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I read Mary Meeker’s 340 Slide AI Deck—Here Are the Top Takeaways
The deck: https://www.bondcap.com/report/tai/#view/3
The substack: https://open.substack.com/pub/natesnewsletter/p/i-summarized-mary-meekers-incredible?
My site: https://natebjones.com/
My links: https://linktr.ee/natebjones
My substack: https://natesnewsletter.substack.com/
Takeaways:
1. Unprecedented Adoption Curve: ChatGPT vaulted to 800 million users and 365 billion annual searches in just two years—five times faster than Google’s early climb—showing AI’s break-neck consumer uptake.
2. Infrastructure Arms Race: NVIDIA-powered GPU compute has risen 100× since 2019, while Big Six cloud CapEx and data-center spend have surged, fueling the backbone of the AI boom.
3. Costs Fall off a Cliff: Energy per LLM token is down 105,000× and inference costs 99.7 % in two years, unlocking new use cases and shrinking barriers to entry.
4. Model Performance Converges: Arena scores now cluster OpenAI, Google, and DeepSeek, signalling a “multi-winner” landscape rather than a single dominant model.
5. Funding vs. Revenue Mismatch: Model builders have raised ≈ $95 billion against only ≈ $11 billion in annualized revenue—an overhang that may force higher prices or new monetization plays.
6. Diverging B2B vs. B2C Futures: Consumers gravitate to ChatGPT, but B2B remains wide open for niche, high-value tools that leverage cheaper tokens and specialized workflows.
7. Agent Hype, Sparse Reality: Searches for “AI agent” are up 1,088 %, yet real deployments thrive mostly inside deep-pocketed firms or tightly scoped products, leaving a mid-market void.
Quotes:
“ChatGPT reached 365 billion searches in two years—five and a half times faster than Google ever did.”
“It’s now 105,000 times cheaper to generate an LLM token than it was a decade ago.”
“Model makers have raised ten times more capital than they earn today, and sooner or later that bill comes due.”
Summary:
Mary Meeker’s first report in five years lays out AI’s breathtaking acceleration. I walk through her 340-slide deck, noting ChatGPT’s explosive user growth, massive hardware build-out, and plunging costs. GPU compute is up 100× since 2019 while energy per token has fallen 105,000×, letting model performance converge across OpenAI, Google, and DeepSeek. Yet model vendors face a $95 billion funding overhang versus $11 billion in revenue. Consumers already favor ChatGPT, but I see richer opportunity in B2B niches and infrastructure ‘pick-and-shovel’ plays. Hype around agents is real, adoption less so. Investors will treat this deck as this year’s AI compass.
Keywords:
Mary Meeker, AI trends, ChatGPT, user growth, GPU compute, token cost decline, model convergence, capital overhang, B2B AI, AI agents, pick-and-shovel, Nvidia
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Newsworthy: Calm News rates how significant today’s world news is, from 1 to 10. Search ‘Newsworthy Calm News’ on the App Store.
One score for the news, with one plain sentence about the development behind it, and the time it was updated. Not an endless feed.
Newsworthy’s front page on 12 Nov 2026: 5 out of 10, with its top story, Nvidia’s announcement that Jensen Huang had resigned as CEO.
Made by the developer of Newsworthy. Music: Apple Loops.
#newsworthy #news #worldnews
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333 का पहाड़…जवाब में 000 | India Vs NewZealand
भारत बनाम न्यूजीलैंड मुकाबले में 333 रनों के लक्ष्य का पीछा करते हुए टीम इंडिया की चौंकाने वाली शुरुआत! रोहित शर्मा, विराट कोहली और श्रेयस अय्यर बिना खाता खोले पवेलियन लौट गए। मैट हेनरी की घातक गेंदबाजी के सामने भारतीय टॉप ऑर्डर लड़खड़ा गया।
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