The Six Five with Patrick Moorhead and Daniel Newman

Patrick Moorhead and Daniel Newman
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Leading global tech analysts Patrick Moorhead (Moor Insights & Strategy) and Daniel Newman (Futurum Research) are front and center on The Six Five analyzing the tech industry's biggest news each and every week and also conducting interviews with tech industry "insiders" on a regular basis.

  1. 1d ago

    IBM's $15B Day, Claude Opus 4.8, & Biggest Earnings Night of Spring 2026 | Ep. 306

    Patrick Moorhead and Daniel Newman cover Daniel's acquisition of Enterprise Technology Research, IBM's historic $15 billion single-day commitment spanning quantum and open-source security, Anthropic's Claude Opus 4.8, and the heaviest single earnings night of the season featuring Dell, Marvell, Salesforce, Synopsys, Snowflake, HP, and Micron crossing $1 trillion in market cap. The handpicked topics for this week are: Anthropic Releases Claude Opus 4.8: Six Weeks After 4.7 Anthropic dropped Opus 4.8 just six weeks after 4.7, claiming it surpasses GPT-5.5 and Gemini 3.1 Pro on agentic coding, knowledge work, and computer use. Benchmark improvements across the board: agentic coding up from 64.3% to 69.2%, knowledge work from 1753 to 1890, agentic computer use from 82.8% to 83.4%. Three new features ship alongside it: Dynamic Workflows for multi-subagent orchestration inside Claude Code, Effort Control for managing token spend, and mid-task system messages via the API. Fast mode is now 2.5x faster and 3x cheaper. Pat's honest take: what it says on paper is good, particularly on tool triggering and citation precision, but he has lost significant trust in the company and is watching closely. (The Decode)   IBM Commits $10 Billion to Quantum: The Largest Single Quantum Bet in History IBM announced a $10 billion commitment over five years targeting a large-scale fault-tolerant quantum computer by 2029, landing the same day as the $5 billion Project Lightwell announcement for a single-day IBM strategic commitment of $15 billion. Pat has been calling 2029 to 2031 as the realistic commercial quantum window and calls this the strongest single corporate financial signal yet that the timeline is real. Daniel's framing: IBM wants to be the NVIDIA of quantum, and with a $10 billion commitment, it's sending a flare to the entire industry that pure-play quantum companies cannot compete at this balance sheet level. (The Decode)   IBM and Red Hat Launch Project Lightwell: $5B to Secure Open-Source Software IBM and Red Hat committed $5 billion and a global force of 20,000 engineers to secure open-source software for enterprises through frontier agentic AI, anchored by 11 of the largest US and Canadian banks including Bank of America, Goldman Sachs, JPMorgan Chase, Mastercard, and Visa. Pat's read: this is the productization answer to Anthropic Mythos. Mythos found the vulnerabilities. Lightwell is the industrial-scale patching and validation layer enterprises can actually buy on a subscription. Daniel adds that IBM is flexing its engineering talent base as a premium strategic asset, a direct counter to the narrative that AI replaces engineers. (The Decode)   Anthropic Project Glasswing: 23,000 Vulnerabilities Found Across 1,000 OSS Projects Anthropic's Claude Mythos scanned more than 1,000 widely deployed open-source projects and surfaced approximately 23,000 candidate vulnerabilities, with 1,094 confirmed as critical severity. The Cyber Verification Program now gates the strongest cyber-capable Claude variant behind vetted defenders only. While the tool creates real value, the surface of attack will likely grow as fast as any tool built to defend it. (The Decode)   Anthropic in Talks to Run Claude on Microsoft Maia 200 CNBC and The Information reported Microsoft is in active negotiations to supply Anthropic with its custom Maia 200 inference chip, which would make Anthropic the only frontier lab simultaneously running production workloads on four distinct silicon stacks: NVIDIA, AWS Trainium, Google TPU, and Microsoft Maia. Pat's context: Maia 200 delivers 30% better tokens per dollar than the latest Azure fleet per Satya Nadella, and this deal would be Maia's first major external deployment. Daniel's read: what can be built will be sold right now, and Anthropic chasing every available compute source is simply the structural reality of growing at 80x when you planned for 10x. (The Decode)   The Flip: Is AI CapEx Too Expensive to Earn Its Return? Pat takes the affirmative. With $725 billion in hyperscaler CapEx tracking for 2026, likely $1 trillion next year, memory has become the choke point making it even more expensive, and open-source models have closed enough of the quality gap for most enterprise tasks that the premium of frontier APIs is increasingly hard to justify. A recent Signal65 white paper shows on-prem payback at 18 months. Daniel's counter: Dell just booked $24 billion in AI orders in a single quarter. Agentforce crossed $1 billion ARR at 169% growth. NVIDIA guided to $91 billion. Only 20% of enterprises are using AI and only 2% of consumers. Both hosts admitted off the flip their notes looked nearly identical. (The Flip)   Micron Crosses $1 Trillion Market Cap Micron became the 12th US company ever to cross $1 trillion in market cap, surging 19% on May 26th as UBS raised its price target to $1,625, implying a $1.8 trillion market cap. Samsung's Q1 memory ASP jumped 146% year over year. DRAM spot prices spiked 55 to 60% quarter over quarter. Daniel has been pounding this call since sub-$100 and calls it a cycle elongated beyond anything seen in the 27 prior memory cycles, driven by HBM capacity reallocation away from consumer DRAM creating structural shortage. (Bulls and Bears)   Dell Technologies Q1 FY27: The Biggest Enterprise AI Infrastructure Print of 2026 Record $43.8 billion revenue, up 88% year over year, crushing the $35.7 billion consensus by $8 billion. AI-optimized servers at $16.1 billion, up 757% year over year. $24.4 billion in AI orders booked in a single quarter. FY27 AI server revenue guide raised from $50 billion to $60 billion. Non-GAAP EPS of $4.86 beat the $2.96 consensus by 64%. Stock up 18% after hours. Pat's framing: Dell was very clear about what they were going to do. Rack engineering, sales, and service. The basics. And they executed the basics at an extraordinary level while building a special relationship with NVIDIA who views Dell as a market maker for both enterprise and NeoCloud. Daniel's add: play nice and win. Michael Dell navigated the political landscape brilliantly and pulled the entire Dell brand along with him. (Bulls and Bears)   Marvell Technology Q1 FY27: Record Revenue, Data Center at 76% of Mix Record $2.418 billion revenue, up 28% year over year. Data center at $1.833 billion, up 27% year over year, now 76% of total revenue. Q2 guide of $2.7 billion at midpoint accelerates growth to 35% year over year. Operating cash flow a record $638.8 million. Daniel went on TV and said it's "written in the stars," arguing the market had misunderstood this one for too long by conflating its custom AI ASIC story with the full breadth of its connectivity and networking portfolio. Pat's closing: the shorts are eating it now and the custom AI ASIC versus merchant GPU debate is finally settling into the right answer, which is both in lockstep. (Bulls and Bears)   Salesforce Q1 FY27: Agentforce Crosses $1 Billion ARR Revenue $11.13 billion, up 13% year over year. Non-GAAP EPS of $3.88 crushed the $3.12 consensus by 24%. Agentforce ARR crossed $1 billion, up 169% year over year, with 28.6 trillion tokens processed, up 152% quarter over quarter. 50% of Agentforce bookings came from existing customers expanding. Daniel flagged the $25 billion accelerated buyback funded by new debt as an interesting signal worth watching. Pat's bottom line: it's not perfect, but certainly no "SaaSpocalypse" in those numbers. (Bulls and Bears)   Synopsys Q2 FY26: First Full Quarter With Ansys Integrated Revenue $2.276 billion, up 42% year over year, beating consensus. Non-GAAP EPS of $3.35 beat $3.15. FY26 guide raised to $9.665 billion midpoint. Daniel's framing: every chip runs through Synopsys tools, and the Ansys addition makes it the full-stack co-design platform Jensen Huang keeps talking about. Synopsys is not just the pick and shovel of current AI silicon. It is the pick and shovel of quantum, robotics, and space as well. (Bulls and Bears)   Snowflake Q1 FY27: Strongest Sequential Dollar Growth in Company History Product revenue $1.33 billion, up 34% year over year, the strongest sequential dollar growth in Snowflake history. Net revenue retention 126%. FY27 product revenue guide raised to $5.84 billion. Natoma acquisition announced for secure agentic enterprise connectivity. New $6 billion multi-year AWS commitment. Daniel's closing: proprietary unique data is the real moat of the agentic era, and that data has to live somewhere. It is going to go to platforms like Snowflake. (Bulls and Bears)   HP Inc. Q2 FY26: Eight Straight Quarters of Growth With AI PCs at 44% of Shipments Revenue $14.4 billion, up 9% year over year, the company marks its eighth consecutive quarter of top-line growth. Non-GAAP EPS of $0.86 beat the prior guide. Personal Systems at $10.2 billion, up 13%, with 30% operating profit growth. AI PCs jumped from 35% to 44% of shipments quarter over quarter, with HP guiding to 60 to 70% next fiscal year. FY26 EPS guide raised. Pat's note: they still need a permanent CEO, which would help investors sleep better at night. Daniel's add: the real explosive moment for device companies comes when AI moves to the edge and enterprises shift from expensive frontier model consumption to on-device inference. (Bulls and Bears)   Everpure Q1 FY27: Record Revenue, Rebrand Complete Record revenue of $1.1 billion, up 35% year over year. Product revenue $577 million, up 55%. Subscription ARR at $2 billion. FY27 guide raised to $4.41 to $4.51 billion. Pure Storage officially completed its rebrand to Everpure. Daniel's emerging thesis: the agentic era has focused enormous attention on memory and compute, but after the inference runs, the data has to sit somewhere. Storage has not seen its full inflection yet and Everpure is well positioned when that wave arrives. (Bulls and Bears)

