WHY THE MIDTERMS COULD ACTUALLY BE BULLISH FOR $CRWV AND $IREN The market is making an important mistake with CoreWeave and IREN following midterms because a policy that slows how quickly new data centers can be built is fundamentally different from a deterioration in the demand for AI computing and those two outcomes can have very different implications for companies that already control valuable infrastructure. Gina Hinojosa has called for a moratorium until lawmakers establish stronger community protections, which I take seriously given the potential implications for projects awaiting approval but what investors seem to be overlooking is that Greg Abbott had already ordered ERCOT to audit pending grid connections and halted environmental permitting before the election while pushing developers to cover their own electricity and infrastructure costs. The political direction was already moving toward greater regulation regardless of who won, which means the real incremental risk is how long restrictions remain in place and what conditions developers must satisfy rather than the sudden disappearance of an otherwise unrestricted market. I would also be careful assuming every permitted facility is automatically protected because electrical interconnection, environmental approvals and construction authorizations are different things but I think the market is moving too quickly from legitimate concerns about development timelines toward an assumption that the economic opportunity itself has somehow deteriorated. What makes this particularly interesting to me is that electricity is increasingly becoming one of the most valuable inputs in the AI economy because hyperscalers can purchase additional GPUs much faster than developers can secure hundreds of megawatts of reliable power which means the value of infrastructure that can support computing today should rise as the time and cost required to bring competing capacity online increases. The distinction matters because an operating megawatt with available cooling, networking and computing equipment has an entirely different economic value from a megawatt that exists only in an announced development pipeline especially if customers are willing to pay more for immediately available capacity. IREN is particularly interesting in this environment because Childress is already operational and its first Horizon deployment has been accepted by Microsoft while Sweetwater 1 has an energized high voltage substation and an initial 300MW of gross capacity under construction creating an infrastructure advantage that becomes harder for competitors to replicate as permitting becomes more restrictive. However, I would not treat the entire 2GW Sweetwater development as secured operating capacity because its inclusion in ERCOT's Batch Zero process remains conditional, which is why I think the opportunity is really about the increasing value of IREN's existing infrastructure alongside the execution risk associated with developing its remaining capacity. CoreWeave presents a somewhat different opportunity because its advantage is less about owning the underlying electricity infrastructure and more about its ability to turn available computing capacity into contracted customer revenue which becomes increasingly important when new competitors face longer development timelines. Galaxy has already delivered 133MW of critical computing capacity at its Texas Helios campus to CoreWeave and has the next phase financed and under construction but the distinction is that Galaxy owns the physical infrastructure while CoreWeave accesses it through long-term leases, meaning some of the scarcity value naturally accrues to the property owner before CoreWeave captures anything through its cloud business. Thats where I think investors need to be more sophisticated because CoreWeave's roughly $104 billion reported revenue backlog provides meaningful visibility into customer demand but does not represent cash already earned while its 9.625% unsecured debt financing demonstrates how expensive development delays can become when significant capital has already been committed. IREN faces its own version of this challenge given the substantial spending required to deploy GPUs and its approximately $13.8 billion of disclosed contractual commitments at the end of June so I do not view either company as an automatic winner from tighter regulation but I do think IREN offers greater exposure to the appreciation of scarce physical infrastructure while CoreWeave offers more direct exposure to monetizing contracted AI computing demand. Ultimately, this is why I view the current selling as an opportunity to buy the fear because I believe the market is increasingly pricing these companies as though restrictions on future development automatically undermine the economics of infrastructure that is already operating, when a more constrained supply environment could actually strengthen the competitive position of companies capable of delivering computing capacity today. The financial question is whether the additional value created by scarce power and higher utilization can exceed the present value of delayed expansion, increased construction costs and financing obligations, particularly since fixed customer contracts may prevent existing operators from capturing higher market prices immediately. For IREN, I want to see continued customer acceptance of its Horizon deployments, progress at Sweetwater, improving cash generation and evidence that its development commitments can be funded without excessive dilution, while for CoreWeave I will be watching whether its substantial backlog continues converting into recognized revenue and whether new capacity generates enough cash to comfortably support lease payments, interest expense and ongoing GPU investment. I would reconsider my conviction if permitting restrictions begin materially delaying existing projects, financing costs overwhelm the returns on new deployments or declining GPU rental prices prevent either company from benefiting economically from tighter infrastructure supply but my broader view remains that as electricity becomes an increasingly scarce resource in the AI economy, the companies with access to usable power and the ability to convert that access into profitable computing capacity could become considerably more valuable than investors currently appreciate.

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COULD $TSLA and $SPCX BECOME THE MOST VALUABLE COMPANY IN THE WORLD? I think the real question around a potential Tesla and SpaceX merger is whether common ownership improves AI infrastructure economics because their commercial ties are real but hardly transformative since Tesla booked $626M of Megapack revenue and $148M of gross profit from SpaceX through September while its $2B xAI investment became a SpaceX stake worth $2.87B representing less than 1% ownership and proposed AI software and robotics collaborations lack material disclosed revenue. A merger would eliminate those sales from consolidated revenue, while its real incremental benefit would be jointly financing chip capacity and preventing stranded infrastructure as demand shifts. If supply contracts can accomplish that, the merger premium should be minimal. That distinction matters with orbital compute, where SpaceX's reusable rockets and Starlink network offer genuine capabilities but commercial cost superiority remains unproven. Its prospectus envisions 100kW of compute power per metric ton, meaning $1,500/kg launch costs alone imply $15M per orbital MW before processors, spacecraft, solar arrays, radiators, radiation shielding, connectivity and replacement launches and independent modeling estimates orbital compute costs of $660M to $750M per MW over 20 years versus $230M to $300M terrestrially, since near continuous sunlight avoids grid expenses without eliminating the weight, heat and failure penalties of operating hardware in vacuum. Tesla's batteries can alleviate terrestrial power constraints, but they can already be sold to SpaceX, so what matters is whether integration lowers cost per useful token. Terafab offers the clearest potential for a structural advantage because combining logic, memory and advanced packaging could support cheaper, more secure silicon for Tesla's planned autonomous fleet and SpaceX's AI clusters. Yet the announced $16.8B first phase is an estimated investment, not proven wafer economics, and the prospectus warns Tesla and Intel need not remain involved while specific projects still require separate agreements. Before crediting a synergy, I want funded equipment orders, competitive yields and lower cost per usable chip than established foundries. The risk is especially asymmetric given SpaceX spent $40B on Super Intelligence capex in nine months, meaning a deal could simply move a capital intensive buildout onto Tesla's shareholder base. At October 30 prices, Tesla and SpaceX together were worth approximately $3.24T after eliminating Tesla's stake, still $1.73T below Nvidia. Even a generous standalone sum of the parts valuing Tesla autos, energy, unproven robotaxis and robotics at $400B, $200B, $300B and $200B, then SpaceX launch, Starlink and Super Intelligence at $200B, $800B and $1.1T, totals only $3.2T. At an aggressive 40 times sustainable free cash flow, $5T, $7T and $10T require $125B, $175B and $250B in annual FCF, implying $500B, $700B and $1T of revenue at 25% cash margins and roughly 35% operating margins, against $105B in combined revenue and negative $33B in FCF through September. At market parity Tesla holders would own roughly 44%, subject to an unknown exchange ratio and Musk's supervoting control, so I would only credit additional value after independently approved terms, competitive Terafab yields, orbital cost per token evidence and sustained cash flow after capex over the next 12 to 36 months.

