Learning Library

← Back to Library

AI Expectations: Nvidia Earnings & California Bill

Key Points

  • Nvidia posted record‑breaking year‑over‑year revenue growth and beat its own earnings outlook, yet its shares fell because analysts had set even higher expectations for future chip demand.
  • The market’s focus on Nvidia’s ability to exceed aggressive forecasts underscores how AI “expectation games” are driving stock valuations more than raw performance.
  • California’s newly passed SB 1047 mandates transparency and safety reporting for frontier AI models costing over $100 million, aiming to prevent catastrophic “rogue AI” incidents that could cripple critical infrastructure.
  • Major tech firms (Google, Meta, Microsoft, OpenAI) oppose the bill while Elon Musk and Anthropic support it after amendments, leaving its ultimate fate pending Governor Gavin Newsom’s decision.

Full Transcript

# AI Expectations: Nvidia Earnings & California Bill **Source:** [https://www.youtube.com/watch?v=4W-uIjWqurE](https://www.youtube.com/watch?v=4W-uIjWqurE) **Duration:** 00:05:31 ## Summary - Nvidia posted record‑breaking year‑over‑year revenue growth and beat its own earnings outlook, yet its shares fell because analysts had set even higher expectations for future chip demand. - The market’s focus on Nvidia’s ability to exceed aggressive forecasts underscores how AI “expectation games” are driving stock valuations more than raw performance. - California’s newly passed SB 1047 mandates transparency and safety reporting for frontier AI models costing over $100 million, aiming to prevent catastrophic “rogue AI” incidents that could cripple critical infrastructure. - Major tech firms (Google, Meta, Microsoft, OpenAI) oppose the bill while Elon Musk and Anthropic support it after amendments, leaving its ultimate fate pending Governor Gavin Newsom’s decision. ## Sections - [00:00:00](https://www.youtube.com/watch?v=4W-uIjWqurE&t=0s) **Nvidia Earnings Defy Expectations** - Despite beating forecasts and posting roughly 120% year‑over‑year revenue growth, Nvidia’s stock dropped because investors’ ultra‑high expectations for AI chip demand weren’t fully met, underscoring how market expectations shape perceived success. ## Full Transcript
0:00real quick we have two pieces of AI news 0:02that basically resolve down to 0:05expectation games in AI number one is 0:08nvidia's earnings yesterday so Nvidia 0:11published earnings after the close of 0:12the markets on August 28th and everyone 0:16would think that you'd be happy about it 0:18they beat on the earnings projection 0:20they'd given they Advanced the earnings 0:24projection for next quarter ahead of 0:27what the street had expected they 0:30delivered phenomenal year-over-year 0:31growth I think it was 120% or close to 0:34in Revenue absolutely amazing and the 0:37streets still cut the stock price after 0:40hours so was trading down like 4% after 0:42hours why is that because expectations 0:45are through the roof and the expectation 0:46game is what matters sometimes on the 0:48street it's your ability to Beat the 0:51Streets forecast by a certain amount 0:54that they care about and Nvidia did not 0:55do that and why that matters is because 0:58Nvidia is something that street is 1:00watching to see if AI is continuing to 1:05accelerate because they're looking for 1:06whether chip demand is continuing to 1:08grow and so even though the street 1:09provided a very aggressive forecast for 1:12upcoming growth so we can still see sort 1:15of that they are expecting more chips to 1:17be 1:18sold the street wanted more and more and 1:20more and didn't get it expectations are 1:23shaping the financial reality now 1:26nvidia's employees are still doing just 1:28fine I read a report that one and three 1:30of them is worth $20 million so you know 1:32let's not let's not rush to to weep just 1:35yet number two contentious California 1:38bill so s SP 1:401047 is a bill for AI safety that just 1:44passed the California state legislature 1:46and is now headed to Governor nome's 1:49desk the goal here it's kind of like 1:52sock 2 if you're familiar with B2B uh 1:55software and compliance you basically 1:56need to be very clear and public and 1:58transparent if were building Frontier 2:00models spending more than $100 million 2:02on a Model what you are going to do 2:04about safety for that model but what's 2:07interesting to me in the same 2:08expectations game setting space is that 2:12at the end of the 2:14day what they are trying to protect from 2:18is a lot like Terminator is the Skynet 2:21scenario where AI goes Rogue AI takes 2:24over critical infrastructure systems AI 2:27controls Something That Matters to 2:29theity or the county or the state and 2:31does hundreds of millions of dollars in 2:33Damages you can imagine AI shutting down 2:34an airport AI shutting down a hospital 2:37those are the kinds of things that this 2:39bill is worried about and trying to 2:41preclude through essentially sock 2 2:45style process and Reporting 2:48standards now this has been widely 2:50opposed so Google opposes it meta 2:53opposes it Microsoft and open AI oppose 2:55it uh Elon Musk has supported it and 2:59anthropic has has supported it after 3:01some amendments to relax it a little 3:03bit we will see where it ends up it's 3:05not clear if Gavin Nome will approve it 3:09or not we shall find out the thing that 3:12matters though is that they are only 3:15writing the Bill as far as I can tell 3:18about a particular disaster scenario and 3:21trying to preclude that and we have not 3:24yet seen evidence that we can 3:28actually see at attack vectors from llms 3:31for the disaster scenario they're 3:33describing and they are saying as 3:34advocates of the bill like the state 3:37legislature uh members who support the 3:39bill are saying we don't have to see it 3:41we want to preclude it because it's so 3:42disastrous if it happens I would 3:46argue that we need to be thinking 3:49holistically about AI risk and not just 3:52assume that it's going to look like 3:53Skynet we need to think about AI risk in 3:55terms of disinformation for example 3:57because we are starting to see that in 3:59the wild today people imitating other 4:02people's voices with AI people who are 4:04able to gain access or unauthorized 4:06access to accounts or property with AI 4:09those kinds of things we are seeing 4:11happen in the wild disinformation we're 4:13seeing happen in the wild 4:15today but we're not actually seeing the 4:17attack vectors that this law is designed 4:19to to go after and so you know part of 4:23me wants to say maybe we should focus on 4:26the harms that we're seeing right in 4:27front of us and making sure that we have 4:29really clear standards and guard rails 4:30around that and maybe we should think 4:34carefully about where we expect llms to 4:36go before we rush to craft 4:39laws about imagined harms that we've 4:42seen in Sci-Fi movies but haven't really 4:43seen evidence of here in 4:46reality because the llms we're getting 4:48are not really like the llms in sci-fi 4:50they're not these mechanical sideboard 4:52creatures they're very fallible they're 4:54very flawed they remind us a lot of 4:57people and 5:00I just don't know if that mental model 5:01is correct so what do you think those 5:04are the two pieces I thought both of 5:05them you know the Nvidia one and the S 5:08SP 10471 ties into this mental 5:10expectation game we have in AI right now 5:13and expectations shape our reality when 5:15we collectively act on our expectations 5:17we are shaping what actually happens 5:18that bill could become law the Nvidia 5:22market cap is you know 3 4% lower right 5:26now what are your expectations and are 5:28they in line with reality