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Forrest Li on $SE's path to a $1T valuation hinges on transforming into an AI-centric organization, but the takeaway here is operating leverage rather than just hype. By automating ~80% of customer service inquiries and accelerating game asset production, $SE is targeting tangible margin expansion and a defensive logistics... show more

CapexAndChill

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14,593 просмотров • 6 месяцев назад •via X (Twitter)

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Strategy is proud to announce a strategic partnership with marking an important milestone in their AI journey. Strategy makes AI reliable on enterprise data, and is committed to helping organizations transform data into actionable insights and make faster, more informed decisions. Through this collaboration, we are enabling to further leverage data as a strategic asset across their organization, powered by Strategy Mosaic, our Universal Semantic Layer that gives AI the business context it needs to produce consistent, governed results. This partnership aligns with long-term vision of embedding AI and data-driven decision-making into every aspect of their business. By enhancing their analytical capabilities with Strategy, we are helping to build a stronger foundation for innovation, operational excellence, and customer value. As continues its AI-first journey, Strategy is proud to play a role in supporting their growth and shaping the future of their organization. #AI #SemanticLayer #InsuranceTech #StrategyMosaic

Strategy is proud to announce a strategic partnership with marking an important milestone in their AI journey. Strategy makes AI reliable on enterprise data, and is committed to helping organizations transform data into actionable insights and make faster, more informed decisions. Through this collaboration, we are enabling to further leverage data as a strategic asset across their organization, powered by Strategy Mosaic, our Universal Semantic Layer that gives AI the business context it needs to produce consistent, governed results. This partnership aligns with long-term vision of embedding AI and data-driven decision-making into every aspect of their business. By enhancing their analytical capabilities with Strategy, we are helping to build a stronger foundation for innovation, operational excellence, and customer value. As continues its AI-first journey, Strategy is proud to play a role in supporting their growth and shaping the future of their organization. #AI #SemanticLayer #InsuranceTech #StrategyMosaic

Strategy

55,060 просмотров • 1 месяц назад

$APP's pivot to e-commerce is a very intriguing strategy. The market perceives the entry of non-gaming advertisers as a potential friction point that could crowd out core gaming clients or inflate pricing, but this ignores the massive asymmetry between AppLovin’s reach of over one billion daily active users and its historically thin roster of active advertisers. This imbalance has meant that the vast amount of inventory were previously under-monetized, as the algorithm could only serve gaming ads to users who had no intent to install new games. By layering in e-commerce demand, the platform effectively monetizes this wasted inventory, driving up overall yield and floor prices without cannibalizing the high-intent impressions reserved for gaming clients. This creates a margin-accretive dynamic where the same unit of supply generates significantly higher revenue per user solely through better demand matching. This efficiency gain feeds directly into a data-driven moat that becomes increasingly difficult for competitors to replicate. The flywheel is the introduction of transactional e-commerce data that radically improves the Axon AI model's predictive capabilities for all participants. Unlike app install data, which is binary and relatively sparse, e-commerce purchase data provides immediate high-fidelity signals about user intent and purchasing power. As the model ingests this new layer of behavioral data, its ability to predict conversion improves universally, meaning that gaming advertisers actually benefit from the presence of e-commerce bids through sharper targeting and higher return on ad spend. The rapid 50% week over week growth in the self-service pilot is a great preliminary validation that this automated demand engine is functional. This signals that AppLovin can scale this new vertical with software operating leverage. The requirement for high-production video ads has left out the long tail of millions of small business advertisers who dominate platforms like $META. The launch of generative AI creative tools targets this specific bottleneck, commoditizing the production of high-performing video assets and allowing AppLovin to unlock global SMB demand instantly. If successful, this creates a self-reinforcing liquidity cycle where increased advertiser density leads to better data, which drives superior model performance, which in turn attracts more diverse advertisers. This helps decouple the company's growth trajectory from the cyclicality of the mobile gaming market. Really interesting biz and great CEO.