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WHY $INTC IS ON TRACK FOR ITS WORST TRADING DAY IN OVER 50 YEARS Intel is going through it today after Q4 revenue guidance of $15B to $16B missed the $17.1B consensus but crazy how quickly its operating leverage can deteriorate despite extraordinary chip demand. Q3 revenue grew 21% to $16.5B, yet non-GAAP gross margin is guided down from 44.1% to 38%. Management attributed $300M of lost Q4 revenue and 200 basis points of margin pressure to the tragic Israel factory accident, explaining only about one-fifth of the revenue shortfall and one-third of the margin decline. The rest reflects weaker PCs, underutilized factories and product mix, with client sales expected to fall over 20% sequentially. Even excluding the accident leaves roughly 40% gross margins, making this much bigger than a temporary shutdown. What makes this especially frustrating is that Data Center and AI revenue increased 78% to $7.3B and generated $3B in operating profit, yet the underlying server figures reveal a more complicated story. Intel's 10-Q attributes server growth to a 54% increase in average selling prices but only 10% higher unit volumes, primarily reflecting richer product mix rather than proven market share gains. Meanwhile, client CPU units fell 14% even as prices increased 9%, suggesting memory inflation is colliding with competitive pressure rather than explaining everything. Management anticipates industry server CPU unit demand growing more than 30% annually through 2027, but Intel 3 manufacturing constraints and EMIB packaging substrate shortages continue limiting shipments. Shifting capacity toward Xeon helps but doesn't solve packaging shortages, potentially giving competitors more opportunities to capture share. The foundry numbers turn this into a question of returns rather than technology. Intel reported $6.7B in foundry revenue, but $6.3B was internal, while only $411M was external and much of that came from a nonrecurring contract, against a $1.85B operating loss. Improving 18A yields and advancing 14A are encouraging, but prospective customers evaluating a process aren't committed high-volume orders. Intel also disclosed additional substrate funding requirements estimated at $5.3B to $6.1B, illustrating how much investment is needed to unlock current demand. Management expects $20B in gross CapEx this year, substantially more in 2027 and likely no positive free cash flow next year. Better yields create shareholder value only if utilization and customer commitments eventually cover depreciation and the cost of expansion. At approximately $65 and a projected 5.44B diluted shares, Intel remains valued around $350B after the selloff. At an illustrative 20x normalized earnings, that requires roughly $17.5B in sustainable annual net income versus about $11B from annualizing Q3 adjusted profits, before factoring in weaker PC guidance. Its $54B of cash and investments against $50B of debt buys time, but the $23B equity raise shows how shareholders are helping finance the turnaround. My bullish scenario requires accelerating server unit shipments without market share losses, improving manufacturing yields and utilization, and recurring external foundry contracts shrinking losses faster than capital spending rises. I'll track those three developments across upcoming earnings because while I remain incredibly bullish on the AI CPU opportunity, I'm considerably less comfortable with Intel's risk/reward until that opportunity translates into sustainable free cash flow per share.

WHY MARKET IS COMPLETELY MISREADING $AMZN EARNINGS I think Amazon's selloff is confusing the cost of building AWS with the economics of the business being built. AWS revenue grew 39% to $46B, but the more revealing number is that operating profit increased $6.3B on roughly $13B of additional revenue, implying nearly 49% incremental operating margins. That doesn't establish returns on new AI capacity because depreciation is still catching up and management acknowledges AI margins remain below mature cloud margins. However, it challenges the idea that Amazon is adding revenue without adding earnings. The $578B backlog and Jassy's expectation of growth above 40% in both 2027 and 2028 provide remarkable visibility, although neither represents guaranteed near-term profit. What makes this opportunity more interesting is that inference potentially improves AWS economics beyond simply renting more GPUs. Bedrock token volume increased 17x while inference already represents more than half of AWS AI revenue, and management says custom chips saved customers over $2B in the quarter. The question is how much of those savings Amazon retains rather than passes through in lower prices. Older Trainium capacity renting at a premium proves scarcity today, not a longer useful life. More importantly selling Trainium externally beginning in 2027 creates immediate hardware revenue, whereas deploying those same chips inside AWS could generate years of recurring revenue and larger cumulative cash flows. An AI agent also consumes CPUs for tool calls alongside storage and networking, allowing AWS to capture more spending per workload than the accelerator bill alone which makes chip allocation and utilization just as important as chip performance. I also understand the selloff because trailing operating cash flow reached $168B while free cash flow fell to negative $42B, with $220B in cash CapEx planned this year and more expected in 2027. As an illustrative hurdle, every additional $100B of productive capital needs approximately $12B in sustainable annual operating profit to earn a 12% pretax return, and AWS doesn't disclose returns by infrastructure cohort. Yet the softer retail headlines don't establish deterioration either. Moving Prime Day into Q2 reduced reported Q3 growth, while North American operating income rose from $4.8B to $8.7B and International profit improved. Advertising's 12% growth also faced an unusual comparison, although agentic commerce could eventually weaken Amazon's direct customer relationship. Over the next few reports I'll watch AWS incremental profit as new depreciation arrives, Trainium's contribution to inference economics and whether operating cash flow begins catching up with CapEx. If those converge, the market may be penalizing Amazon for building an asset whose long-term earning power it's underestimating. If they don't, the discount is deserved.

