Inflation, Tracked by Bitcoiners, Keeps Accelerating, and It Hasn't Even Peaked

CoinDeskPubblicato 2022-03-10Pubblicato ultima volta 2022-03-10

Introduzione

U.S. inflation probably accelerated last month to a new four-decade high.

U.S. inflation probably accelerated last month to a new four-decade high, showing the intensity of upward pressures on consumer prices even before Russia's war on Ukraine sent commodity prices from oil to wheat soaring, according to a Bloomberg report.
The consumer price index (CPI), due out from the Labor Department's Bureau of Labor Statistics at 8:30 a.m. ET on Thursday, is expected to show that the inflation rate was 0.8% in February, or 8% over the past 12 months. That would be the highest level since 1982, and faster than the 0.6% monthly clip reported for January.
Bitcoin (BTC) traders are likely to monitor the index, since the largest cryptocurrency is seen by some investors as a hedge against inflation. There's also a view that bitcoin's price sometimes reacts to Federal Reserve decisions on monetary policy, and a key mandate for the U.S. central bank is to assure price stability.
Many analysts are still bullish on bitcoin, but the cryptocurrency isn’t performing as the hedge against inflation that they expected. Bitcoin is down 8% since the start of 2022 after reaching its all-time high of $69,000 in November 2021.
“Bitcoin and crypto in general will remain tied to the news out of Ukraine and continue to trade broadly in a risk off/on fashion,” said Richard Usher, head of other-the-counter trading at BCB Group. “We feel that the CPI report on Thursday will prove to be a side event to the Russia/Ukraine situation.”
Gas prices and the Fed
Federal Reserve Chair Jerome Powell said last week he supported a 0.25 percentage point increase in short-term interest rates, which would be the first hike since 2018. The Fed has become more dovish in recent weeks as the Russia-Ukraine conflict drags on and adds concern about global oil supplies and price pressures.
Bitcoin has underperformed gold in 2022, as Russia's invasion of Ukraine sent many investors in traditional markets searching for the yellow metal long seen as a "safe haven" asset.
The cryptocurrency was changing hands at $41,900 at press time, down 8.9% on the year.
Richard F. Moody, senior vice president and chief economist at Regions Financial, wrote in a report that he expects inflation will continue to rise in coming months.
“We and most others had thought we’d see inflation peak with either the February or March data,” Moody said.
With oil prices clearing $120 per barrel due to the cutoff of Russian supplies, Moody expects “further pass-through to retail gasoline prices in the weeks ahead.”
The national average price at the pump for regular unleaded gasoline has soared to a record $4.252 per gallon, according to AAA, the motorist association. That's up from $2.796 a year ago.
Core consumer prices, which exclude volatile food and energy metrics, are expected to have risen 0.5% in February, according to Douglas Porter, chief economist at BMO Capital Markets. Porter said he’s watching to see if inflation is seeping into other categories like services which aren’t driven by supply chain constraints.

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After Marvell's 32% Surge, the Chinese Chip Family Behind It Emerges

The stock price of Marvell Technology surged 32.5% on June 2nd, driven by NVIDIA CEO Jensen Huang highlighting its custom ASICs and optical interconnects as core to AI data center architecture. This event brought attention to the Chinese semiconductor family behind Marvell: the Dai siblings. The story centers on three siblings, all UC Berkeley graduates, whose three-decade entrepreneurial journey aligns with major semiconductor industry shifts. In 1995, youngest sister Dai Wei Li co-founded Marvell with her husband Sehat Sutardja and his brother, focusing on storage controllers. Eldest brother Dai Wei Min founded EDA company Ultima, later sold to Cadence, and later founded VeriSilicon (芯原) in China, becoming a leading semiconductor IP provider. Second brother Dai Wei Jin co-founded EDA firm Silicon Perspective (sold to Cadence) and GPU IP company Vivante, later acquired by VeriSilicon. The combined "Dai-Sutardja" family network extends beyond Marvell. Their ventures and investments form a comprehensive ecosystem for the post-Moore's Law, chiplet era. Key holdings include: Dream Big Semiconductor (AI SuperNICs, acquired by Arm), Alphawave (high-speed SerDes IP, acquired by Qualcomm), and Silicon Box (a chiplet advanced packaging foundry). VeriSilicon itself thrives on the AI ASIC and IP boom in China. Collectively, the family's AI infrastructure-related portfolio is estimated at over $22 billion. Their strategy represents a distinct path: building critical components for open standards and key manufacturing capacity in the chiplet era, rather than pursuing standalone AI chip dominance. While this path may not create the next NVIDIA, it has enabled repeated successful exits and sustained influence within the global semiconductor industry.