$APP's pivot to e-commerce is a very intriguing strategy. The market perceives the entry of non-gaming advertisers as a potential friction point that could crowd out core gaming clients or inflate pricing, but this ignores the massive asymmetry between AppLovin’s reach of over one billion daily active users and its historically thin roster of active advertisers. This imbalance has meant that the vast amount of inventory were previously under-monetized, as the algorithm could only serve gaming ads to users who had no intent to install new games. By layering in e-commerce demand, the platform effectively monetizes this wasted inventory, driving up overall yield and floor prices without cannibalizing the high-intent impressions reserved for gaming clients. This creates a margin-accretive dynamic where the same unit of supply generates significantly higher revenue per user solely through better demand matching. This efficiency gain feeds directly into a data-driven moat that becomes increasingly difficult for competitors to replicate. The flywheel is the introduction of transactional e-commerce data that radically improves the Axon AI model's predictive capabilities for all participants. Unlike app install data, which is binary and relatively sparse, e-commerce purchase data provides immediate high-fidelity signals about user intent and purchasing power. As the model ingests this new layer of behavioral data, its ability to predict conversion improves universally, meaning that gaming advertisers actually benefit from the presence of e-commerce bids through sharper targeting and higher return on ad spend. The rapid 50% week over week growth in the self-service pilot is a great preliminary validation that this automated demand engine is functional. This signals that AppLovin can scale this new vertical with software operating leverage. The requirement for high-production video ads has left out the long tail of millions of small business advertisers who dominate platforms like $META. The launch of generative AI creative tools targets this specific bottleneck, commoditizing the production of high-performing video assets and allowing AppLovin to unlock global SMB demand instantly. If successful, this creates a self-reinforcing liquidity cycle where increased advertiser density leads to better data, which drives superior model performance, which in turn attracts more diverse advertisers. This helps decouple the company's growth trajectory from the cyclicality of the mobile gaming market. Really interesting biz and great CEO.

CapexAndChill

29,897 просмотров • 6 месяцев назад

$NOW's Financial Analyst Day took place yesterday. A huge focus was on the headline $30 B+ subscription revenue target for 2030, but there is also a margin expansion story as well that management highlighted. The market fears AI inference costs will compress software gross margins. Management focused on dismantling this narrative. AI reasoning represents less than 10% of their cost to serve. The other ~90% is workflow orchestration, governance, and their 20-year CMDB context. They are maintaining 80%+ subscription gross margins while pulling $300 M in annualized agentic AI cost savings straight to their own bottom line for 2026. That self-funded internal efficiency gives them the exact cover needed to commit to 100 basis points of non-GAAP operating and free cash flow margin expansion in 2027. The debate over seat compression versus consumption is looking promising for NOW. ServiceNow has shifted to a hybrid model. Non-seat based pricing already accounts for 50% of their net new ACV. When a customer uses AI to cut a 20 person support team down to five, ServiceNow captures 6.5x more in AI agent consumption. The total spend from that customer actually grows over 5x by year five. This underlying consumption momentum is exactly why management aggressively raised their 2026 AI ACV target from $1 B to $1.5B. They expect AI to drive 30% of total ACV by 2030. They are backing this up with a new go-to-market execution strategy, guaranteeing total satisfaction for AI go-lives in under 100 days. Management is also trying to be more disciplined with capital allocation. They are tackling dilution. They hit their sub-15% stock-based compensation target early in 2025 and just established a hard target of sub-10% by 2029. They doubled their share repurchases with a $2 B accelerated share repurchase in Q1 2026 alone. This move makes them dilution net-neutral for the entirety of 2026. They still have $4.2B in authorization ready. Recent tuck-in acquisitions like Moveworks, Vza, and Armis were heavily scrutinized as buying top-line growth. Management confirmed zero revenue from these hit the last report. They bought them strictly to build out the AI Control Tower and push their TAM to an aggressive $600 B. Overall, the day provided a little more clarity and I appreciated it. Looking more interesting to me. In the clip, Gina addressed seat compression and the margin expansion story.

$NOW's Financial Analyst Day took place yesterday. A huge focus was on the headline $30 B+ subscription revenue target for 2030, but there is also a margin expansion story as well that management highlighted. The market fears AI inference costs will compress software gross margins. Management focused on dismantling this narrative. AI reasoning represents less than 10% of their cost to serve. The other ~90% is workflow orchestration, governance, and their 20-year CMDB context. They are maintaining 80%+ subscription gross margins while pulling $300 M in annualized agentic AI cost savings straight to their own bottom line for 2026. That self-funded internal efficiency gives them the exact cover needed to commit to 100 basis points of non-GAAP operating and free cash flow margin expansion in 2027. The debate over seat compression versus consumption is looking promising for NOW. ServiceNow has shifted to a hybrid model. Non-seat based pricing already accounts for 50% of their net new ACV. When a customer uses AI to cut a 20 person support team down to five, ServiceNow captures 6.5x more in AI agent consumption. The total spend from that customer actually grows over 5x by year five. This underlying consumption momentum is exactly why management aggressively raised their 2026 AI ACV target from $1 B to $1.5B. They expect AI to drive 30% of total ACV by 2030. They are backing this up with a new go-to-market execution strategy, guaranteeing total satisfaction for AI go-lives in under 100 days. Management is also trying to be more disciplined with capital allocation. They are tackling dilution. They hit their sub-15% stock-based compensation target early in 2025 and just established a hard target of sub-10% by 2029. They doubled their share repurchases with a $2 B accelerated share repurchase in Q1 2026 alone. This move makes them dilution net-neutral for the entirety of 2026. They still have $4.2B in authorization ready. Recent tuck-in acquisitions like Moveworks, Vza, and Armis were heavily scrutinized as buying top-line growth. Management confirmed zero revenue from these hit the last report. They bought them strictly to build out the AI Control Tower and push their TAM to an aggressive $600 B. Overall, the day provided a little more clarity and I appreciated it. Looking more interesting to me. In the clip, Gina addressed seat compression and the margin expansion story.