WHY THE $NOW SELLOFF COULD BE A MASSIVE OVERREACTION I think the market is treating ServiceNow 18.5% Q4 cRPO guide as proof that AI isn't accelerating growth, but the arithmetic is more nuanced than the 250 basis point drop from Q3's 21%. Roughly half of Q3's 100 basis point cRPO beat came from early renewals, or about 50 basis points. Q4 includes another 25 basis point headwind from public sector contract mix and 50 basis points of backlog excluded by transaction for commerce provisions. Mechanically adjusting those items narrows the comparison to around 125 basis points, although the Q4 impact of pulled forward renewals remains unquantified, so this isn't a complete reconciliation. Crucially, Q4 subscription revenue is still guided to grow 21.5% in constant currency versus 20.5% in Q3, hardly evidence of collapsing demand. What makes this harder to judge is that ServiceNow's AI adoption metrics are growing much faster than the revenue line they're supposed to transform. AI net new ACV increased 65%, production consumption rose 13x and Control Tower net new ACV grew more than 6x, but annual contract value isn't recognized revenue, and usage growth tells us little about incremental dollars without a starting base. On roughly $15.8B in subscription revenue, moving annual growth from 20% to 23% requires about $475M of additional recognized revenue after any existing spending AI replaces. Management's raised $1.7B year-end AI ACV target makes that plausible, but we don't know how much is genuinely additive rather than bundled into existing contracts. The opportunity investors may be overlooking is ServiceNow becoming the control layer for agents rather than simply selling more software seats. Its CMDB already maps enterprise assets while existing workflows connect IT, security and identity, giving Control Tower and AI Passport a useful foundation for deciding which agents can access sensitive systems and revoking permissions when necessary. That is a distribution advantage, not an automatic monopoly, because Microsoft, Salesforce, Palantir and cybersecurity platforms compete for the same budgets. There's also a cost to accelerating deployments because management expects roughly 50 basis points of Q4 subscription revenue to be classified as professional services instead, a segment that reported a GAAP gross loss this quarter. That's why actual expansion in total customer spending matters more than agent activity. That's why I wouldn't dismiss the nearly 25% selloff as irrational or call ServiceNow obviously cheap. At roughly $120B in market value, guided 36% adjusted free cash flow margins on about $16.2B in revenue imply around $5.8B of 2026 adjusted cash flow, or 21x, but GAAP operating margin was only 9.5% versus 32.5% adjusted and stock compensation equaled 15% of revenue. In illustrative 2027 scenarios, a case with 18% revenue growth and a 32% cash margin produces roughly $6.1B, while stronger AI monetization supporting 22% growth and 36% margins produces $7.1B, implying very different valuations. Over the next few quarters I want normalized cRPO to stabilize, AI to lift consolidated revenue rather than replace it and strong cash margins to persist. If those converge, this is a mispricing; otherwise the discount is deserved.

$MRVL DROPS 12% ON TALKS TO BUY AN $83B AI OPTICS COMPANY Marvell is reportedly in advanced talks to acquire $LITE, a major supplier of optical components used in AI data centers. Why this could be Marvell’s biggest bet yet: - $LITE is valued at ~$83B, more than 25x Marvell’s Celestial AI deal ($3.25B). - Lumentum reportedly holds 70–80% of the pump laser market, and is almost sold out for 2029. - Marvell already buys lasers from Lumentum, so this would bring a key supplier in-house. - $LITE's revenue more than doubled (+109% YoY) to $1.01B last quarter. - $NVDA has also invested $2B in $LITE. But the market is worried about dilution. A deal this size likely can’t be paid for entirely in cash, so stock or debt is probably involved. Google already holds a warrant for up to 59M additional $MRVL shares. Is the market punishing the price, or the dilution?

THE REAL REASON $GOOGL IS GETTING HAMMERED AFTER EARNINGS Google selloff is less a rejection of its AI position than a repricing of economics of replacing Search. Search revenue grew 12% to $63.35B versus 17% in Q2 while query growth reached a five-year high since management had flagged tougher comparisons and currency so slowdown cannot be attributed entirely to AI Mode, and Alphabet doesn't disclose revenue per AI query. The important distinction is incremental versus cannibalized searches. On an illustrative sensitivity, a permanent 5% to 10% shortfall against today's quarterly Search revenue would remove $3.2B to $6.3B in sales and, at an assumed 50% contribution margin, $1.6B to $3.2B of quarterly operating profit. That's the economic risk Cloud now has to offset, not simply the headline Search miss. What makes this more complicated is that Cloud is already offsetting a meaningful amount of that risk. Revenue doubled to $30.7B, while operating profit increased $7.5B to $11.1B, implying a remarkable 48% margin on the incremental $15.6B of sales. Even so, that shouldn't be extrapolated indefinitely because Alphabet now books TPU system sales in Cloud, and those hardware economics may differ from recurring compute services. June's SEC filing reported approximately $514B in Cloud commitments, with just over half of total backlog expected to be recognized over 24 months, but contractual backlog isn't cash or profit, and deliveries depend on capacity and consumption. Google has created an external market for proprietary TPUs, yet we still don't know their unit margins or returns on capital. Cash flow is where the investment debate becomes much less comfortable since Google generated $42.3B of operating cash against $51.4B of capex, producing $9.1B in negative free cash flow adding back the previously accrued $5.2B EU fine still leaves roughly $3.9B negative. Inventory absorbed another $3.2B of cash, some associated with contracted TPU systems, but inventory turning into sales won't eliminate depreciation, electricity or recurring equipment replacement. Equally important Alphabet issued $12.4B of common shares and $28.7B in notes while repurchasing none and shared AI and corporate operating costs rose $3.2B year over year. Its $8.7B unrealized investment loss affected EPS, not operations. The question is whether Cloud's added earnings exceed the lifecycle cost of the infrastructure, not whether revenue keeps doubling. At roughly $3.5T in after-hours market value, an illustrative sum of the parts assigning 25x annualized Cloud operating profit implies about $1.1T for Cloud and leaves $2.4T, or roughly 16x annualized Services operating profit, for the rest, before adjusting for central expenses, other assets and debt. That makes the stock look interesting rather than obviously cheap, especially because Cloud profit doesn't include all shared AI costs. Across the next two to four reports, I want to see Search monetization stabilize as AI Mode gains share, Cloud margins remain resilient despite TPU mix, and operating cash flow begin outpacing capex without further dilution. If those three converge, today's discount may be a significant mispricing. If not, the market is correctly charging Alphabet for a much more capital-intensive future.