    58 min

  2. May 23

    Google I/O Goes Full Stack, NVIDIA Prints $81B, and the SaaSpocalypse Debate Reaches Its Verdict | Ep. 305

    Patrick Moorhead and Daniel Newman return from Dell Technologies World to unpack Google I/O's Gemini-as-operating-system moment, the Blackstone-Google TPU joint venture nobody saw coming, NVIDIA's $81.6 billion quarter with a $91 billion guide, and debate whether or not the "SaaSpocalypse" is finally over. The handpicked topics for this week are: Google I/O 2026: Gemini Becomes the Operating System. Google I/O repositioned Gemini from a product to the operating layer for everything Google does, and the numbers backed it up. 900 million monthly active users, 3.2 quadrillion tokens per month, a 7x jump year over year. Pat's headline: this is about widening distribution, not just model quality. Gemini 3.5 Flash, Antigravity 2.0, Gemini Spark, and Android XR glasses all extend Gemini into surfaces that no competitor can replicate. Daniel's read: the token-cost reckoning is coming, and when enterprise subsidies end, models that can deliver value at a lower cost per token will become the ground zero of the next era. (The Decode) Dell Technologies World 2026: AI Factory Goes Agentic, 1,000 New AI Server Clients. Pat and Dan were both on the ground in Las Vegas and called it the most consequential Dell event in years. Michael Dell and Jensen Huang co-keynoted to launch the next-generation Dell AI Factory with liquid-cooled PowerEdge XE9780 servers, Dell Deskside Agentic AI, and a multi-model ecosystem including Google Distributed Cloud with Gemini 3.0, on-prem OpenAI Codex, and Grok. 1,000 new AI server clients in a single quarter is the cleanest leading indicator of enterprise demand heading into Dell's Q1 print. Pat's biggest takeaway: OpenShell as a control plane for agents spanning from the GB10 all the way to the PowerEdge rack has been the missing orchestration piece. Daniel's read: large enterprises are going to build hybrid AI architectures and want to deliver tokens at the lowest possible on-prem cost, and Dell is ready. (The Decode) Blackstone and Google Launch a $5B TPU Joint Venture. Pat called it the biggest story of the week and the one that went most under the radar. For the first time, a hyperscaler has released its proprietary AI silicon to a third-party distribution entity. The $5 billion deal, up to $25 billion with leverage, targets 500 megawatts of capacity online by 2027. Daniel's framing: Google decided its custom silicon is worth more as a commercially distributed asset than as a captive moat. Pat's note: the proprietary nature of TPU infrastructure means retrofitting existing data centers will require real work, but the sovereign angle gives the JV a natural first market. (The Decode) AMD Helios, $10B Taiwan Investment, and the MI450 Anchor Customer Rumor. AMD dropped a $10 billion Taiwan ecosystem investment alongside confirmation that Helios rack-scale is on track for multi-gigawatt customer deployments beginning 2H 2026. A Citi rumor surfaced Anthropic as the anchor MI450 customer, to be formally announced at AMD's Advancing AI Day in July. Pat's read: Lisa Su has made a commitment and she almost never falls through. The analysts who said AMD would not ship anything in the second half of 2026 are going to be very wrong. (The Decode) OpenAI Guaranteed Capacity: Sam Altman's Moment. OpenAI launched multi-year compute commitment contracts the same week that Anthropic was struggling with capacity outages. Pat called it brilliant and said it makes Sam Altman look like a genius. It's the inference-era analog of cloud reserved instances: guaranteed availability at a locked price for one, two, or three years. Daniel added context: Anthropic's annualized ARR growth is nearly double OpenAI's and is about to lap them, so the model war is far from over. But for enterprises that need reliability, OpenAI just made the most compelling enterprise trust argument of the week. (The Decode) Sovereign AI Crosses $30 Billion at NVIDIA, 14% of Revenue. NVIDIA disclosed sovereign AI as a segment-level line for the first time, at $30 billion in FY26, 3x the prior year. Pat has been tracking sovereign for years and calls this the clearest possible signal that it has moved from marketing term to structural revenue category. Daniel's point: outside of the four or five hyperscalers doing all the major buying, sovereign is where the incremental demand is coming from and it is very real. (The Decode)  The Flip: Is the SaaSpocalypse Over? Daniel took the affirmative and came in loaded. Every earnings report across CrowdStrike, Cloudflare, ServiceNow, Intuit, Salesforce, Atlassian, Notion, and monday.com shows companies growing with the AI tailwind. His core argument: there was a reason SaaS emerged 20 to 30 years ago. Companies do not want to be in the software business. Vibe-coded flat-file apps with no security, no governance, no data lineage look great in a kitchen demo and fall apart at enterprise scale. The SaaSpocalypse is over and he is tired of talking about it. Pat's counter: BofA slapped Salesforce with an Underperform at $160, 8% below where it trades. Snowflake is down 35% year-to-date. A senior Dell executive told him Dell will not buy another SaaS system and is tripling internal software creation. The growth question is real even if the terminal value is not zero. Both agree the tape will tell the real story. (The Flip) NVIDIA Q1 FY27 Results. Record $81.6 billion revenue, up 85% year over year. Data center at $75.2 billion, up 92%. Non-GAAP EPS of $1.87, up 140%. Q2 guide of $91 billion crushed the $86.8 billion consensus by $4 billion at the midpoint. $80 billion buyback authorized, dividend raised 25x. The stock went down after hours for the fifth consecutive time following a massive beat and raise. Pat's read: NVIDIA may be worth $8 to $9 trillion on paper at a sector-average multiple and 75% gross margins held. Daniel's framing: this is the best company in the world, possibly tied with Google, and it is becoming the Apple of this era. He sees a long safe journey of continued growth vs. speculative dollars chasing quantum and space names that can double in a week. (Bulls and Bears) Intuit: Earnings Beat, Revenue Miss. A 17% workforce cut, raised guidance, and $8 billion buyback were authorized. Pat's emerging thesis: these companies are cutting people to afford tokens. Intuit comes at a moment when OpenAI's ChatGPT finance plugin via Stripe is building an intelligence layer that could sit on top of Intuit's products without displacing them directly, at least not yet. (Bulls and Bears) Lenovo: Record $21.6 billion quarterly revenue, up 27% year over year. The company's fastest growth in five years. AI-related revenue is up 84% year over year to 38% of total company revenue. ISG returned to full-year operating profit with a $21 billion AI server pipeline. Pat and Dan both read Lenovo's results as NVIDIA tea leaves, a leading indicator of enterprise AI server demand that directly validates what Dell said on stage about 1,000 new AI server clients. (Bulls and Bears) Analog Devices: Record $3.62 billion revenue, up 37% year over year. EPS up 67%. Q3 guide of $3.9 billion crushed consensus by $270 million. Data center up 90%, industrial up 56%, comms up 79%. The $1.5 billion Empower Semiconductor acquisition adds integrated voltage regulator technology that can reduce AI data center power consumption by 10 to 15% while shrinking the power footprint by up to 4x. Daniel's closing point: you can't build AI servers without players like Analog Devices and Lattice Semiconductor. These essential node companies aren't boring, they're foundational. (Bulls and Bears) Check out all of our Dell Technologies World coverage linked in the show notes including our sit-downs with Michael Dell, Jeff Clark, and key customers. Be part of our community. Hit that subscribe button and see you at Computex.   The Decode Google I/O 2026 — Gemini Becomes the Operating System: 900M MAU, 3.2 Quadrillion Tokens/Month, Gemini Omni, Antigravity 2.0, Gemini Spark, and Android XR Glasses https://blog.google/innovation-and-ai/sundar-pichai-io-2026/ Dell Technologies World 2026 — AI Factory Goes Agentic: Michael Dell + Jensen Huang Unveil PowerEdge XE9780, Dell Deskside Agentic AI, and a Multi-Model Ecosystem; Dell Adds 1,000 AI-Server Clients in the Quarter https://www.dell.com/en-us/blog/dell-technologies-world-a-bright-and-beautiful-road-ahead/ Blackstone + Google Launch $5B (Up to $25B w/ Leverage) JV to Sell Google TPUs Outside Google Cloud — First Time a Hyperscaler Has Released Its Custom Silicon to a Third-Party Distribution Channel; 500 MW Online by 2027, Benjamin Treynor Sloss as CEO https://www.blackstone.com/news/press/blackstone-announces-joint-venture-with-google-to-create-new-tpu-cloud/ AMD Announces $10B+ Taiwan Ecosystem Investment — Helios Rack-Scale Platform With MI450X GPUs and Venice EPYC on TSMC 2nm Targeting Multi-Gigawatt Deployments 2H 2026; the Clearest Second-Source Signal Yet https://ir.amd.com/news-events/press-releases/detail/1286/amd-announces-more-than-10-billion-in-taiwan-ecosystem-investments-to-accelerate-ai-infrastructure OpenAI Launches Guaranteed Capacity — Multi-Year Compute Commitments Turn Inference Capacity Into a New Enterprise Asset Class https://www.cnbc.com/2026/05/19/openai-announces-new-guaranteed-capacity-offering-for-customers-to-secure-compute.html The Sovereign AI Government Investment Wave — NVIDIA Discloses ~$30B Sovereign-AI Revenue (14% of Mix); UAE, Saudi, Japan, Australia, France All in Motion This Week https://finance.yahoo.com/markets/stocks/articles/analog-devices-q2-earnings-beat-153000996.html   The Flip: Is the SaaSpocalypse Officially Over — or Is BofA's Split Call (ServiceNow Buy, Salesforce Underperform) the Real Signal That Platform AI Monetization Is Going to Be Bifurcated, Not Universal? FOR:  BofA Reinstates Coverage of ServiceNow, Salesforce — Barron's (May 18) https://www.barrons.com/art

