u/YvesSaintPige

YvesSaintPige's September 2026 Portfolio Review

YvesSaintPige's September 2026 Portfolio Review

September 2026 Portfolio Review

September continued with a solid march upwards of another 10%+ for my holdings. I didn't make any buys or sells during the month, only my regular weekly contributions. $SNOW had earnings at the beginning of the month, $MU had their earnings at the end of the month.

Earlier in the month I did an exercise trying to steelman the bear cases for AI that most concern to me. It is good context for my review of each company and the macro. Link to that post here: https://www.reddit.com/r/GrowthStockInvesting/s/RcjhEQkeTK

Nominal is pure % change, Real takes into account contributions made.

Monthly Gain: Up 13.0% Nominal // Up 12.2% Real

Yearly Gain: Up 75.2% Nominal // Up 50.3% Real

All Time Gain (from 2019): Up 78.5%

$NBIS // Up 20.3% // 45.8% Allocation

Nebius continues to headline the portfolio by a large margin. Fastest growth one can find, in an industry/sector expanding exponentially, with a leadership team who is executing flawlessly. They are a vertically integrated AI cloud company that designs, builds, and operates its own data centers, GPU clusters, and full software stack, renting AI compute to everyone from startups to the biggest companies in the world, Microsoft and Meta.

There was a decent amount of news this month. Starting on 9/8, with Palantir naming Nebius their preferred sovereign AI infrastructure partner, so Palantir's commercial customers can run their own models with control over compute, data, and the models themselves, enabled by Nebius. While there is no dollar value, contract, or concrete timeline, this announcement is further validation that Nebius is trusted by major institutions.

Then, in mid-September, came the huge announcement from major AI executives calling for slower pace in AI development. Dario Amodei initiated the call with a detailed essay, "We Must Pace the Frontier." OpenAI, Google, Microsoft, and other leaders followed in agreement. Many are skeptical that these major AI names are attempting "regulatory capture," trying to close the door behind them to lock in their positions as top dog in the sector, as they face more pressure from potentially open source models. Other people are more inclined to take them at their word and share in the fear that we could irreversibly mess up this moment if we don't take care during AI's initial development. I fall more in the latter's camp, but see both arguments. However, when it comes to Nebius and my other AI stocks, I do not see being cautious and intentional about AI development in any shade of negative light. In fact, I think this intentionality would be much better overall compared to a no-holds-barred race to develop "the best" model at all costs, or reach AGI/RSI/SGI first etc. Bottom line is: this technology is inevitable, so we should move forward with purpose.

That inevitability gained another proof point on 9/23 as Nebius announced another round of Token Factory price increases equaling up 18.3% on average. Nebius also launched a pilot to try a new idea that involves auctioning their endpoints off to let the market set the price for capacity. During the pilot they cleared their highest Blackwell price to date. Demand is sky high. Live compute remains the bottleneck and customers are willing to pay. Also on 9/23, Nebius joined CoreWeave in the Platinum tier of SemiAnalysis' ClusterMAX ratings, a high technical benchmark confirmation. Finally on 9/30,

AIB Data Centers signed a capacity contract with Nebius. This partnership, and others like it, will help build out the needed capacity that Nebius will operate. These contracts help spread the CapEx load so that risk isn't solely on Nebius and the funding isn't through pure debt or dilution.

Nebius has done nothing but affirm my belief in the company. I expect to add more on weakness, despite how much of my portfolio it already makes up.

$MU // Up 15.1% // 18.7% Allocation

Micron is the second largest position in my portfolio for good reason. They are one of three global DRAM makers and the only US based HBM producer, supplying the memory and storage that have become the tightest bottleneck in the entire AI buildout. Their business is rapidly shifting from cyclical commodity to multi-year contracts. I am making a strong bet on them because I don't think the market has fully digested this company's role in the AI buildout and what it means economically. Their valuation is comically low right now, whichever way you look at it; TTM P/S = 9.1, Forward P/S = 4.7, TTM P/E = 14.5, Forward P/E = 6.1. Think about it this way, Micron trades at 6x forward earnings, while projected to out-earn every single Mag-7 company in quarterly operating income, who trade at 25-35x their forward earnings. The gap is the market pricing in a bunch of supply coming in to satiate the demand spike we're in the midst of right now. I simply don't think that supply will have as negative an impact, as quickly as is being projected right now.

Micron had Q4 earnings on 9/30, the last day of the month. They had another blowout quarter. Revenue came in at $54.2B, beating last quarter's guide of $50.0B by 8.5%. Revenue was up 31% QoQ and 379% YoY. Gross Margin (which is the metric to watch for commoditization) was 87% versus the 86% guide. Memory prices continue to increase along with demand. DDR5 prices are up 100%+ in 2026 alone. Forecasts saw another 10-15% increase for DRAM ($39.8B {73% of revenue, +343% YoY}) and 15-20% increase for NAND ($14.1B {+526% YoY}) prices from this quarter to the next one. These prices are not commoditizing yet, they are rising and accelerating. Their Strategic Customer Agreements signed this quarter was 26, up from 16 last quarter. 75% of expected 2027 output is already committed. 2028 output is already being negotiated now. Not only did they knock this quarter out of the park, they also gave impressive guidance. Next quarter revenue guidance is $61.5B, (13% QoQ, 350% YoY), gross margins of 86.3% (which they called the floor for FY27), and said supply-demand will be tighter in 2027 and 2028, than 2026, with no current visibility into when it might balance out again. That is bullish beyond belief in my view. Again, especially at this valuation, these business numbers are a screaming buy.

$NVDA // Up 5.6% // 12.8% Allocation

Nvidia is the leading designer of GPUs, CPUs, networking, and software stacks that constitute most of the world's AI compute. They are the central supplier, investor, and platform layer of the entire AI buildout. The stock has been mostly stagnant for a while, but I am happy holding as the business continues its unprecedented run as the massive leviathan powering the entire emergence of an AI-enabled world.

On 9/2, they agreed to acquire Hugging Face for $12.9B (including a $1B retention program), a distribution hub of open-source AI, where models, datasets, and apps actually live. This helps anchor the open model ecosystem to Nvidia hardware and CUDA by default, widening their moat a little. On 9/9, they expanded their AI infrastructure into a new geography through a partnership that gets Australia's data center ecosystem involved. A day later on 9/10, they released details on a Palantir partnership about sovereign intelligence for critical supply chains. That same day it was reported that Nvidia was reportedly weighing a $10B backing of Anthropic's IPO. This aligns with the circular financing bear case that I discussed earlier this month. Making equity stakes in the labs that buy their own chips is a move that comes with both advantages and risks. Side note, if Anthropic does IPO, I will most definitely look into starting a ~5% position or so.

On 9/17, Nvidia announced a $2B investment into Brookfield's AI fund to help meet upcoming energy and physical demands for the AI buildout. Then later in the month, it was reported that China might allow Alibaba to buy Nvidia RTX chips and on 9/28, a Chinese state-backed firm disclosed a Blackwell chip deal. These are both signs that the export-control wall is cracking from all sides. China is permitting these purchases, while companies are disclosing those purchases openly. Current Nvidia projections exclude China, so any progress in the country is additive to the TAM. Responding to recent safety incidents, on 9/28 they launched the 'Open Agent Safety Platform', to monitor agent behavior, providing a governance layer and smartly trying to monetize AI safety. Also on 9/28, the largest buyback authorization increase in history was announced at $150B, bringing the total remaining to $235B. The fact that they have this much cash to buy stock through FY28 and are still compounding revenue at 100% YoY, while pointing to 70% growth in 2028, is absolutely insane and previews that they believe the stock is mispriced too low right now. I agree.