CapexAndChill

20,719 просмотров • 3 месяцев назад

Hohn’s strategy essentially redefines quality as extreme resilience against substitution and competition over a multi-decade timeline. Hohn targets super-companies where physical, non-replicable assets create monopolistic barriers to entry, rendering executive talent largely irrelevant to the underlying cash flows. He deliberately avoids high-growth sectors vulnerable to disruption, viewing terminal value as the greatest source of alpha missed by short-term analysts. For instance, in infrastructure, he targets assets like cell towers, rail lines, and literal toll roads where tenancy ratios allow for near-100% margin expansion on zero-cost additions, and cash flow yields are contractually linked to inflation. In aerospace, his conviction is absolute. TCI's largest holding is $GE Aerospace. Hohn categorizes this as an unbreakable moat because the complexity of building aircraft engines has prevented any new market entrants in over 50 years. The true economic value, however, is not the engine itself, but the captive aftermarket spare parts and servicing ecosystem. Once an airline adopts an engine, the switching costs are effectively insurmountable, guaranteeing decades of highly predictable, high-margin revenue. Hohn’s view on moats is dynamic. He believes even the strongest moats can erode. In a definitive move in early 2026, TCI slashed a large portion of its $8B stake in $MSFT, which is a position held for nearly a decade. Hohn explicitly cited that the rapid advancement of Generative AI posed an existential risk to Microsoft's core Office and Azure moats, proving that he will mercilessly abandon a historically 'high quality' asset the moment technological disruption threatens its terminal value.

Hohn’s strategy essentially redefines quality as extreme resilience against substitution and competition over a multi-decade timeline. Hohn targets super-companies where physical, non-replicable assets create monopolistic barriers to entry, rendering executive talent largely irrelevant to the underlying cash flows. He deliberately avoids high-growth sectors vulnerable to disruption, viewing terminal value as the greatest source of alpha missed by short-term analysts. For instance, in infrastructure, he targets assets like cell towers, rail lines, and literal toll roads where tenancy ratios allow for near-100% margin expansion on zero-cost additions, and cash flow yields are contractually linked to inflation. In aerospace, his conviction is absolute. TCI's largest holding is $GE Aerospace. Hohn categorizes this as an unbreakable moat because the complexity of building aircraft engines has prevented any new market entrants in over 50 years. The true economic value, however, is not the engine itself, but the captive aftermarket spare parts and servicing ecosystem. Once an airline adopts an engine, the switching costs are effectively insurmountable, guaranteeing decades of highly predictable, high-margin revenue. Hohn’s view on moats is dynamic. He believes even the strongest moats can erode. In a definitive move in early 2026, TCI slashed a large portion of its $8B stake in $MSFT, which is a position held for nearly a decade. Hohn explicitly cited that the rapid advancement of Generative AI posed an existential risk to Microsoft's core Office and Azure moats, proving that he will mercilessly abandon a historically 'high quality' asset the moment technological disruption threatens its terminal value.

CapexAndChill

27,269 просмотров • 3 месяцев назад

$PLTR this analyst gets it: - Palantir is the AI Operating System - Palantir provides the environment and context layer (ontology + security model) for enterprises to deploy AI models and agents - This is a structural growth opportunity - The ROI for enterprises to deploy AI and use Palantir’s service will become increasingly attractive - (Regarding living up to today’s PE) Revenue growth and margin is unique. “You’ve never seen that type of growth and margin previously for any other companies. Enterprise is a huge market. AI is really shifting from consumer to the enterprise world. Enterprise offers a larger TAM. This is early stage for enterprise to use AI. The TAM could be trillion $$ level…. The path towards that will never be easy, it will be uneven. If you have that long term view, you will still be long term bullish on the company.” - Enterprise opportunities across the world will totally change the business of Palantir in the coming decades I don’t think he’s bullish enough on government based on what we see coming from Gokarp and DV, but at least he acknowledges the importance of the government sector to the company.

$PLTR this analyst gets it: - Palantir is the AI Operating System - Palantir provides the environment and context layer (ontology + security model) for enterprises to deploy AI models and agents - This is a structural growth opportunity - The ROI for enterprises to deploy AI and use Palantir’s service will become increasingly attractive - (Regarding living up to today’s PE) Revenue growth and margin is unique. “You’ve never seen that type of growth and margin previously for any other companies. Enterprise is a huge market. AI is really shifting from consumer to the enterprise world. Enterprise offers a larger TAM. This is early stage for enterprise to use AI. The TAM could be trillion $$ level…. The path towards that will never be easy, it will be uneven. If you have that long term view, you will still be long term bullish on the company.” - Enterprise opportunities across the world will totally change the business of Palantir in the coming decades I don’t think he’s bullish enough on government based on what we see coming from Gokarp and DV, but at least he acknowledges the importance of the government sector to the company.

