TubeRankBehind the video
The Best AI Stocks To Buy In 2026
Overall Thesis
Nash expects agentic AI to create a new investment supercycle by sharply increasing demand for compute, memory, networking, cloud capacity, power, and orchestration software. He favors infrastructure businesses with established fundamentals and competitive moats, and expects Tesla to lead the subsequent robotics opportunity.
Narratives
Nash predicts Lam Research will be a major beneficiary of agentic AI investment. Its semiconductor etching equipment complements lithography tools and occupies a leading market position.
Key Arguments
- Lam's equipment carves chip patterns into silicon.
- Its tools complement ASML's lithography equipment.
- He cites market leadership and strong revenue and income growth.
Predictions (1)
GOOGLAlphabetNash argues that Google's TPUs create a valuable degree of vertical integration and improve its cloud economics. He presents rapid cloud growth and a reasonable forward earnings multiple as reasons for optimism.
Key Arguments
- TPUs reduce exclusive reliance on externally supplied GPUs.
- Vertical integration supports margins.
- He cites cloud growth exceeding that of Microsoft and Amazon.
Nash sees GE Vernova as a key supplier for grid upgrades needed to expand AI data centers. He argues that demand is already visible in the company's financial growth.
Key Arguments
- The existing grid requires substantial upgrades to support additional data centers.
- GE Vernova supplies turbines and grid hardware.
- He cites strong operating income and net income growth.
Nash considers TSMC essential exposure to the agentic AI investment cycle because of its semiconductor manufacturing position. He argues that strong demand and operating income growth outweigh concerns about its valuation and location.
Key Arguments
- He describes TSMC as a dominant manufacturer of advanced chips.
- Capacity demand is characterized as extremely strong.
- He cites 48% operating income growth and a forward earnings multiple below 20.
Risks acknowledged
- Taiwan is a potentially problematic geopolitical region.
Predictions (1)
AMZNAmazonNash argues that Amazon is underpriced and misunderstood despite AWS's leading cloud position. He presents AWS as a toll booth on expanding AI activity and expresses strong ownership conviction.
Key Arguments
- AWS provides cloud infrastructure used by AI workloads.
- He cites net income growth and relatively attractive sales and forward earnings multiples.
- He argues that negative investor perceptions overlook the underlying business.
Risks acknowledged
- Investors perceive Amazon as having lost momentum.
Predictions (1)
NVDANvidiaNash views Nvidia as the core engine of the AI infrastructure stack, supported by a deeply embedded software and hardware ecosystem. He expects repeated equipment replacement cycles to extend demand before growth slows.
Key Arguments
- Switching away from Nvidia requires substantial time and money.
- Rapid compute obsolescence creates recurring infrastructure investment cycles.
- He cites strong revenue, operating income, and gross margins as evidence of established fundamentals.
Risks acknowledged
- Nvidia has previously appeared expensive on sales multiples.
- Multiples remain relevant but should be evaluated alongside growth.
Predictions (1)
AVGOBroadcomNash sees Broadcom as a critical complement to Nvidia through custom AI chips and networking infrastructure. He expresses direct ownership conviction for the coming AI supercycle.
Key Arguments
- Custom chips help data centers tailor their AI infrastructure.
- Networking connects the GPUs powering AI workloads.
- He cites rapid AI semiconductor revenue and earnings growth.
Predictions (1)
AMDAdvanced Micro DevicesNash argues that AMD benefits from both alternative GPU supply and renewed demand for CPUs in agentic AI. He presents its recent earnings and cash-flow growth as evidence supporting that dual opportunity.
Key Arguments
- AMD supplies GPUs as an alternative to Nvidia.
- Agentic workflows increase the importance of CPUs, context, and memory.
- He cites strong net income, operating income, and free cash flow growth.
ARMArm HoldingsNash describes Arm's chip-design licensing business as a toll booth on AI development. He expects additional agentic AI activity to expand royalty income.
Key Arguments
- Chip designs generate recurring royalty payments.
- He describes Arm's intellectual property as a central semiconductor blueprint.
- Nvidia's unsuccessful acquisition attempt is presented as evidence of strategic importance.
Predictions (1)
Nash emphasizes ASML's monopoly position in critical lithography equipment. He predicts that demand will keep its production capacity fully booked for five years.
Key Arguments
- He describes ASML's equipment as indispensable to semiconductor production.
- A lack of alternatives supports its competitive moat.
- The AI infrastructure cycle should sustain demand for manufacturing equipment.
Predictions (1)
MUMicron TechnologyNash expects high-bandwidth memory demand to push Micron higher as agentic AI expands. He argues that existing manufacturing scale and long lead times for competing facilities create a stronger moat than its historical commodity profile suggests.
Key Arguments
- Agentic AI increases demand for high-bandwidth memory.
- Building competing manufacturing capacity requires years and substantial capital.
- He cites low forward earnings valuation alongside rapid income and cash-flow growth.
Risks acknowledged
- Micron historically operated as a commodity business.
- Its stock has already experienced a substantial price increase.
Predictions (1)
Nash expects Arista to grow as agentic workloads increase the importance of networking inside data centers. He highlights its switching equipment and established revenue and income growth.
Key Arguments
- Networking connects GPUs within data centers.
- Agentic AI increases the need for reliable networking infrastructure.
- He cites 30% revenue growth and 23% income growth.
Predictions (1)
Nash views Cadence's electronic design automation software as essential to developing new semiconductors efficiently. He argues that additional chip demand from agents supports its role in the AI infrastructure stack.