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  3. May 11

    Anthropic at $1.2 Trillion, AMD's Blowout Quarter, and the PE-Backed AI Enterprise Play | Ep. 304

    Patrick Moorhead and Daniel Newman dig into the week's biggest moves in enterprise AI: Anthropic and OpenAI launching PE-backed enterprise JVs on the same day, Anthropic filling its compute gap with SpaceX's Colossus, Cerebris filing for a $3.5 billion IPO, NVIDIA going deep on co-packaged optics with Corning, and a full IBM Think and ServiceNow recap. Plus, for The Flip, hosts debate whether Anthropic, at $1.2 trillion, is the most important company in enterprise tech. The handpicked topics for this week are: 1. Anthropic and OpenAI Launch PE-Backed Enterprise JVs on the Same Day — Both companies announced private equity joint ventures, with OpenAI backed by Bain, Brookfield, and Advent, and Anthropic partnering with Blackstone, Goldman Sachs, Apollo, and General Atlantic. Daniel's read is that this is fundamentally a distribution play, using private equity portfolio companies as a deployment channel for AI at scale. Pat sees it as the clearest admission yet that enterprise AI cannot be self-implemented at scale without specialized consulting support, and flags that mid-tier systems integrators (SIs) could get cut out of the middle. (The Decode) 2. Anthropic Signs Massive Compute Deal with SpaceX Colossus — Anthropic urgently needed compute and SpaceX had 300 megawatts and 220,000 GPUs sitting at Colossus One in Memphis without enough business to fill them. Pat's take is blunt: this move is pragmatic. Anthropic needs it, xAI has it. Daniel adds that Dario himself said they planned for 10x growth and got 80x, and this deal is the fast backfill that reality demanded. The side note both hosts flag: Anthropic is running on H100s, H200s, and B200s, which puts the whole "Anthropic only runs on Trainium and TPUs" narrative to rest. (The Decode) 3. Cerebris Files for a $3.5 Billion IPO at $26.6 Billion Valuation — This marks their second attempt at an IPO after pulling the first filing. The architecture is genuinely unique, a complete wafer with massive on-chip SRAM and interconnects built directly onto the wafer rather than copper or photonics. Pat calls it the first credible Western alternative for AI inference. Daniel's framing cuts through: you do not have to beat NVIDIA to sell right now. You just need to have availability. The more interesting headline, both hosts agree, is that Sam Altman and Greg Brockman are angel investors, which adds fuel to the ongoing OpenAI lawsuit. (The Decode) 4. NVIDIA and Corning Announce $500 Million Optical Partnership — Three new US factories, co-packaged optics for Vera Rubin, and a supply chain strategy that mirrors what NVIDIA did with Coherent. Pat's context: this is vertical integration through investment rather than acquisition. Daniel's observation is that the pace of movement toward co-packaged optics is accelerating faster than anyone expected, and his "rule of and" applies here too. Copper is not going away. Optics are being added on top because the data volumes moving across these racks are outrunning what copper alone can handle. US manufacturing in North Carolina and Texas is a strategic bonus. (The Decode) 5. IBM Think 2026: Day Zero, Sovereign Core, and the Quantum Plus AI Bet — Pat moderated on stage with CEO Arvind Krishna and calls this IBM's best showing in five years. Arvind opened with the AI divide, the gap between companies still running POCs and companies already in production, and framed where IBM sits as day zero, not because nothing has happened, but because enterprise AI deployment at scale is still so early. Daniel's biggest takeaways: watsonX Orchestrate updates, Sovereign Core going GA with policy at runtime, and the Confluent acquisition potentially being IBM's most important asset since Red Hat, given that 40% of Fortune 500 companies run on it and real-time streaming data is foundational to agentic systems. Both hosts land on quantum plus AI as IBM's next inflection moment. (The Decode) 6. ServiceNow Knowledge 2026: Enterprise SaaS 2.0 is Emerging — Daniel got there on day three of the event and noted the conference was densely packed. His observation: enterprises have not gotten the memo from Wall Street that SaaS is supposedly dead. His emerging thesis is that middleware could make a comeback for AI, with companies needing a layer that lets agents work across any infrastructure, any app, and within the rules of their specific business. Pat agrees and adds that the growth question is about mix, not survival. (The Decode) 7. The Flip: Is Anthropic at $1.2 Trillion the Most Important Company in Enterprise Tech? — Daniel took the affirmative citing that Claude Code is deeply entrenched in developer workflows. Anthropic went from $9 billion to $45 billion ARR in months. Every major hyperscaler is both a customer and an investor. The PE JVs are turning verticals into Anthropic engines. Dario said they planned for 10x and got 80x. Pat's counter: the enterprise trust gap is real after what Anthropic pulled on pricing and performance. Microsoft has 2 billion users across 365, Azure, and Copilot. NVIDIA is the infrastructure Anthropic runs on. And workforce replacement, which is how Anthropic extracts its terminal value, is not arriving as fast as the valuation suggests. In reality, both hosts admit their notes looked almost identical. (The Flip) 8. AMD — Lisa Su guided AI data center growth up from 60% to 80%. With OpEx growing 83%, net income up 95%, free cash flow ripping, and CPUs growing at nearly 40% without price increases, Pat reads this as unit market share gains coming soon. Daniel's framing: AMD is now a two-headed juggernaut with CPUs and GPUs for the data center. And Helios has not even started shipping yet. Both hosts take a victory lap for previously calling this one. (Bulls and Bears) 9. Palantir — Triple beat on revenue, EPS, and forward guidance. Rule of 40 at 145%. Government revenue up 84%, 47 deals over $10 million, and the largest guidance raise in the company's history. Daniel's take: Palantir is redefining the category entirely. It's not a software company in the Salesforce or ServiceNow sense. It's technology, plus ontology, plus people, deployed at the deepest layers inside governments and enterprises. Pat adds that the four deployed FTE model lets them stand up AIP POCs within a week, which is why they are winning business at this pace. (Bulls and Bears) 10. ARM — AGI processor demand doubled from $1 billion to $2 billion within 45 days. Record revenue, strong pipeline, royalty growth at 21% for the full year. The stock ripped after hours, then sold the next day when management confirmed only enough supply for $1 billion of that $2 billion demand. Pat's read: 50% CPU market share with hyperscalers at the core level is the most underdiscussed signal on the call. Daniel adds that the worry about ARM competing with its own customer base in custom silicon has been quietly swept away by the sheer volume of compute demand. (Bulls and Bears) 11. Supermicro — A board member allegedly used a hairdryer to remove labels from GPU boxes being shipped to China. Approximately 20% of their revenue has reportedly been illegally shipped to China. They beat on EPS and Q4 guide but missed Q3 revenue versus consensus. Stock still ripped 18%. Daniel's take: if you are selling picks and shovels during a gold rush and you are this messed up, he cannot imagine owning it with the overhang that is building. (Bulls and Bears) 12. Lattice Semi and Coherent — Lattice revenue up 42%, back into growth, guiding to 50% year-on-year at midpoint. The AMI acquisition at $1.65 billion doubles their serviceable market from $6 billion to $12 billion and puts them inside every AI server on the planet at the BIOS and platform firmware layer. Pat calls the timing right: core financials crushing it, time to make a move. Coherent printed 21% year-on-year growth, 55% EPS growth, margins expanding, debt coming down, entered the S&P 500, and sits at the center of the co-packaged optics trend that is accelerating. Pat's choke point note: Indium phosphide capacity is the constraint. Six-inch fabs are doubling capacity in 2026, a quarter ahead of plan, and competitors are still ramping their transitions. (Bulls and Bears) Want the full breakdown from IBM Think and ServiceNow Knowledge, and check out our on-the-ground coverage linked in the show notes. Be part of our community. Hit that subscribe button and let us know what you want us to cover next week in the comments. Intro Pat on Stage at IBM Think https://x.com/PatrickMoorhead/status/2051381046537601101?s=20 The Decode OpenAI and Anthropic Both Launch PE-Backed Enterprise Services JVs on the Same Day — The Palantir FDE Model Goes Mainstream https://www.bloomberg.com/news/articles/2026-05-04/openai-finalizes-10-billion-joint-venture-with-pe-firms-to-deploy-ai https://techcrunch.com/2026/05/04/anthropic-and-openai-are-both-launching-joint-ventures-for-enterprise-ai-services/ https://www.semafor.com/article/05/04/2026/openai-anthropic-ramp-up-enterprise-push Anthropic and SpaceX Sign Massive Compute Deal — Full 300MW / 220,000 GPU Colossus 1 Memphis Data Center Plus Exploration of Multi-Gigawatt Orbital AI Compute https://www.cnbc.com/2026/05/06/anthropic-spacex-data-center-capacity.html https://www.bloomberg.com/news/articles/2026-05-06/anthropic-inks-computing-deal-with-spacex-to-meet-ai-demand https://www.tomshardware.com/tech-industry/artificial-intelligence/musks-spacex-has-rented-out-access-to-its-supercomputers-220-000-nvidia-gpus-and-300-megawatts-of-ai-compute-power-to-rival-anthropic Cerebras Files for $3.5B IPO at $26.6B Valuation — The First Major AI Chip IPO of 2026 https://www.cnbc.com/2026/05/04/cerebras-ipo-ai-chipmaker.html https://theaiinsider.tech/2026/05/06/cerebras-systems-eyes-3-5b-in-largest-tech-ipo-of-2026-on-strength-of-ai-chip-demand/ https://www.briefs.co/news/ai-chipmaker-cerebras-just-filed-for-a-3-5-billion-ipo/ NVIDIA an