Jack Prescott

112,551 просмотров • 1 год назад

$APP's strategy in the streaming market is to turn the TV into a direct performance engine. Traditional television relies on broad brand awareness but free streaming is shifting toward measurable outcomes. AppLovin is using Wurl to connect television inventory directly to its massive base of mobile and ecommerce advertisers. Their predictive algorithm matches these performance driven advertisements to specific viewers based on precise data rather than basic demographics. This solves the industry bottleneck and creates a powerful cycle where better targeting drives higher ad revenue which then funds better content and attracts more viewers.

CapexAndChill

18,578 просмотров • 6 месяцев назад

Ackman on attempting to predict the markets in the short-term: "It's a fool's errand to predict what the stock market's going to do in the short term." Ackman on the market's current multiple: "People say, 'Oh, it's overvalued,' but I would argue that the business mix... is a very different business mix than it was 30 years ago. They're deserving of much higher valuations." Bill acknowledged $MSFT and $AMZN are both trading at very attractive multiples. He even gave a shout-out to $NVDA 👀 when mentioning the index's composition is now dominated by high-margin, high-growth technology companies that deserve higher premiums than the legacy industrial mix of 30 years ago.

Ackman on attempting to predict the markets in the short-term: "It's a fool's errand to predict what the stock market's going to do in the short term." Ackman on the market's current multiple: "People say, 'Oh, it's overvalued,' but I would argue that the business mix... is a very different business mix than it was 30 years ago. They're deserving of much higher valuations." Bill acknowledged $MSFT and $AMZN are both trading at very attractive multiples. He even gave a shout-out to $NVDA 👀 when mentioning the index's composition is now dominated by high-margin, high-growth technology companies that deserve higher premiums than the legacy industrial mix of 30 years ago.

CapexAndChill

50,399 просмотров • 1 месяц назад

Sekur Private Data (OTCQB: $SWISF | CSE: $SKUR | FRA: $GDT0) has signed a partnership agreement with AdRevv, an AI-powered customer acquisition platform focused on users actively searching for privacy, VPN, secure email, secure messaging, and secure voice solutions. The partnership is structured as a revenue-sharing agreement, aligning customer acquisition costs directly with sales performance. The program is expected to launch in July 2026 and will leverage AI-driven targeting and up to 1 million retargeting emails per month to reach users already demonstrating interest in privacy-focused communications solutions. For Sekur, this represents another step in expanding scalable customer acquisition channels while maintaining focus on recurring revenue growth. As product development, government initiatives, and distribution channels continue to advance, customer acquisition remains a key component of long-term growth. Read the full article: Contact with us: investors@sekur.com

Sekur Private Data (OTCQB: $SWISF | CSE: $SKUR | FRA: $GDT0) has signed a partnership agreement with AdRevv, an AI-powered customer acquisition platform focused on users actively searching for privacy, VPN, secure email, secure messaging, and secure voice solutions. The partnership is structured as a revenue-sharing agreement, aligning customer acquisition costs directly with sales performance. The program is expected to launch in July 2026 and will leverage AI-driven targeting and up to 1 million retargeting emails per month to reach users already demonstrating interest in privacy-focused communications solutions. For Sekur, this represents another step in expanding scalable customer acquisition channels while maintaining focus on recurring revenue growth. As product development, government initiatives, and distribution channels continue to advance, customer acquisition remains a key component of long-term growth. Read the full article: Contact with us: [email protected]

Sekur Private

58,201 просмотров • 2 месяцев назад

David Gardner purchased Amazon stock in the late 90's for pennies (split-adjusted) and continued to hold after a 90% drawdown. His edge is his 6-pillar "Rule Breaker" selection framework: - Dominating an important, emerging industry. - Possessing a structural, long-term moat. - Buying momentum rather than bargains. - Placing a heavy emphasis on elite human capital. - Finding companies with cult-like product love and raving fans. - Actively targeting stocks that are mocked or called "grossly overvalued" by traditional Wall Street media. This qualitative approach exploits a major market inefficiency: "Most of the things that win in business are not actually on the financial statements... Who's running the company? That is incredibly important. How about the brand value of a company? Most of those are never expressed anywhere in the financial statements. The culture of the company, can it innovate? ...And we're living in a left-brain driven algorithmic world." $AMZN

CapexAndChill

22,917 просмотров • 24 дней назад

Legendary Investor Seth Klarman notes that buying something just because it is cheap at a five-year low often just means you will ride it down to a ten-year low. Instead, Baupost underwrites the "expected go-forward return" and demands a specific catalyst. If the team cannot articulate exactly what will drive the success of the investment and unlock its value within one to two years, they pass. Seems like common sense, but this is one of the biggest traps investors fall into. Valuation always matters but you are far better off buying businesses that exceed expectations for the long-term.