MARKET IS COMPLETELY MISREADING THE $ACHR TURNAROUND Archer could be a Mini Monster hiding in plain sight, not because Midnight is close to commercialization but because the Boeing acquisition could fundamentally change what investors own. Insitu brings an established defense drone business with more than $200M in annual revenue that Boeing describes as profitable, while Wisk adds autonomous flight technology and SkyGrid contributes airspace software. Insitu already serves militaries and Wisk's flight-test data could strengthen Archer's ZEE platform but question is whether shared engineering, defense distribution and recurring software revenue create genuine synergies rather than unrelated businesses sharing a ticker. Until the deal closes and acquired-business financials become available, that remains unproven. The biggest obstacle is still the aircraft, and I wouldn't confuse Archer's piloted city-to-city demonstrations with a verified full piloted transition from hover to wingborne flight and back. Archer reports completing the FAA's third certification phase but formal compliance testing remains decisive since $JOBY has already flown an FAA-conforming aircraft built for Type Inspection Authorization, suggesting a more mature certification test program even though the companies measure milestones differently. Halo and Thunder offer another revenue path through defense, but their first flights and deliveries remain future targets rather than awarded production contracts. Insitu could reduce dependence on those timelines, but it cannot eliminate certification risk or guarantee the acquired autonomy technology will work across aircraft platforms. The valuation is where this becomes interesting because at roughly $3.26B in market value, Archer would represent about $3.9B at the same share price after Boeing's planned 19.75% share issuance, before warrants. Using June's $1.56B in cash and investments against approximately $80M in debt implies about $2.4B in pro forma enterprise value before further cash burn. If I assign Insitu an illustrative 2x its $200M annual revenue, roughly $2B is already being attributed to the aircraft and autonomy businesses. That's why the next 12 to 24 months matter so much because I want the Boeing transaction completed, audited Insitu margins and cash flow disclosed, a documented full piloted transition, tangible FAA certification testing progress and actual defense production awards. Archer consumed $305M in operating cash plus another $70M in capital spending during the first half, so the real test is whether Insitu can help finance the next stage rather than simply make reported revenue look better. If these businesses begin sharing technology, winning contracts and generating cash independently of Midnight, I think Archer could become something much bigger than an air taxi manufacturer. However, if certification slips and dilution accelerates, the Mini Monster thesis could break before it ever gets a chance to mature.

THE $TE TURNAROUND COULD BE STARTING RIGHT NOW T1 could be approaching one of most interesting turnaround opportunities in the energy sector right now because while the market continues valuing T1 Energy like a struggling solar manufacturer with significant financing risks when I think we're finally beginning to see the pieces come together for a potentially dramatic improvement in its underlying economics starting in 2027. What makes this particularly interesting is that T1 isn't some speculative company hoping to eventually build a solar manufacturing business because it already operates G1_Dallas which produced 935 MW of solar modules during Q2 and generated approximately $250M in quarterly revenue, representing nearly 90% growth year over year. However biggest limitation of current business model is that T1 still purchases solar cells from third parties before assembling them into finished modules which means a meaningful portion of the economics are captured elsewhere in the supply chain which is why I think the upcoming G2_Austin facility could fundamentally change investment thesis because instead of simply assembling modules using purchased components, T1 is moving toward controlling the manufacturing process from domestically sourced polysilicon and wafers through finished solar cells and modules. I think that's an important distinction because the real opportunity isn't necessarily selling significantly more solar panels at today's margins but capturing substantially more profit on every module sold as the company brings one of most valuable parts of the supply chain in-house with the stock trading near multiyear lows and investors increasingly concerned about the company's ability to finance that transition I think we're approaching the point where successful execution could begin creating a meaningful disconnect between what the market is pricing in today and what the business could eventually become. The biggest reason I'm becoming increasingly constructive on T1 is that G2_Austin is finally moving from an ambitious manufacturing plan toward a tangible production milestone with management targeting initial operations during the first quarter of 2027. The first phase is expected to provide approximately 2.1 GW of annual solar cell manufacturing capacity which would complement the existing 5 GW module capacity at G1_Dallas and allow T1 to capture economics that currently flow to external suppliers. Meanwhile T1 has already secured approximately 3 GW in firm customer commitments, including a 641 MW agreement with Clearway and another 900 MW agreement with Treaty Oak, suggesting the company isn't simply investing hundreds of millions of dollars into capacity without identifying customers. Another development I find particularly interesting is T1's acquisition of the TOPCon intellectual property it previously licensed from Evervolt for approximately $135M, which could eliminate an estimated $25M to $40M in annual licensing expenses while giving the company greater control over its manufacturing technology. When you combine higher domestic content, better margins from internal cell production and lower licensing expenses, I think there's a credible path toward T1 becoming a materially more profitable business than its recent financial results would suggest but what makes the timing particularly interesting is that several external developments are beginning to work in T1's favor just as its domestic manufacturing capacity approaches production. What I find even more important is that T1 recently secured a Commerce Department waiver allowing it to import up to 1.725 GW of solar cells while G2_Austin remains under construction, effectively helping bridge the transition without unnecessarily disrupting production at its existing Dallas facility. That's an important near-term risk reduction because the last thing shareholders need is the company losing revenue or customer relationships while waiting for its own cell manufacturing capacity to come online. There's also another potentially overlooked opportunity in Norway, where local officials approved the conversion of part of T1's Giga Arctic campus into a data center facility, with 50 MW of allocated grid capacity and a position in the queue for additional power that could eventually bring total access to 396 MW. I wouldn't assign significant value to that opportunity until management secures an actual commercialization or monetization agreement, but I think it introduces another potential source of capital at a time when financing its U.S. manufacturing expansion remains the company's biggest challenge. Between the improving policy environment, temporary import flexibility, contracted customer demand and potential monetization of noncore assets, I think several important pieces of the turnaround are beginning to align. Management has already raised $120M through convertible debt, but additional financing remains necessary, and I think that's the single biggest factor investors need to monitor because raising capital through additional debt or equity could materially affect how much of the eventual turnaround accrues to existing shareholders. That's why November 12 becomes such an important checkpoint, as I'll be watching for further progress on G2 construction, stronger underlying operating margins, a credible financing solution and confirmation that initial cell production remains on schedule for Q1 2027. However, what makes the opportunity compelling to me is that the market appears to be pricing in substantial execution and financing uncertainty at precisely the moment when several catalysts could begin reducing that uncertainty. I don't think the turnaround has been proven yet, but I think the foundations are becoming increasingly visible, and if management successfully finances G2, brings domestic cell production online and begins demonstrating the margin improvement it has outlined, there's a credible argument that today's valuation could eventually look extraordinarily cheap. That's why I think the next several months could mark the beginning of a much more meaningful turnaround for T1 rather than simply another temporary rally in a beaten-down solar stock.