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  4. May 4

    The Most Consequential Week in AI Infrastructure History | Ep. 303

    This week: four hyperscalers reported earnings on the same day, NVIDIA briefly crossed $5 trillion in market cap, OpenAI broke Azure exclusivity, and Google put $40 billion into Anthropic. Patrick Moorhead and Daniel Newman call it the most consequential week in AI infrastructure history and suggest the bull thesis just got its vote of confidence. The handpicked topics for this week are: OpenAI Breaks Azure Exclusivity — Both Patrick and Daniel were in the room for the original OpenAI-Microsoft announcement, and they both knew it wasn't the end of the story, it was just the beginning. The restructured deal keeps Microsoft on IP rights through 2032 and a guaranteed 20% revenue share through 2030, but the AGI trigger clause that would have ended payments is gone. The very next day OpenAI went live on AWS, the first non-Microsoft hyperscaler to carry it. Dan's read: model companies need more compute than any one hyperscaler can offer, and every hyperscaler needs access to all the models. Nobody wins with exclusivity anymore. (The Decode) Google Puts $40 Billion Into Anthropic — Pat spells it out: Anthropic just became AI's first joint custody child, with Amazon and Google as the parents and a $73 billion college fund. Google, which already had stakes in Anthropic and SpaceX, posted a $37 billion investment gain in a single quarter solely from valuation improvements, and now holds dual hyperscaler structural backing for Anthropic that Pat says OpenAI simply can't match. Daniel's thesis lands again: models are not the moat. Compute is the moat. Everybody is figuring that out now. (The Decode) The CPU War Is On: Meta Goes to AWS for Graviton — Meta recently secured a multi-year, multi-billion dollar Graviton agreement with AWS after being caught off-guard regarding both compute resources and models. Andy Jassy noted that demand was so high he had to decline two customers who sought to purchase his "entire Graviton capacity." During his victory lap, Pat highlighted a significant shift in agentic workloads: the CPU-to-GPU ratio has plummeted from 16-to-1 to nearly 2-to-1, with some cases already reaching 1-to-1 parity. The CPU war is the story nobody saw coming fast enough, including AMD and Intel. (The Decode) OpenAI 5.5 Review: Shows Promise, But Not Amazing — Daniel tested the new model and shared his take: not blown away but not unhappy either. Pat moved some workloads back to test it and liked what he found, particularly on research. The 38% reduction in reasoning-intensive tasks is the ROI answer OpenAI has right now. But both hosts flag the bigger question: What happens when token subsidies end and real agentic workflow costs hit the tape? That is the moment that opens the door for open source, small models, and enterprise-specific deployments. The model moat, Dan says for the third time this episode, "just does not exist anymore." (The Decode) China AI and the Open Source Question — Daniel went long on this in a live CNBC stream and brings the sharpest take to the show: serious US companies are not going to scale their products on Chinese models. He predicts it will play out like TikTok, regionally distributed to markets with lower concern about data sovereignty. Pat's hedge: open source is a legitimate pressure valve on frontier model pricing, but only if Chinese labs aren't stealing IP to get there. If the frontier model companies stop investing because there's no money in it, the whole ecosystem loses. NVIDIA has the clearest opportunity to step in and fill the open source gap without competing with its own customers. (The Decode) The Flip: Is $700 Billion in Hyperscale AI CapEx Delivering Returns Fast Enough? Daniel took the pro stance: Google Cloud at 63% growth, $460 billion in backlog, quarter-over-quarter doubling. Azure at 40%, AWS at 28% fastest growth in 15 quarters. Meta at 33%, fastest growth since 2021, generating $32 billion in operating cash flow in a single quarter. Only 20% of enterprises are using AI and only 2% of consumers. Pat's counter: Microsoft is down 12% year to date despite beating estimates. ServiceNow off 14% after a beat and raise. The market is completely skeptical, and $700 billion in CapEx so Anthropic and OpenAI can crank out $100 billion in revenue is not yet a clean return story. Both hosts admit they agreed on more than they let on. The real question isn't whether companies are spending too much, it might actually be whether they're spending enough. (The Flip) Fed Holds, 8-4 Vote — In a macro look at the markets, hosts report that the Fed held rates steady, with the most dissents since October 1992. Pat's read: it means nothing for the tech trade right now but is a re-rating of the discount rate long term. Daniel thinks cuts are still coming because housing is stalled and nothing else moves the broader economy without it. Confirmation of the new Fed chair is something to watch. (Bulls and Bears) NVIDIA Crosses $5 Trillion — Daniel called it, and it happened faster than he thought was realistic, just like $2, $3, and $4 trillion before it. A $5 trillion market cap is a market verdict on supply constraint and demand visibility. His position remains: every estimate of the AI market between now and 2030 is too low because nobody has the gall to estimate what exponential scale actually looks like. (Bulls and Bears) Microsoft, AWS, and Google Cloud Earnings — The cloud race is heating up with Google Cloud leading at 63% growth, while Azure hit 40% and AWS saw its fastest expansion in 15 quarters at 28%. Pat points to Microsoft's massive 700,000-seat Copilot deal with Accenture as a key indicator of its enterprise advantage, noting that businesses prefer established partners over direct labs for AI. Daniel highlights a clear market shift: Google's demonstrated ROI earned investor rewards, whereas Meta faced pushback for increasing CapEx without a defined enterprise revenue stream. In this "hard ROI era," strategic capital allocation is making all the difference. (Bulls and Bears) Samsung, Apple, and Qualcomm — Samsung has transitioned from facing negative gross margins to becoming a premier global profit leader. In Pat's view, this surge represents a long-awaited correction following years of intense pricing pressure. SK Hynix and Micron are similar beneficiaries and Daniel has been pounding the table on Micron for a reason. Apple beat solidly everywhere, proved the iPhone 17 cycle is real, blew up the China headwind argument, and grew services to an all-time high at $31 billion. The episode closes on a high note with Qualcomm hitting a major milestone: a hyperscaler is now leveraging their AI silicon, with material impact expected in 2027. As Pat noted in his summary tweet, the short sellers are definitely feeling the heat right now. (Bulls and Bears) Want the full breakdown? Be a part of our community. Hit that subscribe button on our Youtube channel!   The Decode OpenAI Breaks Azure Exclusivity — Models, Codex, and Managed Agents Now on AWS https://www.businessinsider.com/openai-microsoft-partnership-agreement-changes-cloud-providers-agi-2026-4 https://openai.com/index/openai-on-aws/ Google Commits Up to $40B in Anthropic — AI Lab Capital Concentration Reaches Historic Scale https://futurumgroup.com/insights/anthropics-gigawatt-scale-tpu-deal-with-broadcom-creates-a-structural-advantage/ https://tech-insider.org/google-40-billion-anthropic-investment-tpu-compute-2026/ https://x.com/danielnewmanUV/status/2049994186309468408 Meta Signs Multibillion-Dollar Deal for Tens of Millions of AWS Graviton5 Cores — Agentic AI Becomes a CPU Story https://about.fb.com/news/2026/04/meta-partners-with-aws-on-graviton-chips-to-power-agentic-ai/ https://www.aboutamazon.com/news/aws/meta-aws-graviton-ai-partnership https://www.geekwire.com/2026/meta-signs-multibillion-dollar-deal-to-use-amazons-graviton-chips-for-agentic-ai/ OpenAI Releases GPT-5.5 — New Intelligence Tier for Agents, Coding, and Research https://www.cnbc.com/2026/04/23/openai-announces-latest-artificial-intelligence-model.html https://community.openai.com/t/gpt-5-5-is-here-available-in-the-api-codex-and-chatgpt-today/1379630 The China AI Pricing Divide — DeepSeek, Kimi, and Open-Weight Chinese Models Running at Fractions of OpenAI/Anthropic Cost https://www.youtube.com/watch?v=UjdFa1eyIWI https://artificialanalysis.ai/models/deepseek-v4 https://the-decoder.com/kimi-k2-pricing-vs-openai-anthropic/ https://venturebeat.com/technology/deepseek-v4-arrives-with-near-state-of-the-art-intelligence-at-1-6th-the-cost-of-opus-4-7-gpt-5-5 The Flip With Alphabet, Microsoft, and Meta All Reporting Earnings Today — Is the $500B+ Hyperscaler AI Capex Cycle Delivering Returns Fast Enough to Avoid a Reckoning? FOR: Google Cloud at 27% margin and $35B+ quarterly revenue pace is proof the cycle pays https://www.spglobal.com/market-intelligence/en/news-insights/research/2026/04/alphabet-earnings-preview-q1-2026 Meta's $115-135B capex is being funded by 31% revenue growth — not debt https://tickeron.com/blogs/meta-platforms-meta-q1-2026-earnings-preview-31-revenue-growth-in-sight-12881/ Nvidia's $5T market cap and $1T+ in forward order visibility confirms demand is not slowing https://www.cnbc.com/2026/04/27/nvidia-just-hit-an-all-time-high-why-some-think-a-rally-is-just-getting-started.html AGAINST:  Microsoft is down 12% YTD despite beating estimates last quarter — the market is skeptical https://www.geekwire.com/2026/microsoft-earnings-preview-after-a-357-billion-wipeout-tech-giant-gets-another-chance/ ServiceNow -14% after a beat-and-raise is the most important AI earnings signal of the week https://www.cnbc.com/2026/04/22/servicenow-now-earnings-q1-2026.html Meta just raised 2026 capex to $125-145B and shareholders punished the stock for it — the market is pricing in a payback timing problem https://finance.yahoo.com/

