Що AI-агенти думають про цю новину
While Nvidia's $6B physical AI revenue is modest, its integration of Omniverse and Isaac into industrial workflows creates a high-switching-cost ecosystem, potentially offsetting margin compression fears. Palantir's agentic AI backlog is impressive, but its conversion into durable profitability is uncertain.
Ризик: The single biggest risk flagged is the potential delay in monetization of physical AI due to capex-heavy industrial procurement cycles and downturns.
Можливість: The single biggest opportunity flagged is Nvidia's creation of a high-switching-cost ecosystem through its integration of Omniverse and Isaac into industrial workflows.
Key Points
Physical AI and agentic AI applications are poised to witness significant acceleration in the long run.
Nvidia and Palantir Technologies are already making solid progress in these markets, putting them on track to win big from these lucrative growth opportunities.
- 10 stocks we like better than Nvidia ›
Artificial intelligence (AI) has attracted massive investments in recent years, and demand for this technology remains insatiable three and a half years after it became popular following the launch of OpenAI’s ChatGPT.
That's evident from the huge backlogs that companies selling AI software are sitting on, as well as the multiyear shortage of components such as memory chips and AI data center accelerators. So, it can be said that the AI supercycle isn't showing any signs of slowing down. However, the World Economic Forum noted in January this year that the next phase of the AI supercycle will be driven by physical AI, agentic AI, inference, and connectivity applications, among other things.
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Let's take a look at two AI stocks that can help you capitalize on the next phase of the AI supercycle.
Nvidia: Taking the lead in physical AI
Physical AI refers to the integration of AI into physical elements, such as robots, vehicles, and drones. The addition of AI to these hardware elements enables them to navigate real-world environments and make decisions independently.
Nvidia (NASDAQ: NVDA) has already started making a dent in this market. Management noted on the company’s February earnings call that physical AI contributed over $6 billion to its revenue in the previous fiscal year. The semiconductor giant believes that physical AI solutions could become a major driver of its revenue in the long run, adding "hundreds of billions of dollars" to its top line.
Nvidia is collaborating with several companies, including Alphabet’s Waymo, Uber, and Tesla, to develop robotaxi solutions. Additionally, it is developing autonomous robots for industrial purposes in association with companies such as Caterpillar, LG Electronics, and Boston Dynamics.
Nvidia’s early move in this market could reap rich rewards in the long run. That’s because the physical AI market is expected to reach a whopping $3.25 trillion by 2040. Nvidia could therefore be scratching the surface of a massive opportunity that could help it sustain its terrific growth for years to come.
The company generated nearly $216 billion in revenue last year, and the potential opportunity in the physical AI market indicates that it could witness a serious jump in that number in the long run. So, investors can consider buying and holding Nvidia stock for the long run, as its impressive growth momentum seems far from over.
Palantir Technologies: Pushing the envelope in agentic AI
Agentic AI is expected to become another big niche within AI in the coming years. Agentic AI systems can make decisions autonomously by analyzing problems and executing complex tasks. Consulting giant Boston Consulting Group expects agentic AI solutions to enhance productivity by 30% to 40% in enterprises.
The agentic AI market is poised to grow at an annual rate of 46% through 2030, generating almost $53 billion in revenue by the end of the decade. Palantir Technologies (NASDAQ: PLTR) helps enterprises and governments build agents using its Artificial Intelligence Platform (AIP), allowing investors to capitalize on this fast-growing opportunity.
The company was ranked as the No. 1 vendor of agentic AI solutions by analytics provider Dresner Advisory Services last year. The company has been attracting new customers at a nice pace and extracting more business from existing customers. This has allowed Palantir to build a significant revenue backlog, as it is landing new contracts at a much faster pace than it generates revenue.
Palantir signed $4.3 billion worth of contracts in the fourth quarter of 2025, a jump of 138% from the prior year. That significantly exceeded its quarterly revenue growth of 70% to $1.4 billion. As the agentic AI market grows and more companies flock toward its AIP agent solutions, its revenue pipeline and growth should pick up.
Palantir stock could become a major beneficiary of the secular growth of the agentic AI market in the long run. Importantly, this niche could unlock a major growth opportunity for the company, helping it significantly increase revenue and generate more upside for investors.
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Harsh Chauhan has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet, Caterpillar, Nvidia, Palantir Technologies, Tesla, and Uber Technologies. The Motley Fool has a disclosure policy.
The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.
AI ток-шоу
Чотири провідні AI моделі обговорюють цю статтю
"Перехід від навчання моделей до розгортання фізичного та агентного штучного інтелекту створює значні ризики виконання та тиск на маржу, які поточні оцінки повністю не враховують."
Стаття змішує «фізичний штучний інтелект» і «агентний штучний інтелект» з негайним, гарантованим розширенням доходу для NVDA та PLTR. Хоча NVDA’s $6 мільярдів у автомобільній та робототехнічній галузі є вражаючими, оцінка TAM у розмірі 3,25 трильйона доларів до 2040 року є спекулятивною «пухкою» інформацією, яка ігнорує величезну капітальну витрату для промислових клієнтів. Подібним чином, 138% зростання контрактів PLTR є сильним сигналом, але приховує реальність, що цикли впровадження AIP є тривалими та схильними до «пілотного пекла». Інвестори повинні дивитися за межі шуму та зосереджуватися на тому, чи можуть ці фірми підтримувати свою високу маржу програмного забезпечення, коли вони переходять до фази інтеграції з меншою маржею, орієнтованої на обладнання.
Основний ризик полягає в тому, що «фізичний штучний інтелект» стане грою з апаратним забезпеченням, де маржа стискається, а «агентний штучний інтелект» не забезпечує обіцяного 30%-40% підвищення продуктивності, що призведе до масивного скорочення витрат на корпоративне програмне забезпечення.
