Tag: technology

Weekend Notebook #37 – Every company is an AI company

amitabh apte

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

amitabh apte

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.”

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.”

Weekend Notebook #34 – From Cloud to Chip- The AI Assistant Revolution

amitabh apte

Published on LinkedIn, Substack and AmitabhApte.com on August 24, 2025

In spotlight this week: AI assistants go mainstream – Apple eyes Gemini, Google embeds it.

What if your phone didn’t just respond to you, but anticipated your needs before you spoke? This week, AI assistants took a giant leap from cloud-based helpers to embedded, proactive companions. Apple is reportedly in talks with Google to integrate Gemini into Siri, potentially transforming its underwhelming assistant into a multimodal powerhouse. While no deal is confirmed, the move signals Apple’s openness to external AI partnerships, including ongoing discussions with OpenAI and Anthropic. The goal: to bring richer, more conversational intelligence to iPhones and across Apple’s ecosystem.

Meanwhile, Google has taken a decisive leap forward with the launch of its Pixel 10 smartphone lineup, embedding Gemini AI directly into the device via its new Tensor G5 chip. The Pixel 10 series introduces features like Magic Cue, which proactively surfaces relevant info across apps, and Gemini Live, which offers real-time visual assistance based on what the phone sees. Other AI-powered upgrades include Voice Translate for multilingual calls, NotebookLM integration for smarter notetaking, and Pixel Journal for wellbeing tracking. The Pixel 10 Pro models even come bundled with a year of Google AI Pro subscription, unlocking creative tools like Imagen 4 and Veo 3.

My key takeaway: The battleground is no longer just software. It’s the device, the chip, and the ecosystem. Apple is pivoting strategically, Google is executing decisively. Both point to the same future: assistants that are native, multimodal, and deeply personal.

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

Meta + Midjourney – Meta has struck a deal to license Midjourney’s image-generation tech for future products. It’s a boost in visual creativity and a possible hedge against the lukewarm response to its own Llama 4. Partnerships like this are signals. Meta knows it needs an edge beyond its own labs.

Intel agrees 10% U.S. stake –Intel is selling a 10% stake to the U.S. government, one of the largest federal equity moves since the 2008 auto bailout. It strengthens chip sovereignty but also raises a hard question: what happens when governments become shareholders in the engines of tomorrow?

New turn in Nvidia’s chip for China – Nvidia has stopped producing its H20 chip for China after Beijing told local firms not to buy it, despite U.S. approval. It’s the latest flashpoint in the U.S.–China tech standoff. Critical AI infrastructure is seen as differentiator in increasing tense geo-political scenarios.

Coinbase firing engineers for not onboarding AI – Engineers who failed to adopt tools like GitHub Copilot were let go. Coinbase calls it “AI fluency or out.” Yes, fluency in AI is now non-negotiable. But enforced adoption without empathy risks losing talent and trust.

TCS opens AI-led operations centre in LATAM – A new AI-led operations centre marks its eighth in the region. Jobs, skills, and digital transformation are the pitch. Indian IT giants are exporting AI at scale, and LATAM is the next growth frontier.

TikTok to replace UK staff with AI –Over 85% of moderation is now automated, with thousands of roles at risk. Efficiency is up but user trust may not be. Platforms can’t trade human oversight for pure automation without ethical safeguards.

In summary: my key takeaway this weekend

This week marks a turning point. AI assistants are no longer cloud novelties, they’re becoming embedded essentials. Apple is courting Gemini. Google is hard-wiring it into Pixel 10. Meta, Intel, Nvidia, Coinbase, TikTok, each move adds to the same message: AI isn’t just a feature. It’s the new operating system of everything. The question now is not if you’ll use an assistant, but whose ecosystem you’ll live in.

Weekend Notebook #32 – GPT-5, Early AI Winners & Losers

amitabh apte

Published on LinkedIn and AmitabhApte.com on August 10, 2025

In spotlight this week: GPT-5 lands but not everyone’s cheering

The AI world has been holding its breath for GPT-5, the long-promised leap forward. Now it’s here. But instead of unanimous applause, the launch has landed like a blockbuster film breaking box office records while dividing critics.

OpenAI calls GPT-5 its most capable, reliable, and safe model yet, a multimodal workhorse for coding, writing, health, and complex reasoning. It’s faster, hallucinates less, remembers more, and can now work seamlessly across text, images, and code. Microsoft Copilot is already running on it, meaning millions will soon be using GPT-5 without even knowing it.

On paper, this is the AI assistant we’ve been promised:

  • Longer memory & context so it can finally act like a long-term colleague, not a one-off chatbot.
  • Multimodal fluency for integrated text, image, and code workflows.
  • Enterprise-grade reliability & safety for regulated industries and mission-critical work.