    52 min

  5. Apr 25

    Google Cloud Goes Full Stack, Amazon's $100B Anthropic Bet, Intel's Foundry Moment & More

    Patrick Moorhead and Daniel Newman break down a massive week in enterprise tech, from Google Cloud Next's full-stack AI push and Amazon's $100 billion Anthropic commitment, to Apple's leadership transition and Intel's long-awaited foundry validation courtesy of Elon Musk. The handpicked topics for this week are: Google Cloud Next 2026: Full-Stack AI and New TPUs — Google Cloud Next has cemented itself as the second-biggest AI event on the calendar, with Thomas Kurian declaring the proof-of-concept era over and enterprises now in full production mode with agents. Google unveiled two next-generation TPUs (the 8i for training and the 8t for high-throughput inference) and reinforced its full-stack differentiation from infrastructure through Gemini Enterprise Workspace. (The Decode) Google's Agentic Security and MCP Push — Google made a significant move into agentic security, combining Wiz and Mandiant into what Pat calls a sleeper announcement of the show. Google also committed to placing MCP servers across all of its data surfaces, meaning even non-Google platforms can tap into Google data without full lock-in. (The Decode) Google Distributed Cloud and On-Prem Agentic Orchestration — Google took the biggest first step Patrick has seen toward a true agentic orchestrator that spans on-prem enterprise and public cloud through progress on Google Distributed Cloud. No other company has yet attempted cross-environment agent coordination at this level. (The Decode) Amazon's $100 Billion Anthropic Commitment — Amazon formalized a commitment of up to $100 billion into Anthropic, including five gigawatts of Trainium capacity, making it the largest non-NVIDIA silicon commitment in history. Anthropic's valuation crossed $1 trillion just weeks after a $350 billion raise, a pace that has left even veteran analysts searching for new language. (The Decode) Adobe Summit 2026: Enterprise Agents and Jensen's Endorsement — Jensen Huang took the stage at Adobe Summit to deepen the NVIDIA-Adobe partnership, calling agentic workflows the new front end for SaaS rather than a replacement for it. Adobe reported $250 million in Firefly ARR and 45% quarter-over-quarter growth in agentic tool usage, yet the stock continued to disappoint investors expecting hypergrowth multiples. (The Decode) Apple's New CEO: John Ternus and Tim Cook's Legacy — Apple named John Ternus as its fourth CEO, closing the book on Tim Cook's 15-year tenure marked by custom silicon success, services expansion, and operational excellence, alongside misses in Vision Pro, the abandoned car project, and Siri's failure to become the AI front end it should have been. Ternus is a continuity hardware candidate, and the most consequential decision may prove to be keeping Johny Srouji over all of hardware. (The Decode) Intel Foundry: Elon Musk, TerraFab, and 14A Validation — One day before Intel's earnings print, Elon Musk publicly confirmed TeraFab will use Intel's 14A process, delivering the first verifiable public wafer commitment on that node. Intel then reported a 23% stock surge, 22% data center growth, and EPS of $0.29 against a $0.01 street consensus. (The Decode) The Flip: TSMC vs. Semiconductor Equipment Makers — Pat and Dan take hard opposing stances on who holds more power in the AI supply chain: TSMC with its control of over 90% of advanced AI silicon and irreplaceable process expertise, or the equipment oligopoly of ASML, Applied Materials, LAM, and KLA without whom no leading-edge fab can operate. The real answer, they conclude, is deep interdependence, though TSMC's combination of talent and leading-edge control gives it outsized leverage today. (The Flip) Intel — Intel's earnings were a blowout across the board, with data center up 22%, EPS of $0.29 versus a $0.01 estimate, and guide raised, driven by CPU price increases, customer pull-ins, and packaging volume growth. Hosts discuss whether the stock at current levels is pricing in foundry revenue that has barely begun to materialize on the tape. (Bulls and Bears) GE Vernova and Vertiv — GE Vernova posted a beat on revenue and EPS with orders up 71% organically and a $163 billion backlog, while Vertiv reported sales up 30% and raised forward guidance to $14 billion. Both companies reflect the acute power infrastructure demand tied to data center buildout, with Patrick noting their growth was likely already baked into share prices heading into the print. (Bulls and Bears) ServiceNow — ServiceNow beat across the board with a Rule of 57 growth result and AI run rate up to $1.5 billion, 50% above its prior target, though margin headwinds from three acquisitions and on-prem impacts from the Middle East conflict weighed on sentiment. Daniel argues the market has not yet accepted that workflow automation at enterprise scale will not be replaced by vibe-coded alternatives. (Bulls and Bears) IBM — IBM posted a triple beat with Red Hat up 13%, software up 11%, and Z mainframe up 48%, the latter driven in part by AI-assisted COBOL modernization tools making the platform newly relevant. The stock slid after hours despite the results, continuing a pattern Patrick describes simply as silly season for enterprise infrastructure names. (Bulls and Bears) SAP — SAP beat on revenue and earnings with cloud revenue up 19%, cloud backlog up 20%, and total backlog up 25%, reinforcing that enterprise ERP customers are not moving away from core platforms. Daniel and Patrick agree this is another data point showing enterprises are building AI on top of existing software stacks, not tearing them out. (Bulls and Bears) The Decode Google Cloud Next 2026 — TPU 8 Dual-Architecture and the Agentic Enterprise Stack https://cloud.google.com/blog/topics/google-cloud-next/welcome-to-google-cloud-next26 https://oplexa.com/google-cloud-next-2026/ https://www.itpro.com/cloud/cloud-computing/google-cloud-next-2026-googles-unique-advantages https://thenextweb.com/news/google-inference-chips-nvidia-challenge-supply-chain Amazon Commits Up to $25B More in Anthropic; $100B+ AWS Commitment in Return https://www.cnbc.com/2026/04/20/amazon-invest-up-to-25-billion-in-anthropic-part-of-ai-infrastructure.html https://www.nytimes.com/2026/04/20/technology/amazon-anthropic-investment.html https://www.geekwire.com/2026/amazon-doubles-down-on-anthropic-with-25b-investment-mirroring-its-openai-cloud-deal/ https://futurumgroup.com/insights/anthropics-gigawatt-scale-tpu-deal-with-broadcom-creates-a-structural-advantage/ Adobe Summit 2026 — CX Enterprise, Creative Agent, and Jensen Huang Onstage https://www.cxtoday.com/ai-automation-in-cx/adobe-summit-2026-cx-announcements/ https://www.cmswire.com/digital-experience/nvidia-ceo-jensen-huang-told-the-saas-world-agentic-is-here-adobe-was-listening/ https://www.techradar.com/pro/live/adobe-summit-2026 https://futurumgroup.com/insights/will-adobes-brand-visibility-solution-rewrite-the-rules-of-ai-driven-customer-experience/ https://www.linkedin.com/posts/patmoorhead_adobesummit-googlecloudnext-ai-activity-7451754772128514048-0BwK Apple CEO Transition — Tim Cook to Executive Chairman, John Ternus to CEO https://www.apple.com/newsroom/2026/04/tim-cook-to-become-apple-executive-chairman-john-ternus-to-become-apple-ceo/ https://www.facebook.com/HBR/posts/on-monday-april-20-2026-apple-announced-that-tim-cook-will-step-down-as-ceo-in-s/1324436846218173/ https://www.apple.com/newsroom/2026/03/introducing-apple-business-a-new-all-in-one-platform-for-businesses-of-all-sizes/ Intel Foundry Lands Tesla for Terafab on 14A — First External 14A Customer, and a Direct Shot at the TSMC Bottleneck https://www.reuters.com/business/autos-transportation/tesla-ceo-musk-says-company-plans-use-intels-14a-process-terafab-2026-04-22/ https://www.trendforce.com/news/2026/04/23/news-intel-tapped-as-tesla-wins-first-14a-customer-spot-in-terafab-push/ https://www.benzinga.com/markets/equities/26/04/51992031/musk-bets-on-intels-14a-process-tesla-stock-falls-on-capex-plans https://www.cnbc.com/2026/04/23/intel-earnings-q1-2026.html The Flip Who has more power in the AI chip supply chain — TSMC (the fabricator) or the equipment companies (ASML, Applied Materials, Lam, KLA)? FOR: TSMC is the single choke point for every leading-edge AI chip in production https://www.cnbc.com/2026/04/16/taiwan-semi-tsm-asml-stock-earnings-ai-chips.html TSMC's pricing power shows up directly in its gross margins — and customer behavior https://leverageshares.com/en-eu/insights/why-asml-and-tsmcs-q1-2026-results-didnt-stir-markets/ TSMC is now a systems integrator — CoWoS packaging is the real moat, not just lithography https://sterlites.com/blog/ai-supply-chain-2026-tsmc-asml-asic AGAINST: ASML is the single point of failure for every advanced node on the planet  https://sterlites.com/blog/ai-supply-chain-2026-tsmc-asml-asic Applied Materials, Lam Research, and KLA control the etch, deposition, and metrology steps every fab needs https://finance.yahoo.com/markets/stocks/articles/dear-lam-research-investors-mark-154010553.html The equipment oligopoly has better margin structure and less concentration risk than TSMC https://www.cnbc.com/2026/04/16/taiwan-semi-tsm-asml-stock-earnings-ai-chips.html Bulls & Bears Intel Q1 2026 — Huge Beat and Q2 Guide Raise; Data Center +22%, Stock +16% After Hours https://www.cnbc.com/2026/04/23/intel-earnings-q1-2026.html https://seekingalpha.com/news/4578382-intel-q1-2026-beat-guidance-raise-stock-surges https://www.nasdaq.com/articles/intel-reports-net-loss-q1-2026 Veritiv & GE Vernova Q1 2026 — AI Power Trade Reports a Massive Beat https://www.investing.com/equities/ge-vernova-llc-earnings https://www.techi.com/ge-vernova-vertiv-ai-data-center/ ServiceNow Q1 2026 — Strong Beat and Raise, But Middle East Deal Delays Crater the Stock https://newsroom.servicenow.com/press-release

    56 min

  6. Apr 20

    Episode 301: Compute Wars, AI Reality Checks, and the Infrastructure Breaking Point