Legendary Investor Seth Klarman notes that buying something just because it is cheap at a five-year low often just means you will ride it down to a ten-year low. Instead, Baupost underwrites the "expected go-forward return" and demands a specific catalyst. If the team cannot articulate exactly what will drive the success of the investment and unlock its value within one to two years, they pass. Seems like common sense, but this is one of the biggest traps investors fall into. Valuation always matters but you are far better off buying businesses that exceed expectations for the long-term.

CapexAndChill

88,496 просмотров • 1 месяц назад

"The intention is to utilize about 30% of the cash flow to leverage buying Bitcoin and provide like 70% excess for buying additional businesses or unleveraged buying Bitcoin" Nico Lechuga on how Orange Juice splits cash flow "You want a moderate degree of leverage on the cash flow of the business. You run this optionality anytime you're buying businesses, so you have the option of buying additional businesses with the cash flow that you have from the businesses there" "Or you have the optionality of providing a bit of leverage and buying Bitcoin with it" "You want to have the leverage ratio of the entire business be extremely, extremely healthy, so that in all economic environments you're not becoming impaired"

"The intention is to utilize about 30% of the cash flow to leverage buying Bitcoin and provide like 70% excess for buying additional businesses or unleveraged buying Bitcoin" Nico Lechuga on how Orange Juice splits cash flow "You want a moderate degree of leverage on the cash flow of the business. You run this optionality anytime you're buying businesses, so you have the option of buying additional businesses with the cash flow that you have from the businesses there" "Or you have the optionality of providing a bit of leverage and buying Bitcoin with it" "You want to have the leverage ratio of the entire business be extremely, extremely healthy, so that in all economic environments you're not becoming impaired"

The Wolf Of All Streets

29,677 просмотров • 1 месяц назад

AOC: Trump has been saying the economy is booming, but it’s really only seven tech companies. They’re driving this growth in just one sector: AI. So the entire economic growth can be tracked down to seven companies and their AI expansion. Forty percent of economic growth is attributed to these companies alone, and 80% of stock gains this year came from AI companies. People are justifying these levels of investment because of the promises CEOs make — that there will be a return on that investment. For a company like OpenAI, their valuation is based on the expectation that they’re going to figure out how to make a profit off this, and they haven’t. Generating this increased human dependency that can be mined — people’s deepest fears, emotional content — can all be mined for this empty promise that we’re getting from these companies in the pursuit of profit. The reason I bring all of this up is that the exposure to this industry and this investment, I fear, has reached broad levels of the American economy. We’re talking about 40% of growth being attributed to that sector alone, and it has not turned a profit. We’re talking about a massive economic bubble. Depending on the exposure of that bubble, we could be facing 2008-style threats to economic stability.

AOC: Trump has been saying the economy is booming, but it’s really only seven tech companies. They’re driving this growth in just one sector: AI. So the entire economic growth can be tracked down to seven companies and their AI expansion. Forty percent of economic growth is attributed to these companies alone, and 80% of stock gains this year came from AI companies. People are justifying these levels of investment because of the promises CEOs make — that there will be a return on that investment. For a company like OpenAI, their valuation is based on the expectation that they’re going to figure out how to make a profit off this, and they haven’t. Generating this increased human dependency that can be mined — people’s deepest fears, emotional content — can all be mined for this empty promise that we’re getting from these companies in the pursuit of profit. The reason I bring all of this up is that the exposure to this industry and this investment, I fear, has reached broad levels of the American economy. We’re talking about 40% of growth being attributed to that sector alone, and it has not turned a profit. We’re talking about a massive economic bubble. Depending on the exposure of that bubble, we could be facing 2008-style threats to economic stability.

Acyn

1,057,844 просмотров • 9 месяцев назад

Ackamn noted that the market is heavily distracted by momentum and hype specifically regarding semiconductor/memory chips and new IPOs. This obsession drains attention and capital away from massive, highly profitable tech incumbents. Ackman named $META and $MSFT, noting that the market currently treats them as old-fashioned companies. This lack of excitement makes fundamentally dominant mega-caps "very cheap" on a relative basis compared to overvalued, hype-driven sectors. Even $NVDA has recently become a lot cheaper on a price to growth basis as the market continues to follow momentum.

Ackamn noted that the market is heavily distracted by momentum and hype specifically regarding semiconductor/memory chips and new IPOs. This obsession drains attention and capital away from massive, highly profitable tech incumbents. Ackman named $META and $MSFT, noting that the market currently treats them as old-fashioned companies. This lack of excitement makes fundamentally dominant mega-caps "very cheap" on a relative basis compared to overvalued, hype-driven sectors. Even $NVDA has recently become a lot cheaper on a price to growth basis as the market continues to follow momentum.

