Episode 50 lands in a strange tape. Google grew its cloud business 82% and the stock got sold anyway, and Daniel Newman and Shay Boloor spend the show on what that selling actually means for everyone holding the AI trade. The guys go deep on Alphabet's print: a $25 billion cloud quarter growing 82% with 36% operating margins, a $15 billion capex raise, and the earnings math behind Shay's call that Google is "a great business, bad investment" until EPS clears $20 again in 2029. Nvidia at 18x earnings gets the other side of that trade. From there it's the $11.7 trillion cumulative AI capex bull case through 2030, TSMC raising capex $8 billion in a quarter while flagging a bigger 2027, Intel's blowout on server CPU pricing and Shay's rule that INTC has to prove an external foundry customer to earn its price above $100, Tesla converting record deliveries into a 1% operating margin, Micron and the HBM demand curve the market keeps mispricing, and IREN's $2.8 billion AI cloud contract with roughly half the GPU capex prepaid by customers. Plus SpaceX lockup math and entry levels, Meta at 18x with Shay's $1,200 thesis, and Jensen Huang joining X mid show. The back half is all viewer Q&A: ServiceNow as the benchmark for AI software, Shay's tier one and tier two software framework, whether Meta is the best Mag 7 buy right now, IREN position sizing, and the drone bucket ahead of the Anduril IPO. The show is live every Friday. If you're tracking AI infrastructure or trading this earnings season, bring your tickers and questions to the chat and the guys will take them on air. If this one helped you make sense of the tape, a like genuinely helps the show reach more investors. Subscribe and hit the bell so you catch the next live, and come argue with Shay about NVDA at $100 in the comments.

MU at 6x earnings, NVDA at 18x, and SK Hynix listing 3x oversubscribed on NASDAQ. The memory selloff heading into the listing looked like a fundamentals problem. It wasn't. Daniel Newman sat down with the SK Group chairman on listing day. Shay Boloor walked through exactly why Micron is his cleanest memory entry right now, why NVIDIA has become the capital-safety trade in a volatile market, and where the Mag 7 relative value actually sits heading into the second half. Tickers covered: MU, NVDA, SKHYF, META, MSFT, PLTR, SNOW, DDOG, NOW, CRWD, PANW, DELL, OKLO, BE, GEV, ASTS, RKLB, HIMS, OSCR, SHOP, ADBE, CRM, SAP, AMD. Key data points from this episode: Futurum Equities $155 price target on MU. Futurum 2027 AI-only CapEx forecast of $1.44T. BofA projecting NVIDIA at 65-70% share of AI CapEx. Software names up roughly 50% off April 2025 lows. SK Hynix IPO 3-4x oversubscribed with 30-50% listing-day run risk flagged. 00:00 Intro and SK Hynix US listing context 00:43 SK Hynix NASDAQ debut and Daniel's chairman sit-down 02:14 MU price target, memory rankings, and tariff advantage 07:48 Why geopolitics won't stop AI CapEx 08:14 NVDA as the return-to-safety trade at 18x earnings 10:06 BofA NVDA revenue projection and AMD's role 11:48 Futurum 2027 AI infrastructure CapEx forecast 12:33 NVDA CPU business and Jensen's neo-cloud strategy 14:35 Bottleneck bros valuation gap: NVDA at 18x, MU at 6-8x 15:50 NVIDIA as the T-bill 19:24 META as second-best Mag 7 opportunity 20:03 MSFT at roughly 20% undervalued with $100/share upside 30:08 RKLB, HIMS, and OSCR portfolio moves 32:52 Software up 50% from April lows, rotation dynamics 34:17 Top four AI software winners: PLTR, SNOW, DDOG, SHOP 35:24 ETR survey data flagging enterprise softness risk 37:38 CRWD and PANW both post best quarters in company history 38:07 Daniel on SaaSPocalypse and the era of abundance 39:35 ADBE, CRM as system-of-record value plays 41:00 DELL up 4x YTD but 17% gross margins limit the case 42:44 OKLO down from $200 to $46, Stage 4 breakdown flagged 44:00 BE and GEV as behind-the-meter power plays 46:47 SAP vs PLTR as business AI platforms 49:12 ASTS as the pure space connectivity play 54:20 Samsung profitability data point 54:55 SK Hynix listing bag-holder risk for chasers 56:11 MU near 50-day SMA as re-entry setup #FuturumEquities #DanielNewman #ShayBoloor #AI #Investing #Markets

