Exponential View 🔮 @ExponentialView

Unlocking the near future • AI • hardware • energy • economy • geopolitics • climate change • business → newsletter 📧 podcast🎙️ community👐 exponentialview.co Join 100,000+ (it's free) → Joined May 2016

Tweets

5K
Followers

16K
Following

2K
Likes

4K

Ronit Ghose @ronitA380

2 days ago

Anthropic catches up with Jane Street by year end 2026 on current revenue/employee run rate trend Below actuals from @azeem

7 2 11 432 1

View Details

Aymeric Pontier @aympontier

a week ago

Pour la première fois en 70 ans, le prix effectif des transistors augmente : il a doublé entre 2023 et 2026. Trois raisons : la demande créée par le boom de l'IA, la mémoire coûte plus chère, tout comme les nouvelles techniques de gravure. Par @ExponentialView

2 35 61 3K 7

View Details

P Equity Research 📰 @pequityresearch

a week ago

Monthly token volume for inference reached 39 quadrillion in September, 7.9x the volume from September 2025 and +16% MoM. Via @ExponentialView $NVDA $AMD $GOOGL $AMZN $META $MSFT

4 15 83 9K 18

View Details

Navin Kabra @NGKabra

a week ago

GLP-1 drugs (the weight loss wonder drugs that have an insane list of other good side effects) are a bigger deal than AI? via @ExponentialView

3 2 8 779 1

View Details

Exponential View 🔮 @ExponentialView

4 months ago

Full report: exponentialview.co/p/the-state-of…

0 6 23 4K 47

View Details

Exponential View 🔮 @ExponentialView

4 months ago

THE STATE OF THE AI ECONOMY 🧵

Azeem Azhar @azeem

4 months ago

The GenAI economy has generated $110 billion in sales over the past 12 months. It is growing fast. On an annualized basis, the revenue run rate exceeds $175 billion. These numbers took us several months to construct, and as far as we know, it’s the first bottom-up, deduplicated

84 431 2K 1.6M 2K

1 1 16 7K 13

View Details

Raghav Agarwal @0xRaghav

4 months ago

Once you truly understand what part of the process is increasing token consumption, you will be forced to use AI in a completely different fashion. According to the analysis presented by @ExponentialView "A coding agent that operates over 10 turns might need to re-read its full context every turn. That repetitive reading of context could use as many as 55x more tokens than a single-turn query for the same task. Actual active inference is probably only 15-20% of the total token consumption. The rest is invisible work that you, as a user, and possibly the company paying for it all, haven’t modelled." Proper documentation standard and knowing how to provide context effectively helps you reduce your token consumption. Think of token usage like fuel for your car. Don't waster it regardless of what model you are using.

Raghav Agarwal @0xRaghav

5 months ago

x.com/i/article/2062…

1 3 23 4K 17

0 4 8 3K 11

View Details

Foundation Capital @FoundationCap

4 months ago

We’re excited to share that AI in the Real World with Foundation Capital is now live on all major podcast platforms! Tune into our latest episode with @azeem of @exponentialview, where he and @joannezchen discuss the ways in which the great reorg is only just getting started, now on Spotify, Apple Podcasts, YouTube, and more. youtu.be/gYGyfHRwGTU

1 2 2 2K 0

View Details

Navin Kabra @NGKabra

5 months ago

@aparanjape Want to maximize your use of AI but still give your brain enough exercise? Maybe buy a good quality notebook and fountain pen, as @ExponentialView suggests, and spend a few hours every week thinking with paper and pen. cc: @docbhooshan

1 2 8 2K 1

View Details

GigaTrion @GigaTrion

5 months ago

Azeem and his prop research is so good. Been subscribed to substack for almost a year. Truly novel and informative

Azeem Azhar @azeem

5 months ago

A general-purpose technology can sit inside firms for ages before we see the results. It happened with electricity, it’s happening with AI.

17 46 327 162K 212

0 1 7 1K 0

View Details

Dan Shipper @danshipper

5 months ago

Extremely smart take on the tokenmaxxing panic and why it won’t last:

Azeem Azhar @azeem

5 months ago

A general-purpose technology can sit inside firms for ages before we see the results. It happened with electricity, it’s happening with AI.

17 46 327 162K 212

11 30 267 55K 224

View Details

Epoch AI @EpochAIResearch

5 months ago

Are we nearing a compute crunch? In our latest Gradient Update, @luke__emberson and @Jsevillamol estimate how many tokens all the Blackwell chips on Earth could serve, and compare this to total token demand. Direct comparisons are difficult, but it appears demand is growing much faster than supply.

7 34 271 30K 142

View Details

Exponential View 🔮 @ExponentialView

5 months ago

📈 Why AI bills rise as costs fall exponentialview.co/p/data-to-star…

1 1 1 931 4

View Details

Shanu Mathew @ShanuMathew93

5 months ago

.@ExponentialView estimates that the number of tokens processed per quarter has grown by around 17,000x over four years.

2 10 35 6K 31

View Details

Azeem Azhar @azeem

5 months ago

Tokens are exploding. Enterprise AI bills are getting bigger. And both trends are accelerating at the same time. 🧵

2 1 2 1K 2

View Details

Daily Chartbook @dailychartbook

5 months ago

"In the US, the average monthly spend on AI by large enterprises grew 36% to $85,000 between 2024 and 2025" @azeem @ExponentialView

0 6 23 5K 5

View Details

Ibrahim Ajami @IbrahimAjami

5 months ago

The cost killers are coming Via @azeem

3 14 129 21K 58

View Details

Azeem Azhar @azeem

5 months ago

Uber & ServiceNow blew through their 2026 token budgets in four months. AI is diffusing fast and finance is scrambling: exponentialview.co/p/monday-data-…