WHY $SOFI COULD BE THE BEST GROWTH STOCK TO OWN IN 2027 SoFi just delivered another record quarter with approximately $1.37B in adjusted revenue, representing 44% year over year growth, while adjusted EBITDA surged 70% to nearly $470M and earnings per share increased 64% to $0.18. What's impressive is that the company continues accelerating its financial performance while expanding its customer base, with total members reaching 17.1M, up 35%, and total products increasing 44% to approximately 26.7M but I do think the biggest competitive advantage is something that often gets overlooked when investors compare SoFi with traditional fintech companies, which is its banking charter and enormous deposit base. SoFi now holds approximately $51.3B in deposits, representing roughly 90% of its average liabilities, and management estimates those deposits cost approximately 145 basis points less than comparable warehouse financing, translating into around $745M in annualized interest expense savings and funding advantage helped support a 6.14% net interest margin and creates a structural competitive advantage that fintech lenders without their own banking charters simply cannot replicate as easily. What makes that funding advantage even more interesting is how effectively SoFi is beginning to translate it into accelerating lending growth without a corresponding deterioration in credit quality since during Q3 total loan originations reached a record $16.9B, increasing 71% year over year, while its personal lending business continued benefiting from strong demand and an expanding network of capital markets partners. Normally I'd become increasingly cautious when a consumer lender begins accelerating originations this aggressively because rapid lending growth can sometimes conceal deteriorating underwriting standards, but SoFi's recent credit performance has actually been moving in the opposite direction. I think the bigger opportunity is that SoFi is gradually becoming much more than a consumer lender because approximately 87% of its products now come from non-lending services, including banking, investing, payments and other financial products. Lending still contributes roughly 59% of adjusted revenue today which shows how much work remains in monetizing the broader ecosystem but I think that gap also illustrates how significant the long term opportunity could become as existing members adopt additional products and SoFi captures more revenue from each customer relationship. The other development I think investors should be paying considerably more attention to is SoFi's expansion into digital payments infrastructure because the company is positioning itself to participate in the transition toward blockchain-based financial settlement rather than simply competing for deposits and consumer loans. Through SoFiUSD, its bank-issued stablecoin, the company has already begun migrating settlement activity across its Mastercard card program onto blockchain infrastructure, with the program expected to process more than $25B in annualized transaction volume which is interesting because SoFi has an advantage that many cryptocurrency-native companies don't possess, which is an established nationally chartered banking operation capable of integrating new payment technology directly into existing financial services infrastructure. Ultimately I think the strongest argument for SoFi heading into 2027 comes directly from management's financial outlook because the company is guiding for approximately $6.4B in adjusted revenue, $2.24B in adjusted EBITDA and $0.90 in earnings per share next year which represents approximately 27% revenue growth alongside nearly 48% earnings growth compared with its updated 2026 EPS guidance of $0.61 which is exactly the kind of operating leverage I want to see as a growth company begins reaching greater scale. Of course I don't want to suggest the investment is without risks because consumer credit remains sensitive to unemployment and economic conditions, revenue growth is expected to moderate from roughly 40% in 2026 to 27% in 2027 and its Tech Platform segment continues facing challenges after losing a major customer. I also think investors need to remember that a growing deposit base and strong capital position don't automatically eliminate credit cycle risks, especially when lending still generates the majority of revenue. However, what makes SoFi particularly compelling to me is that the company appears to be entering a phase where revenue diversification, lower funding costs and improving operating leverage could begin translating into substantially faster earnings growth than revenue growth. If management can execute on its 2027 outlook while maintaining credit discipline and accelerating monetization across its broader financial services ecosystem, I think there's a credible argument that SoFi deserves to be valued less like a traditional consumer lender and more like a high growth financial platform with multiple durable earnings engines.

WHY $ASTS JUST UNLOCKED A MASSIVE OPPORTUNITY IN BRAZIL AST securing additional spectrum rights in Brazil is one of the most important developments for the company this year because it demonstrates how enormous the opportunity could become when AST combines its satellite tech with existing mobile network infrastructure rather than trying to build an entirely new telecommunications business from scratch. Brazil's telecommunications regulator Anatel has now authorized AST to use 15+15 MHz of S-band spectrum, representing 30 MHz of satellite capacity while separately approving secondary access to another 10+10 MHz of 700 MHz spectrum through agreements with four regional mobile network operators. That effectively gives AST two complementary ways to deliver cellular broadband directly to ordinary smartphones, with dedicated S-band capacity supporting its satellite network while lower frequency 700 MHz spectrum can improve coverage characteristics through its existing carrier partnerships. AST also announced plans to establish four gateways connecting its BlueBird satellites to local mobile networks, which means this is increasingly moving beyond regulatory approvals and commercial agreements toward assembling the actual infrastructure required to deliver service. What makes this particularly compelling for AST is that I think investors are still underestimating the strategic advantage of its carrier partnership model, especially as SpaceX becomes increasingly aggressive about turning Starlink Mobile into a direct competitor to traditional wireless providers. Interestingly, Brazil has also authorized a 15+15 MHz S-band allocation for Starlink, which tells me we're beginning to see the regulatory foundation for a much larger competitive battle over direct to device connectivity. However, I think the two companies are approaching this opportunity from fundamentally different directions because SpaceX has been spending billions acquiring spectrum and pursuing terrestrial infrastructure to support its own wireless ambitions, while AST is integrating its technology with carriers that already own spectrum, operate mobile networks and maintain established billing relationships with millions of customers. That's an important distinction because regional operators in Brazil have every incentive to expand coverage into areas where traditional infrastructure is uneconomical, but they don't necessarily want to help create a new competitor that could eventually take those same customers away. By positioning itself as an extension of existing wireless networks rather than a replacement for them, AST can potentially capture meaningful satellite connectivity revenue while allowing its partners to maintain the direct customer relationship. I think this is also why its broader network of more than 60 mobile operator partnerships representing over 3 billion subscribers becomes so valuable, because the company isn't simply assembling a satellite constellation but is gradually creating a global distribution platform that could become increasingly difficult for competitors to replicate. The other part of this announcement that I think deserves considerably more attention is the potential economic value of the spectrum authorization itself because access to suitable frequencies is one of the most important constraints on building a commercially viable satellite broadband network. Spectrum is often analyzed using MHz-pops, which measures the