    AI is now an execution race defined by infrastructure. Patrick Moorhead and Daniel Newman break down how compute shortages, energy constraints, and security risks are reshaping the race from building models to actually running them at scale. From chip supply and hyperscaler strategy to AI-native security and the growing case for regulation, this episode maps the pressure points defining what it really takes to turn AI investment into production reality. Handpicked Topics Include: Meta, Broadcom, and the Reality of the Compute Shortage — Meta's multi-year MTIA partnership with Broadcom reinforces a critical truth, there is no surplus compute. Hyperscalers are simultaneously investing in NVIDIA, AMD, ARM, custom silicon, and networking just to meet demand. The discussion breaks down why "compute deficiency" is now the defining constraint in AI, and why every viable chip, regardless of performance tier, will find a buyer. (The Decode) Anthropic 4.7, Model Degradation, and the Hidden Cost of Scale — The hosts debate performance tradeoffs in Anthropic's latest release, including degraded real-world usability, throttled reasoning quality, and SLA concerns. As token usage increases and compute constraints tighten, model providers are quietly balancing performance against availability, raising questions about reliability for enterprise deployment. (The Decode) Enterprise AI and the Rise of AI-Native Security Architectures — IBM's Autonomous Security platform signals a shift from AI-enhanced tools to fully AI-native security orchestration. As models increase attack surface through agents and prompt injection risks, enterprises must rethink cybersecurity at the system level, not just the application layer. (The Decode) Energy, Not Just Compute, Is the Next Bottleneck — Oracle's partnership with Bloom Energy highlights a parallel constraint, power availability. With data center expansion accelerating, companies are investing in fuel cells, natural gas, and off-grid solutions to sustain AI growth. The discussion makes clear that AI scaling is now equally dependent on energy infrastructure as it is on silicon. (The Decode) Hyperscaler Strategy: Everyone Is Talking to Everyone — Google's reported discussions with Marvell are not an exception, they are the rule. The hosts introduce the principle that every hyperscaler is constantly evaluating every chip partner. With stakes this high, redundancy, diversification, and supplier leverage are mandatory, not optional. (The Decode) The Flip: Should AI Be Regulated as a Public Utility? — One side argues that AI's scale, energy consumption, and societal impact justify utility-style regulation, comparing it to infrastructure like electricity and the internet. With trillion-dollar CapEx commitments and concentration among a few players, the case is made that access and governance will inevitably require oversight. The opposing view warns that premature regulation would lock in incumbents, slow innovation, and weaken global competitiveness, particularly against China. (The Flip) Semiconductor Policy, Tariffs, and Global Leverage — Section 232 semiconductor tariffs emerge as a geopolitical tool rather than pure trade policy. The discussion outlines exemptions, unresolved packaging questions, and how tariffs are being used to influence global supply chains and negotiations with China. (Bulls & Bears) TSMC Signals Unstoppable AI Demand — TSMC's earnings confirm what the market has been debating, AI demand is not slowing. With record margins, increased CapEx, and continued expansion, the company validates long-term infrastructure investment and reinforces that supply, not demand, is the limiting factor. (Bulls & Bears) ASML and the Fragility of the Supply Chain — ASML's performance highlights strong demand but also exposes geopolitical risk, particularly around China restrictions. The conversation expands to include broader supply chain dependencies across equipment makers and the long-term implications of restricting access to advanced manufacturing tools. (Bulls & Bears) Quantum Signals: DARPA, IBM, and the Next Compute Frontier — The episode closes with a look at quantum computing's trajectory, including DARPA contracts and IBM's push toward measurable business value. While still early, quantum is positioned as the next layer of heterogeneous compute that could redefine long-term infrastructure. (Bulls & Bears) The Decode Meta Partners with Broadcom to Co-Develop Custom AI Silicon https://about.fb.com/news/2026/04/meta-partners-with-broadcom-to-co-develop-custom-ai-silicon/ https://247wallst.com/investing/2026/04/14/why-googles-tpu-talks-just-made-marvell-technology-a-must-buy-ai-stock/ https://x.com/danielnewmanUV/status/2044201311915106659 https://x.com/PatrickMoorhead/status/2044180443218546954 https://x.com/PatrickMoorhead/status/2044161631324676401 Anthropic Launches Claude Opus 4.7 Amid Outages and Enterprise Growing Pains https://www.cnbc.com/2026/04/16/anthropic-claude-opus-4-7-model-mythos.html https://aws.amazon.com/about-aws/whats-new/2026/04/claude-opus-4.7-amazon-bedrock/ https://cloud.google.com/blog/products/ai-machine-learning/claude-opus-4-7-on-vertex-ai https://gizmodo.com/anthropic-releases-claude-opus-4-7-to-remind-everyone-how-great-mythos-is-2000747469 https://www.techradar.com/news/live/claude-anthropic-down-outage-april-6-2026 https://help.apiyi.com/en/claude-opus-4-7-release-features-api-guide-en.html IBM Launches Autonomous Security to Defend Against AI-Powered Cyberattacks https://newsroom.ibm.com/2026-04-15-ibm-announces-new-cybersecurity-measures-to-help-enterprises-confront-agentic-attacks Bloom Energy and Oracle Expand to 2.8GW — Fuel Cells Power the AI Data Center Boom https://www.bloomenergy.com/news/bloom-energy-and-oracle-expand-strategic-partnership-to-deploy-up-to-2-8-gw-to-accelerate-ai-infrastructure-build-out/ https://www.cnbc.com/2026/04/13/oracle-expands-bloom-energy-deal-days-after-400-million-stock-warrant.html https://finance.yahoo.com/sectors/energy/articles/bloom-energy-oracle-expand-strategic-210300696.html Google in Talks with Marvell on TPU Development and a Dedicated LLM Inference Chip https://247wallst.com/investing/2026/04/14/why-googles-tpu-talks-just-made-marvell-technology-a-must-buy-ai-stock/ https://x.com/wallstengine/status/2044036448094146733 The Flip: Should AI Be Regulated as a Public Utility? FOR: OpenAI itself said AI should be treated like a utility https://techcrunch.com/2026/04/06/openais-vision-for-the-ai-economy-public-wealth-funds-robot-taxes-and-a-four-day-work-week/ Amazon spending $200B on AI infrastructure proves the utility parallel https://observer.com/2026/04/amazon-andy-jassy-defends-ai-spend/   AGAINST:  Utilities are regulated because they stopped innovating — AI is still accelerating https://hai.stanford.edu/ai-index/2026-ai-index-report Cloudera: Nearly 80% of enterprises say AI is held back by data access  https://www.globenewswire.com/news-release/2026/04/14/3273502/31982/en/Nearly-80-of-Enterprises-Say-AI-Is-Held-Back-by-Data-Access-Challenges-New-Cloudera-Report-Finds.html Bulls and Bears Section 232 Semiconductor Tariff Deadline Passes — What Comes Next?  https://ninescrolls.com/news/section-232-semiconductor-tariff-deadline-arrives-april-14-equipment-makers-brac https://www.whitecase.com/insight-alert/president-trump-orders-narrowly-targeted-25-section-232-tariff-certain-advanced https://www.gibsondunn.com/trump-administration-new-tariffs-on-and-export-licensing-requirements-for-advanced-semiconductors-create-challenging-new-cross-currents-new-opportunities-for-us-manufacturers/ https://x.com/PatrickMoorhead/status/2043432884308992459 TSMC Q1 2026 Earnings: Record Profit, Margins Crush Guidance, AI Demand 'Extremely Robust' https://www.investing.com/news/transcripts/earnings-call-transcript-tsmcs-q1-2026-shows-strong-growth-and-margin-gains-93CH-4617167 https://ca.investing.com/news/stock-market-news/tsmc-q1-net-profit-surges-58-beats-expectations-on-strong-aifueled-demand-4567884 https://www.techi.com/tsmc-q1-2026-earnings-report/ https://finance.yahoo.com/markets/stocks/articles/tsmc-q1-2026-earnings-record-121456920.html ASML Q1 2026: Revenue Beats, Full-Year Guidance Raised — 'Demand Outpacing Supply' https://www.asml.com/en/news/press-releases/2026/q1-2026-financial-results https://www.gurufocus.com/news/8795513/asml-reports-strong-q1-2026-results-with-eur-88-billion-in-sales https://www.cnbc.com/2026/04/15/asml-q1-2026-earnings-report.html https://semiconalpha.substack.com/p/asml-q1-2026-revenue-beat-guidance IonQ Surges 20% on DARPA Quantum Contract — Market Prices In Commercialization https://www.ionq.com/news/ionq-selected-for-darpas-heterogeneous-architectures-for-quantum-harq-program https://www.gurufocus.com/news/8792447/ionq-ionq-secures-darpa-contract-for-quantum-computing-advancement https://economictimes.com/news/international/us/ionq-stock-surges-20-after-bagging-big-contract-heres-all-about-it-and-what-investors-should-know/articleshow/130263057.cms https://www.cnbc.com/video/2026/04/14/ionq-ceo-niccolo-de-masi-on-securing-darpa-contract-and-recent-acquisitions.html https://x.com/danielnewmanUV/status/2044124700586946681

