Weekend Notebook #39 – When Capital Meets Compute

Published on LinkedIn, Substack and AmitabhApte.com on Sept 28, 2025


In spotlight this week: The $100 Billion Question

Nvidia is planning to pour $100 billion into OpenAI to build next-generation data centres, in what could become the most ambitious AI infrastructure bet ever. On paper, it’s a marriage of two giants: Nvidia supplies the silicon, OpenAI drives demand. The ambition signals nothing less than the industrialisation of AI.

But there’s a tension here. Much of this capital will circle back to Nvidia’s own chips, fuelling whispers of “closed-loop” deals that echo dot-com era excess. Analysts are already asking: are we funding productivity revolutions, or inflating another bubble?

The stakes couldn’t be higher. If this bet delivers, we could see an acceleration of AI capability at a planetary scale. If it falters, the correction could be sharp, reshaping both capital markets and public trust.

Walmart’s CEO Doug McMillon added a sobering perspective: headcount will stay flat even as business grows, because AI will take on roles that once required people. Coming from the world’s largest private employer, this isn’t abstract, it’s the front edge of a workforce reset that will ripple far beyond retail.

My take: We’ve entered the era where compute has become capital. AI is no longer just software; its steel, energy, land, and labour economics. Leaders must prepare for the dual challenge: harnessing unprecedented opportunity while cushioning society from unprecedented disruption.


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

I track the week’s big currents across leadership, geopolitics, policy, infrastructure, and people. Three themes stood out this week:

1. Cybersecurity: breaches are now brand events

  • Harrods confirmed a breach via a third-party vendor; customer names and contact details compromised. Another reminder that supply-chain risk is now brand risk.
  • JLR is recovering from a major September cyberattack that halted production and shipments. Global supply chains remain brittle, and resilience is now as important as efficiency.

2. Infrastructure – capital meets fragility

  • Beyond Nvidia’s $100bn, OpenAI also struck a $400bn partnership with Oracle and SoftBank, and tied up with Databricks to deepen enterprise adoption. Lofty projections of $125bn revenue by 2029 and “trillions” in future data-centre spend highlight both ambition and fragility.
  • Anthropic is tripling its workforce and expanding globally, with 80% of usage now outside the US. From pharma to finance to governments, we’re moving from AI pilots to enterprise-scale deployments. The AI arms race is now unmistakably global.

3. Policy & People – platforms redraw the line

  • Spotify removed 75 million low-quality AI-generated tracks. Platforms are drawing new lines between innovation and integrity. Protecting human creativity is now a business necessity.
  • Neon, an app that pays users to record calls for AI training, has triggered major privacy alarms. The trade-off between data, consent, and profit is becoming the next trust battleground.
  • Global talent shifts: Indian Global Capability Centres are no longer just back-offices; they’re producing CXOs for Tesco, Walmart, SAP, and Maersk. By 2030, an estimated 30,000 global leaders will emerge from this pipeline, a structural rebalancing of corporate power.

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

This week I tuned into Steven Bartlett’s Diary of a CEO podcast with Dr Pradip Jamnadas, a cardiologist known as “the fasting doctor.” is insights were striking: modern diets overload us with insulin spikes, while simple practices like intermittent fasting and better sleep can transform long-term health.

It’s a timely reminder that while AI scales our external capability, it’s disciplined self-care that sustains our inner resilience.


In summary: my key takeaway this weekend

“Capital is racing into compute. Leadership must race just as hard to scale responsibility“

Weekend Notebook #37 – Every company is an AI company

Published on LinkedIn, Substack and AmitabhApte.com on Sept 14, 2025


In spotlight this week: Robinhood CEO recognises AI platform shift

We’ve stopped asking if companies will adopt AI. The question now is: how fast will they rewire themselves into AI companies?

Robinhood’s CEO recently declared just as every company became a “tech company,” every company will soon be an “AI company.” It’s a bold claim but history rhymes. The internet made digital storefronts mandatory, mobile turned every service into an app, and cloud redefined scale. AI now feels like the next inevitability. Much like a historic city that layers modern infrastructure onto its ancient streets, companies must preserve their rich heritage while rewiring pathways for an AI age. The old and new must coexist but progress demands bridges, not barricades.

The data confirms the shift. McKinsey’s 2025 survey shows 65% of companies already use AI in at least one function, BUT fewer than 25% have embedded it across multiple business processes. That widening gap between pilots and full-scale adoption mirrors past waves of disruption where only a few turned experiments into enduring competitive advantage.

The markets are voting with capital. Robinhood’s own leap into the S&P 500 is more than a headline. It signals that investors are rewarding not just vision but delivery moving from hype cycles to hard metrics of revenue, profit, and scale.

My PoV: AI is not a bolt-on feature. It’s becoming the new corporate nervous system, rewiring how decisions are made, how work gets done, and how value is created. The leaders who succeed won’t be those with the loudest AI press releases, but those who invest in new skills, governance, and customer trust while building resilience from the inside out.