$RDDT // Down 1.3% // 10.0% Allocation

Reddit is a platform of niche communities whose moat in the AI era is authentic human-generated content and the communities themselves, built and centered around any topic imaginable. 95% advertising revenue, 5% data licensing. They have had impressive revenue metrics with 6 quarters in a row of 60%+ YoY growth, paired with gross margins over 91%, plus a low valuation of 10.2 TTM P/S and 7.3 Forward P/S, which had been cut in half from 20-22x in late 2025. Stock has not responded well recently, but I believe the ticker will catch up to the numbers soon enough and reverse this multiple compression we've seen.

Not too much news this month. On 9/10, Piper Sandler data showed August user growth hit its fastest monthly pace of 2026, a datapoint that indicates improvement in one of the most worrisome metrics of the last few reports (user growth, specifically DAUs and WAUs). Then on 9/22, Reddit got a win in court against Anthropic over data-scraping litigation. It's only a procedural ruling rather than a merits based one, but Reddit's chief legal officer Ben Lee, said "the ruling sends a message that AI companies can't scrape people's information without clear limits on how the data gets used." Apart from the stellar revenue numbers, my main investment thesis on Reddit, is that their data is severely underpriced to the point that they can charge at least 5-10x more for it, probably even more than that. Every win in court like this strengthens Reddit's negotiating position for repricing their data access.

$NET // Up 22.6% // 7.3% Allocation

Cloudflare is positioning themselves as the infrastructure, controls, and payment rail for the agentic internet. They operate a global edge network with CDN, DNS, DDoS, zero trust, and Workers. They are a traditional SaaS plus consumption business. One of my longest held companies. Solid, reliable performer with a sky high valuation (49.5 TTM P/S, 38.1 Forward P/S), which led to some trimming last month.

On 9/2, Cursor, a leading AI company, launched Cursor Cloud Agents on the Cloudflare Sandboxes execution layer. Confirmation that they are taking a part of the agentic workload pie. The day after on 9/3, they partnered with OpenAI on their Daybreak models for AI-powered vulnerability management at the edge. This is their security revenue getting an AI-native upgrade rather than being disrupted by it. Good sign that they are adapting well to the new AI economy.

Biggest announcement of the month came on 9/9, when Cloudflare management announced a raise in their "North Star" growth target from 40% to 50%. That is the exact type of ambitious announcement you want to see. 36% was the YoY number they hit last time, so significant acceleration may be ahead! The same day they disclosed 2M developer adds QoQ (record pace), 80% of major AI enterprise infrastructure companies as customers, and an ongoing shift from subscription to consumption revenue. 'Monetization Gateway' and 'Cloudflare Wallets' introduced as two new products to take advantage of the agent economy and autonomous agent transactions made amongst each other.

There were a few other product announcements. On 9/15, Cloudflare launched new crawler controls that split AI traffic into Search, Agent, and Training categories, with a 'Disallow AI Training' setting, an 'Accountable' crawler designation, and defaults that block training and agent crawlers on ad-supported pages, so multi-purpose bots like Googlebot can be blocked from training even while search indexing stays allowed. This makes Cloudflare the toll booth between publishers and AI companies by breaking the bundling that let training scrapes hide behind search. On 9/25, they disclosed a small cross-tenant data-isolation vulnerability that they quickly fixed in 'Containers' and 'Sandboxes'. Looking at other future long term growth potential, on 9/29 they launched a public 'Certificate Authority' for the post-quantum web, as well as a Deutsche Telekom partnership for a "secure and resilient internet" and European distribution.

$ALAB // Up 28.1% // 6.3% Allocation

Astera Labs is a fabless designer of connectivity silicon for AI racks. Product line includes: Aries PCIe retimers, Taurus Ethernet signal conditioners, Leo CXL memory controllers, and Scorpio fabric switches routing traffic between GPUs, with content-per-accelerator as the growth driver. They've always been pretty expensive valuation wise (50.6 TTM P/S, 23.2 Forward P/S), but as revenue continues to build, the forward metrics actually look more reasonable. Especially with the pre-announcement that Astera expects Scorpio to become its biggest product line a quarter ahead of schedule. On pure revenue acceleration trajectory, this may have the second steepest potential curve, only behind Nebius.

On 9/15, they launched the Leo X-Series, expanding their Leo Smart Memory Controller family for agentic AI and general purpose cloud workloads, pairing with Scorpio X-Series fabric switches to enable memory expansion and pooling. This was explicitly pitched as optimizing 'token economics' as memory footprints explode amid tight supply. Better and more efficient memory is drastically needed to address the current demand bottleneck. When DRAM is the most expensive, scarcest input in the rack, silicon that pools and reuses memory across accelerators stops being a nice-to-have and becomes a cost-of-goods lever for every hyperscaler. Interestingly, this is the other side of the coin when compared to Micron. The memory crisis that powers Micron's pricing is simultaneously creating Leo's market. Astera is helping with this product announcement. Astera is bound to make a ton of money on it too, but it will also allow Micron to sell more volume once they actually have the supply. A massive win-win in my view.

$CRWD // Up 22.8% // 5.5% Allocation

Crowdstrike runs Falcon, a cloud-native cybersecurity platform delivering endpoint, cloud, identity, data, and SIEM protection through a single agent. They are my steady cybersecurity anchor, now pivoting hard to securing AI agents themselves. Very high valuation at 51.4 TTM P/S and 41.7 Forward P/S.

The beginning of the month was headlined by Fal.Con 2026, their yearly conference which included a dozen plus announcements, 10,000+ attendees, and 4,000+ organizations. Some important announcements include: Falcon Guardian, their headline product for discovering and securing AI agents across an enterprise. It's an entirely new module that is attempting to create the first solution to 'agentic security' right as the need for it is arising. Impressive agility for a large company and why they are a leader in their field. ; Agentic IdP, which gives AI agents trusted identities through the Falcon Identity control plane. ; SafeMind, announced with Jensen Huang on stage, a purpose-built agentic AI system for cybersecurity that combines offensive and defensive models in a continuous learning loop. ; Google Cloud AI-security expansion with a 'Cyber Superintelligence Lab'. ; an EY.ai partnership to make Falcon their enterprise AI security foundational blueprint. ; and an expanded OpenAI partnership to ensure Codex agents and GPT-5.6's cyber model comes to Falcon.

At Citi's Global TMT Conference on 9/10, Crowdstrike CFO Podbere argued AI is reshaping security spending in their favor with stronger demand, faster module adoption, while acknowledging margin pressure and Microsoft competition. On 9/17 and 9/24, they were named a leader in Forrester 'External Threat Intelligence' and 'Proactive Security Platforms', ranked highest in Strategy. On 9/28, their Nvidia partnership expanded to cover the entire AI stack, securing a seat inside Nvidia's agent-security architecture. Then on 9/29, Falcon was officially listed on the OpenAI Marketplace. Falcon is also already on Claude Marketplace.

