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

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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

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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

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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.

Weekend Notebook #29 – OpenAI Agents, Acceleration of Regional AI

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AI is no longer a vertical, it’s a horizontal force reshaping every domain it touches. This week, OpenAI’s new ChatGPT Agent redefined autonomy by executing multi-step tasks like planning, research, and online actions, signalling a shift from conversational AI to operational AI.

Ex-OpenAI executive Mira Murati’s new AI startup, Thinking Machines, announced a $2 billion funding round, giving the company a $12 billion valuation. The firm will focus on open, autonomous “agentic” AI platforms for enterprises and researchers, reflecting surging investment in next-gen AI solutions

Geopolitically, Baidu’s release of ERNIE 4.5 underscores China’s open-source AI ambitions, while the U.S. chip embargo accelerates its self-reliance push. While Anthropic’s proposed federal transparency framework could become a blueprint for global AI governance.

French AI leader Mistral released new features for its chatbot Le Chat, enhancing its research, voice, and organizational capabilities. The update expands Mistral’s competitiveness against US giants and underscores Europe’s growing push into generative AI for businesses

This week’s breakthroughs from autonomous agents to geopolitical relevant AI signal a future where digital intelligence becomes a core ingredient in every value chain decision, in every region of the earth!

Weekend Notebook #28 – AI Gets Personal, and the Browser Gets a Brain

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This week’s AI and tech updates point to a clear shift: AI is becoming more personal, more proactive, and more embedded in how we work.

🧠 Browsers Are Becoming Smart Assistants: OpenAI and Perplexity are both building AI-powered browsers that don’t just search, they act. From summarising pages to booking travel, these tools are redefining how we interact with the web.

📱 AI at the Edge: Google’s new AI Edge Gallery allows large language models to run directly on mobile devices. This could be a game-changer for frontline teams, enabling real-time insights without relying on the cloud.

✉️ AI That Understands Your Voice and Style: New tools from 11 Labs and Google DeepMind are making AI more expressive and personalised, whether it’s writing emails in your tone or speaking with emotional nuance. ChatGPT’s integration with Outlook and Teams brings this power directly into our daily tools.

🧑‍💼 The Talent Race: Meta’s latest AI hire shows how fast the space is evolving and how critical it is to stay ahead.

Why it Matters:

These developments aren’t just about tech, they’re about how we work. As we continue our digital transformation, these tools offer new ways to enhance productivity, personalise communication, and bring intelligence closer to where decisions are made.

Weekend Notebook #24 – London Tech Week, OpenAI in 10 BN Club & Apple WWDC

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Today’s announcements from London Tech Week, OpenAI, and Apple highlight a pivotal moment in AI’s global evolution, accelerating technology’s impact on economic growth and innovation. I believe this redefines how technology drives economic growth and societal progress.

Nvidia CEO Jensen Huang’s statement that the UK is in a “Goldilocks” moment for AI investment underscores the country’s strong AI research base but critical need for sovereign infrastructure. Nvidia’s £1.5 billion commitment to build UK AI infrastructure and train 7.5 million people by 2030, combined with the UK government’s efforts to scale computing power and the FCA’s AI sandbox for finance, form a powerful public-private partnership to boost AI innovation responsibly. It addresses a critical gap I’ve observed: the need for robust AI infrastructure paired with talent development.

OpenAI surpassing $10 billion in annualized revenue underscores the massive market demand and trust in AI solutions. It’s a clear indicator that AI is no longer a niche technology but a foundational driver of business transformation across industries.

Apple’s WWDC 2025 further reinforces this trend, with AI deeply embedded across its ecosystem, enhancing user experience and empowering developers. This integration exemplifies how AI is becoming seamlessly woven into everyday technology, making it more accessible and impactful.

Taken together, these developments highlight a critical inflection point: AI is evolving from experimental to essential infrastructure. For technology leaders, the imperative is clear; invest strategically in infrastructure, prioritize skill-building, and foster ethical innovation to harness AI’s full potential.

Sources:

https://www.cnbc.com/2025/06/09/nvidia-ceo-says-the-uk-is-in-a-goldilocks-moment-im-going-to-invest-here.html

https://blogs.nvidia.com/blog/ai-lights-up-europe/

https://www.cnbc.com/2025/06/09/openai-hits-10-billion-in-annual-recurring-revenue-fueled-by-chatgpt-growth.html

https://www.apple.com/newsroom/2025/06/apple-intelligence-gets-even-more-powerful-with-new-capabilities-across-apple-devices/

Perplexity Integrates SEC Data

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Perplexity has introduced a new feature that provides direct access to SEC filings and financial data for all types of investors. This integration allows users to easily find and understand information from official sources like EDGAR, without needing to navigate complex documents or expensive platforms.

With this update, investors can ask questions about public companies, compare industry peers, and review earnings reports all with clear citations to original filings. The feature is designed to make financial research more accessible and transparent for everyone.

Source: Perplexity Blogpost

AI Use Case – CRM deeply connected with ChatGPT

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The AI real-life use cases are now coming thick and fast. Today HubSpot CRM has announced that they have launched deep research connector with ChatGPT.

Founder and CTO Dharmesh Shah describes this as a big day. “With this new connector, with just a few clicks the 250,000+ HubSpot customers can bring CRM data right into ChatGPT and ask really sophisticated deep research queries using that data.” He further lists as example, “analyze the new contacts created in the last 90 days and surface key trends or patterns by persona, industry, and lead source, then use the insights to refine targeting in HubSpot.“

Such integration between an enterprise software and an AI platform (OpenAI in this case), unlocks several interesting and real-life use cases for AI. As the HubSpot team lists a few use cases; such integration gives new and/or enhanced capabilities for Marketing, Sales, Customer Success and Support teams.

It’s your data, unlock better insights. Significant implications for AI in Enterprise Application space.

Creative Copyrights in the New World of AI

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The creatives believe tech giants are infringing copyrights on a large scale, by using billions of copyrighted images, texts, songs, whatever to train their AI models. The creatives also are complaining about the lack of transparency around how much and how the tech giants are get their data. The tech giants on the other hand express that the copyright laws devised many decades ago don’t apply to what they do. On this backdrop, the UK government’s “exception to copyright” proposal seems to behind the creative industries’ blistering response; an umbrella body of 37 trade organisations, called the Creative Rights in AI Coalition (Crac).

Read more: https://www.thetimes.com/article/96ebb5ed-62bf-48ff-b508-930c5cf9cc5e