“AI won’t just be a layer of software. It will be the fabric of how businesses compete, collaborate, and create value.”


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

The AI Economy – partnerships, infrastructure, and capital

Tech disruption – old giants, new bets

Society and culture adapting to tech

Market dynamics – winners and casualties


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

I tuned into a fascinating conversation between Jay Shetty and Deepak Chopra on AI and spirituality. Chopra reminded us that while artificial intelligence expands our external capabilities, it’s only sustainable if balanced with practices that expand our inner capacities, meditation, reflection, and self-awareness.

Technology sharpens our tools. But it’s human intelligence that shapes our purpose. My own Yoga practice reinforces this truth: clarity, calm, and resilience don’t come from faster chips or larger models they come from training the mind and body with the same discipline we apply to training algorithms.

In an AI-driven age, we need as much commitment to cultivating inner intelligence as we do to scaling artificial intelligence. That balance will determine whether innovation serves human flourishing or overwhelms it.


In summary: my key takeaway this weekend

Calling yourself an AI company is easy. Becoming one is costly, cultural, and continuous. The future of competition isn’t about adding AI as a feature, it’s about embedding it as the fabric of business itself.

Weekend Notebook #36 – The future of work: written in code, judged by people

Published on LinkedIn, Substack and AmitabhApte.com on Sept 7, 2025


In spotlight this week: When AI efficiency meets human cost

This week, AI showed us both sides of its coin: efficiency celebrated in boardrooms, uncertainty felt in households.

Salesforce announced it will cut around 4,000 jobs, the latest in a wave of Big Tech restructuring. At the same time Stanford study reinforces a point that many feared: AI adoption is already reducing jobs in predictable, routine, or entry-level tasks and creating fewer immediate opportunities for displaced workers.

One signal from industry, one from academia. Together, they tell a stark story: the AI dividend is real, but unevenly distributed. Enterprises capture productivity gains and shareholder value. Workers face uncertainty, communities disruption. AI isn’t just augmenting; it’s replacing, even in white-collar domains once thought safe.

For leaders, the message is clear: redesign jobs, not just reduce them. Reskill, rebuild ladders of opportunity, and maintain trust while pursuing efficiency. Cutting costs with AI may deliver short-term wins, but without reinvestment in people, it risks long-term fracture.

The companies that thrive won’t be those that simply shrink their payrolls; they’ll be those that create new paths for human potential.

“The future of work won’t be written by AI alone. It will be judged by how we choose to keep humans in the story.”


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

Robinhood and AppLovin to join S&P 500 – Robinhood’s inclusion signals fintech’s growing legitimacy. AppLovin’s 77% revenue growth and pivot to high-margin adtech position it as a rising AI-driven advertising force.

OpenAI $115B spending surge – Revised projections show nearly $80B more than expected by 2029, as OpenAI seeks control of its infrastructure. It’s bold, but aligned with megacap-level AI investment. My take: AI is no longer R&D, it’s industrial policy.

Anthropic’s $1.5B copyright settlement – The largest in U.S. history, resolving piracy of books from shadow libraries. The judge upheld training AI on copyrighted works as fair use, but the case highlights the urgent need to modernize copyright law for the AI age.

AI upends search advertising model – Ad spend in AI-driven search projected to jump from $1B in 2025 to $25.9B by 2029. From static keywords to multimodal, dimensional queries, this shift will redefine attribution, monetization, and competition in the AI-native web.

Google gets to keep Chrome – Found guilty of monopolistic practices in search, but allowed to retain Chrome and default search deals. Exclusive AI distribution contracts are banned, leaving Google free to double down on AI dominance.

India IT Inc worries on Tariffs – U.S. is weighing tariffs on Indian software exports, endangering a $283B industry reliant on U.S. clients. Combined with AI disruption, it’s a wake-up call: Indian IT must pivot from cost-based outsourcing to AI-led value creation.

OpenAI Job Platform – OpenAI plans to launch a certification program and job marketplace, aiming to train and certify 10M Americans by 2030. With Walmart as a partner, this is a direct challenge to LinkedIn, reshaping how people find and prepare for jobs in an AI-first economy.


Beyond Tech & AI: my music / media / sport “mind share” this week

The BBC Proms 2025 season is in full swing. Orchestral premieres, global folk fusions, and immersive film scores, something for everyone. My favourite this season? Anoushka Shankar’s “Chapters” performed with Robert Ames and London Contemporary Orchestra. A transcendent blend of Indian classical, electronica, and storytelling. Still available on BBC iPlayer. Don’t miss it.


In summary: my key takeaway this weekend

The accelerating march of AI is no longer a distant drumbeat it’s the rhythm reshaping our economy, work, and institutions in real time. From Salesforce’s job cuts to OpenAI’s $115B moonshot, the signals are clear: efficiency is prized, but empathy cannot be lost. Innovation without inclusion risks deepening divides.


“AI may be rewriting the rules but it’s up to us to decide who gets to stay in the game.”