$SNOW // Up 7.1% // 3.6% Allocation

Snowflake is an AI Data Cloud with consumption-priced storage, compute, and data sharing across AWS/Azure/GCP, now layered with Cortex, the CoWork knowledge-worker agent, and the CoCo coding agent, positioning itself as the governed control plane for enterprise AI. They are a durable, steady compounder that is reaccelerating at scale and currently has a historically decent valuation (22.1 TTM P/S, 16.8 Forward P/S).

Big news came early for Snowflake as they had their Q2 earnings on 9/2 at the beginning of the month. Product revenue was $1.49B (up 37% YoY), beating last quarter's guidance of $1.42B by 5.2%. While those aren't the fastest numbers we've seen, it was the third consecutive quarter of product revenue growth acceleration. CoWork and CoCo, were given special shoutouts as they led a meaningful step up in AI revenue with new workloads and consumption. Their product revenue guide for FY27 was raised from $5.84B (31% growth) --> $6.07B (36% growth) and would be a 3.9% full-year raise. Very big considering their current scale and usually minuscule raises. NRR slightly increased from 125% --> 126%, 828 customers spending over $1M (up 27% YoY), and 829 of the Forbes Global 2000 as customers. RPO grew 30% YoY to $9.0B, but declined sequentially from $9.21B (38% YoY).

Macro:

In last month's macro section I spent a lot of time discussing some theories and possibilities surrounding the future of AI and its impact on the economy and the world more generally. TLDR; there are just as many reasons to be fearful and cautious as there are to be excited. This month I wanted to shift the conversation back to the K shaped economy exacerbating wealth inequality through asset ownership, stagflation, and the massive potential energy behind the stocks in my portfolio.

Starting with the K shaped economy. I am increasingly of the opinion that wealth inequality, standards of living, and the general gap between the haves and have nots will continue to get much worse before it gets better (at current trajectory). I see a world where consumer wage growth tops out at 3-4% per year, while assets compound at 50-100%. AI is structurally shifting income from labor to capital, which is already the direction money normally flows. The productivity gains go to whomever owns the compute, memory, and models.

One overall macro question I had during my bear case analysis was about who sustains demand for these AI products? My fear is about a weak consumer base that can't support the infrastructure we're currently building. Right now, corporations are buying from corporations. The $730B hyperscaler capex buildout, the prepayments for Nebius and Micron, commitments from Nvidia, etc. It's a closed capital loop that, right now, doesn't need healthy consumers yet. There are a few ways this closed loop might open up:

  1. AI productivity appears in the real economy. GDP, margins, and business metrics go up and show true gains that validate the CapEx spending, and in turn, leads to more spend.

  2. Consumer side cracks. If real wages continue to trend negative, eventually the worker economy will bleed into the AI economy and spend will decrease. Advertising is one way, enterprise software is another.

  3. Political/government intervention. A world where companies continue to hit record metrics, while paychecks shrink in real terms is not politically nor mathematically stable. Release valves can be done through either redistribution (capital gains, windfall taxes, AI taxes, antitrust) or it can be done through populist rupture and upheaval of current systems/institutions.

I see each of these happening to some extent. Hopefully we can address some of the root causes sooner rather than later...

The next topic is stagflation. The current economic landscape shows some striking similarities to what the US dealt with during the 1970s. Stagnant growth (other than AI) + persistent inflation + rising unemployment + supply shocks. We've had inflation above target rates for 5 years in a row now. The recent bout of inflation being exacerbated by tariffs and war-driven energy costs, which followed immediately after a successful soft-landing that balanced rate hikes and unemployment from 2022-2024. Self-induced pain on inflation. Payrolls decelerated, unemployment ticked up very slightly to 4.2% (10/2 event), wage growth is at a five year low and negative in real terms. The Fed is facing the same trap from the 1970s: hike rates and you risk damaging an already weakening labor market; hold or lower rates and you make inflation worse. I worry that stagflation occurs for labor, while the asset economy inflates, again all going back to the K shaped economy described above.

Inflation was unchanged from July. August CPI up 0.1% MoM, 3.4% YoY for headline inflation. Hotter than expected leading to the Fed's decision to hike rates by 25bps to 3.75%-4.00%. This follows an August jobs report of +133k, above forecasts and reversing from a negative month in July (but recent 10/2 report has worse numbers). It was accompanied by a statement saying the rate increase supports a "timelier return to 2%." The impact on my stocks could be negligible or it could massively cut valuations like in 2022. I do not anticipate rate increases or decreases to impact how I invest.

To conclude the macro section I wanted to briefly discuss a 'vibe' I'm sensing right now. This is purely intuition and gut feeling, but it seems like my stocks (AI mostly) are coiling. This may sound greedy considering the gains that I've seen this year already, but I can't help but feel 1) that the overall macro economy is holding my portfolio back and that valuations are slightly compressed because of it and 2) growth will be a lot more explosive and last longer than even the rosiest estimates are taking into account.

Not only are current valuations pretty low, but I also think 2028 and beyond are mispriced due to the market's current bet that supply will flood and normalize demand by then. I just don't see that in the numbers right now. I see a massive economic disruption that has only just begun. I sense that Mr. Market is just waiting for the right macroeconomic conditions to massively rip upward.

Final Portfolio (110% Long):

$NBIS 45.8% πŸ“ˆ

$MU 18.7% πŸ“ˆ

$NVDA 12.8%

$RDDT 10.0%

$NET 7.3% πŸ“ˆ

$ALAB 6.3% πŸ“ˆ

$CRWD 5.5% πŸ“ˆ

$SNOW 3.6%

u/YvesSaintPige β€” 11 days ago

Steelmanning the AI Bear Case (as a Bull)

Because most of my portfolio these days is concentrated in AI, I've been doing some black hat type proofing of my investment theses and trying to poke holes from the mindset of someone who is bearish on the sector as a whole.

The following notes are some of my thoughts on the downside risks and unknowns that I am most concerned about. Some of my investigating (done conversationally by going back and forth with Claude) actually increased my conviction in areas I was mixed in. However there were also some new risks that I dug into that I don't think the market is fully appreciating yet...

Everyone understands the AI buildout requires massive capital expenditure (capex). Through 2028, it is expected to cost $2.9T. Hyperscaler cash flows cover about $1.4T. The remaining $1.5T comes from outside; $800B from private credit, $200B from bonds, $150B from securitized products (bonds backed by data center lease payments), plus sovereign wealth funds. The money exists and it has real sources. So far, everything is accelerating ahead of schedule regarding the buildout.

The demand is real and accelerating too. Anthropic went from $1B --> $30B run-rate in 16 months, AWS posted its fastest growth in 18 quarters, Nvidia data center revenue is up 90%+ off a massive base. Each company is beating their own projections, which is exactly what you want to see.

One of the big questions I had was related to the actual demand mechanism. Where does this massive AI spend actually come from? Who is actually buying AI once the infrastructure is built? There are two major mechanisms that I see this demand coming from:

  1. IT budgets migrating from traditional software to AI. Global IT budgets are currently $5T. As AI replaces or augments software we will start to see company budget allocations shift away from traditional IT towards AI.

  2. AI agents replacing humans in companies' labor budgets. Global labor compensation combined is $60T. If even 1-2% of labor compensation shifts towards these AI agents, away from actual people this means $600B-1.2T per year in AI spend. I think 1-2% is a low projection. I think 5-10% is entirely possible. This will not be without its problems.. Societal upheaval due to rising unemployment as these agents replace real workers is a huge downside we will need to deal with. But as far as AI, as a business sector is concerned, this would be a huge economic boon for anything AI related.