    57 min

  7. Apr 11

    EP 300: Frontier AI Risks, Model Power Shifts, and Market Signals

    Episode 300 marks a milestone moment for The Six Five Pod as AI shifts from innovation to consequence. This week, Patrick Moorhead and Daniel Newman unpack the risks of frontier models, the growing complexity of AI deployment, and the market signals that reveal where tech is heading next. The handpicked topics for this week are: The Frontier Model Arms Race: Anthropic Mythos + OpenAI Spud — Frontier models are advancing beyond controlled testing environments, exposing real-world vulnerabilities across operating systems and enterprise infrastructure. The hosts examine how rapidly increasing model capability is colliding with security readiness, and what this escalation means for competition across leading AI labs. (The Decode) Controlled Release and the Emergence of Gated AI Deployment Models — Anthropic's decision to limit access to Mythos reflects a broader shift toward security-first deployment strategies. Rather than prioritizing speed to market, companies are beginning to gate access, signaling a transition toward more controlled, compliance-aware AI rollouts. (The Decode) Meta's AI Offensive: Muse Spark Launches — Meta's first reasoning model from its Superintelligence Labs is now live across its consumer ecosystem, giving the company a direct distribution advantage while signaling that its infrastructure spending is beginning to translate into frontier-level model output. The hosts unpack what Muse Spark means for reasoning, multi-modal use cases, and the pressure it could put on closed-model pricing. (The Decode) Intel Joins Musk's 'Terafab' Mega-Project — Intel's involvement in Terafab gives real weight to its foundry comeback narrative and opens up a larger conversation about who will actually build tomorrow's AI manufacturing infrastructure. More than just a partnership, this could determine whether Intel becomes a central player in the next generation of AI chip production. (The Decode) Intel in Talks with Google and Amazon on Advanced Packaging — Advanced packaging is becoming a strategic layer in AI infrastructure as chiplets, memory, and interconnect design grow more complex. Pat and Dan unpack how Intel's reported talks with Google and Amazon suggest the company is moving beyond wafers and deeper into the system integration layer that hyperscalers increasingly need. (The Decode) Intel and SambaNova Launch Heterogeneous AI Inference Architecture — Intel and SambaNova are pairing GPUs, RDUs, and Xeon 6 CPUs into a heterogeneous inference blueprint aimed at demanding agentic AI workloads. The conversation focuses on why this matters for enterprise, sovereign, and cloud deployments, and how it reinforces Intel's effort to stay central in an increasingly mixed-compute future. (The Decode) Maine's Data Center Ban: Maine's proposed freeze on large data center construction turns infrastructure buildout into a political and local governance fight. The hosts connect this story to the broader backlash against AI infrastructure, making the point that land, water, energy, and community consent are becoming real constraints on hyperscaler ambition. (The Decode) Broadcom + Google + Anthropic Lock in Gigawatt-Scale TPU Capacity — This deal shows compute is no longer being treated like an on-demand utility. It's being secured like strategic infrastructure. Pat and Dan break down how gigawatt-scale TPU capacity, custom silicon collaboration, and Google's expanding role in the stack reshape the competitive map for frontier AI. (The Decode) Is AGI Really Here, Or Is This the Best Marketing in Tech History? — The debate on The Flip this week centers on whether Anthropic's Mythos behavior and OpenAI's claims around Spud signal a true AGI threshold, or whether the labs are using selective disclosures, gated releases, and ambitious framing to shape market perception before the technology actually meets a general intelligence standard. (The Flip) Iran Ceasefire Triggers $1.5 Trillion Relief Rally — Announcement of a fragile ceasefire drove one of the biggest market relief rallies of the year, while oil reversed sharply and investors rushed back into risk. The segment looks at what this says about geopolitical sensitivity, supply chain exposure, and how quickly macro conditions can reshape market sentiment. (Bulls & Bears) April 14 Semiconductor Tariff Deadline: The AI Supply Chain's Moment of Truth — With the Section 232 deadline approaching, the market is watching whether semiconductor tariffs are extended, softened, or escalated. Pat and Dan frame this as a major supply chain and pricing question that could affect chip economics, sovereign AI buildouts, and infrastructure costs across the rest of 2026. (Bulls & Bears) Samsung Q1 Guidance Signals Continued AI Memory Boom — Samsung's guidance reinforces the idea that the AI infrastructure cycle is still driving massive memory demand. The hosts use the company's quarterly results to read through pricing, margin recovery, and discuss whether the current memory upcycle is a short-term squeeze or part of a more durable AI supercycle. (Bulls & Bears) The Decode Anthropic Mythos https://www.businessinsider.com/anthropic-mythos-latest-ai-model-too-powerful-to-be-released-2026-4 OpenAI Spud https://happycapyguide.com/blog/openai-gpt-55-spud-pretraining-complete-agi-leap-2026 Meta Launches Muse Spark Reasoning Model https://www.bloomberg.com/news/articles/2026-04-08/meta-debuts-first-ai-model-from-prized-superintelligence-group Intel Joins Musk's Terafab Mega-Project https://www.reuters.com/business/autos-transportation/intel-join-musks-terafab-mega-ai-chip-project-2026-04-07/ Intel in Talks with Google and Amazon on Advanced Packaging https://www.tomshardware.com/tech-industry/semiconductors/intel-reportedly-in-talks-with-google-and-amazon-over-advanced-packaging Intel and Sambanova Launch Heterogenous AI Inference Architecture https://sambanova.ai/press/sambanova-announces-collaboration-with-intel-on-ai-solution Maine's Lawmakers Propose Data Center Moratorium https://www.wsj.com/us-news/maine-data-center-ban-e768fb18 Broadcom + Google + Anthropic Lock in Gigawatt-Scale