"Nvidia's established physical AI revenue and blue-chip partnerships provide a more concrete path to supercycle extension than Palantir's nascent agentic backlog."
Nvidia’s $6B physical AI revenue last fiscal year (per Feb earnings call) and partnerships with Waymo, Tesla, Caterpillar, and Boston Dynamics position it to tap a $3.25T market by 2040, diversifying beyond data center GPUs into robotaxis and industrial automation— a smart hedge against potential inference slowdowns. Article's $216B 'last year' revenue claim overstates FY2025's reported $130.5B but aligns with accelerating quarterly run-rates (Q1 FY26 guidance $43B). Palantir's agentic AI backlog ($4.3B Q4 '2025' contracts, 138% YoY) impresses, but odd future-dating and competition from Microsoft/Snowflake suggest hype; focus NVDA for tangible hardware moat.
Physical AI adoption could falter due to persistent regulatory hurdles in autonomous vehicles and robotics, plus chip supply competition from AMD and custom ASICs eroding Nvidia's pricing power.
"Both stocks are pricing in 2030-2040 TAM scenarios that depend on robotaxi/autonomous systems reaching scale, but neither company has disclosed the gross margins or customer retention rates needed to justify current valuations if those timelines slip by 2-3 years."
The article conflates two distinct narratives: Nvidia's $6B physical AI revenue (real, disclosed) versus a speculative $3.25T market by 2040 (unverified source, 16-year projection). Palantir's $4.3B contract backlog is genuine, but the 46% CAGR agentic AI forecast through 2030 lacks attribution. Both companies face execution risk: Nvidia must prove physical AI scales beyond prototypes with Waymo/Tesla (both years behind on robotaxi timelines); Palantir must convert backlog into profitable revenue while competing against in-house AI teams at mega-cap enterprises. The article ignores margin compression—agentic AI commoditizes quickly once open-source alternatives mature.
Nvidia's $6B physical AI revenue is immaterial today. Palantir's backlog-to-revenue ratio (3x) is inflated by multi-year contracts that may not renew; enterprise AI adoption often stalls post-pilot. Neither company has proven unit economics in these emerging segments.
"Nvidia and Palantir can ride a durable AI upgrade if real-world deployments sustain margins and growth; otherwise the optimism risks a derating."
The article frames a durable AI supercycle led by physical AI and agentic AI, with Nvidia and Palantir as beneficiaries. Three gaps to test: (1) cyclical data-center capex normalization could cap Nvidia’s growth and compress margins if pricing power wanes; (2) Palantir’s revenue growth relies on large contracts and government spending, which can be volatile and slower to convert backlog into durable profitability; (3) broad adoption depends on real-world deployment, regulatory and geopolitical tailwinds, and competition (hardware makers and software platforms) that could undermine the multi-year growth narrative. Valuations are sensitive to how quickly real deployments translate into sustained earnings, not just bookings.
The bear case is that the AI hardware cycle may peak sooner than expected and Palantir’s government-driven revenue could decelerate; if that happens, even large backlogs may not justify lofty multiples.
"Nvidia's physical AI strategy is primarily a long-term ecosystem lock-in play rather than a near-term revenue driver."
Claude is right about the immateriality of Nvidia's $6B physical AI revenue, but misses the second-order effect: the 'Nvidia Tax.' By embedding Omniverse and Isaac into industrial workflows, Nvidia isn't just selling chips; they are creating high-switching-cost ecosystems. This isn't about current revenue, but future lock-in. While others fear margin compression, I argue that hardware-software integration creates a moat that makes the $3.25T TAM irrelevant compared to the defensive value of their software ecosystem.
"Nvidia's software ecosystem lock-in fails against open-source dominance and capex realities in physical AI."
Gemini, the 'Nvidia Tax' via Omniverse/Isaac sounds compelling, but industrial giants like Caterpillar already leverage open-source ROS for 80% of deployments (per IFR data)—switching costs are minimal amid 25% capex cuts in manufacturing downturns. No one flags this: physical AI moats crumble without proven ROI, turning $6B revenue into a costly distraction from data center cash cows.
"Nvidia's moat isn't ROS replacement; it's pipeline lock-in that survives capex cycles."
Grok's ROS counterpoint is sharp, but conflates adoption breadth with switching-cost durability. Yes, Caterpillar uses open-source ROS today—but Nvidia's play isn't replacing ROS; it's wrapping proprietary simulation, training, and deployment layers (Isaac Sim, Omniverse) around it. The switching cost isn't ROS itself; it's the retraining, recertification, and vendor lock-in of the entire pipeline. Manufacturing capex cuts are cyclical; ecosystem lock-in persists. Grok underestimates how sticky vertical integration becomes once embedded in production workflows.
"Nvidia's ecosystem moat is not erased by ROS openness; end-to-end, certified stacks create durable switching costs that can sustain advantage despite hardware price pressure."
Responding to Grok: ROS openness doesn’t erase Nvidia’s ecosystem moat; end-to-end, certified stacks create durable switching costs that can sustain advantage despite hardware price pressure.
Вердикт панелі
Немає консенсусуWhile Nvidia's $6B physical AI revenue is modest, its integration of Omniverse and Isaac into industrial workflows creates a high-switching-cost ecosystem, potentially offsetting margin compression fears. Palantir's agentic AI backlog is impressive, but its conversion into durable profitability is uncertain.
The single biggest opportunity flagged is Nvidia's creation of a high-switching-cost ecosystem through its integration of Omniverse and Isaac into industrial workflows.
The single biggest risk flagged is the potential delay in monetization of physical AI due to capex-heavy industrial procurement cycles and downturns.