My early take? This is a strategic reset, simplifying model choices for users while pushing benchmark-beating features that play well in health, enterprise, and developer spaces. But some of the most enticing tools, like Google Calendar integration, sit behind the pricier Pro tier, risking a fragmented user experience.

And the user feedback? A mixed bag. Some love the speed and precision. Others miss GPT-4o’s personality describing GPT-5 as shorter, blunter, and less emotionally intelligent. My bet: early quirks will be ironed out. Whether GPT-5 is better for day-to-day use than GPT-4 or GPT-4o will be decided not by benchmarks, but by how it feels in the hands of real users.

Noteworthy this week: the AI fault lines widen

1. AI revenue champions

2. Strategic shifts

3. Human cost & disruption

In summary: my key takeaway this weekend

GPT-5’s debut shows the next chapter in AI: sophistication, integration, and enterprise deployment. OpenAI’s bet is to make AI the default productivity layer. But capability alone isn’t enough, user experience still wins hearts and adoption.

This week’s wider news makes the contrast sharper. AI is accelerating the rise of companies like Harvey, Palantir, and Duolingo, turning algorithms into revenue and market advantage. But it’s also rewriting the scoreboard in real time, pushing some players off the field entirely.

The lesson? In the AI era, the same force that fuels the winners can just as quickly leave others behind. The future of productivity isn’t just being built, it’s being fought for.

Weekend Notebook #31 – AI’s Hard Power: Data Centres, Defence, and Design

amitabh apte

Published on LinkedIn and amitabhapte.com on Sunday, 3rd August, 2025

In spotlight this week: The age of infrastructure – AI’s physical footprint

This quarter, Big Tech’s capital spending on AI infrastructure reached historic levels. Meta, Microsoft, Amazon, and Google collectively spent nearly $100 billion on data centres, chips, and hardware, more than consumer spending contributed to GDP growth. OpenAI’s Stargate Norway project, housing 100,000 Nvidia GPUs, exemplifies this shift. See quarterly earnings highlights in the later parts of this article.

What’s Happening? We’re seeing a dramatic shift in how AI is being built and scaled. The focus is no longer just on algorithms or model performance, it’s on physical infrastructure. Data centres, energy grids, GPU clusters, and sovereign compute zones are becoming the new battlegrounds. OpenAI’s Stargate project is emblematic of this shift: a hyperscale facility designed to power frontier models with industrial-grade reliability.

Why does this matter? This is the moment AI becomes tangible. It’s not just software, it’s steel, silicon, and electricity. The implications are vast:

  • Economic: AI infrastructure spend is now a macroeconomic force, influencing GDP and reshaping capital markets.
  • Geopolitical: Countries are racing to secure compute sovereignty, energy access, and chip supply chains.
  • Enterprise: For business and technology leaders alike, infrastructure strategy is now core to AI strategy. It’s no longer just about cloud contracts, it’s about latency, throughput, and deployment architecture.

My point of view – We’re entering a new industrial era, one where compute is the new oil, and data centres are the new ports. This isn’t just about digital transformation; it’s about physical transformation. For business and technology leaders, this means thinking beyond models and prompts. It’s about power, land, logistics, and latency. The infrastructure layer is where the next competitive moats will be built.

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

OpenAI’s $8.3B raise and valuation – OpenAI has raised $8.3 billion at a $300 billion valuation, with annual recurring revenue now at $13 billion. The Stargate data centre network is expanding into Europe, with Norway chosen for its hydropower and low energy demand. My PoV: This shift of OpenAI from API access to full-stack infrastructure is redefining what it means to be an AI company. And it’s a reminder that the winners in this space will be those who can scale both intelligence and infrastructure.

Microsoft hits $4T milestone – Microsoft’s stock surged past the $4 trillion mark following strong earnings, joining Nvidia in an exclusive club. Azure revenue topped $75 billion, up 34% YoY, and the company posted its fastest growth in over three years. My PoV: This is a milestone not just for Microsoft, but for enterprise AI. The company’s ability to integrate AI across its stack, from Copilot to Azure to GitHub, is translating into real revenue and market dominance. It’s also a signal that the GenAI wave is no longer hype, it’s hitting the balance sheet.

Figma’s explosive IPO – Figma’s IPO stunned Wall Street, with shares soaring 250% on debut and closing at a valuation near $60 billion. It’s the biggest design software IPO in history, and a comeback story after Adobe’s failed $20B acquisition in 2023. My POV: Figma’s success shows that design is no longer a niche—it’s infrastructure for the digital economy. In a world of AI-generated content, the tools that shape experience and interface are more valuable than ever. This IPO also signals a thaw in the tech IPO market, with design leading the charge.

Palantir’s Army contract – Palantir secured a $10 billion contract with the U.S. Army to consolidate 75 separate deals into one enterprise framework for software and data needs. My POV: This is defence AI at scale. The deal reflects how AI is becoming foundational to national security, and how enterprise platforms are being reimagined for battlefield intelligence. It’s also a reminder that the AI race isn’t just commercial, it’s geopolitical.

