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James Van Straten
coindesk.com/markets/2026/0… The AI pivot continues, over 15,000 BTC sold from MARA (After buying the top, now selling near the bottom) My calculations over 150,000 BTC have been sold from miners. Another 50,000 BTC or so to go.
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Staffan Bergholm
Staffan Bergholm@staffanbe·
@BitcoinAIGuy Yeah, and with that money the just have to take the corporate jet to their flagship DC, open the shipping containers and hot swap ASICS for Vera Rubins
Staffan Bergholm tweet media
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BitcoinAIGuy
BitcoinAIGuy@BitcoinAIGuy·
$MARA sells a material amount of Bitcoin… just like I predicted…2 weeks ago.
BitcoinAIGuy tweet media
BitcoinAIGuy@BitcoinAIGuy

@dollar_mara They can obviously continue generating options income from their HODL, but it’s likely they will slow down bitcoin accumulation or sell a material amount of their HODL to scale the AI business

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Staffan Bergholm
Staffan Bergholm@staffanbe·
@Rajatsoni Brilliant, you know your suck and are lazy but you make a ton of many Reminds me of my life
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Staffan Bergholm
Staffan Bergholm@staffanbe·
@Rajatsoni When looking at the large institutional ownership in MARA you really wonder where the term "smart money" came from.
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Rajat Soni, CFA
Rajat Soni, CFA@Rajatsoni·
This guy is being paid $42M to run a Bitcoin company that buys the top and then sells the botton 42 MILLION DOLLARS
Rajat Soni, CFA tweet media
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𝒰𝓂𝒷𝒾𝓈𝒶𝓂
$MARA Worst. Management. On. Earth => Retarded. PS ... +10% on the N-th verified proof => market is even more retarded
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Staffan Bergholm
Staffan Bergholm@staffanbe·
@mikealfred Looking at the large instituional ownership in MAR you really wonder why they are called "smart money"
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Staffan Bergholm
Staffan Bergholm@staffanbe·
@BitcoinAIGuy Yeah, the control that market makers have on the price, combined with the strong support at ca $40 has made this stock relativly predictable lately.
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Mario
Mario@Mario20253035·
The man building a trillion watts of compute for America just liked a thread about a former Kremlin tech asset building US AI infrastructure unchecked. This isn’t about tickers. Wake up.$NBIS
Mario tweet media
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The God Particle
The God Particle@_Sgr_A_Star·
One other thing that caught my eye on the second pass. Lenovo says: Together, IREN and Lenovo configured and deployed 648 Lenovo ThinkSystem SR680a V3 nodes, forming clusters featuring NVIDIA® HGX™ B200 GPUs. In other words... past tense.... as in they've already deployed these 5,184 B200 GPUs. They then go on to say that the B300s are being prepared. The team is preparing to introduce NVIDIA® B300 servers at the same site, from an order of 440 Lenovo ThinkSystem SR680a V4 nodes with NVIDIA HGX™ B300 GPUs. So 5,184 B200s already deployed with an additional 3,520 B300s probably right behind them. Nice! 👀👀👀👀👀 (Should we read anything into the fact that Lenovo used a picture of the Prince George site on their website. Hmmm)
The God Particle tweet media
The God Particle@_Sgr_A_Star

Great find @Bare_Birk! I'm surprised at the lack of PR -although the scale here is pretty small relative to the procured/existing size of $IREN's fleet (150k), it's still large enough in size to move the needle. 648 nodes × 8 ≈ 5,184 GPUs (B200) 440 nodes × 8 ≈ 3,520 GPUs (B300) This confirms the rumor that $IREN may have been procuring GPUs from someone other than Dell. And depending on delivery dates, these GPUs may also explain why Q1 has seen a continued decline in estimated hashrate. I hope the delivery targets for these GPUs is ahead of the 50k recently ordered from Dell US/Canada as it would partially explain why they were still taking miners offline in Q1. (i'll make a separate post on this later).

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Frans Bakker
Frans Bakker@FransBakker9812·
With @NVIDIAGTC behind us, Looking back at this space from 2 weeks ago with @IREN_Ltd co-CEO @danroberts0101 — I'm looking forward to our next set of spaces with industry guest speakers. What say you @vipulved, @the_bunny_chen, @lqiao ? 👀 Let's talk about autonomous intelligence, application agentic space, throughput x tokenspeed, and AI infrastructure optimized for inference workloads Join me?
Frans Bakker@FransBakker9812

x.com/i/spaces/1AKEm…

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𝐀𝐠𝐫𝐢𝐩𝐩𝐚 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭𝐬
Why I’m Not Invested in $NBIS First of all, let me make one thing clear: contrary to what you might think, I’m not an $NBIS bear. But then again, I’m not invested either… and for good reason. Nebius positions itself as a holistic cloud platform with superior software technology that caters to AI-native start-ups and enterprise clients. That in and of itself isn’t a problem, but it means they're directly competing against the largest hyperscalers in the world, who are also targeting that exact cohort with their own set of software solutions (Google Cloud, Microsoft, etc.). Nonetheless, if $NBIS can successfully differentiate itself with its core offerings, it could gain some pricing power, which is the company’s best shot at one day becoming profitable. The problem is, $NBIS is VERY far away from that… Looking at the last quarterly filing, the company’s gross expenses + depreciation equaled ~110% of its revenues. In other words, these two cost categories exceeded the value of the underlying revenues ($249.2m vs. revenue of $227.7m). To be fair, last quarter Nebius still used a 4 year depreciation schedule on GPUs, which is rather short and overstates depreciation. Adjusting for a 5 year depreciation schedule (industry standard) leads us to $144.6m of depreciation. Then, adding gross expenses of $68.5m on top gets you to $213.1m, which equals 93.5% of revenues. And keep in mind, this figure does NOT include the hundreds of millions in costs spent on SG&A, R&D, and financing (interest). So what’s my point with this? The problem is, these are STRUCTURAL costs, the kind that scale with revenue, meaning you can’t easily grow out of them through sheer scale. My point is that $NBIS' pricing power is nowhere to be seen, at least not relative to its costs. Now, most $NBIS investors would probably argue that we are still "early" and that pricing power will show up eventually. My problem with that argument is that the company seems to be allocating a very large chunk of its pipeline towards servicing hyperscalers through bare metal offerings, the kind of “bulk” service that does NOT command significant pricing power. That means, fundamentally speaking, $NBIS is likely very far away from actually becoming profitable. And while right now everyone is focused on headline figures like ARR, the market’s patience will run out eventually... it ALWAYS does for every company. One day, the market will demand to see real profits flow down to the bottom line, and I’m not sure if $NBIS is structurally positioned to deliver on that any time soon. To make matters worse, investors can’t even model out the economics of these large hyperscaler deals, because management provides absolutely 0 information on anything except headline figures. We don’t even know the CapEx associated with these deals, or at the very least, the number of GPUs they have to purchase to fulfill their end of the bargain. Contrast that with a company like $IREN, which gives you all the necessary information to build an entire P&L and cash flow model over the full course of the contract length, which is exactly what I’ve done extensively for our subscribers on Substack. I have a VERY good idea of how much actual post-tax net income $IREN is making in every year of their hyperscaler contract. There are other reasons that further point in the same direction, but I won’t get into them right now. If they fix their cost structure one day, I’m happy to reconsider my stance. But as of today, their “black box” approach to publishing details on their largest deals makes them uninvestable for me.
𝐀𝐠𝐫𝐢𝐩𝐩𝐚 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭𝐬 tweet media
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