Key Arguments
- Simulation identifies errors before companies commit capital to production tooling.
- More AI chips increase the relevance of design automation.
- He cites strong free cash flow growth, operating income growth, and margins.
MSFTMicrosoftNash views Microsoft as attractively priced relative to its cloud, enterprise software, data, and agent deployment capabilities. He argues that its recent stock weakness reflects misunderstanding rather than a loss of strategic importance.
Key Arguments
- Microsoft combines cloud infrastructure with enterprise software and organizational data.
- Its tools can support agents within businesses.
- He cites operating margins and valuation multiples as attractive.
Risks acknowledged
- The stock has recently declined.
Nash expects Vertiv to benefit as denser AI infrastructure requires more thermal management. He supports the outlook with recent profit and cash-flow growth.
Key Arguments
- Higher computing density increases cooling requirements.
- Thermal management is essential to agentic AI infrastructure.
- He cites rapid net income, free cash flow, and operating income growth.
Predictions (1)
Nash highlights Ciena as an infrastructure supplier connecting data centers through high-speed optical networks. Agentic workflows should make this interfacility networking role more important.
Key Arguments
- Agents increase traffic between data centers as well as within them.
- Ciena provides the optical networking infrastructure supporting that traffic.
- He cites income, operating income, and free cash flow growth.
Nash views Constellation Energy's nuclear generation as a fit for the continuous power requirements of agentic AI. He emphasizes reliable baseload supply and what he considers an inexpensive valuation.
Key Arguments
- Agentic workloads require reliable power around the clock.
- Nuclear generation is presented as sustainable, inexpensive, and dependable.
- He cites free cash flow growth and a three-times-sales valuation.
Risks acknowledged
- He characterizes its growth as relatively slow.
PLTRPalantir TechnologiesNash identifies Palantir as his highest-conviction stock and places it in the AI orchestration layer that connects technology to business value. He rejects the idea that chatbots will undermine its business and emphasizes its growth metrics.
Key Arguments
- Agent deployment requires governance, monitoring, and orchestration.
- He cites revenue growth, operating income growth, and a high rule-of-40 metric.
- Historical performance is used to argue against relying solely on sales multiples.
Risks acknowledged
- Palantir trades at a high sales multiple.
- Critics argue chatbots could displace its business; Nash rejects that argument.
Predictions (1)
CRWDCrowdStrikeNash argues that autonomous agents increase the importance of cybersecurity because they access sensitive information and code. He considers CrowdStrike a strong way to address that security requirement.
Key Arguments
- Agents operate independently with access to potentially sensitive systems.
- Security becomes central to enterprise agent adoption.
- He cites retention, revenue growth, and free cash flow growth.
Nash recommends keeping at least half a portfolio allocated to the S&P 500 as part of his broader investing framework. This is an allocation recommendation without a forecast for the index's direction or level.
Key Arguments
- Broad index exposure is presented as a core portfolio holding.
- He combines this allocation with emergency savings, bonds, systematic purchases, and trimming rules.
BEBloom EnergyNash argues that Bloom Energy's onsite power offering addresses grid constraints affecting AI infrastructure. His strong ownership recommendation explicitly depends on the company reporting truthful financial numbers.
Key Arguments
- Onsite generation becomes valuable when grid power is constrained.
- He cites strong revenue, operating income, and free cash flow growth.
- The reported growth figures underpin his investment enthusiasm.
Risks acknowledged
- The company has attracted short reports.
- Nash acknowledges that the reported numbers could be misleading.
Predictions (1)
Nash views Digital Realty as a landlord benefiting from demand for data-center real estate. He expects higher data-center demand to translate into more money for the business.
Key Arguments
- Digital Realty leases real estate used for data centers.
- Higher infrastructure demand supports its landlord business.
- He cites strong net income and free cash flow growth and a high EBITDA margin.
Predictions (1)
Nash sees MongoDB's database capabilities as important to giving AI systems good data and context. He argues that this places the company at a bottleneck in the agentic AI cycle.
Key Arguments
- Model output depends on good underlying data.
- Agents require persistent context.
- He cites free cash flow and revenue growth.
TSLATeslaNash expects Tesla to win the robotics race and positions it as the prospective leader by 2035. He argues that its driving software, manufacturing expertise, hardware capabilities, data, and financial resources transfer naturally to embodied AI.
Key Arguments
- He treats FSD as a robotics system operating on wheels.
- Tesla has experience in motors, batteries, vision, supply chains, and manufacturing.
- Real-world driving data is presented as a competitive advantage.
- Cash reserves and automotive revenue can fund the robotics transition.
Risks acknowledged
- Tesla is undergoing a business pivot.
- He expresses uncertainty about whether Tesla will still manufacture cars in 2035.
Hedges & Caveats
- Investments should combine an attractive growth story with established fundamentals and proof of concept.
- Multiples matter, although Nash argues that growth must also be considered.
- TSMC faces geopolitical risk because of its location in Taiwan.
- Bloom Energy has attracted short reports, and Nash explicitly conditions his enthusiasm on its reported numbers being truthful.
- Application businesses are described as crowded, commoditized, and relatively low margin.
- Nash recommends a six-month emergency fund, allocating at least half a portfolio to the S&P 500, holding bonds, averaging purchases, and following trimming rules.
- The video description states that the content expresses the author's opinion and is not financial or investment advice.