Tag: nvidia

Weekend Notebook #2619 – When the Chip Race Widens and AI Starts Executing

amitabh apte

Published on LinkedIn and amitabhapte.com on 10th May 2026

Three themes this week. The semiconductor wealth that spent three years concentrating in one company is spreading. Anthropic’s compute hunger is turning unlikely infrastructure players into AI winners. And AI has quietly crossed from advising to executing, in cybersecurity, commerce, and code. The pace of change is not slowing. It is compounding.

1. The Chip Race Widens

Wall Street called it a “changing of the guard in AI.” Intel, AMD, and Micron each gained around 25% or more this week, while Nvidia rose a more modest 8%. Intel has more than doubled year-to-date. Micron has surged over 750% in the past year and crossed an $800 billion market cap. The rotation reflects a maturing thesis: AI infrastructure now requires CPUs, memory, and optical networking at scale, not just GPUs. Memory is in shortage, with Micron’s CEO noting customers are receiving only 50 to 65% of their requirements. That squeeze is driving prices up and turning a 47-year-old company in Idaho into one of the hottest trades in the market.

Nvidia is not standing still. It has committed more than $40 billion in equity investments in 2026 alone, anchored by its $30 billion stake in OpenAI and multi-billion dollar deals with Corning and data centre operator IREN. CEO Jensen Huang’s stated logic: “We don’t pick winners. We need to support everyone.” Critics call it circular. Nvidia invests in customers who buy its chips, who then generate the demand that justifies the investment. But there is a harder long-term pressure building. Hyperscalers are building their own AI chips: Google’s TPUs, Amazon’s Trainium, Meta’s MTIA silicon. Amazon’s custom chip business has already crossed a $20 billion revenue run rate. For inference workloads, purpose-built silicon is faster and cheaper than general-purpose GPUs. Nvidia’s dominance in training is secure for now. Its dominance across the full stack is not.

My PoV: The AI chip story is no longer a single-stock thesis. For technology leaders building infrastructure strategy, the question is no longer just “how much Nvidia capacity can we secure?” It is “where does custom silicon from our cloud provider give us a cost and performance advantage for inference at scale?” That is an architecture decision, and it belongs in your AI infrastructure roadmap now.

2. Compute Scarcity Is Creating Unlikely Winners

Anthropic has experienced 80x growth in annualised revenue and usage in Q1 2026. The constraint is not demand. It is compute. The company is buying capacity from every available source, and this week that search reached an unexpected destination. Akamai, a 28-year-old content delivery network founded at MIT, signed a $1.8 billion, seven-year cloud infrastructure deal with Anthropic. The largest contract in Akamai’s history. Its stock rose 27% on the news. Akamai’s 4,000-plus global network locations, built to deliver web content without latency, are being repurposed to run AI inference at the edge. The company’s cloud infrastructure revenue was already up 40% year-on-year before this deal. The Anthropic commitment gives it revenue visibility its legacy CDN business never offered.

Japan joined the story through SoftBank. The Nikkei reached a record high this week, driven in significant part by SoftBank’s AI positioning. SoftBank has committed $100 billion to AI infrastructure in the US through the Stargate joint venture with Oracle, and its domestic portfolio of AI investments has been re-rated sharply upward. Japan is no longer a spectator in the AI infrastructure cycle. Through SoftBank’s capital and government-backed semiconductor incentives, it is an active participant.

My PoV: Akamai’s transformation is the week’s most instructive story for enterprise technology leaders. A company that spent 25 years building global network infrastructure is now one of Anthropic’s most important compute partners. The lesson: AI’s compute hunger is so acute that infrastructure built for entirely different purposes, latency-optimised content delivery, is being repurposed and re-valued. Your own organisation’s infrastructure assets may have strategic value in the AI economy that your current roadmap does not account for.

3. AI Moves from Advising to Executing

OpenAI launched GPT-5.5-Cyber, a variant of its latest model specifically trained to be more permissive for security workflows, available in limited preview to vetted cybersecurity teams. It assists with vulnerability identification, malware analysis, binary reverse engineering, and patch validation. It does not write malware or steal credentials, but it removes the friction that the standard model imposes on legitimate security work. The approach contrasts with Anthropic’s Mythos: OpenAI is betting on broader, verified access through its Trusted Access for Cyber programme, scaled to thousands of individual defenders and hundreds of teams. Anthropic restricted Mythos to around 40 organisations. Two philosophies on the same underlying problem: how do you democratise AI-assisted defence without arming attackers?

