#AMDLargestBondDeal

$AMD JUST RAISED $4.75B — ITS LARGEST USD BOND DEAL EVER. AMD has completed the biggest dollar-denominated bond issuance in its history, raising $4.75B across four tranches with maturities ranging from 3 to 10 years. The 10-year notes came with a 5.5% coupon, reportedly 25 bps below the company’s initial guidance after strong demand from 16 Wall Street institutions pushed borrowing costs lower. What’s interesting is that AMD doesn’t appear to need the cash urgently. The company reportedly has around $13.1B in cash against just $3.2B of debt. But with $875M of debt coming due next month and a planned $5B investment in Anthropic, AMD is clearly building liquidity ahead of major commitments. And AMD isn’t alone. NVIDIA raised $25B in June, while Google issued another $25B in early August. Big tech is increasingly tapping the bond market to secure capital for AI infrastructure and expansion. AMD’s choice to issue debt rather than shares also avoids immediate shareholder dilution — effectively using leverage to fund its AI ambitions and compete for more market share. The AI arms race isn’t slowing down. 💰🤖 #OpenAIAnthropicRace #WeakConsumptionFedSplit #NvidiaAICapitalChain

[Pharaoh's Market Watch] Pharaoh says directly, AMD's $4.75 billion bond issuance is not about needing money, but about locking in the "entry ticket" to AI infrastructure in advance. Other companies borrow because they can't hold on, but AMD borrows despite having $13.1 billion in cash on hand and still wants to borrow another $5 billion, aiming to settle the battles of the next few years ahead of time. First, let's look at how solid the data is. AMD

AMD’s $4.75B bond offering highlights a new dimension of the AI race: access to capital is becoming as important as chips, customers, and manufacturing capacity. Nvidia’s compute-financing ambitions and Intel’s planned equity raise reflect the same capital-heavy trend, though the risks are distributed differently. Debt gives AMD room to finance infrastructure and capex without immediate shareholder dilution. The key question is whether AI revenue can grow quickly enough to support those funding costs. If not, balance-sheet strength could become an increasingly important factor in valuing AI companies. Not financial advice, just analysis. #SandiskLongTermTargets #CPIPPIEaseFedSplit #AIInfraEarningsWatch

After $SNDK and $MU both had a rally, will the next round of AI money start looking at $AMD? The AI hardware sector has been quite interesting lately. Initially, the market was most excited about $NVDA, but then it became clear that GPUs aren't the only bottleneck. Capital began to spread into HBM, DRAM, and SSD, and both $MU and $SNDK benefited from this revaluation. After storage has been fully discussed by the market, I’ve started to look at $AMD again because its current position is somewhat awkward: AI demand is so strong, the biggest winner is $NVDA; storage shortages give $MU and $SNDK their own logic; $AMD clearly also stands at the core of AI computing power, yet it always has to answer one question—when will it truly be able to take a big enough piece of the pie from $NVDA?#CPIPPIEaseFedSplit #AIInfraEarningsWatch #SpaceX99%ValueFromAI

This little-known data stock offers a way to play the AI boom, Bank of America says

🚀 AI infrastructure is entering a new phase. Strong revenue growth alone is no longer enough—investors now want proof that massive AI investment is translating into sustainable profits. The latest numbers remain impressive: NVIDIA: $81.6B in revenue (+85% YoY), with Data Center revenue reaching $75.2B (+92% YoY). AMD: Data Center revenue climbed to $16.6B (+32%), driven by strong demand for EPYC CPUs and Instinct AI accelerators. But the AI ecosystem is now much broader than GPUs. It includes: AI accelerators & GPUs CPUs Networking Optical connectivity Memory Cooling systems Power infrastructure Data-center construction The next challenge is no longer just making faster chips—it's building the infrastructure around them. As earnings season continues, I'm focused on three key areas: 1️⃣ Revenue conversion – Are AI orders becoming real revenue? 2️⃣ Capex efficiency – How much investment is needed to generate each additional dollar of AI revenue? 3️⃣ Customer concentration – What happens if a handful of hyperscalers reduce their AI spending? The AI infrastructure story remains compelling, but the market is becoming more selective. The next big question isn't who spends the most on AI—it's who generates the strongest returns from that spending. #OKXOrbitTopics #OKXTraderVoices $XNVDA $NVDA $AMD #AIInfraEarningsWatch #CPIPPIEaseFedSplit #SpaceX99%ValueFromAI

#AIInfraEarningsWatch # AI Infra Earnings Watch: Can Spending Turn Into Profits? The **#AIInfraEarningsWatch** narrative keeps attention on earnings across the companies supplying the infrastructure behind the artificial-intelligence boom. Investors are increasingly looking beyond headline revenue and asking whether enormous AI spending is producing sustainable returns. The ecosystem spans GPUs, networking, memory, storage, cloud capacity, data centers, and power infrastructure. Companies such as **$NVDA**, **$AMD**, **$AVGO**, **$MU**, and **$TSM** provide different pieces of this supply chain, so their results can offer clues about where AI demand is strongest. Capital expenditure is one of the most important indicators. Hyperscalers continue committing substantial resources to AI data centers, but investors want evidence that these investments can generate sufficient revenue and productivity gains. Strong cloud demand and rising AI-related bookings could reinforce the spending cycle. Supply is another variable. Tight availability can support pricing and margins, while aggressive capacity expansion could eventually create pressure. Memory and semiconductor companies are particularly sensitive to this balance. For traders following **#AIInfraEarningsWatch**, the key metrics are AI-related revenue, data-center growth, gross margins, backlog, capital expenditure, free cash flow, and management guidance. High expectations create additional risk: even strong quarterly results may fail to satisfy investors if future guidance falls short of already-elevated forecasts. Ultimately, earnings will help determine whether AI infrastructure remains a durable multi-year growth cycle or begins moving toward a more mature phase where spending and valuations normalize. **$NVDA $AMD $AVGO $MU $TSM** **#AIInfraEarningsWatch #AI #DataCenters #Semiconductors #TechStocks**

$AI AGENTS COULD SUPERCHARGE CPU DEMAND BofA raised its 2030 server CPU market forecast to $210B+ from $170B, nearly 5x the estimated 2025 market. $AI agents are driving CPUs from supporting roles toward the orchestration control plane, potentially shifting the CPU-to-GPU ratio from 1:4 toward 1:1. BofA expects 36% annual growth through 2030. $AMD remains its top CPU pick, while $NVDA is the overall sector favorite.

AMD Raises $4.75B — AI CapEx Race Is Getting Bigger AMD just completed its largest-ever USD bond issuance, raising $4.75B to fund AI infrastructure expansion and capital expenditures. The bigger story isn’t just AMD. Nvidia is building financing platforms, Intel is raising capital through equity, while AMD is using debt. Different strategies, same objective: secure more capital for the AI infrastructure race. That matters because AI competition is no longer only about chips, orders, and computing power. It’s increasingly about who can finance the next wave of CapEx. For BTC, the direct impact is limited. But the broader signal is interesting: AI investment is still accelerating → capital requirements are rising → credit expansion continues. As long as AI revenues can outgrow financing costs, this debt can fuel further expansion. If demand slows, however, the same leverage becomes a valuation risk. The AI spending race isn’t cooling yet. And BTC’s role as a scarce, non-sovereign asset becomes more interesting as the global credit cycle keeps expanding. $AMD $BTC $ETH $SNDK

Advanced Micro Devices $AMD stock gained by almost 1% during Friday’s premarket session as investors digest record $5 billion bond financing plans tied to its AI buildout.