Flex, memory chips and Lam Research are high-conviction AI plays worth buying on every dip and holding long term, because most major analysts project roughly 25-35% compound annual growth for the AI market over the next decade. x.comÂ
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The infrastructure behind AI chips, rather than the chip designers, is where the opportunity lies, because the generational AI buildout is still in its early innings. Demand for electrification, infrastructure, memory, compute, energy, data centers and advanced chips should keep rising for the next decade, and the market is only starting to see it. Flex is now the largest holding, ahead of Amkor, Photronics, ASE, Fabrinet, Celestica, Onto Innovation and Cohu. x.comÂ
AI spending makes Defiance AI Infrastructure the simplest way to own chips, cooling and power. Roundhill Memory alone holds makers for a shortage expected into 2028. VanEck Semiconductor is the broadest chip fund and a core long-term AI holding. Global X Robotics & AI owns factory and hospital automation sellers now. ARK Autonomous Tech covers autonomy but is the most aggressive, volatile pick. Roundhill Neocloud is the list's only rental fund and most direct way to own AI compute demand. x.com … Show more
Strong AI demand and hyperscaler spending make the selloff a mid-cycle correction despite neocloud financing stress. Widening CCC spreads expose leveraged firms to higher borrowing costs; US competition with China supports AI buildout. The base case is a bottom in roughly 5-7 days, then stabilization and eventually a broader reversal, though some projects may fail and valuations compress. IREN, Cipher, Nebius, Applied Digital, Micron, AMD, ASML and Intel are worth gradually accumulating. x.comÂ
New investors who think they missed the AI run can still build exposure diversified across AI layers, chosen on today's valuations and risk-reward. A suggested split is 20% each in Meta, NVIDIA and Broadcom, and 10% each in a DRAM memory ETF, TSMC, Nebius and Credo: 80% in established leaders and critical bottlenecks, 20% in faster-growing compute and networking names. It spans applications, GPUs, custom silicon, foundries, memory, networking and cloud, and most picks are founder-led. x.com … Show more
AI infrastructure and adjacent companies could compound for years as the boom shifts from initial infrastructure seeding to deployment across industries. The positioning list spans compute, manufacturing, networking, storage, power, software, data centers and supporting sectors, with Bloom Energy added later. Focus on real demand and bottlenecks, size for volatility and select conviction plays; some names are speculative or execution-heavy.
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Rising AI equipment demand could sustain the buildout behind Micron, Nebius, Marvell, Bloom Energy and Applied Optoelectronics. ASML says customers are raising short- and medium-term forecasts, some are interested in orders for 2029 or 2030, and its currently planned 2027-28 supply may not fully meet demand. The dip in these AI stocks might be a buying opportunity. x.comÂ
Dominant AI companies are worth owning through volatility over 6-24 months, giving them time to execute. AMD is gaining accelerator share, Oracle's AI cloud demand is exploding, ServiceNow has a sticky platform with pricing power, Nvidia's demand still exceeds supply, and Microsoft monetizes AI across cloud and software. Arm, Broadcom, IBM, Dell, Datadog, Apple and Qualcomm each ride AI through chip design, networking, enterprise adoption, servers, observability, device upgrades and edge AI. … Show more
SoftBank, Alphabet, Amazon, SK hynix, Nvidia and TSMC are not too late to buy: most trade cheaper on forward P/E than in April 2025 despite a 254% average gain. Models are about twice as intelligent since then, agentic AI is just taking off and robotics, which extends AI into physical work, has barely started. Goldman Sachs estimates AI agents could lift monthly token use 24-fold from 2026 to 2030, to 120 quadrillion. Some of the best-positioned names still trade below the market multiple. x.com … Show more
AI semiconductor stocks are falling because valuations priced in too much growth beyond 2026-27, not because fundamentals are worsening. With the sector ETF up more than 100% year to date at one point, Q2 earnings couldn't meet those expectations, and a crowded trade is deleveraging as everyone races for the same exit. Fundamentals are likely improving, so as positioning and valuation reset the trade can continue, but selectively. x.comÂ
US tech and semiconductor stocks are at the start of the biggest bull run of our lives, because AI's utility is insane and just getting started; now is the time to load up for the next 5+ years. AI will become a bubble, but generational wealth will be made in this next industrial revolution. x.com x.comÂ
Fidelity National Information Services is a good deep-value opportunity at current prices. The gap between momentum semiconductor and capex names and the AI 'losers' and mega-cap tech looks stretched, and a rotation seems near, whether from selling the news on Micron's earnings or quarter-end rebalancing, even if it is short-lived and volatile. x.comÂ