Google Unveils Custom AI Chip Roadmap: Nvidia Moat Under Threat?

Google is accelerating its shift of AI workloads onto its in-house Ironwood TPUs, reducing dependence on external Nvidia GPUs. CoreWeave and Nebius business models rely entirely on reselling Nvidia compute capacity. Nvidia's latest earnings confirmed robust HBM demand, and Google's transition is a 3–5 year structural trend rather than a quarterly catalyst. Can Google's TPU roadmap genuinely threaten Nvidia's moat, or does Nvidia's customization capability remain irreplaceable?

Fighting,, alright go iron you
avatarKitKat
05-29
Nvidia is currently priced for perfection and being the dominant maker leader. Eventually it will lose some market share of competitiveness. Howeve it will continue to lead due to CODA as it is too difficult to move away. The AI race will continue for many years and compute is the true measure of power. The world is going deeper into digital and branching into robotics (real world AI). Nvidia, ASML, TSMC, Micron will be powering this growth.

Google’s Custom Silicon vs. Nvidia’s Dominance: A Dual-Holding Investor Playbook

Google’s aggressive push into custom silicon—highlighted by its recent eighth-generation TPU 8t (training) and TPU 8i (inference) roadmaps, alongside its custom Axion Arm-based CPUs—marks a structural shift in the AI landscape. If you are an investor holding both Alphabet (GOOGL) and Nvidia (NVDA) like myself, this semiconductor rivalry directly impacts the competitive moats of both tech giants. I am holding them in my long-term tech portfolio. What It Means for Nvidia’s Moat Google’s custom chip roadmap chip away at Nvidia's dominance, but it does not destroy it. Instead, it transitions the market from an Nvidia monopoly into a highly competitive two-platform ecosystem. The CUDA Moat Under Attack: Nvidia’s true moat is not just hardware; it is CUDA, the software ecosystem millions of deve
Google’s Custom Silicon vs. Nvidia’s Dominance: A Dual-Holding Investor Playbook
avatarHarj
05-27
Google has tremendous capacity in Custom AI Chips. But currently NVDA has a strong lead and will not be possible for Google to dislodge it.

Tech stocks to watch other than NVDA

Nvidia Revenue Rockets 85%: 3 Undervalued Top AI Chip Stocks  https://seekingalpha.com/article/4907686-nvidia-revenue-rockets-85-percent-3-undervalued-top-ai-chip-stocks?share_source=shared_news?source=tweet 
Tech stocks to watch other than NVDA
avatarSabre78
05-26
Nvidia sleeping beauty or end of run? All chip stock fly this counter die. Anyone got anything to share. So sad 
$NVIDIA(NVDA)$   Nvidia maintains its AI chip dominance, with robust and sustainable growth rates, while expanding opportunities beyond hyperscalers. Despite underperformance versus peers and market skepticism, NVDA trades at just above 20x forward earnings, with EPS CAGR projected above 40% for three years. NVDA's broadening customer base, deep integration, and VC-style investments underpin a strong moat. Is Nvidia (NVDA), a Buy, Sell, or Hold? Impressed by the Q1 FY27 print, Baird analyst boosted his price target for Nvidia stock to a Street-high of $500 from $300, and reaffirmed a Buy rating. Nvidia remains Baird’s top idea. Gerra highlighted that Nvidia is securing market share in inference and at hyperscal
Writing Nvidia has been one of the biggest winners of the AI boom, but the market may soon enter a new phase. With the potential IPO launches of companies like SpaceX and OpenAI, global capital could begin rotating toward the next generation of “once-in-a-decade” listings. These are not just normal IPOs — they are trillion-dollar narratives tied to AI, infrastructure, robotics, space technology, and future computing. For the past two years, Nvidia has been the primary gateway for investors wanting exposure to AI. Every major AI company needed Nvidia chips, which pushed Nvidia into becoming one of the most valuable companies in the world. But once companies like OpenAI and SpaceX become publicly tradable, investors may no longer need indirect exposure through Nvidia alone. A large amount of
The print from Nvidia is not weak. It is too strong for expectations already priced in. 85% growth with ~75% margins tells you demand is still supply-constrained, not fading. The muted reaction signals positioning fatigue, not a broken thesis. What matters is the second-order move: Advanced Micro Devices +8% Arm Holdings +15% Micron Technology +5% This is classic cycle broadening. When the leader stops accelerating, capital rotates into laggards and suppliers. So which is it? Not a top yet, but no longer early. Nvidia: transitioning from hyper-growth leader → “infrastructure anchor” Market: shifting from single-stock trade → ecosystem trade (compute, memory, networking, power) On $220: Bull case: still early in inference + sovereign AI + enterprise adoption → higher base Bear case: expecta
Clearly Nvidia is surpassing AMD, at this rate I don't see AMD catching up
NVIDIA will become 1 of the top S&P at the current rate of AI technology evolving. 
$NVIDIA(NVDA)$   Nvidia: Has Jensen Huang really lost his magic? Nvidia (NVDA) delivered, and the market wasn't impressed. Now it seems like even good results are no longer enough because the company, I guess, is no longer just printing $60 billion in revenue. Remember that was FY2024. Earlier this year for FY2026, that revenue had gone up to $216 billion, more than 3.5x what they did in FY2024. I guess you could say that the market has now baked in very high expectations on what Nvidia could show us. Back in March, I highlighted why, when Jensen Huang unveiled the $1 trillion plus revenue opportunity at the Spring GTC, it should have been a blockbuster, but the market was discernibly not that impressed. Yet I
avatarDeonc
05-25

