Manoj Gujral

Intel Corporation is “going big time into 14A.” This is a strategic credibility move aimed at customers, partners, and investors—not just a technical update. KEY POINTS “Going big time into 14A” is a credibility bid: CEO Lip-Bu Tan is trying to collapse the usual doubt gap between roadmap talk and foundry reality by signaling confidence on the two metrics outsiders care about most: yield trajectory and IP/PDK readiness for customers. The phrasing “serve the customer well” is consistent with Intel’s broader push to be seen as a serious external supplier, not just an internal manufacturer with a services wrapper. The market has already been primed for conditionality: multiple reports highlight Intel leadership publicly tying 14A’s continuation and/or pace to landing a meaningful external customer and meeting milestones—so today’s upbeat tone sits on top of an explicit “prove it” framework. Bottom-line: Intel is attempting to reframe 14A from “ambition” to “inevitability,” while keeping optionality if customer traction doesn’t appear. https://lnkd.in/g6fSxGqb

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The race to build ever-smarter models is colliding with the physical limits of compute, power, and capital. What was once a contest of parameters and benchmarks is now a battle over who can assemble the biggest chip fleets, fastest buildouts, and most favorable power contracts. We’re witnessing the birth of the physical internet of intelligence. In the U.S., three companies lead the AI-industrial buildout: ▪️OpenAI: The Cloud Conductor. OpenAI is the most visibly advanced in the compute race, with 1M+ GPUs projected online by end-2025. Altman is less model builder, more a macro-scale orchestrator - navigating sovereign land deals, hyperscaler partnerships, and infrastructure contracts measured in gigawatts.  OpenAI signed a $30B/year deal with Oracle, locking in 4.5 GW of data center capacity, roughly two Hoover Dams. But Stargate, its much-hyped $500B venture with SoftBank and the Trump admin, has fizzled. No sites closed. One Ohio facility, still in planning, is all that remains. “Stargate” now loosely describes OpenAI’s infra push, but the real action is via Oracle and CoreWeave - not SoftBank. OpenAI doesn’t want to own the land. It wants to control the supply chain. ▪️xAI: Vertical Integration at the Edge of Debt. xAI is doing it Musk-style - building every layer in-house, from chips to power, and moving fast. Colossus 1 went up in 122 days with 100K GPUs. Colossus 2 is underway, targeting 1M. Musk claims 50M H100s in 5 years. But unlike OpenAI, xAI has no cloud partner. Every chip, pipe, and rack is self-financed. To fund this sovereign stack, Musk has layered on debt: $10B in equity/debt, $5B more in bonds backed by Grok and Colossus, $2B borrowed from SpaceX, and a new $12B chip leasing scheme with Valor Equity that turns capex into off-balance-sheet IOUs. xAI is burning $13B in 2025 with minimal revenue and a brand dinged by Grok’s behavior. But Musk’s build speed has believers. Jensen Huang calls him “superhuman.” ▪️Meta: Infrastructure Maximalism Without the Headlines. While others pitch investors, Meta writes checks. Zuck has committed $100B+ in capex by 2026. Its Hyperion campus alone will provide 5 GW, rivaling OpenAI’s Oracle footprint. Meta’s one of Nvidia’s biggest customers, with global buildouts underway. While xAI and OpenAI build for splash, Meta builds for integration. Its models power search, feed, WhatsApp, and Ray-Bans. Once open-weight and community-friendly, Meta is pivoting to productized, embedded AI. So: OpenAI is the global AI utility - cutting megadeals, hedging with partners, and betting that whoever routes the tokens, rules the future. xAI is the sovereign AI state - owning everything, borrowing against the future, and hoping that speed and vertical integration can outweigh its financial fragility. Meta is the invisible AI empire - embedding intelligence at the edge, controlling distribution, and building the most complete stack in the world. They’re laying railroads for our AI future.