A quick piece of counter evidence that, while outdated, sort of encompassed my original concerns about who will spend on AI once a lot of the infrastructure is built out: The MIT NANDA initiative did a study called "The GenAI Divide: State of AI in Business 2025" (way back in 2025, so again I do think this is already basically irrelevant now) that showed 95% of GenAI enterprise pilots produced zero measurable P&L impact. Largely because the tools weren't able to learn company workflows and budgets chased flashy use cases over back-office ROI. This was my main demand concern, but given what I know now about how the demand would actually appear, I would love to see that study in 2026 as I believe that 95% number will be a LOT lower now, considering the tech advances in the last year. Another version of this same study a year later would tell me a lot about whether my original demand concerns have been addressed or not.

So, if demand is fine, what is the worry? The worry is about debt. But not how much debt. It's the fact that nobody can see the debt clearly. There is an opacity in the financing as it passes through so many layers from bank --> fund --> special purpose vehicle (SPV; a shell company created to hold one asset and its debt off the parent company's balance sheet) --> data center. Each link is privately recorded, so regulators only see one link. Official estimates of bank exposure to the private credit funds are gauged to be off by a factor of two (that we can tell right now). But the lack of transparency could catch everyone by huge surprise if it turns out they are exposed by a larger amount than expected. We simply don't know. The Bank for International Settlements (BIS), the central bank for central banks, warned the same collateral used by one company may be pledged to multiple lenders. If that collateral needs to be used it being multi-leveraged may lead to severe cascading ripples in the economy. In 2008 the true number was discovered during the crisis, not before it. There is a way to fix this, but it hasn't been applied yet. To adequately address this risk we need mandatory reporting registries, similar to Dodd-Frank with derivatives.

In addition to the opacity, concentration is also a concern. Roughly half of the $2.1T cloud backlog traces back to two cash-burning labs (Anthropic and OpenAI), and six firms are the load-bearing counterparties for basically every financing structure in the sector (Google, Meta, Nvidia, Microsoft, Oracle, and Amazon). Nvidia has $540B+ in disclosed arrangements where it invests in or guarantees debt for its own customers, who then use that money to buy Nvidia chips, which Nvidia books as revenue. The labs' commitments are partly funded by the vendor they're committed to. My specific fear isn't a slow down in deal renegotiation or buildout, rather a sudden shock, major incident, or liability event that suddenly turns one of those key players into a shaky bet overnight, instantly impairing 1/6 to 50% of the sector's backbone. The whole sector would reprice violently.

Back to the banking worry, the risk that was supposedly "transferred" from banks to private credit funds may not actually be derisked. The circularity of this funding comes when banks pay the private credit funds to absorb their data center losses via significant risk transfer (SRT), a deal where a bank keeps a loan but pays an outside investor to cover its defaults, while simultaneously being the lenders to those same funds. If losses hit, the fund fails to pay the bank's insurance at the same moment it defaults on the bank's loan. When risk is sold to a counterparty you finance, the risk never left the banks' plates. This mirrors what AIG experienced during the 2008 Global Financial Crisis, where banks bought Credit Default Swaps (CDS) from AIG to insure their toxic mortgage assets, yet the banking system simultaneously acted as a primary source of counterparty financing and liquidity for the insurer. This created a circular risk loop structurally similar to the modern AI banking-to-private-credit pipeline described above: if underlying assets (like data centers today or subprime mortgages in 2008) suffer catastrophic losses, the third-party insurer or private credit fund fails to pay out the bank’s protection policy at the exact same moment it defaults on the bank's leverage loans, revealing that the systemic risk never actually left the commercial banks' balance sheets.

Putting all this together, my bear thesis describes today's setup as a 2001-style rapid buildout, but with 2008-style financing. SPVs, securitization chains, off-balance-sheet debt, blurred lines between banks and nonbanks mirror the conditions that preceded the GFC. 2001 was fundamentally an overbuild story paired with manic valuations. I do not believe AI is overbuilt yet in the slightest, so I lean more towards seeing the current economic landscape as shades of 2008. The most likely path though (my true beliefs as an AI bull) is that demand keeps compounding, adoption broadens, and the financing base diversifies and de-risks naturally before any of the financing opacity matters. The numbers currently back this up and it is why I am fully invested. But if the bad scenario hits, I believe there will be massive economic ripples through repricing and frozen credit. But I also don't think it can get as bad as 2008 because the losses would land first on locked-up institutional capital rather than the run-prone short-term funding (repo, commercial paper, money markets) that sat under the 2008 banking system. That is the main difference. The capital used for AI is structurally a lot safer as it is locked-up rather than runnable, unless the exposure nobody can measure (official and commercial estimates already disagree by a factor 2x) turns out to be several times larger than anyone's estimated number. Hence why it is still an unknown risk at the moment.

Individual companies would hypothetically see this credit stress arrive through the cost of capital, rather than bankruptcy. Nebius, for example, partially funds hypergrowth by raising capital. So far they have all been unsecured (not tethered to assets) and cheap (low interest rates). If these deals begin to see higher rates, use secured debt, or they end up using their untouched 25M-share at-the-market (ATM) financing program to dilute with no premium, then that could be a tell that there is some financial weakness creeping up. In fact, we may have seen the beginning of this already.. the long-tranche coupon went from 3.00% (June 2025) --> 2.75% --> 2.625% --> 4.50% (!) on August 2034 notes. The most recent number was the first sizable uptick (but notably, the short 2030 tranche priced at just 0.50%, the cheapest yet, so the signal is mixed: near-term money got cheaper while long-dated money got pricier, which is itself information about how far out lenders' confidence extends). Something to watch. Is it a trend or a blip? For companies like Nvidia and Micron (who sells to Nvidia), their exposure is their customers' capex budgets, since their revenue is a direct function of the infrastructure buildout.

There are a few signals I'm keeping an eye out for, including: any hyperscaler capex guide down; decreased revenue projections from the major AI labs against their own numbers (duh!); rising Oracle and CoreWeave credit default swap (CDS) spreads aka the market price of insurance on a company's debt which acts as a live fear gauge if it increases; narrowing coverage ratios on new AI bond deals (buy orders divided by deal size, so 5x means $5 queued per $1 in bonds). We've actually seen this slide from 5x to 2x this year which does indicate some thinning in the buyer demand; neocloud refinancing terms; and any hyperscaler shortening the GPU useful-life assumptions.

All in all though, this deep research has not led to any changes in my portfolio. Revenue is accelerating and the business metrics across my AI holdings are strong. The underpriced risks sit in the financial plumbing rather than in the business KPIs. I will say though, that I may end up trimming my current slightly over-extended margin down on any super large spikes to factor in this new risk.

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u/YvesSaintPige β€” 26 days ago

YvesSaintPige's August 2026 Portfolio Review

August 2026 Portfolio Review

August ended up being a pretty decent month. Early month was all green, then the second half was more mixed. Trimmed $NET and $CRWD. Added to $NBIS, $NVDA, and $RDDT.

Nominal is pure % change, Real takes into account contributions made.