PLTR, MU, META compute leasing, and the software bounce: Shay added to Palantir in the $115 range as Alex Carp's CNBC interview reframed the proprietary data moat, and every Future 15 software pick turned green in the same week. This episode covers why the application and data layer sits above frontier model companies as the durable AI winner, what META leasing 500 megawatts of excess GPU capacity actually means for neo clouds like NBIS and CRWV, and why the hosts think that sell-off was overdone. Futurum's price target on MU sits at $155 with street highs above $200. MSFT announced a $2.5B forward-deployed AI joint venture. AWS raised GPU rental prices 20%. OpenAI giving 5% equity to the US government gets called out as pure IPO valuation mechanics, not patriotism. The memory trade, physical AI sensing plays, and the AI CapEx prisoner's dilemma all get full treatment in the back half. Tickers covered: PLTR, MU, META, MSFT, NVDA, SNOW, NOW, CRM, ADBE, ORCL, NBIS, CIFR, WULF, CRWV, ASTS, AXON, AMBA, AVAV, KTOS, ACHR, JOBY

Daniel Newman and Shay Boloor are live on The Futurum Equities Podcast, breaking down how and why the Fed just handed the market a regime change disguised as a hold. If you're running any AI or tech exposure right now you need to understand what actually happened. The Fed kept rates at 3.5% to 3.75%, but that's the least interesting part of the decision. The dot plot median shifted to 3.8% year-end, nine of eighteen officials are now projecting a 2026 hike, and the cutting-bias language got stripped from the statement entirely. The 2-year Treasury confirmed it immediately, jumping 14 basis points to 4.153%. That's the bond market telling you this is structural. For NVDA, MSFT, META, GOOGL, AMZN, and PLTR, which are all priced on multi-year earnings streams, a higher discount rate compresses multiples even when the fundamentals don't change. Daniel and Shay will pressure-test each name against that reality. The hyperscaler capex commitments are also load-bearing: META guided $125 to $145 billion, MSFT is at $120 billion-plus, AMZN is at $200 billion, and GOOGL is at $175 to $185 billion. That contracted demand flows through to NVDA's data-center segment regardless of where the 2-year goes.

SpaceX debuted at a $2T valuation, 4x oversubscribed, and the largest IPO in history. While the market chased the narrative, NVDA fell 15% from its May highs and ARM ran. Shay closed the ARM position and rotated into NVDA at roughly $200, targeting $300 on a 24-25x earnings multiple. That's the trade the episode is really about.

We break down the SpaceX IPO valuation case, why Shay sees the entry as questionable despite loving the business, and what the proxy-chasing dynamic says about where the real AI infrastructure opportunity sits right now. Oracle's OCI transition gets a full breakdown too: a $638B backlog that is larger than Amazon, Microsoft, and Google combined, but mid-teens margins against hyperscaler margins of 30-50% that explain exactly why the market is skeptical on conversion. We close with rapid-fire coverage across drone defense, AI networking names including AVGO, MRVL, ANET, COHR, and CREDO, and the power infrastructure trade with GEV, VRT, Bloom Energy, and Shay's new position in FGNT near $50.

Tickers covered: NVDA, ARM, ORCL, RKLB, ASTS, PLTR, SNOW, MDB, GOOGL, AVGO, MRVL, ANET, COHR, LUMN, CREDO, CSCO, HPE, VRT, GEV, BE, FGNT, MRCY, AVAV, KTOS, TSLA

Disclaimer: This episode is for educational and informational purposes only. Not financial advice. Past performance does not guarantee future results. Do your own research before making investment decisions.