amount of spectrum multiplied by the population covered, and applying that framework to 30 MHz across Brazil's population of more than 210 million produces approximately 6.3 billion theoretical MHz-pops so at an illustrative valuation of $0.10 to $0.50 per MHz-pop, that would suggest somewhere between $630M and $3.15B in potential spectrum value, although I want to be extremely careful about treating that calculation as an actual appraisal. AST's S-band authorization is not equivalent to owning exclusive, freely transferable terrestrial spectrum, and its additional 700 MHz access is secondary usage within its partners' licensed territories rather than outright ownership, which means the economic rights are materially different from the spectrum assets that typically support those valuation benchmarks. However, I think the strategic comparison is still incredibly interesting because SpaceX has agreed to acquire roughly $22B in U.S. spectrum rights from EchoStar, while AST is demonstrating that it can expand its international spectrum position through regulatory authorizations and commercial partnerships without announcing a comparable multibillion-dollar acquisition. Those transactions aren't directly comparable, but they illustrate how capital intensive spectrum acquisition can become and why AST's ability to combine its own satellite authorizations with carrier-owned spectrum could be a meaningful competitive advantage. Ultimately, I think the more important valuation question isn't what AST could theoretically sell these rights for today, but how much recurring connectivity revenue it can generate from them once its satellite network reaches commercial scale. I think Brazil offers an early glimpse into how AST could eventually become one of the most important communications infrastructure companies in the world because the opportunity extends far beyond providing emergency satellite connectivity to people who occasionally lose cellular coverage. We're talking about potentially delivering voice, broadband data and video streaming directly to existing smartphones across enormous geographic areas where traditional networks either don't exist or struggle to provide consistent service, while monetizing that coverage through telecommunications companies that already serve billions of customers globally. Of course, I don't want to suggest today's announcement immediately translates into billions of dollars in revenue or guarantees that every one of Brazil's 200 million mobile lines becomes an AST customer, because the company still needs to deploy sufficient satellite capacity, complete its ground infrastructure, integrate with local operators and prove that the service can deliver attractive economics at scale. Competition from Starlink is also very real and the commercial value of these spectrum rights will ultimately depend on their regulatory terms, network performance, customer adoption and the economics of AST's revenue sharing agreements but what makes me increasingly bullish is that AST continues assembling the pieces required to turn its technology into a global commercial network, with Brazil now providing a particularly compelling example of how that strategy can work. If the company can replicate this combination of dedicated spectrum, carrier partnerships and ground infrastructure across other large markets, I think the opportunity becomes substantially bigger than simply connecting rural smartphones because AST could ultimately become an essential connectivity layer for the global telecommunications industry. That's why I continue viewing AST as one of the most compelling long term opportunities in the space economy, and I think developments like this reinforce how much value could eventually be created if management successfully executes on its global deployment strategy.

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ANTHROPIC'S IPO REVEALS A WILD CONFLICT OF INTEREST Anthropic just filed its public S-1 to list on Nasdaq under the ticker $ANT. The filing shows two of its biggest strategic partners are also its investors, suppliers, distributors, and competitors. Amazon $AMZN and Google $GOOGL are simultaneously: - Suppliers: Anthropic has committed at least $110B to AWS and $110B to Google Cloud. - Distributors: 47% of Anthropic's 2025 revenue came through their cloud marketplaces, which charge fees on those sales. - Investors: Both hold major stakes in Anthropic. - Chip makers: Anthropic uses Amazon’s Trainium chips and Google’s TPUs to train and run Claude. Both companies are building their own AI models to compete with Claude. And they’re already booking the valuation as profit. Amazon recorded a $53.4B pre-tax gain in Q2, primarily from its Anthropic stake. Alphabet booked a $28.7B gain in Q1. Anthropic itself warned in the S-1 that these relationships could create conflicts of interest and affect its access to compute. The hyperscalers have not given it all the capacity it wants, in part because they increasingly see it as a rival. Amazon now carries its Anthropic stake at $190.4B, up from $74.2B a quarter earlier. So when Anthropic’s valuation rises, its rivals’ profits rise too. Is $ANT’s biggest risk its own partners?

ANTHROPIC JUST PROVED THE AI BUILDOUT IS FAR FROM OVER $ANT newly released S-1 might be one of the most important documents investors read this year because while the market has spent the past several weeks questioning whether AI infrastructure spending is sustainable the financial disclosures from one of the largest AI customers in the world paint a very different picture of what is actually happening underneath the surface. Just three years ago, Anthropic generated approximately $41M in annual revenue, and during the first six months of 2026 alone, that figure exploded to $16.3B, which is an almost incomprehensible growth trajectory for a company that only commercially launched Claude in 2023. What's even more remarkable is that the company is generating more than $6.6M in annualized revenue per employee and reported approximately 900% net revenue retention as of September 30 meaning its established customer cohort increased spending roughly ninefold over the preceding year. Companies aren't simply experimenting with AI anymore because they're increasingly integrating these models into actual workflows and expanding their usage as the economic value becomes clearer. We're also seeing that transition through products like Claude Code and Cowork, with the latter reportedly growing even faster during its initial adoption period, while Anthropic begins bringing those capabilities directly into Claude to create a more unified agentic platform. To me, this is the strongest evidence yet that the next phase of AI is moving beyond asking chatbots questions and toward software that can actually execute complex tasks, which naturally creates significantly more demand for inference compute as these systems become embedded in everyday business operations. What makes this especially bullish for the broader AI infrastructure buildout is that Anthropic's extraordinary revenue growth is being translated into actual multiyear spending commitments rather than simply ambitious projections about future demand. The company has outlined more than $500B in infrastructure commitments across cloud computing, specialized chips and dedicated data center capacity, with a substantial portion structured around obligations that cannot easily be canceled even if utilization falls short of expectations. One disclosed Broadcom equipment lease alone involves approximately $125B in rental payments over five years, while Anthropic also has enormous commitments involving Amazon, Google, Microsoft and other infrastructure partners. I think this is particularly important because the company isn't choosing between Nvidia GPUs and custom accelerators as though one architecture necessarily eliminates demand for the other, but is instead building a diversified compute strategy using Nvidia hardware, AWS Trainium, Google TPUs and other specialized systems to optimize costs and maximize available capacity. Even more interesting is that Anthropic is gradually moving toward a hybrid infrastructure model where it leases chips directly inside dedicated data centers built around its requirements, which creates a much more direct connection between AI model demand and spending on the physical infrastructure supporting those models. Meanwhile, nearly half of Anthropic's 2025 