When I listened to this clip from David Sacks (he’s a tech investor, and his politics aside, the numbers he shares re: exponential growth of AI seems feasible), I had a hard time imagining what the numbers ACTUALLY mean in real life. I understand the numbers, but what will that LOOK like for us?

I asked ChatGPT to help me imagine it….

From “Sounds‑Like‑Math” 👉 to “Looks‑Like‑Real‑Life”

🏠 Everyday Life

2025 (now)

2029 (1,000,000 × era)

Voice assistant books a flight after 3–4 prompts and a 30‑sec wait.

AI concierge plans a multi‑city trip—including visas, vegan restaurant reservations, and Peloton‑friendly hotels—in one natural‑language exchange, then negotiates discounts for you in the background.

Real‑time translation feels laggy; you still miss cultural nuance.

Lag‑free “universal subtitles” in AR glasses: you hear the speaker’s own voice, perfectly lip‑synced to your language and jokes culturally remixed.

You generate a Canva image in 10 sec and tweak it manually.

Real‑time video co‑creation: gesture in the air and a photoreal TikTok‑ready clip materializes at 60 fps while you speak.

💼 Work & Solopreneurship

Infinite VA bench – Instead of one VA, you spin up 20 task‑specific agents (“Podcast‑Editor‑Bot,” “Kajabi‑Funnel‑Bot,” “LinkedIn‑Ghostwriter‑Bot”) that learn your tone of voice by digesting your entire content archive overnight.
Idea‑to‑MVP in a lunch break – Tell an agent “Build me a Stripe‑connected SaaS for subscription gift boxes.” It scaffolds the code, designs the UI, sets up AWS, writes SOPs, and schedules your launch emails—while you eat.
$10‑of‑compute miracles – Today a single GPT‑4o call costs pennies. In 2029 the same pennies buy what now takes ~$10,000 of GPU time—huge models run locally on a laptop‑sized “AI card.”

🏥 Health & Science

Drug discovery: algorithms sort through 10910^9 compounds a day → cures for rare diseases move from decades to months (already happening—expect the pace to quintuple).
Personal‑omics: a full‑body MRI + genome sequence is analyzed in real‑time during your appointment; an AI nutritionist auto‑syncs your meal plan to Instacart.

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🌆 Infrastructure & Society

City‑scale digital twins update every second, letting planners simulate traffic, carbon output, and emergency routes before a single bulldozer moves.
Education: each student gets an adaptive tutor that knows every curriculum, every learning style, and never tires—closing skill gaps at population scale.
Energy management: grid‑wide AI shaves peak demand by predicting micro‑weather, adjusting EV charging, and trading power peer‑to‑peer.

🔍 Why a Million‑Fold Feels “Invisible—Then Sudden”

Algorithms – Reasoning→agents→multi‑modal “chains of thought” already cut costs 30× (Blackwell NVL72 racks deliver 30× inference speedup vs last gen) (NVIDIA)
Chips – Blackwell B200s are 4–5× H100s; Musk is ordering 300 K of them for Grok (Tom's Hardware)
Compute – OpenAI+Oracle planning 64 K GB200s at one site; capacity heading to millions of GPUs (Data Center Dynamics)

Each factor ≈ 100× in four years → 100 × 100 × 100=1,000,000100 × 100 × 100 = 1,000,000.