Watch as Shay & Daniel break down Broadcom's 15% post-earnings collapse, NVIDIA's stubborn undervaluation at ~20x forward earnings vs. AMD's 40x and Intel's 60x+, and the dangerous valuation distortions emerging across the AI ecosystem ahead of the SpaceX and OpenAI IPOs.

This episode dissects:

• Why NVIDIA remains the king of the AI infrastructure economy despite market euphoria

• Broadcom's "Uncle Sam of AI" role and why 100B in 2027 revenue wasn't enough

• ARM's $500B market cap exuberance trade vs. NVIDIA's rational pricing

• Snowflake's 34% product revenue reacceleration and data infrastructure separation

• CrowdStrike and Palo Alto as clear AI cybersecurity winners (with valuation caveats)

• HPE's 30% earnings beat and 50% monthly gain via compute & networking dominance

• Zscaler's alarming 10% organic growth deceleration

• The SpaceX $1.75T valuation vs. $800B fair value: $1T of pure exuberance

• Why rate expectations just shifted the entire market narrative • Marvell's 33% jump on Jensen Huang's trillion-dollar comment

Disclaimer: This episode is for educational and informational purposes only. Not financial advice. Past performance does not guarantee future results. Do your own research before making investment decisions.

This week on the Futurum Equities podcast, Shay Boloor and Daniel Newman break down NVIDIA’s massive beat and $91B guidance while the market continues chasing speculative AI small-caps over dominant long-term compounders. The discussion dives into Futurum Equities’ new $10 trillion AI infrastructure thesis, Rolf Bulk’s top semiconductor picks with major upside potential, and why companies like NVIDIA, Broadcom, AMD, TSMC, Micron, and SK Hynix may still be undervalued despite historic growth.

The episode also explores Broadcom’s expanding AI networking dominance, ASML’s long-term EUV bottleneck, Anthropic’s rapid revenue growth, and how a future SpaceX IPO could reset valuations across the AI compute and infrastructure ecosystem. Shay and Daniel explain why volatility is creating opportunity, why “excellence” is being overlooked by the market, and where they see the biggest long-term winners in AI and semiconductors.

This week on the Futurum Group Equities Podcast, hosts Daniel Newman and Shay Boloor break down the latest action across AI, semiconductors, and the broader tech market after another volatile but powerful week for stocks. The conversation dives into the frenzy surrounding the latest AI trade, comparisons between emerging AI players and NVIDIA, and whether valuations across the sector are starting to get overheated.

The duo also discusses investor sentiment, IPO momentum, enterprise AI spending, and key names, including Cisco, Applied Materials, and NVIDIA, as the AI infrastructure race continues to accelerate. From market psychology to long-term AI positioning, this episode covers the biggest narratives driving tech stocks right now.

Subscribe for weekly conversations on AI, semiconductors, enterprise tech, and the future of the market.

Join Daniel Newman and Shay Boloor for a live episode of the Futurum Equities Podcast as they break down the week Bitcoin miners pivoted into AI landlords, the AI capex story the market just priced, and what's at stake going into the $NDA print on May 20. In this episode, Daniel and Shay discuss $IREN's $9.7B Microsoft AI cloud deal, $CIFR's 1GW Texas HPC buildout, $AMD and Palantir's blowout Q1 prints, $725B in 2026 hyperscaler capex, and why the energy bottleneck is becoming the most important moat in AI infrastructure. This livestream is built for investors who want sharp analysis on the AI compute race, the energy bottleneck reshaping infrastructure spend, and the equity stories the broader market is mispricing. Subscribe to Futurum Equities and turn on notifications so you never miss a live market discussion. #FuturumEquities #DanielNewman #ShayBoloor #BitcoinMining #AIInfrastructure #Nvidia

Futurum Equities is back for Episode 40, breaking down another all-time high in the market, the latest hyperscaler earnings, and what the AI infrastructure race means for investors. This week, Shay Boloor and Daniel Newman cover Microsoft, Google, Amazon, Meta, Qualcomm, SoFi, Sandisk, AI compute, cloud demand, edge AI, and the next possible bottlenecks in the AI trade.