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Microsoft is Afraid of Being Marginalized by AI Giants

Microsoft, once the defining force of the PC era, now faces a familiar challenge in the AI age: the risk of being relegated to a profitable but invisible infrastructure provider. This anxiety was laid bare at Build 2026, where CEO Satya Nadella unveiled a major strategic pivot. The catalyst was a quiet April agreement that dissolved Microsoft's exclusive licensing and cloud-hosting deal with OpenAI, its once-vital partner. This erased Microsoft's key AI moat. With OpenAI and Anthropic defining AI applications and gaining enterprise traction—even within Microsoft's own ranks—Nadella had to answer: without exclusivity, what is Microsoft's role? The answer was a suite of seven in-house AI models, a developer-focused AI workstation (Surface RTX Spark Dev Box), and, most crucially, the Agent 365 platform for enterprise AI governance. The models, notably targeting Anthropic's strengths in coding and enterprise, signal a defensive move. However, the broader strategy is to make the models themselves less decisive. Financially, Microsoft's AI revenue is strong, driven largely by Azure running others' models. Yet its user-facing products like Copilot show weak penetration and engagement. Microsoft earns infrastructure money but lacks direct user mindshare. Nadella's core fear is being "hollowed out." As OpenAI and Anthropic prepare for IPOs and gain financial independence, they may build their own infrastructure, threatening Azure's lucrative AI revenue stream. Microsoft's window is to entrench itself deeper: not as the model creator, but as the indispensable platform for securely deploying, managing, and governing all AI models within the enterprise through Agent 365. Build 2026 revealed Microsoft's bet: in the AI era, the ultimate power lies not in any single model, but in the enterprise "operating system" that controls them. Nadella is determined to ensure Microsoft is the driver of this new era, not just a passenger.

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CPU, Quietly Returning to the Center of the AI Computing Power Stage

Over the past three years, AI computing power narratives have been dominated by GPUs. However, starting in 2026, this story began to shift. While training large models remains GPU-intensive, the rapid growth of inference and AI agent workloads, which require high levels of task orchestration, concurrency, and data flow management, has highlighted a renewed critical role for CPUs. These are tasks GPUs are not designed to handle. Intel's recent launch of the Xeon 6+ processor, built on its Intel 18A process and featuring up to 288 efficiency cores (E-cores), exemplifies this strategic pivot. It is positioned not as a mere companion to GPUs but as the essential "control plane" for AI infrastructure, optimized for high-density, energy-efficient, and high-throughput workloads characteristic of AI agents and inference. This "CPU resurgence" is not about CPUs outperforming GPUs in raw computation. It reflects a systemic bottleneck: as AI scales from training single models to deploying countless intelligent agents, the demand for coordination and data handling surges. Major cloud providers are also developing their own high-density ARM-based server CPUs for similar workloads. However, Intel's success with this strategy faces significant challenges. Competition includes NVIDIA's integrated CPU-GPU solutions, the expanding adoption of cloud vendors' in-house ARM CPUs, and the crucial market test of Intel's 18A manufacturing process against rivals like TSMC's N2. In conclusion, CPUs are indeed reclaiming a central, though redefined, role in AI compute—managing the complex orchestration that enables massive-scale AI deployment. While the trend is clear, which company will ultimately lead this CPU resurgence remains an open question to be decided in the data centers of 2027 and beyond.

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