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India's next billion Dollar step in Semiconductors Semiconductors are no longer just about fabs. They are about materials, tools, IP, packaging, services, and demand at scale. This report is a decision-grade playbook for anyone looking to invest in, partner with, or shape India’s semiconductor ecosystem under ISM 2.0. 🔍 What’s inside the report • 10 high-conviction semiconductor opportunities where India can win globally • Market size, capex ranges, and IRR benchmarks for each segment • Fab economics: mature vs advanced nodes, breakeven logic, utilization math • India vs Taiwan/Korea/China: cost, risk, and resilience comparison • Domestic demand analysis across EVs, electronics, power, defense & space • Investor lens appendix: IRR sensitivity to subsidies, utilization, export mix • Policy sequencing roadmap: what India must do in years 1–3 vs 4–7 • State-level readiness view (Gujarat, Tamil Nadu, Karnataka, Odisha, etc.) • A hard-nosed FAQ addressing investor questions like “Why not Vietnam?” “What about water?” “Can India really compete?” 📊 Why this report matters Moves the conversation beyond fabs to sustainable ecosystem building Shows how India can compete on cost, speed, and strategic depth Grounded in global benchmarks, real capex math, and execution realities Built for boardrooms, investment committees, and policy desks 🎯 Who should read this • Global and domestic investors • Semiconductor, electronics, automotive & energy executives • Policymakers and state governments • Founders and operators entering semiconductors from adjacent industries 🇮🇳 The core thesis India’s advantage lies upstream — in materials, equipment subsystems, packaging, design, and services — where scale, talent, and domestic demand converge. This is not a vision document. This is an execution roadmap. If you are interested in reading this report, please comment "interested" in the comment box. ~~~~ If you are looking to invest in semiconductors and need expert insights, drop us a DM.

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Deep architecture innovation drives durable advantages in #AI compute for Mythic Also worth noting Mythic’s chips can be made on multiple friendly fabs in secure territories like the US, with at least three more levels of process geometries worth of headroom to exploit for their already massive SWaPC lead…

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When AI makes chip development 10x faster and 50% cheaper, the market changes. The New Silicon Era is about expanding who can build silicon — and how fast they can do it. Honored to speak at The Times Group’s ET NOW Global Business Summit 2026 on “The New Silicon Era: How AI is Redefining Who Gets to Build Chips.” #NewSiliconEra #AI #Semiconductors #DeepTech #AgenticAI

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Made in India Chips: Powering the Next Tech Frontier 🇮🇳 From aerospace-grade processors for ISRO launch vehicles to AI-ready neural amplifiers, encryption cores, and next-gen sensors—India’s semiconductor ecosystem is no longer an aspiration, it’s a reality. At Semicon India 2025, the showcase of indigenous chip designs proves that innovation is thriving across IITs, NITs, ISRO, and private leaders. These chips are not just silicon—they are symbols of self-reliance, scientific depth, and India’s determination to move from being the world’s back-office to becoming its technology architect. The message is clear: the future of computing, connectivity, and critical systems will carry an imprint—Made in India 🇮🇳. Pic v Piyush Goyal INDVest Investors Forum, NYC Sriram Viswanathan Balamurugan Balakreshnan Nayan Paul Ankush Sabharwal Anand Shah Erik Solheim Madhu G N Durga Das Solomon Saul Simon Littlewood Biijal Shah John Spencer Mukesh Aghi Vineet Jain Mayank Rathi Vivek Anand Oberoi Michael Walton Michael Kugelman Shubham Dhoot Sid Jain Cdr Navneet Kaushik Cdr Kartik Gopal Prabhav Sharma Raj Khaware Gopal Krishna Agarwal Karl Mehta Milinda Rajapaksha Rohit Bhandari Anand Ganapathy Andrew Ng Dhruv Goyal

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Last month, a client asked us to assess a recent leadership hire made by another firm.   On paper, the candidate looked flawless. Blue-chip logos, glowing references, titles that suggested influence and execution.   But the business (a fast-scaling B2B storage platform) didn’t need brand polish. They needed someone who understood network code, grid compliance, and how to get projects over the line in multiple markets.   This candidate had never worked a single deal with a TSO.   And let’s be clear, that’s not the candidate’s fault.   We’re seeing more and more of these ‘clean’ hires unravel within six months. Not because the person lacks ability, but because the search firm lacked context.   If your recruiter doesn’t understand the terrain, they won’t see the potholes.

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Madhav Sheth is taking a bold bet on India’s smartphone future. In a market where no Indian brand has cracked the top five in a decade, Madhav aims to rewrite the playbook by owning both hardware and software, and convincing consumers and developers that India can build a credible challenger and has created a Trusted, Privacy-centric brand designed in India, for the world and offers consumers what they deserve without compromising on their experience. You can read the full story here: https://lnkd.in/gJ_FBaxA #AddAPlus Ai+ Smartphone Nxtquantum Shift Technologies

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