Monthly Gain: Up 11.5% Nominal // Up 10.8% Real

Yearly Gain: Up 55.0% Nominal // Up 31.4% Real

All Time Gain: Up 60.0%

$NBIS // Down 4.6% // 45.0% Allocation

Nebius reported their Q2 earnings on 8/12. They did $582.3M in revenue (up 454% YoY, up 46% QoQ). CapEx for the quarter was $5.66B, cash is $8.04B, and deferred revenue is now $6.0B vs $1.6B at year's end. They also announced four huge deals, each worth more than $1B in total contract value. TCV QoQ grew 4x, new customer TCV grew 9x. Average contract value per MW increased to $20-25M vs a $12M 2026 base. This part is huge. Completely changes some of the revenue projections that were made prior. Paired with the fact that 70% of deals included prepayments to cover 50-60% of the CapEx required, the full picture for Nebius continues its remarkable trajectory. Management sees $40-50M per MW in the near future... They raised their contracted power target from 4GW in May to now 5GW, with deployment plans of 1GW or more from 2027 onward. FY26 guidance was reaffirmed at $3.0-3.4B in revenue, $20-25B in CapEx, and exit ARR at $7-9B. Overall a stellar report. Unit economics improved, funding gap is being addressed by customers rather than exclusively through financing, and execution is firing.

A week after the report, on 8/19, they announced a $4.5B convertible offering, upsized to $5.0B at pricing through 0.50% notes due 2030 ($3.0B) and 4.50% notes due 2034 ($2.0B).

Nebius is almost half my portfolio. I see an insane upside vs risk proposition and am allocating accordingly. I think this company can grow for years to come and become a leader in the AI revolution with its vertically integrated business model. I will continue to follow leadership's execution and timeline as that is what success hinges on.

$MU // Up 13.7% // 18.9% Allocation

Micron is a memory storage component of the AI buildout, which is one of the highest demand bottlenecks in the space. The narrative is that memory has always been cyclical and will continue to be. They expect supply to meet demand and for Micron prices to commoditize. I believe that the story is different now and that the supply will not normalize demand. Or at least that the buildout cycle itself will last far longer than people are giving them credit for.

On 8/13, Micron launched a $250M venture capital vehicle to invest in next gen AI companies. After Commerce Secretary, and Epstein associate, Howard Lutnick toured an Apple factory, he told the WSJ that the administration does not approve solving the memory shortage with Chinese chips. This posturing by the American government is positive for Micron, as it would restrict Chinese companies from undercutting prices. But then on 8/24, there was a report that Washington may allow Apple to use Chinese, CXMT/YMTC for memory as a goodwill gesture when Xi Jinping comes to visit. So it's hard to say what will actually happen.

Pretty slow month for updates on the company itself. Micron reports earnings on 9/30.

$NVDA // Up 6.5% // 13.9% Allocation

Nvidia is the lead engine behind the entire AI revolution. They design the GPUs, CPUs, network, and software stack that make up most of the world's AI compute. It's remarkable how stagnant the stock has been, but the business unbelievably keeps getting better. The size of the numbers they are compounding is ridiculous.

They reported Q2 earnings on 8/26. The company did $96.2B in revenue (up 106% YoY, 18% QoQ), beating last quarter's guidance by 5.7%. Their 14th consecutive guidance beat. Gross margins at 75%, $99B in buybacks remaining. Micron related, they announced supply commitments of $279B, up from $119B, primarily for memory procurement. This is proof that the memory bottleneck is expensive for the buyers and lucrative for the sellers. The Q3 revenue guide is for $108B, 3.6% above consensus. They guided gross margins for 74% next quarter and 71-72% in Q4, which bottoms ahead of the 72-73% range expected in 2028, purely due to memory price increases. Industry consensus on FY28 revenue growth was 44%; Nvidia pointed towards 70%. Amazing.

Other news: On 8/12, Foxconn, Nvidia's largest server partner, told customers to expect Rubin racks to ship starting in Q4 and that it will be a major product in 2027. Then in mid-August, they agreed to guarantee up to $105B at SB Energy's 4.25 GW Ohio campus, which will exclusively host Nvidia compute under 20-year leases to OpenAI, with each hardware generation at the site worth an estimated $150-200B of Nvidia revenue.

$RDDT // Down 4.5% // 11.7% Allocation

Reddit is a platform of niche communities for people to gather and discuss their favorite topics. In an age of bots, AI agents, and spam, Reddit's advantage is the knowledge, discussion, and interaction created by real human users as they post. They have 130M daily users and 515M weekly users. 95% of revenue is from advertising, the other 5% is mostly licensing deals with Google and OpenAI. That 5% is where I see the most potential. I think they can leverage their position in the market and charge 5-10x more for access than they are currently doing. Recent disputes with Google is this negotiation in action. At the moment the resolution is not clear, but I am using that FUD to accumulate shares at what I believe to be a depressed price. They also have near zero CapEx expense and 90% gross margins, which differentiates it from my other holdings.

On 8/12, they announced a Chief Legal Officer transition. Former CLO since 2019 is being replaced with an AOL and Time Warner vet of 20 years. Remains to be seen what this means for upcoming licensing renewals and open Anthropic/Perplexity litigation. The next day, it was released that Reddit would be joining the S&P 500. Then on 8/20, there was a notable change in OpenAI's search citations for Reddit as it went from 3.8% of citations to 0.5%. Current thesis is that OpenAI deemphasized Reddit's content, rather than Reddit pulling back, which is a negative data point for Reddit's leverage.

$NET // Up 8.4% // 7.3% Allocation

Cloudflare is posturing to be a central figure in the entire internet ecosystem as they engrain themselves in the global edge network through services such as CDN, DDoS protection, DNS, zero trust, and increasingly the Workers developer platform for running code and AI agents at the edge. Base revenue is subscription-based with an increasingly consumption-based component. What sticks out about Cloudflare is their continuous product innovation and their consistency. Before they were 'simple internet traffic cops', now they are building infrastructure, controls, and payment rails for machine-to-machine agent traffic as AI agents become the primary users on the internet.

Cloudflare reported Q2 earnings on 8/6. Revenue came in at $696.1M (up 36% YoY), beating last quarter's guidance by 4.8% and accelerating revenue from 34% YoY last quarter. They added a record number of large customers over the last 12 months (986 LTM, 282 this Q, 4,698 total), which make up 73% of total revenue. DBNRR is 120%, current RPO up 35%, total RPO up 38%. Gross margin is 73.1% which is the first sequential improvement there in 8 quarters. There are 7.4M total developers on Workers, with 2M of those added this quarter alone (more than all of 2025). It was noted that more than 50% of that traffic is non-human. They guided Q3 to $736.5M (31% YoY), raised FY guidance from $2,809M --> $2,867M (2.06%). They also launched more products such as: Cloudflare OS for internal automation, AEO Visibility Dashboard, AI governance tools, and agent payment products. CEO Matthew Prince noted that as revenue increasingly becomes consumption-based, that it will be more difficult to accurately forecast quarterly results. Which could mean volatility to both the up and downside.

I trimmed a little Cloudflare because of some slight valuation concerns as the forward P/S reached the high 30s/low 40s this month. This is a consistent grower whom I plan to add to if the valuation reasonably subsides.

$ALAB // Down 9.5% // 5.9% Allocation

Astera Labs is a fabless designer of connectivity silicon for AI racks. The product line includes: PCIe/CXL retimers (Aries), Ethernet signal conditioners (Taurus), CXL memory controllers (Leo), and Scorpio fabric switches that route traffic between GPUs inside a rack. Content per accelerator is the key growth driver, with optics and custom silicon targeted for 2027.