revenue flowed through Amazon and Google's cloud marketplaces, demonstrating how deeply AI consumption is becoming embedded in existing enterprise cloud budgets, although those distribution relationships also come with meaningful fees and dependency risks. The bigger takeaway for me is that AI infrastructure investment is increasingly being supported by enormous commercial commitments from companies experiencing actual customer adoption rather than simply building capacity and hoping somebody eventually shows up to use it. The third takeaway, and probably the one that matters most for how I'm positioned across my portfolios, is that Anthropic's S-1 effectively reads like a confirmation of nearly every physical infrastructure bottleneck we've been discussing throughout 2026. The company specifically highlights the concentration of advanced semiconductor manufacturing at TSMC, tight HBM supply among the major memory producers and increasingly constrained availability of critical electrical equipment such as transformers, switchgear and power generation turbines. Anthropic even acknowledges that accelerating infrastructure deployment can require paying premium prices for equipment with long manufacturing lead times, which tells me the shortage isn't simply about finding enough GPUs anymore but increasingly about finding enough electricity, cooling capacity, networking equipment and physical infrastructure to operate them. I think this is where the implications become particularly interesting for companies like $VRT, $FPS, $BE and $VST because the AI industry's biggest customers are effectively confirming that access to reliable power and the equipment required to distribute it has become a strategic competitive advantage. The same applies to semiconductor and connectivity suppliers because Anthropic's diversified compute strategy creates demand across multiple chip architectures, while increasingly complex agentic workloads require enormous amounts of memory bandwidth, networking capacity and low latency infrastructure. What's particularly remarkable is that some of Anthropic's infrastructure arrangements extend decades into the future, including dedicated power and data center commitments that can involve long term contractual payments. Obviously, those commitments aren't guaranteed profits for every supplier, but they demonstrate that this infrastructure expansion is becoming a multidecade investment cycle rather than a temporary burst of spending around one generation of AI accelerators. I think that's an incredibly important distinction because the opportunity extends far beyond whichever company manufactures the fastest GPU today and increasingly includes the entire ecosystem responsible for getting that compute deployed, connected, powered and utilized. There is also a meaningful mismatch between Anthropic's consumption-based revenue model and its long term infrastructure obligations because customers can reduce their spending much more quickly than Anthropic can necessarily unwind committed compute capacity. That's a legitimate risk, and I think it reinforces why investors need to distinguish between the strength of AI demand and the financial returns ultimately earned by the companies funding that demand. However, what I find incredibly reassuring is that we finally have a detailed public financial document showing how rapidly customers are adopting AI, how aggressively existing customers are increasing consumption and how much physical infrastructure one of the world's largest AI developers believes it needs to support that expansion. I don't think the conclusion is that every neocloud, semiconductor manufacturer or power company automatically becomes a winner, because capital structure, execution, pricing power and competitive positioning will still determine who captures the economic value. Instead, my biggest takeaway is that the AI infrastructure buildout itself is supported by substantial and rapidly growing commercial demand, even if investors are increasingly questioning how that opportunity will be distributed across the industry. That's precisely why I continue focusing on companies that control scarce infrastructure, solve critical bottlenecks and have the balance sheet strength to execute through a more selective financing environment. The market can continue questioning valuations and capital returns, and in many cases those concerns are justified, but after reading Anthropic's S-1, I find it considerably harder to argue that the underlying demand for AI infrastructure is somehow disappearing. If anything, I think we're only beginning to appreciate how much physical infrastructure this transition is going to require.

ELON MUSK SAYS MOST NEOCLOUDS WILL DIE BUT THESE FOUR COULD THRIVE Elon Musk's latest warning about the neocloud industry is one of the most important developments investors should be paying attention to because while his prediction of widespread failures and consolidation across more than 200 operators sounds incredibly bearish, I actually think it could create an enormous competitive advantage for the handful of companies that have already figured out how to finance their AI infrastructure expansion. Musk argues that debt markets have almost entirely shut off financing to companies without meaningful revenue outside AI data centers, but I think the more important distinction is that financing isn't disappearing as much as it's becoming considerably more selective since lenders are increasingly distinguishing between operators borrowing against speculative future demand and those financing infrastructure backed by contracted revenue, customer prepayments and valuable assets that can serve as collateral. That's an important difference because a company with billions of dollars in commitments from Microsoft or Meta presents a very different credit profile than a smaller operator building GPU capacity without knowing who will ultimately rent it. In fact, I think this environment could ultimately favor four companies in particular, $NBIS, $IREN, $CRWV and $CIFR, although each has a very different business model and level of financial risk. What makes Nebius and IREN particularly interesting is that both have developed financing structures designed to reduce their dependence on traditional unsecured borrowing while continuing to expand their infrastructure at an extraordinary pace. Nebius finished Q2 with approximately $8B in cash, expects more than $9B in customer prepayments during 2026 and has already demonstrated its ability to secure asset-backed financing through a $775M facility supported by deployed GPUs and contracted cash flows from an investment-grade customer. With more than $40B in customer commitments, I think Nebius has a potentially repeatable financing model where customers effectively help fund the infrastructure they're purchasing, reducing the amount of external capital required for each deployment. IREN is approaching the same problem from a slightly different direction because its recent contracts include customer prepayments covering approximately 45% to 55% of GPU capital expenditures, while the remaining investment can be financed through loans secured by those GPUs. Its Microsoft agreement supported a $3.65B investment-grade financing facility at approximately 6%, while another $2.4B facility was arranged at a fixed 9% rate for deployments involving customers without investment-grade credit ratings. I think those transactions are particularly important because they demonstrate that even in a tightening credit environment, institutional lenders remain willing to finance AI infrastructure when the underlying economics, customer commitments and collateral are sufficiently attractive. Meanwhile, CoreWeave and Cipher demonstrate two additional ways companies can navigate this environment, although I think their risk profiles are materially different from those of Nebius and IREN. CoreWeave is arguably the best example of why investors need to distinguish between unsecured corporate borrowing and asset-backed project financing because while its unsecured bonds have traded at yields approaching 15%, the company has continued accessing financing through structures supported by GPU collateral and contracted cash flows from customers like Microsoft and Meta. Goldman Sachs recently highlighted how those financing arrangements can produce borrowing costs considerably below what distressed unsecured bond yields would