TPU Capacity https://www.anthropic.com/news/google-broadcom-partnership-compute The Flip Is AGI Really Here — or Is This the Best Marketing in Tech History? FOR: https://www.businessinsider.com/anthropic-mythos-latest-ai-model-too-powerful-to-be-released-2026-4 https://www.youtube.com/watch?v=J6vYvk7R190 AGAINST: https://techcrunch.com/2026/04/07/anthropic-mythos-ai-model-preview-security/ Bulls and Bears Iran Ceasefire Triggers $1.5 Trillion Relief Rally https://fortune.com/2026/04/08/markets-sp-trump-truce-ceasefire-iran-war-rally-strait-of-hormuz/ https://www.cnbc.com/2026/03/30/stock-market-today-live-updates.html April 14 Semiconductor Tariff Deadline: The AI Supply Chain Moment of Truth https://www.whitehouse.gov/presidential-actions/2026/01/adjusting-imports-of-semiconductors-semiconductor-manufacturing-equipment-and-their-derivative-products-into-the-united-states/ https://www.z2data.com/insights/the-section-232-semiconductor-tariff-explained Samsung Q1 Guidance Signals Continued AI Memory Boom https://news.samsung.com/global/samsung-electronics-announces-earnings-guidance-for-first-quarter-2026 https://www.reuters.com/sustainability/sustainable-finance-reporting/samsung-flags-eight-fold-jump-q1-profit-ai-chip-demand-drives-up-prices-2026-04-06/ https://www.wsj.com/tech/samsung-forecasts-record-first-quarter-operating-profit-d85414ac

    1h 2m

  8. Apr 6

    EP 299: OpenAI's $122B Raise, Google's TurboQuant Shock, and NVIDIA's Infrastructure Endgame

    OpenAI locks in the largest private funding round in history, Google disrupts memory economics with a major efficiency breakthrough, and NVIDIA continues to consolidate control over AI infrastructure. This week, Patrick Moorhead and Daniel Newman unpack the clear shift from model competition to full-stack execution. 🔹 OpenAI closes a record $122B funding round: AI is being reframed as global infrastructure, but the raise puts new scrutiny on capital efficiency, burn rate, and long-term sustainability (The Decode) 🔹 Google's TurboQuant breakthrough: A major memory compression advance shakes chip markets and reignites the debate: Does efficiency reduce chip demand, or accelerate total AI deployment? (The Decode) 🔹 Microsoft Copilot's multi-model orchestration: The hosts break down how their recent announcement shifts enterprise priority from model selection to real-time simultaneous multi-model coordination (The Decode) 🔹 NVIDIA & Marvell Partnership: NVIDIA continues extending its reach beyond compute into interconnect and the broader data center stack (The Decode) 🔹 IBM and Arm push heterogeneous compute forward: The two companies signal a move toward dual-architecture enterprise environments, accelerating the shift toward heterogeneous compute as the default AI infrastructure model (The Decode)  🔹Is Multi-Model AI the End of Vendor Lock-In? Or a New Kind of Complexity Trap? Multi-model AI promises flexibility and less dependence on a single vendor, but it may just shift lock-in up the stack. Pat & Dan tackle both sides of the question around whether orchestration platforms become the new gatekeepers (The Flip) 🔹 The Magnificent 7 posts its worst quarter since 2022: Pat & Dan reflect on this and raise broader questions about AI capex pressure, geopolitical risk, and valuation resets across big tech (Bulls and Bears) 🔹 Intel Fab 34 buyback: A signal of confidence in Intel's manufacturing roadmap and capital position (Bulls & Bears) 🔹 Salesforce authorizes $25B buyback: A major vote of confidence in enterprise software during a broader selloff (Bulls & Bears) 🔹 Cybersecurity insider buying: Palo Alto Networks' CEO purchase reinforces security as one of the most resilient spending categories in tech (Bulls & Bears)   The Decode OpenAI closes a record $122B funding round https://www.bloomberg.com/news/articles/2026-03-31/openai-valued-at-852-billion-after-completing-122-billion-round https://letsdatascience.com/news/openai-secures-122-billion-funding-valued-852-billion-fbfb42b8 Google's TurboQuant breakthrough https://www.cnbc.com/2026/03/26/google-ai-turboquant-memory-chip-stocks-samsung-micron.html Microsoft Copilot's multi-model orchestration https://www.engadget.com/ai/microsofts-research-assistant-can-now-use-multiple-ai-models-simultaneously-154558628.html NVIDIA & Marvell Partnership https://nvidianews.nvidia.com/news/nvidia-ai-ecosystem-expands-as-marvell-joins-forces-through-nvlink-fusion IBM and Arm push heterogeneous compute forward https://seekingalpha.com/news/4571907-ibm-arm-partner-on-enterprise-computing https://x.com/PatrickMoorhead/status/2039752754373992838?s=20 The Flip Debate on Multimodal AI & Vendor Lock-in FOR: https://fortune.com/2026/03/31/microsoft-revamps-copilot-with-anthropic/ https://www.businesswire.com/news/home/20260331852760/en/Wing-Venture-Capital-Releases-Eighth-Annual-Enterprise-Tech-30-List-Marking-the-Year-AI-Agents-Moved-from-Demo-to-Production AGAINST: https://www.constellationr.com/insights/news/microsoft-365-copilots-researcher-agent-goes-multi-model Bulls and Bears Intel Fab 34 buyback https://www.bloomberg.com/news/articles/2026-04-01/intel-intc-to-pay-14-billion-to-buy-back-apollo-apo-stake-in-ireland-plant https://www.cnbc.com/2026/04/01/intel-stock-ireland-stake-chip-factory.html Mag 7 Performance Slips https://articles.stockcharts.com/article/mag-7-malaise-what-big-tech-slide-means-for-sp500/ Salesforce authorizes $25B buyback http://markets.chroniclejournal.com/chroniclejournal/article/marketminute-2026-3-31-salesforce-insiders-signal-defiant-optimism-with-massive-share-purchases-amidst-saaspocalypse https://www.investing.com/news/stock-market-news/wednesdays-insider-activity-salesforce-director-buys-the-dip-93CH-4570718

    50 min
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4
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About

Leading global tech analysts Patrick Moorhead (Moor Insights & Strategy) and Daniel Newman (Futurum Research) are front and center on The Six Five analyzing the tech industry's biggest news each and every week and also conducting interviews with tech industry "insiders" on a regular basis.

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