Earnings Pulse: Microsoft, Apple, Meta, Amazon

Microsoft Q2 earnings – Cloud and AI drove a blockbuster quarter. Azure revenue hit $75B, and the company returned $9.7B to shareholders.

Apple Q2 earnings – Posted $95.4B in revenue, up 5% YoY, with record services growth and strong iPhone 16e sales. But China softness and tariff concerns linger.

Meta Q2 earnings – Revenue jumped 22% to $47.5B, with strong ad growth and a 36% rise in net income. Zuckerberg teased “personal superintelligence” as the next frontier.

Amazon Q2 earnings – Delivered $167.7B in revenue, up 13%. AWS grew 17.5%, and CEO Andy Jassy spotlighted new AI agents like Kiro and Strands as key to future growth.

My POV: The earnings season confirms it: AI is now a revenue engine, not a research project. But the divergence is clear; Microsoft and Meta are pulling ahead on infrastructure and monetisation, while Apple and Amazon are still translating AI into product and platform wins.

In summary – my key takeaway this weekend

“The winners in AI won’t just scale intelligence—they’ll scale deployment.
It’s no longer about building smarter models; it’s about embedding them into infrastructure, products, and institutions. From hyperscale data centres to battlefield software and consumer platforms, AI is becoming the operating system of everything.”

Weekend Notebook #30 – Agents, Robotaxis, Windsurf, Scaling AI

amitabh apte

In Spotlight this Week: ChatGPT Agents-The Next Leap in Autonomous AI

This week, OpenAI introduced a significant upgrade inside ChatGPT: agents. These aren’t just smarter chatbots, they’re autonomous digital co-workers that can take action, not just provide answers.

So what are ChatGPT agents? Imagine assigning a task like “find the best flights under $800 and book one,” and the agent goes off to browse, fill out forms, download files, generate spreadsheets, or run code, all independently, securely, and within defined guardrails. It’s a major step beyond prompt and response.

Why does this matter? Until now, most AI systems have been reactive, you ask, it replies. With agents, we step into the realm of proactive AI. Tools that can reason, navigate real-world systems, and deliver outcomes. It’s not just an upgrade, it’s a rethink of how digital work gets done.

For digital and business leaders, this opens up new possibilities:

  • Deploying agents across finance, HR, marketing, or data ops
  • Freeing teams to focus on higher-order tasks like judgement, design, and decision-making
  • Building modular workflows that connect apps, documents, and tools without traditional integrations or code

Are Agents different that Agentic AI? – There’s an important distinction here. “Agentic AI” is the design philosophy, AI that plans, decides, and acts to achieve goals. What OpenAI has now launched is a concrete implementation of that vision. These agents live inside ChatGPT, wired into tools, memory, APIs, and your workspace. This is no longer theory. It’s operational.

This evolution will reshape how we approach AI in the enterprise. It changes how we think about roles, delegation, and execution. We’ll soon be designing teams where agents carry out tasks just like apps once did, only now, with autonomy and context.

Noteworthy this week: important developments across the AI and tech landscape

OpenAI has launched a $10M+ AI consulting business, embedding engineering teams inside enterprises to accelerate custom AI deployments. It marks a shift from simply offering access to models, toward driving hands-on business transformation. OpenAI isn’t just a tech vendor anymore, it’s aiming to become a full-stack AI delivery partner.

Google paid $2.4B in licensing fees to Windsurf, an AI coding startup, while simultaneously hiring away its top talent, including the CEO. The company remains technically independent, but gutted of its core team. It’s a striking example of how Big Tech is buying talent and capability without formal acquisitions. Another startup, Cognition, picked up the remainder of the team. Urgency in the AI arms race is clearly reshaping how innovation is scaled, and acquired.

Uber is investing more than $500 million in Lucid and Nuro to deploy a fleet of 20,000 AI-powered robotaxis over the next six years. It’s their biggest move yet toward owning autonomous mobility infrastructure and integrating AI into core transport systems, rather than relying on external platforms.

Meta appointed Shengjia Zhao, co-creator of ChatGPT and former OpenAI scientist, as chief scientist of its new Meta Super-intelligence Labs. Zhao will lead foundational AI research and long-term scaling. It signals Meta’s aggressive ambition to compete at the frontier of AI, with plans to invest hundreds of billions in compute and infrastructure.

Meanwhile, news publishers are facing major disruption from Google’s AI Overviews, which summarise information above traditional search links. Studies show this has led to a 79% drop in traffic for many media outlets. There’s growing concern that the economics of independent journalism may not survive in an AI-first search experience. It’s a reminder that even technically brilliant innovations need to be matched with models that protect context, attribution, and quality.

As always, the real challenge isn’t what the tech can do, it’s what we choose to do with tech.