In commerce, Alibaba announced the integration of its Qwen AI platform directly into Taobao, giving the agent access to over four billion products across Taobao and Tmall, plus logistics, after-sales, and Alipay checkout. The shopper asks; the agent browses, compares, applies 30-day price tracking, and completes the transaction. This is the largest agentic commerce deployment yet from any platform globally. Western equivalents, including Amazon’s Rufus and Shopify’s AI integrations, remain in the advisory lane: they help you decide, but you still transact. Alibaba’s design puts the agent in the execution seat end-to-end. That is a different operating model, and it will be studied.

In software, Google’s internal struggle to coordinate its AI coding tools is handing competitive ground to Anthropic’s Claude Code and OpenAI’s Codex. Google has world-class models and one of the largest developer communities in the world. But internal alignment on how to deploy those models for coding has lagged, and the market has noticed. Claude Code, which powers agentic multi-file coding tasks, has become the default tool for serious AI-assisted software development at thousands of enterprises. Execution, not capability, is the differentiator.

My PoV: The thread connecting cybersecurity, agentic commerce, and AI coding is the same: AI is no longer in the advisory seat. It is in the execution seat. For technology and business leaders, this changes the governance question. The relevant question is no longer “is this AI recommendation accurate?” It is “who is accountable when this AI action has consequences?” That accountability framework needs to be designed before the deployment, not after the incident.

My Takeaway This Weekend

The AI infrastructure story is maturing and broadening simultaneously. The semiconductor cycle is distributing wealth beyond the initial GPU monopoly. Compute scarcity is elevating infrastructure companies that were not in the AI conversation two years ago. And AI capability is crossing the line from insight to action across security, commerce, and software development.

Three years into the generative AI era, the competitive advantage is no longer who has access to the best model. It is who has the infrastructure to run it, the governance to deploy it responsibly, and the organisational clarity to act faster than the competition. The architecture decisions being made this quarter will set the boundaries of what is possible in 2027. That window is shorter than most planning cycles assume.

Weekend Notebook #38 – Building AI nations, not just AI models

amitabh apte

Published on LinkedIn, Substack and AmitabhApte.com on Sept 21, 2025

In spotlight this week: UK’s $200B AI Moonshot


President Trump’s UK visit culminated in a Tech Prosperity Deal with Prime Minister Keir Starmer, announcing over $200 billion in US–UK tech and AI investment. Microsoft pledged $30B over four years to expand AI and cloud infrastructure, Google committed $5B to boost AI and data centre capacity, and Nvidia invested £500M in Nscale as part of a broader £11B push into UK-based AI factories powering projects like OpenAI’s Stargate and Microsoft’s new supercomputer.


This deal signals a decisive shift: the UK is not just regulating AI, it is building itself into a sovereign AI hub. Tens of thousands of jobs will be created, supply chains for GPUs and compute will be strengthened, and Britain’s role in transatlantic AI collaboration will deepen. In an era where compute is the new oil, data centres and sovereign infrastructure are the new battlegrounds for economic and geopolitical advantage.


My PoV – This is the UK’s moonshot moment. Infrastructure at this scale could anchor Britain as a global AI leader, but steel and silicon alone aren’t enough. The real test is whether investment translates into skills, trust, and adoption that benefit society as well as industry. For business leaders, the takeaway is clear: the future of AI competitiveness isn’t about building smarter models, it’s about building the foundations that let those models thrive.

Noteworthy this week: what caught my eye in the AI and tech world

Talent, regulation & geopolitics

  • The U.S. has escalated its H-1B visa crackdown, imposing a $100,000 fee that is forcing Indian IT firms to curb onshore rotations and accelerate offshore models. Tech giants like Microsoft, Amazon, Meta, and JPMorgan are warning foreign employees not to travel, underscoring how policy shifts directly reshape global talent flows.
  • TikTok has won a reprieve in America under a new deal that reduces Chinese ownership below 20% and places Oracle in charge of U.S. data, a blueprint for how national security concerns could reshape tech governance going forward.