Assessing Nvidia (NVDA) Valuation After Record Results Dividend Hike And US$80b Buyback

$NVIDIA(NVDA)$   May 24, 2026 Simply Wall St NVIDIA (NVDA) just reported record quarterly results, paired with a 25x dividend increase to US$0.25 per share and a new US$80b buyback. This puts capital returns and AI growth firmly in focus for shareholders. See our latest analysis for NVIDIA. Despite a slight pullback around the results, with the share price down 1.9% over the last day and 4.4% over the past week, NVIDIA still shows firm momentum, with a 30 day share price return of 3.4% and a 1 year total shareholder return of 64.1% on the back of record AI demand, Vera CPU announcements and the expanded capital return program. If NVIDIA’s results have you rethinking your AI exposure, this is a good moment to loo
Assessing Nvidia (NVDA) Valuation After Record Results Dividend Hike And US$80b Buyback
$NVIDIA(NVDA)$   Nvidia maintains its AI chip dominance, with robust and sustainable growth rates, while expanding opportunities beyond hyperscalers. NVDA's Vera CPU presents a $20 billion annualized opportunity, but GPUs and integrated systems will continue driving the bulk of future growth. Despite underperformance versus peers and market skepticism, NVDA trades at just above 20x forward earnings, with EPS CAGR projected above 40% for three years. NVDA's broadening customer base, deep integration, and VC-style investments underpin a strong moat.
avatar1PC
05-24
🚀 Nvidia Q1 revenue +85% YoY, margin steady at 75%, $80B buybacks + dividend hike, and Jensen flagged a $200B new market. Guidance reaction was muted, but AI demand spilled over — AMD +8%, ARM +15%, MU +5%. ✨ My view: NVDA’s valuation looks rich, yet the AI bull run is rotating wider. $220 may just be the starting point if hardware demand keeps compounding. @JC888 @Barcode @Aqa @DiAngel @Shyon @koolgal @Shernice軒嬣
The market is no longer debating whether AI demand is real. It is now debating who captures the next dollar of that demand. Let’s separate signal from noise. 1. Nvidia itself NVIDIA is no longer a “growth discovery” story. It is a scale + expectations story. An 85% YoY growth on that base, with 75% margins, is exceptional. But the tepid guidance reaction tells you something important: The market has already priced continued perfection Incremental upside now depends on beating extremely stretched expectations So at ~$220, Nvidia is not “cheap early-cycle” anymore. It is closer to a high-quality compounder with limited room for narrative expansion unless: Blackwell ramps faster than expected, or Hyperscaler capex surprises meaningfully again Otherwise, you get more “good results, muted price
$Strategy(MSTR)$   Just like Nvidia (NVDA), Strategy (MSTR) are two best Monster Stocks to Buy for Late 2026 For the points, this stock will rebound a couple of times to $230 in the next 6 months. 2026 has hardly brought any respite to the Strategy (Nasdaq: MSTR), formerly known as MicroStrategy, stock. Even though the stock is up nearly 10% this year, the performance has been rather flat over the last month. Even then, an analyst has raised its price target on the Strategy stock due to two reasons. Strategy's quarterly loss prompts possible strategy shift Founded as a software company in 1989, the Michael Saylor-led company turned to Bitcoin amid the coronavirus pandemic in 2020. It now holds 843,738 BTC
avatarKekemon
05-24
Highly likely. Let's charge.😊
avatarAdz5150
05-23
NVDA numbers are honestly insane at this point. The hard part isn’t whether it’s a great company, it’s figuring out how much future growth is already priced in. Seriously one to keep a close eye on.
This is less about Nvidia alone and more about where we are in the AI cycle. Start with the uncomfortable truth: This did not look like a blow-off top. If anything, it looked like maturing leadership. 1) Nvidia itself: not cheap, but not exhausted An 85% YoY growth rate at this scale, with ~75% gross margin, is not normal late-cycle behaviour. The muted reaction despite strong numbers suggests positioning was crowded, not that the story is broken. The real signal is this: buybacks + dividend + “$200B TAM expansion”. That is a company preparing for durability, not just peak hype. $220 is not a “starting point” in the traditional sense. It is more like a transition zone where expectations are already high, so upside depends on execution staying near-perfect. 2) The more important signal: bre