Welcome, AI & Semiconductor Investors.
Nvidia’s rumored CPU-GPU combo could shake up the chip landscape, opening new frontiers in consumer AI computing and challenging established x86 heavyweights.
Are you ready to see how AMD’s 2025 top pick status and TSMC’s 2nm race fit into this fast-evolving semiconductor story?... Let's Dig In
What The Chip Happened?
🚀 AMD Named a 2025 Top Pick
❗ Nvidia: The CPU-GPU Fusion Revolution
✨ TSMC: The 2nm Capacity Surge
Read time: 6 minutes
Advanced Micro Devices (NASDAQ: AMD)
🚀 AMD Named a 2025 Top Pick
What The Chip: Northland Capital Markets just crowned AMD as one of their top picks for 2025, pointing to significant growth across AI, server CPUs, and PC client segments. Meanwhile, AMD’s recent Q3 2024 earnings showcased notable gains and raised optimism for the path ahead.
Details:
📈 Analyst Price Target: Northland reiterated a $175 price target, citing confidence in AMD’s data center and AI hardware push. They believe, “There is significantly more upside to CY25 than risks.”
🏗 2025 Roadmap: Northland projects AMD’s AI revenue to climb from $5.2B in 2024 to $9.5B in 2025. AMD’s MI325X data center GPUs and Turin EPYC CPUs highlight an aggressive product roadmap, but Dr. Su cautions there can be “lumpiness” in adoption cycles.
🏆 Server CPU Growth: Northland’s analysis aligns with AMD’s own earnings call, where data center CPU (EPYC) revenue more than doubled year-over-year. Management noted broader adoption in enterprise and cloud, including wins at Microsoft, Meta, Dell, and HPE.
💻 PC Demand & AI PCs: AMD’s latest Zen 5-based Ryzen desktop and notebook processors drove a 29% annual increase in client segment revenue. New AI-enhanced CPUs (Ryzen AI) are fueling optimism for future PC upgrade cycles—especially with Windows 10 support ending in 2025.
📉 Bearish Points: Embedded revenue is still normalizing, and gaming sales declined 69% year-over-year (notable slowdown in semi-custom). Management called out softness in industrial and communications for Embedded, suggesting a gradual rather than rapid rebound.
🏰 Looking Out: CFO Jean Hu noted during Q3 earnings, that operational efficiencies are helping margins, but AI GPUs currently run below corporate average. Long-term, AMD believes data center-level scale can drive GPU margins higher.
Why AI/Semiconductor Investors Should Care: With AI and server CPU markets expected to expand considerably, AMD is doubling down on its data center and CPU/GPU strategy, helping to offset dips in gaming and embedded end markets. Whether AMD can gain further share in a highly competitive AI ecosystem remains the question, but strong Q3 earnings—and bullish analyst views—suggest AMD has the technology roadmap and partnerships to keep delivering growth well into 2025.
Moore Semiconductor Investing
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Details:
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Why AI/Semiconductor Investors Should Care: This evolving earnings handbook gives you a strategic edge. Understanding quarterly earnings data is crucial for gauging industry health, discovering new growth leaders, and aligning your investment approach with emerging technological waves.
Disclaimer: For educational and informational purposes only. Not financial advice. Consult with a qualified professional before making any investment decisions.
Nvidia (NASDAQ: NVDA)
❗ Nvidia: The CPU-GPU Fusion Revolution Rumors
What The Chip: Rumors are swirling that Nvidia plans to unveil its first-ever consumer-focused CPU at CES 2025, potentially integrated with GPU capabilities for maximum AI and graphics performance. This move could reshape the market—and rattle established players Intel and AMD.
Details:
🤔 Arm-Powered Ambition: Industry chatter suggests an Arm-based design tuned for AI, as analysts like Will Stein (Truist Securities) estimate a potential $35 billion market expansion if Nvidia goes consumer CPU.
🏆 GPU Synergy: Expect a CPU+GPU package leveraging Nvidia’s graphics know-how for laptops and desktops, possibly rivaling x86-based chips in both performance and efficiency.
⚡ AI-Optimized: “We see a world where AI computing is in every device,” said Jensen Huang, Nvidia’s CEO, in a recent media interview. This synergy could spur next-gen AI applications right at the consumer level.
📈 Potential Release Timeline: Announcement at CES on January 6, 2025, with product availability rumored for late 2025 or 2026—though official confirmation is still under wraps.
🔍 Analyst Buzz: Vivek Arya (Bank of America) predicts a strong push into AI-ready PCs, increasing competition for Intel and AMD.
❗ Investor Watch-Outs: Delays, fabrication complexities, or tepid consumer adoption could be stumbling blocks. Investors should keep an eye on market reaction post-CES.
Why AI/Semiconductor Investors Should Care: Nvidia’s potential entry into the consumer CPU market blends its GPU dominance with CPU design, setting the stage for an all-in-one AI-optimized platform. A successful move here could broaden Nvidia’s reach beyond data centers and gaming, creating new opportunities—and challenges—for the entire chip sector.
TSMC (NYSE: TSM)
✨TSMC: The 2nm Capacity Surge
What The Chip: TSMC is kicking off 2025 with big news: it has started ramping up a pilot 2nm production line in Hsinchu, targeting high-volume output by 2026. Apple is pegged as the first adopter, with other chip heavyweights likely to follow suit.
Details:
⚙️ Pilot Line Progress: TSMC’s Baoshan fab (Fab 20) has started 2nm pilot runs at around 3,000–3,500 wafers/month. Capacity is set to surge across Baoshan and Kaohsiung fabs, hitting 120,000–130,000 wafers/month by 2026.
⚡ Demand Surpasses 3nm: “Customer demand for 2nm already exceeds that for 3nm,” TSMC Chairman C.C. Wei stated, showing strong interest from big clients like Apple, MediaTek, and Qualcomm.
🏭 Expanded Footprint: By Q4 2025, Baoshan could reach 20,000–25,000 wafers/month; Kaohsiung aims for 25,000–30,000. Both sites plan to double those numbers by late 2026 or early 2027.
🔬 Performance & Efficiency Boost: According to TSMC’s data from IEDM, 2nm can reduce power consumption by up to 35% or boost performance by 15% while offering 1.15x transistor density over 3nm.
🏅 Apple Leads the Way: Apple reportedly plans to be TSMC’s first 2nm customer, reinforcing a longstanding partnership for cutting-edge process nodes.
💡 Investor Considerations: Supply chain complexity and cost are potential risks. Investors should watch for yield rates and whether TSMC meets these ambitious capacity timelines.
Why AI/Semiconductor Investors Should Care: As TSMC pushes the boundary on advanced process technology, its 2nm rollout underscores continued demand for smaller, faster, and more power-efficient chips. For AI and semiconductor investors, this signals new growth opportunities in high-performance computing and mobile devices—plus a competitive edge for TSMC’s top customers.
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Disclaimer: This article is intended for educational and informational purposes only and should not be construed as investment advice. Always conduct your own research and consult with a qualified financial advisor before making any investment decisions.
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