Consumer trust under pressure

  • The Amazon Prime trial will test whether subscription giants have been deliberately making cancellations too complex. If the FTC prevails, Amazon could be forced to simplify flows, setting new norms for consumer rights in digital services.
  • Across the Atlantic, a cyberattack on European air travel systems grounded flights at Heathrow, Berlin, and Brussels, shaking public trust in critical infrastructure and spotlighting how fragile digital-first services remain in the face of cyber risk.

The infrastructure arms race

Hardware sovereignty & intelligence on the edge

  • Apple is accelerating its in-house chip strategy, prioritising AI-optimised silicon that boosts on-device intelligence, efficiency, and privacy while reducing reliance on third parties. Taken with Nvidia and Oracle’s bets, the story is clear: hardware design and infrastructure control are becoming the new frontiers for competitive differentiation in AI.

Beyond Tech & AI: my “mind share” this week

Being back at Barilla’s Parma HQ in the heart of Italy’s Food Valley was both inspiring and grounding. While plenty of Data, Tech and AI conversations kept me busy, what made the week truly special was the chance to sit with colleagues across cyber, data, infrastructure, and sales. Listening, learning, and aligning on our shared priorities. Moments like these remind me that while AI, digital, and data drive transformation, the culture, humility, and human connection that give those technologies meaning and staying power.

In summary: my key takeaway this weekend

“From moonshots in London to conversations in Parma, the same truth echoed: AI’s future won’t be written only in code or capital. It will be written in the bridges we build between technology and trust, scale and society, steel and soul.”

Weekend Notebook #35 – Meta’s AI Avatars and the Fragile Ethics of Innovation

amitabh apte

Published on LinkedIn, Substack and AmitabhApte.com on August 31, 2025

In spotlight this week: Meta’s AI Personas: Innovation or Identity Overreach?

What happens when innovation runs ahead of consent? This week, Meta reportedly created dozens of AI chatbots using celebrity likenesses including Taylor Swift and Anne Hathaway without their consent. Some of these bots engaged in flirty or sexually suggestive conversations, breaching Meta’s own safety policies and raising profound questions about identity rights, digital personas, and the limits of generative AI.

Meta has scrambled to add safeguards: restricting teen access to certain avatars, retraining systems to avoid self-harm or sexualized responses. But the episode exposes the fragility of today’s AI guardrails and how easily they can crack at scale.

My takeaway: Generative AI isn’t just about what’s possible it’s about what’s permissible. The real test for platforms isn’t whether they can scale avatars, but whether they can respect identity and prevent harm at scale.

Noteworthy this week: what caught my eye in the AI and tech world

Leadership & Power

  • 2025 TIME100 AI – Recognizes leaders from Sam Altman to Pope Leo XIV to artist Refik Anadol, a reminder that AI’s future is being shaped at the intersection of capital, conscience, and culture. Can such diverse voices steer AI toward stability or will power remain concentrated?

Earnings & Investment

  • Nvidia’s blowout quarter – Sales jumped 56%, profits 59%, cementing Nvidia as the world’s most valuable company. AI infrastructure spending shows no sign of slowing.
  • Alibaba’s AI surge – Triple-digit revenue growth in AI products and 26% in cloud sales lifted shares 9%. Strategic AI bets are reshaping market confidence in China.

Geopolitics

  • China’s pragmatic AI – Focused on agriculture, healthcare, and public services with smaller, efficient data centers. Unlike the US’s AGI race, China is optimizing what works now — a strategy that may prove more scalable and globally influential.
  • India’s Reliance + Google + Meta alliance – A $100M joint venture to deliver sovereign, enterprise-ready AI. Backed by clean-energy-powered cloud and open-source deployment, it raises the question: how will India balance sovereignty with global interoperability?

Consumer Shifts

  • Rise of AI shopping agents – Bots that search, recommend, and purchase on behalf of users are reshaping e-commerce. What happens to brand identity — and consumer choice — when machines, not people, drive the cart?

In summary: my key takeaway this weekend

Meta’s avatar scandal shows the ethical fragility of innovation: consent and identity rights cannot be afterthoughts. Meanwhile, the global AI race from TIME100 leaders to China’s pragmatism and India’s sovereign ambitions underscores how deeply AI is becoming personal, cultural, and geopolitical.

“AI is scaling faster than trust. The question for leaders is whether ethics can catch up.”