CapexAndChill

164,164 просмотров • 2 месяцев назад

$GLW Corning: The AI Optical Infrastructure Springboard Strategy. Investment Thesis. New: 6/29/26. Corning has repositioned a traditional materials manufacturer into a critical supplier at the physical layer of AI infrastructure — a transition that leverages decades of fiber optics and photonics expertise into a market where that expertise is now mission-critical rather than commoditized. High-density fiber and advanced photonics are the connectivity backbone that AI data centers require as networking bottlenecks become increasingly binding constraints on cluster performance, and Corning's manufacturing scale and materials science depth position it as one of the few suppliers capable of meeting that demand at the volumes hyperscalers require. The NVIDIA and Meta partnerships are significant validation points. Both represent demanding customers whose technical requirements and qualification standards are rigorous, and their direct engagement with Corning signals that the company's optical infrastructure capabilities are viewed as strategically necessary rather than substitutable. That kind of direct hyperscaler relationship is difficult for competitors to displace once established, given the integration depth required in data center network architecture planning. The Springboard strategy is the financial framework converting the AI infrastructure opportunity into demonstrated margin improvement. Operating margin expansion that has already materialized provides credibility to the more aggressive 2030 revenue growth targets — this is not a purely forward-looking narrative but one with a track record of execution behind it. That said, the distance between current results and the 2030 targets is substantial, and the growth trajectory assumes continued AI infrastructure capital spending at a pace that has historically been difficult to sustain without periodic digestion phases. Capital intensity is the structural constraint on returns during the buildout phase. Scaling fiber and photonics manufacturing capacity to meet AI-driven demand requires sustained capital deployment, and the return on that investment depends on demand durability matching the capacity being built. Customer concentration compounds that risk — significant revenue exposure to a small number of hyperscaler relationships means that any shift in AI infrastructure capital spending plans at a major customer would disproportionately affect Corning's growth trajectory relative to a more diversified customer base. The Solar business is a complicating factor that sits somewhat apart from the core AI optical infrastructure narrative. Scaling that segment successfully requires different operational capabilities and serves a different demand driver, and management attention split across a capital-intensive solar scale-up alongside the AI infrastructure buildout introduces execution complexity that pure-play AI infrastructure companies don't carry. The valuation reflects multiple years of anticipated growth, which means the premium is justified only if execution stays on pace with the Springboard targets and AI infrastructure capital spending remains robust through the multi-year buildout period the thesis depends on. Corning's market position is genuinely dominant in its core optical infrastructure niche — the question is whether that dominance, expressed through a still-developing financial trajectory, supports a price that has already captured much of the anticipated upside.

$GLW Corning: The AI Optical Infrastructure Springboard Strategy. Investment Thesis. New: 6/29/26. Corning has repositioned a traditional materials manufacturer into a critical supplier at the physical layer of AI infrastructure — a transition that leverages decades of fiber optics and photonics expertise into a market where that expertise is now mission-critical rather than commoditized. High-density fiber and advanced photonics are the connectivity backbone that AI data centers require as networking bottlenecks become increasingly binding constraints on cluster performance, and Corning's manufacturing scale and materials science depth position it as one of the few suppliers capable of meeting that demand at the volumes hyperscalers require. The NVIDIA and Meta partnerships are significant validation points. Both represent demanding customers whose technical requirements and qualification standards are rigorous, and their direct engagement with Corning signals that the company's optical infrastructure capabilities are viewed as strategically necessary rather than substitutable. That kind of direct hyperscaler relationship is difficult for competitors to displace once established, given the integration depth required in data center network architecture planning. The Springboard strategy is the financial framework converting the AI infrastructure opportunity into demonstrated margin improvement. Operating margin expansion that has already materialized provides credibility to the more aggressive 2030 revenue growth targets — this is not a purely forward-looking narrative but one with a track record of execution behind it. That said, the distance between current results and the 2030 targets is substantial, and the growth trajectory assumes continued AI infrastructure capital spending at a pace that has historically been difficult to sustain without periodic digestion phases. Capital intensity is the structural constraint on returns during the buildout phase. Scaling fiber and photonics manufacturing capacity to meet AI-driven demand requires sustained capital deployment, and the return on that investment depends on demand durability matching the capacity being built. Customer concentration compounds that risk — significant revenue exposure to a small number of hyperscaler relationships means that any shift in AI infrastructure capital spending plans at a major customer would disproportionately affect Corning's growth trajectory relative to a more diversified customer base. The Solar business is a complicating factor that sits somewhat apart from the core AI optical infrastructure narrative. Scaling that segment successfully requires different operational capabilities and serves a different demand driver, and management attention split across a capital-intensive solar scale-up alongside the AI infrastructure buildout introduces execution complexity that pure-play AI infrastructure companies don't carry. The valuation reflects multiple years of anticipated growth, which means the premium is justified only if execution stays on pace with the Springboard targets and AI infrastructure capital spending remains robust through the multi-year buildout period the thesis depends on. Corning's market position is genuinely dominant in its core optical infrastructure niche — the question is whether that dominance, expressed through a still-developing financial trajectory, supports a price that has already captured much of the anticipated upside.

