
Shay Boloor
@StockSavvyShay • 415,548 subscribers
Chief Market Strategist @FuturumEquities | Regular on @Reuters, @YahooFinance, @Bloomberg, @FoxBusiness, @SchwabNetwork & @Forbes | NIA
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$AVGO has locked in some of the most important AI infrastructure customers on Earth across the next several years: • $GOOGL long-term deal to design and supply future TPU generations plus AI-rack networking through 2031 • $META initial MTIA commitment above 1GW with a multi-gigawatt roadmap through 2029 • Anthropic ~3.5GW of next-gen TPU-based compute starting 2027 (on top of ~1GW live in 2026) Clear validation that custom silicon and networking will be massive layers of the AI economy.
Shay Boloor188,604 次观看 • 2 天前

$NVDA CEO Jensen Huang saying $MRVL can become “the next trillion-dollar company” doesn’t sound crazy when you realize it sits directly inside one of the biggest bottlenecks of the AI buildout: networking. Marvell is trying to become the connective tissue of the AI factory with exposure to custom ASICs, optics, switching, photonics and data movement layer every large-scale AI system needs.
Shay Boloor363,258 次观看 • 4 天前

I still own $IREN because I think the market is underestimating both the $NVDA alignment and how hard its power footprint is to replicate. If the company can turn ~5 GW of secured power into Nvidia-aligned AI cloud capacity then the market may start valuing the 10x gap between its power base and near-term AI cloud needs.
Shay Boloor1,293,472 次观看 • 18 天前

$IREN owns and develops large-scale, power-dense data center campuses in energy-rich regions for AI cloud, GPU clusters and build-to-suit data centers. Today’s 800MW Australia announcement reinforces the thesis that IREN can turn massive power capacity into AI infrastructure revenue faster than the market expected.
Shay Boloor160,074 次观看 • 3 天前

$TE wants to rebuild more of the U.S. clean energy supply chain onshore by starting with solar module manufacturing and expanding into battery storage through the $32M KORE Power acquisition. T1 Energy is trying to position itself as a U.S.-based energy infrastructure supplier across both solar and storage.
Shay Boloor124,124 次观看 • 2 天前

Jim Cramer on Leopold Aschenbrenner’s $NBIS stake “When this man touches something, it turns to gold.” The next AI bottleneck is efficient inference at scale which is why Nebius Token Factory is built around optimization, orchestration and agentic deployment rather than basic GPU rental.
Shay Boloor284,364 次观看 • 6 天前

$ORCL founder Larry Ellison says next phase of AI will come from combining public models with proprietary enterprise data. These 5 names own some of the deepest proprietary data moats for that transition: 1. $PLTR sits inside some of most sensitive enterprise & government datasets in the world operationalizing AI across classified defense data, regulated healthcare data & Fortune 500 workflows that public models will never train on. 2. $META owns the world’s largest proprietary social graph with 3.5B+ daily active users generating text, image, video & voice data at a scale no competitor can replicate. 3. $GOOGL owns one of deepest consumer data stacks in world with 8.5B+ daily Search queries, 2.7B+ YouTube monthly users, 2B+ Maps users, 1.8B+ Gmail users & 3B+ Android devices feeding Gemini with proprietary data competitors cannot replicate. 4. $RDDT owns one of largest archives of human conversation, opinion & consumer behavior online with 20+ years of proprietary discussion data now being licensed to frontier labs like OpenAI with data licensing revenue could reach $400M+ annually by 2027. 5. $TEM owns one of largest clinical-grade oncology datasets in the world with 45M+ de-identified patient records across genomics, imaging & clinical data that healthcare AI structurally needs.
Shay Boloor251,649 次观看 • 7 天前

Why did Leopold Aschenbrenner’s fund initiate a new ~$44M position in $TE last quarter? T1 Energy is trying to become a scaled U.S. solar manufacturing platform and already has a 5 GW solar module facility in Dallas called G1 but the bigger opportunity is its planned solar cell facility in Austin called G2. If G2 comes online then T1 could move into domestic cell production right as AI data centers, reshoring and grid demand are pulling on U.S. power supply.
Shay Boloor728,365 次观看 • 19 天前

$PLTR CEO Alex Karp said Palantir’s “secret to sales” is hoping customers LLM companies first and realize “they don’t care about you at all.” Frontier AI Models solve real problems but create even bigger ones while Palantir gives customers the ontology layer to solve those problems and “own the means of production.”
Shay Boloor57,036 次观看 • 1 天前

$AVGO helps hyperscalers build the custom chips and networking fabric needed to run massive AI systems. If $GOOGL, $META, OpenAI or Anthropic want to build their own inference chips then Broadcom is one of the first calls because it has the IP, packaging expertise and networking portfolio required to scale custom AI systems. Thats why Broadcom remains one of the strongest infrastructure positions in the AI economy.
Shay Boloor76,705 次观看 • 2 天前

$IREN CEO said anyone trying to build a 1GW AI factory today likely wouldn't get first compute online until 2030. With agentic AI token demand projected to rise 24x by 2030, the companies that already control land, power, interconnects & operations are sitting on infrastructure that money alone cannot replicate this decade.
Shay Boloor371,606 次观看 • 12 天前

$MU hit a $1T valuation today because the market is waking up to the idea that memory may actually become one of the core infrastructure layers of the AI economy. The catalyst was SK Hynix unveiling iHBM which is a new cooling technology for next-gen HBM but the bigger point is that token growth, AI factories, inference demand & next-gen accelerators all require more HBM per system. More HBM per accelerator means more memory dollar content & with only three major HBM suppliers in the world the entire memory complex is getting re-rated.
Shay Boloor306,107 次观看 • 11 天前

$IREN CEO said company has spent eight years assembling the inputs for AI infrastructure, including 5GW of secured power & land across three continents. He believes neocloud growth should be higher than ~60% CAGR but the industry simply cannot build fast enough to meet demand.
Shay Boloor442,608 次观看 • 16 天前

$NVTS makes power semiconductors that help AI servers move electricity more efficiently down to the chips running the workloads If AI racks keep scaling to higher power levels then Navitas sits in picks-and-shovels layer of AI factory where power delivery becomes the bottleneck
Shay Boloor79,900 次观看 • 3 天前