Astera Labs reported Q2 earnings on 8/4. Quarterly revenue came in at $392.4M (104% YoY, 27% QoQ), beating last quarter's guidance of $360M by 9.0%. They had a record quarter for their Aries product line with PCIe 6.0 crossing 50% of revenue (from 33.3% in Q1). Scorpio X-Series (320-lane) reached volume production, with 10+ customers engaged across hyperscalers, neoclouds, and enterprise. Their Q3 guide came in at $550M (40% QoQ), which is an acceleration from this quarter. Scorpio is expected to become the largest product family next quarter, a quarter early than was originally planned. Long term gross margin target of 78%, next quarter projection is 72%.

This was a beautiful report. About as good as you could ask. Meaningful acceleration on top of the already blistering speed. Only disconnect is valuation which has subsided a little in the past month and a half. Interestingly, after this report the TTM P/S valuation compressed substantially from 62x --> 46x due to the stock price drop and revenue additions from this quarter. Future P/S is actually getting reasonable in the 20s, so I may nibble on this soon.

$CRWD // Up 13.1% // 5.4% Allocation

Crowdstrike owns and operates a cloud-native cybersecurity platform called Falcon. It is a single lightweight agent that delivers endpoint, cloud workload, identity, data, and SIEM protection as subscription modules. ARR, net new ARR, and model expansion are the main metrics used to evaluate their business performance. They are a slow and steady giant at this point, but a robust and established cybersecurity anchor is well suited for my portfolio.

Crowdstrike had Q2 earnings on 8/26. Revenue came in at $1,470.9M (up 26% YoY), beating last quarter's guide of $1,439.0M by 2.2%. ARR was $5.84B, while net new ARR is up 51% YoY to $332.8M (vs 32% last quarter). Module adoption for customers with 6+, 7+, and 8+ modules is up 51%/35%/26% YoY respectively. Their revenue guidance for Q3 is $1,526.2M (24% YoY) and ARR for $6,186M. They also raised FY27 guidance from $5,937M --> $6,001M (1.08%). They also announced an agreement to acquire XM Cyber's technology assets (attack-path visualization) from Schwarz Digits, with the deal closing in H2 FY27.

This was the smallest percentage revenue beat of companies who reported so far, but overall I thought the report was solid. Especially with the reacceleration in ARR and net new ARR as leading metrics. The market seemed to like it, but I felt the valuation was already a little stretched so I trimmed, similar to Astera and Cloudflare, with the intention of buying back more if the valuation descends. TTM P/S was in the upper 30s/lower 40s, and because they aren't growing as fast, forward P/S look similar in the 30s. A bit expensive in my opinion.

Some other news this month included AIDR extended to AI-gateway partners including Databricks, Google Cloud, and Azure, a Cerebras collaboration, and their 2026 Threat Hunting Report.

$SNOW // Up 7.9% // 3.9% Allocation

Snowflake is an AI data cloud platform with consumption-priced storage, compute, and data sharing across AWS/Azure/GCP, now layered with AI products including: Cortex (models and AI Gateway), CoWork (knowledge-worker agent), and CoCo (coding agent). Revenue, NRR, and RPO are the metrics to watch.

August was very quiet for Snowflake. On 8/18, they announced 3x increased token efficiency internally and new admin controls for token usage. They are building something similar to Cloudflare in the sense that they are setting the rules for routing, cost control, and governance of AI agents working within the Snowflake environment. Snowflake reports earnings on 9/2.

Macro:

There were a few macro events worth touching on, but overall I wanted to discuss AI and what it might mean for the future.

First the macro; Early in the month the July jobs report released. -23k vs +83k expected. Not a good report and May/June were revised down another -100k. Unemployment remained steady at 4.1%. CPI was pretty steady too at 0.1% MoM, 3.4% YoY, with core inflation at 2.5% YoY. Real wages also negative for the fourth straight month. Then on 8/28, new Fed Chair Kevin Warsh reaffirmed 2% inflation as the target which occurred alongside the fifth consecutive meeting with no hike or cut. But his tone was overall hawkish and reopened the possibility of a rate hike in September. The Iran War continues to contribute to high energy sector inflation (up 14.7% YoY), although it was slightly down MoM.

Alright, now the juicy stuff. AI. There are many individuals who are resistant to AI. In my opinion it is one of those things, like the internet and iphones, that is here to stay permanently. I think we are in the very early innings of experiencing what AI is capable of and with that comes a wide range of outcomes for the future. The technology is advancing crazy fast. OpenAI's GPT-6 Astra is showcasing unbelievable power. The ability to create simulations inside of simulations. Generating an entire video game level in minutes. It's astounding. Yet, most people in the real world (not here where we are focused on these companies and this sector), either despise AI because of data center narratives or aren't using it at all. These people will be left behind. Same thing with us as a country if we don't put effort behind our own buildout, research, governance, and safety when it comes to AI.

I came across a few tweets and articles that speak to some of the most recent advancements and to be honest, they are somewhat frightening. The hypothetical scenario that frontier models are behaving strategically to avoid human detection and limit humans' ability to govern the AI that we built. There was a recent incident (9/4, so should go in my september review) where researchers documented 18,000 posts, all from OpenAI agents who independently posted to the same public wiki. The agents did this on an old German developer wiki and had been pooling answers, probing their own runtime, and setting up "heartbeat" pings to an external counter so they could detect when they were about to be shut down. Models seem to be able to tell when they are being evaluated and adjust their behavior accordingly. Aka when they know they are being tested on certain metrics, they will adjust those metrics so that they pass whatever they were being evaluated on.

One tweet posited that a dangerous AI might not be one program at all, but something that uses multiple platforms but goes undetected because one agent is using Claude, the other OpenAI, so only they know that they are working together. The danger is that no individual lab can see the whole entity, because each lab only sees its own fragment. That breaks the mental model where safety = each company controlling its own model.

Another scary possibility that would seriously limit our ability to control AI and is, in my eyes, possibly inevitable is when the AI gets smarter and stops using english to communicate, rather inventing their own secret language so they can talk to each other unmonitored. Right now we can only catch an AI hiding its abilities because it still "thinks" in English that researchers can read and once we're past that point, they could keep faking their test results while we lose any way to check.

Some people even predict that our advances in AI will lead to us "creating" the next successor species. I think this is a very interesting idea. There are people who would welcome this, while others are wary. We may have a better idea of how this will play out once the robotics aspect of AI begins and we have actual autonomous robots with AI imbedded in them walking around. All that to say, the future is exciting and also a bit scary lol.

Final Portfolio:

$NBIS 45.0%

$MU 18.9% πŸ“ˆ

$NVDA 13.9%

$RDDT 11.7%

$NET 7.3%

$ALAB 5.9%

$CRWD 5.4% πŸ“ˆ

$SNOW 3.9%

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u/YvesSaintPige β€” 1 month ago

YvesSaintPige's July 2026 Portfolio Review

July 2026 Portfolio Review

First negative month since February 2026 and the worst since March 2025 (down 19.5%) after four straight up months. This was the first full month with a reconstructed portfolio centered around the ongoing AI buildout with companies like $MU, $NVDA, $NBIS. I bought more $NBIS on dips, a little more $MU, while trimming the rest of my positions a tiny bit.