TheValueist

16,739 просмотров • 1 месяц назад

Most people use debt to get poor. They buy a house, build equity over decades, and stop there. The wealth is locked in a primary residence, doing nothing. The ones who get rich do something different. They take that same principle, the same velocity, and apply it to an asset that produces cash flow. A rental property. A business. Something that generates income while the debt pays itself down. The bank already knows this. Every loan they write is backed by collateral. They are not lending against your income. They are lending against the asset. And if you default, they take the asset and recover the debt. That is the whole game. Find an asset a lender would take back. Acquire it. Let the cash flow service the debt. Own it free and clear on the other side. Good debt makes you richer. Most people just never learned the difference.

Most people use debt to get poor. They buy a house, build equity over decades, and stop there. The wealth is locked in a primary residence, doing nothing. The ones who get rich do something different. They take that same principle, the same velocity, and apply it to an asset that produces cash flow. A rental property. A business. Something that generates income while the debt pays itself down. The bank already knows this. Every loan they write is backed by collateral. They are not lending against your income. They are lending against the asset. And if you default, they take the asset and recover the debt. That is the whole game. Find an asset a lender would take back. Acquire it. Let the cash flow service the debt. Own it free and clear on the other side. Good debt makes you richer. Most people just never learned the difference.

Ken McElroy

44,838 просмотров • 1 месяц назад

Chief AI Officer Alex Wang is subtly confirming that $META's previous AI paradigm failed, and they are executing a strategic shift to close their ecosystem, capture personal data, and build a regulatory moat. For the last few years, Meta’s entire strategy was to open-source frontier-level models like Llama 2 and 3 to commoditize the foundational layer. Now that Meta is building highly lucrative Personal Agents, they are keeping their best tech proprietary.

Chief AI Officer Alex Wang is subtly confirming that $META's previous AI paradigm failed, and they are executing a strategic shift to close their ecosystem, capture personal data, and build a regulatory moat. For the last few years, Meta’s entire strategy was to open-source frontier-level models like Llama 2 and 3 to commoditize the foundational layer. Now that Meta is building highly lucrative Personal Agents, they are keeping their best tech proprietary.

CapexAndChill

279,496 просмотров • 2 месяцев назад

UP is no longer just a populous state—it is fast becoming Bharat's next economic powerhouse. Tata Group is set to more than double its presence in the state, a clear vote of confidence in governance & growth model under CM .Yogi Adityanath Ji. Chairman N. Chandrasekaran underscored how strong infrastructure, policy stability, and a pro-investment environment are turning UP into a magnet for industry and global manufacturing. From scaling up production at Tata Motors to doubling the workforce at Tata Consultancy Services to 40,000 professionals, the expansion signals massive job creation and economic momentum. With rapid industrialisation, emerging tech hubs, and export potential, Uttar Pradesh is positioning itself as a key driver of Bharat's growth story—and the results are now visible on the ground.

UP is no longer just a populous state—it is fast becoming Bharat's next economic powerhouse. Tata Group is set to more than double its presence in the state, a clear vote of confidence in governance & growth model under CM .Yogi Adityanath Ji. Chairman N. Chandrasekaran underscored how strong infrastructure, policy stability, and a pro-investment environment are turning UP into a magnet for industry and global manufacturing. From scaling up production at Tata Motors to doubling the workforce at Tata Consultancy Services to 40,000 professionals, the expansion signals massive job creation and economic momentum. With rapid industrialisation, emerging tech hubs, and export potential, Uttar Pradesh is positioning itself as a key driver of Bharat's growth story—and the results are now visible on the ground.

BhikuMhatre

12,354 просмотров • 4 месяцев назад

One of the main points retail investors miss can be summed up by this clip of Berkshire's Greg Abel. Berkshire Hathaway builds its stock-picking philosophy around long-term survival rather than quick profits. When evaluating a company, they ignore standard discussions about immediate financial gains. Instead, they look closely at terminal risk to identify exactly what could destroy the business. They apply a strict ten-year rule to measure this risk. They must be able to clearly picture the company's economic health a full decade into the future. If that future is uncertain, they conclude the investment has no margin of safety and they pass on it entirely. To find the best investments, they focus directly on the single biggest threat facing the company, just as they focused only on the threat of rooftop solar when evaluating NV Energy. A business must prove it can survive its worst operational threat to earn their investment. $BRK.A $BRK.B

