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  3. /Blackstone says Wall Street is complacent about AI disruption
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  3. /Blackstone says Wall Street is complacent about AI disruption
Oct 18, 2025 at 11:29 AM EDT

Blackstone says Wall Street is complacent about AI disruption

master_crab
8 points
4 comments

Mood

calm

Sentiment

mixed

Category

other

Key topics

AI Disruption

Wall Street

Financial Markets

Debate intensity20/100

Blackstone warns that Wall Street is underestimating the potential disruption caused by AI, sparking discussion on the implications for the financial industry.

Snapshot generated from the HN discussion

Discussion Activity

Light discussion

First comment

37s

Peak period

4

Day 1

Avg / period

4

Comment distribution4 data points
Loading chart...

Based on 4 loaded comments

Key moments

  1. 01Story posted

    Oct 18, 2025 at 11:29 AM EDT

    about 1 month ago

    Step 01
  2. 02First comment

    Oct 18, 2025 at 11:30 AM EDT

    37s after posting

    Step 02
  3. 03Peak activity

    4 comments in Day 1

    Hottest window of the conversation

    Step 03
  4. 04Latest activity

    Oct 18, 2025 at 3:31 PM EDT

    about 1 month ago

    Step 04

Generating AI Summary...

Analyzing up to 500 comments to identify key contributors and discussion patterns

Discussion (4 comments)
Showing 4 comments
MarkBagh
about 1 month ago
1 reply
Building an AI-powered SaaS right now and the cost economics are wild. 18 months ago, running GPT-4 on every user interaction would've bankrupted most startups. Today it's $10-20/user/month and dropping. this is the disruption curve Blackstone is talking about. Once AI becomes "cheap enough," entire business models flip. Industries with high-margin knowledge work (finance, consulting, law) are sitting ducks. Wall Street sees the tech, but underestimates how fast costs drop + capabilities improve. We're in the iPhone moment of AI.
tharne
about 1 month ago
1 reply
Are those $10-20/user/month costs sustainable? As I understand it, a lot of the price tags we're seeing now reflect steep discounts underwritten by massive debt and VC money.

The other thing I wonder about with respect to cost and availability, at least in the U.S., is the fact that our electrical grid is in shambles and there's a ton of deferred maintenance. Even if AI can deliver on its promises, do we even have the infrastructure in place to power it?

These are just two issues; I'm sure there are more, and I imagine Wall Street is taking some of this into account in their analyses.

taraindara
about 1 month ago
Depends on which part we’re betting on survive the bubble pop. There’s a lot of capability being dismissed in low power inference while the large players push they need more money for large inference. After the pop people will start realizing how much benefit we can get without needing to create a Dyson sphere. More power is needed for continued major progress, but little power is needed for what’s going to stabilize as the normal use 95% of people need. Businesses will be users of the pricey inferences.

Only time will tell how things really play out. But these are my predictions as of today.

master_crab
about 1 month ago
https://archive.is/W7Rnm
View full discussion on Hacker News
ID: 45628120Type: storyLast synced: 11/17/2025, 9:04:16 AM

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