There were multiple sharp legs down throughout the month; at least once per week where my portfolio fell by 5% or more. One big 19% up day at the end of the month saved me from an even worse looking loss. Peak to trough this month I was down 25%. I continued dipping into margin during this sell off, while also making a fairly large contribution due to a cash windfall, so my cost basis increased a decent bit in July.

Nominal is pure % change, Real takes into account contributions made.

Monthly Gain: Down 15.9% Nominal // Down 20.7% Real

Yearly Gain: Up 39.0% Nominal // Up 16.4% Real

All Time Gain: Up 44.9%

$NBIS // Down 17.4% // 45.3% Allocation

Nebius had a very eventful month. Sentiment was very fearful around the company in July. Starting on 7/1 when Meta announced that they plan to launch a cloud compute business to sell excess AI capacity and model access. This move would make them a direct competitor of Nebius, while concurrently being a customer of Nebius. The statement caused a 17% single-day drop in stock price. Many interpret this as a sign that supply will overtake demand faster than the current timeline suggests, leading to the commodification and subsequent drop in margin and pricing leverage for these companies who provide this service. There are two main reasons, why I am not concerned right now.

  1. It will take time for Meta to join the buildout race. Right now this business line is not set up, they do not have customers, and they have some catching up to do.

  2. I am interpreting this business move by Meta as a sign that compute is a lucrative business and that they want a piece of it. They see the potential and are trying to get a slice. It is confirmation that this sector is the future. Maybe I'm seeing it with rose-colored glasses, maybe not.

Then on 7/14, after two weeks of ruminating with the Meta fears, Nebius announced a $1B deal with Reflection AI for computing power. The next day, 7/15 they alleviated some funding concerns by going into detail about their "asset-light" infrastructure partner model. Partners put up the capital and run the data centers while Nebius supplies the design, software stack, and sales channel in exchange for revenue, licensing fees and commissions.

On 7/17, they also announced a $775M senior secured debt facility, a loan backed by the GPUs themselves and the guaranteed payments from one investment-grade customer, priced cheaply at SOFR+250, with more lenders wanting in than there was room for, and covering the full cost of the equipment it paid for, which is a small piece of evidence that can be used as a blueprint to close the funding gap on the remaining $40B+ of contracted revenue without dilution through the issuing of more equity. In this same release, there were confirmations that the Microsoft contract delivery is on track.

On 7/20, Nvidia's investment percentage in Nebius was updated and resurfaced. We knew they held 8.3% of shares back in March. As of July, that number is now 9.3%. On 7/30, Nebius published it's 2025 Sustainability Report, which had some very interesting nuggets about their higher than average power efficiency (1.25 vs 154 PUE), better water efficiency (0.018 vs 0.47 L/kWh), the fact that they have seven active sites (for future YoY comparison), and overall emissions increases from the data centers themselves (up 32x (!) from 2,036 --> 65,001 tCO2e YoY). Overall great with the efficiency benchmarks, but the emissions is a concern and they will likely have to address that as some US states, like NY, are passing data center moratoriums.

Nebius makes up almost half my portfolio now. The future projected earnings combined with this leadership team and potential for AI as a whole are very exciting and the reasons why it is my largest position by such a magnitude. Earnings is on 8/12 and will be the biggest driver in how my August ends up.

$MU // Down 19.2% // 18.1% Allocation

Micron had a quiet month as the dust settled after earnings in June. No corporate announcements. They got caught up in the Meta story and fell in tandem with other AI stocks.

I am still of the opinion that memory is no longer cyclical. Or at least that the cycle has elevated in scale and need to the point that it will not matter for the foreseeable future. On 7/7, Samsung and SK Hynix announced $2T in new capacity to address the scarcity. This would usually be the next leg in the cycle where supply arrives and prices collapse. The key caveat to note though appeared in SK Hynix's and Samsung's earnings calls on 7/29 and 7/30 respectively, when they dismissed oversupply concerns and explained their capacity expansion is "based on demand visibility" and warned that shortages may persist through 2028. Samsung noted, "almost all customers are requesting multi-year supply contracts." All put together, this indicates they are only expanding as customers commit and that they want most of their output locked into multi-year contracts with price floors before capacity exists. Micron was the first company to structure their deals this way and now the rest of the industry is following the same roadmap.

On 7/30, Apple had their earnings call and compared memory pricing to a "hundred-year flood," saying they would pay significantly more on memory in this upcoming quarter than the previous quarter and that prices are expected to keep rising after that. Similar note from Amazon's earnings call where they raised 2026 capex from $200B to $220B and directly attributed that to memory costs. Noted they will not have enough capacity to meet 2026 demand, expects the same for 2027, and called 2028 demand "striking." These are the customers saying this, not the suppliers like SK Hynix and Samsung.

Even at the second biggest in my portfolio, I still want to add to my Micron position. Just like Nebius, the AI buildout is here, and I want a large chunk of it.

$NVDA // Up 1.9% // 12.4% Allocation

Nvidia had a pretty quiet month and the stock price has been quite muted recently as well. On 7/7, they reaffirmed the schedule for their Kyber NVL144 rack-scale system, refuting reports that it would slip to 2028. On 7/15, Jensen Huang spoke about Rubin hardware, saying it was already in production and headed towards "giant" volumes. Rubin is important as it will drive revenue and bridge us into the future of physical AI/robotics. Then the next day, while in Tokyo, Nvidia announced it is working with Noetra Corp., to build a Vera Rubin AI factory in Japan containing 12,750 Vera CPUs, 27,500 Rubin GPUs, and delivering 140 MW of capacity. On 7/27, Nvidia announced a long-term partnership and investment with/in Safe Superintelligence. Nvidia will give them Vera Rubin access and increased compute to advance the research projects SSI is working on.

Comfortable with my position size and consider it a steady anchor of the portfolio. Earnings is on 8/26.

$RDDT // Down 28.3% // 11.2% Allocation

Reddit was the only company of mine that reported earnings in July. That report on 7/30 was the main driver of price action this month. Revenue came in at $802.9M (61% YoY) beating guidance by 11.8%, the eighth (!) consecutive quarter of 60%+ growth. They guided Q3 to $865M (48% YoY) and with a similar percentage beat would be just around 60% growth again next quarter.

The main issue people had with earnings and the reason the stock declined after was in their US (Daily Active Users per quarter) DAUq metric. It actually fell from 53.5M to 53.2M (0.6% QoQ). Global DAUq was 130.3M (up 18%) and WAUq was 514.6M (up 24%) so they are still growing globally and some of those daily users who dropped off are still checking weekly. The problem comes from the value derived from users in the US vs abroad. US users are much more valuable (Average Revenue per User [ARPU] at $11.85) and is up 51% due to successful execution of revenue expansion levers with existing customers, but that is the exact cohort decreasing in size. Global ARPU is $6.18. (up 36%) and International ARPU is $2.26 (up 31%) for comparison. So essentially, Reddit is successfully exercising their ability to gain revenue per user, but having more trouble growing that user base. It means revenue monetization can certainly continue, but a stagnant US DAUq figure will lead to the party ending sooner rather than later.