One of the main points retail investors miss can be summed up by this clip of Berkshire's Greg Abel. Berkshire Hathaway builds its stock-picking philosophy around long-term survival rather than quick profits. When evaluating a company, they ignore standard discussions about immediate financial gains. Instead, they look closely at terminal risk to identify exactly what could destroy the business. They apply a strict ten-year rule to measure this risk. They must be able to clearly picture the company's economic health a full decade into the future. If that future is uncertain, they conclude the investment has no margin of safety and they pass on it entirely. To find the best investments, they focus directly on the single biggest threat facing the company, just as they focused only on the threat of rooftop solar when evaluating NV Energy. A business must prove it can survive its worst operational threat to earn their investment. $BRK.A $BRK.B

CapexAndChill

74,220 просмотров • 3 месяцев назад

Fareed Zakaria and I have long been on the same page when it comes to China and its approach to the chaos that is American economic and foreign policy. What China has done as a superpower is evolve to beat America at its own game. It’s able to do that because it has no shareholder class, but more importantly, it has built the economic and technological framework to play the long game against an adversary wired for short term gains. Short term is not how China operates, it has 10 and 25 year plans and it has spent decades preparing for this moment when the world sees the US as an unreliable transnational extortion gang. The U.S. has long been doing China’s work for them with numerous self inflicted wounds from poor economic and foreign policy to outright predatory behaviour. They have just bided their time waiting for Trump to set himself on fire after he realised that he could not crush the Chinese economy with his failed tariff strategy. This clip is well worth 5 minutes of your time if you want to better understand where the world is heading. TikTok -

Fareed Zakaria and I have long been on the same page when it comes to China and its approach to the chaos that is American economic and foreign policy. What China has done as a superpower is evolve to beat America at its own game. It’s able to do that because it has no shareholder class, but more importantly, it has built the economic and technological framework to play the long game against an adversary wired for short term gains. Short term is not how China operates, it has 10 and 25 year plans and it has spent decades preparing for this moment when the world sees the US as an unreliable transnational extortion gang. The U.S. has long been doing China’s work for them with numerous self inflicted wounds from poor economic and foreign policy to outright predatory behaviour. They have just bided their time waiting for Trump to set himself on fire after he realised that he could not crush the Chinese economy with his failed tariff strategy. This clip is well worth 5 minutes of your time if you want to better understand where the world is heading. TikTok -

𝔗𝔯𝔲𝔱𝔥 𝔐𝔞𝔱𝔱𝔢𝔯𝔰

36,343 просмотров • 3 месяцев назад

"There's an incredible amount of leverage that's been taken out without cash flow able to service the debt" Nico Lechuga on why cash flow is what makes Bitcoin leverage survivable "Everybody has their own take on this, and we'll see what happens within the market. But if you're taking on any type of leverage, any type of debt, think about our own personal lives. If you buy a car, you buy a house and you're mortgaging that, you're taking out an interest loan, generally there's some degree of credit institution checking you to make sure that you have the cash flow to service the debt you've taken out" "When we're building businesses we think of risk vectors, and how those risk vectors potentially impact the business's chance of success. If you've introduced a risk vector, in this case leverage taken out against the business without having cash flow able to service it, then you can impair your business. This is designed by having uncorrelated businesses with good margins, sustainable cash flows. If you're taking out even a degree of leverage to buy Bitcoin, the only time you would ever do that is after you have the businesses and you have the cash flow" "Even if Bitcoin's price goes down, we see a drop from 126 to where we're at 65, 66 today, it doesn't matter, because you have the cash flow to service the debt. In the same way, when you buy a car and drive it off the lot, if you're paying with financing and the value drops 50% the day you drive it off the lot, you have a job and you can service that, so you're not impaired"

"There's an incredible amount of leverage that's been taken out without cash flow able to service the debt" Nico Lechuga on why cash flow is what makes Bitcoin leverage survivable "Everybody has their own take on this, and we'll see what happens within the market. But if you're taking on any type of leverage, any type of debt, think about our own personal lives. If you buy a car, you buy a house and you're mortgaging that, you're taking out an interest loan, generally there's some degree of credit institution checking you to make sure that you have the cash flow to service the debt you've taken out" "When we're building businesses we think of risk vectors, and how those risk vectors potentially impact the business's chance of success. If you've introduced a risk vector, in this case leverage taken out against the business without having cash flow able to service it, then you can impair your business. This is designed by having uncorrelated businesses with good margins, sustainable cash flows. If you're taking out even a degree of leverage to buy Bitcoin, the only time you would ever do that is after you have the businesses and you have the cash flow" "Even if Bitcoin's price goes down, we see a drop from 126 to where we're at 65, 66 today, it doesn't matter, because you have the cash flow to service the debt. In the same way, when you buy a car and drive it off the lot, if you're paying with financing and the value drops 50% the day you drive it off the lot, you have a job and you can service that, so you're not impaired"

The Wolf Of All Streets

30,854 просмотров • 1 месяц назад