suggest, while Nvidia's commitment to purchase unused capacity provides another layer of demand support. However, I still consider CoreWeave the most financially vulnerable of these four because its substantial leverage, enormous capital requirements and dependence on maintaining attractive GPU rental economics create meaningful refinancing and execution risks. Cipher, on the other hand, isn't really a traditional GPU neocloud because its business increasingly revolves around developing and leasing the physical infrastructure that AI operators need rather than directly purchasing GPUs and renting compute. Its Barber Lake facility now carries more than $9B in contracted revenue over 20 years, while its broader portfolio has approximately $16.6B in contracted revenue, creating a very different financing proposition where lenders can evaluate long duration leases and underlying real estate infrastructure rather than relying primarily on the economic life of rapidly depreciating GPUs. That doesn't eliminate construction overruns, financing risk or tenant concentration, but I think it gives Cipher a more infrastructure-oriented business model that could become increasingly attractive as capital markets prioritize predictable contracted cash flows. Ultimately, I think Musk is probably right that we're heading toward a meaningful consolidation across the neocloud industry, but I disagree with the idea that this automatically translates into a collapse in AI infrastructure demand or that every company without a large non-AI business is destined to struggle. If anything, I think the more likely outcome is that weaker operators without investment-grade customers, meaningful prepayments, secured financing arrangements or sufficient liquidity find themselves increasingly unable to fund expansion, while better-capitalized competitors gain opportunities to acquire valuable power capacity, data center infrastructure and customer relationships at more attractive prices. It's also worth remembering that Musk has an enormous strategic interest in how this industry develops because SpaceX is pursuing its own compute ambitions and would naturally benefit from competitors facing higher financing costs or struggling to expand. That doesn't invalidate his warning, but I think it's important to recognize that the company delivering the warning is also positioning itself to become one of the industry's biggest competitors. My broader takeaway is that investors should stop treating every neocloud as though it has the same balance sheet, customer quality and access to capital because $NBIS, $IREN, $CRWV and $CIFR represent four very different approaches to financing the same enormous infrastructure opportunity. None is immune to a prolonged credit squeeze, but I think the companies that can consistently demonstrate strong customer commitments, attractive project economics and access to financing will be in a much better position to survive consolidation and potentially emerge with considerably greater market share. In other words, I don't think the biggest question is whether the neocloud industry survives, but rather which companies emerge as the dominant operators once the weaker participants can no longer afford to compete.

WHY $VST MIGHT BE THE BEST OPPORTUNITY IN THE ENTIRE ENERGY SECTOR Vistra is one of the most overlooked opportunities in the entire energy sector right now because the market appears to be valuing Vistra primarily as a traditional power producer at a time when its business is increasingly becoming one of the most important infrastructure suppliers to the AI economy. What's particularly interesting is the valuation disconnect because Vistra is trading around 14x forward earnings compared to roughly 21x for $CEG despite both companies owning substantial nuclear generation assets and securing long term agreements with some of the largest hyperscalers in the world. I think the difference comes down to how investors perceive the quality of their earnings because Constellation receives a premium for its nuclear exposure, while Vistra continues trading at a discount because a meaningful portion of its profitability remains tied to wholesale electricity prices, particularly in Texas. However, what I believe the market is overlooking is that Vistra's earnings mix is gradually shifting toward long term contracted revenue from some of the most financially capable customers in the world, and every additional agreement potentially reduces the uncertainty that investors have historically associated with its business. That's why I think the current valuation is becoming increasingly difficult to ignore, especially when the company is securing the kind of AI infrastructure exposure that investors have been willing to pay considerably higher multiples for elsewhere. What makes the opportunity particularly compelling is that the hyperscaler demand is no longer theoretical because Vistra has already secured approximately 3.8 GW of nuclear capacity commitments through 20 year agreements with $META and $AMZN. Meta alone has contracted more than 2,600 MW across Vistra's nuclear facilities in Pennsylvania and Ohio, while Amazon has secured another 1,200 MW from Comanche Peak in Texas, with deliveries expected to begin in the fourth quarter of 2027 and gradually ramp through 2032. These agreements are especially important when you consider that hyperscalers are increasingly competing for access to reliable electricity rather than simply competing for GPUs, with Amazon recently discussing how much of its future compute capacity is already committed and Nvidia continuing to highlight electricity as one of the biggest constraints on AI infrastructure expansion. Meanwhile, the Department of Energy recently announced a conditional loan commitment of up to $4.2B to support upgrades and modernization across three Vistra nuclear facilities, which could add another 433 MW of generation capacity while supporting an additional 20 years of operation beyond their existing licenses. I think that's an incredibly important development because Vistra isn't simply benefiting from higher electricity demand today, but is extending the economic life and productive capacity of assets that would be extraordinarily expensive and time consuming to replace, while securing customers willing to commit to purchasing that power for decades. The other reason I think $VST deserves considerably more attention is that its opportunity extends beyond nuclear because the company owns something the AI infrastructure market increasingly needs, which is a combination of reliable baseload generation and flexible natural gas capacity. Nuclear provides the around the clock, carbon free electricity that hyperscalers want to secure through long term agreements, while natural gas offers dispatchable generation that can help support rapidly growing electricity demand as utilities struggle to expand transmission networks and connect new data centers. Vistra already added approximately 2,600 MW of natural gas capacity through its Lotus acquisition, and its pending acquisition of Cogentrix would bring another 5,500 MW of generation capacity across several important power markets, potentially creating another meaningful source of earnings growth beginning in 2027. In other words, I see a business that increasingly combines the characteristics of a traditional utility with the growth opportunities of an AI infrastructure supplier, yet the market continues valuing much of it through the lens of a cyclical power producer. I'll also be watching whether Vistra can secure additional long term contracts for its remaining nuclear capacity, particularly at facilities like Beaver Valley, because every new agreement could potentially move its earnings profile closer to the type of business the market awards a premium valuation. Ultimately, I think Vistra has one of the more attractive risk/reward setups in energy because investors are getting meaningful exposure to nuclear power, natural gas, hyperscaler demand and infrastructure development at a valuation that doesn't appear to fully reflect how different this business could look over the next several years. If management executes on those opportunities while keeping leverage under control, I think there's a credible argument that Vistra could become one of the biggest beneficiaries of the AI power bottleneck, with substantial upside coming from both earnings growth and a potential valuation revaluation.