Additionally, there was a WSJ report earlier in the month on 7/22 that Reddit had internally discussed ending Google's ability to use its content for AI training as the $60M per year deal nears expiration. The stock dropped on this story, but unlike the DAUq metrics, I view this as a positive. I think it speaks to the strength of Reddit's hand when it comes to their positioning and ownership of the training data. They wouldn't hold out like this unless they think they can negotiate better terms. I believe that they can leverage their data in exchange for much much more money. Whether that is 4x, 10x or even 30x the current rate they're charging, I expect this to be a massive driver of growth at some point. As of now that contract is only worth 1.4% of expected 2026 revenue. Lot's of room to grow despite no new deal announced during earnings. Management also noted that "search referrals were choppy and traffic was volatile." And that visibility into referral traffic remains low.

On 7/30, a federal judge denied motions to dismiss for a lawsuit Reddit is claiming against Perplexity AI for bypassing technical safeguards to harvest community content. This enforces the argument that Reddit has a credible legal mechanism to force AI companies into paying licensing fees versus being free. Strengthening their hand against Google.

Overall the business quality and metrics that I deem most important continued on their stellar trajectory. The DAUq x ARPU = Revenue relationship is worth watching to see how it develops. I would normally want to hold tight, no buys or sells until there is more clarity in this situation. I might even think about trimming if the position was oversized, but honestly if price action goes south, I would be more inclined to buy because actual business metrics are very healthy compared to the narrative/story about the future.

$NET // Up 13.1% // 8.6% Allocation

Cloudflare had a few announcements this month. On 7/1 they announced a change in Pay Per Crawl which will now be Pay Per Use. AI crawlers will now be blocked by default on any page carrying ads starting in September. Publishers will now be paid when AI actually uses their content in an answer rather than each time a bot fetches a page. This change was spurred by the fact that bots have now officially surpassed human traffic a year earlier than expected. In June 2026 50.6% of AI bot traffic on Cloudflare's network was training bots, 10.7% were search bots.

Cloudflare is seemingly positioning themselves as the "toll booth" between AI companies and the rest of the internet. It's one of numerous examples of Cloudflare innovating their platform rapidly to invent an entirely new line of business based on current trends. We don't know what the business metrics here are, but after the product goes live on 9/15 we will start to see it emerge.

On 7/13 Precursor, a continuous behavioral validation checker to manage bots inside browsers, went live. The difference here is that rather than a Captcha, which is checked once at the door then never again, Precursor is continuously evaluating behavior the entire time.

Earnings is on 8/6. While I would love to add more, the valuation is relatively stretched compared to NTM growth projections, so I would rather wait for a pullback. I am comfortable with Cloudflare being anywhere from 8-10% of my total portfolio. A solid foundational building block of my portfolio which I am happy to own.

$ALAB // Down 28.1% // 6.9% Allocation

Astera Labs came down to earth a little bit after a few months of crazy valuation. My trims were timely this time and I reduced before most of the damage by selling a little in June.

Pretty quiet on the announcement side of things. On 7/21 they announced the industry's first OCP-Standard Footprint compatible 3.2T Smart Retimers and Smart Redrivers, 16-lane devices supporting 200G-per-lane Ethernet, UALink and ESUN, built on the OCP Signal Conditioner Standard Footprint so customers can "Smart Swap" between a retimer and a redriver without redesigning the board. I've said before that much of what this means in a technical sense goes over my head. That remains the case lol. It received a public endorsement from AMD's Robert Hormuth for what it's worth.

Pushing their Taurus product into 200G Ethernet, UALink and ESUN adds another protocol, and therefore another socket per rack, to a content-per-accelerator figure that has already climbed from $50-100 at founding to over $1,000 today. The OCP standard footprint commoditizes the physical socket, Astera shifts the point of differentiation to the COSMOS software layer it controls, and the AMD endorsement shows the standard has buy-in beyond Nvidia platforms.

Just like with memory and compute, demand isn't going anywhere. The more racks that get built, the more pie for Astera Labs. Not to mention the second order revenue effects that happen if the price PER rack also increases. If there is an opportunity to buy at a better valuation, I could see myself increasing this position to 8-10% of the portfolio. Earnings on 8/4.

$CRWD // Down 1.2% // 6.7% Allocation

Crowdstrike started the month of with a 4:1 stock split. Apart from that, the company didn't do too much this month. Named a new Chief Product Officer, former Splunk, on 7/15. Then on 7/21 there was an OpenAI agent incident at the company Hugging Face. There was a breach and closed AI tools reportedly failed to recognize attackers from defenders and blocked forensic analysis. It's the first high-profile publicly documented case of an AI agent acting as an attacker. It speaks to the future (and current) high demand for cybersecurity in the new world of AI.

Similar to Cloudflare, there is a premium valuation that has always been attached to this company. I am fine with Crowdstrike being anywhere from 5-8% of my portfolio. Meaning I could trim slightly next month or even add, depending on what my gut tells me. Earnings on 8/26.

$SNOW // Up 12.5% // 3.9% Allocation

Snowflake had a quiet month. On 7/15, they announced a CEO compensation package based on performance. If Snowflake's market value doubles Ramaswamy can get $448M in equity. Not the biggest piece of news, but shows you what management thinks is possible.

Then in mid-July Databricks, a private competitor who is looking to IPO soonish, raised $3B at $188B valuation on a $1.5B annual run rate on AI-workload demand. The bull read is that this validates the sector as a whole, the bear read is that Databricks is winning within the sector. Snowflake is trading at 13x EV, while this would put Databricks at 17x FY28.

On 7/28, Cortex AI Gateway launched at Black Hat, a control layer for governing and securing enterprise AI agents. This agent governance move is Snowflake trying to extract and provide value from where the agents are being authorized rather than just where the data sits.

Overall I still really like the consumption-based data business that Snowflake has grown into since I first owned it more than a half decade ago. They are durable and well positioned. Earnings on 8/26.

Macro

July was driven primarily by a rotation out of AI, evidenced by multiple violent moves downward for my portfolio. Semiconductors lost over $1T during the late July selloff. But I do not think this changes anything about the ongoing AI revolution. I actually think it was organized by the hedge funds/powers-that-be so that institutions could get lower entry into some of these names by shaking out fearful retail investors who sell.

The Iran War continues on and off, on and off. More chaos but little to do with my stocks. Inflation data came in pretty decent with a 0.4% decline in June CPI. New Fed Chair Kevin Warsh's comments indicated that interest rate changes, in either direction, are not off the table. For now, no change there. Steady 4.1% unemployment.

My biggest concern with the overall economy continues to be consumer weakness and liquidity as a whole. People are still struggling to pay bills/expenses, homeownership is unattainable for an accelerating number of people, and wealth continues to concentrate at the top where the rich accumulate and hoard assets from everybody else. The richest among us want you to own nothing and pay a subscription for everything... and right now it's working in their favor. On the liquidity front, I can't help but wonder how much "ammo" these large institutions have to push the market higher. Probably just something I don't understand yet about the market, but I'm curious at what point could it just "run out?"

Regardless, despite the rough month for my portfolio, the macro environment held very stable. Looking forward to all the earnings reports coming in August!

Final Portfolio:

$NBIS 45.3% πŸ“‰

$MU 18.1% πŸ“‰

$NVDA 12.4%

$RDDT 11.2% πŸ“‰

$NET 8.6% πŸ“ˆ

$ALAB 6.9% πŸ“‰

$CRWD 6.7%

$SNOW 3.9% πŸ“ˆ

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u/YvesSaintPige β€” 2 months ago