The AI Daily Brief: Artificial Intelligence News and Analysis - Why OpenAI's AMD Deal Could Be Bigger News than DevDay
Episode Date: October 7, 2025OpenAI’s massive new deal with AMD could reshape the AI hardware race — and may prove even more significant than DevDay itself. The episode explores the implications for OpenAI's relationship ...with Nvidia, the detials of a 6-gigawatt chip buildout, and why the deal’s stock-option structure is raising eyebrows across Silicon Valley. It also examines market reactions, renewed bubble debates, and what the DevDay “apps and agents” rollout signals for the next era of AI platforms.Brought to you by:Is your enterprise ready for the future of agentic AI?Visit AGNTCY.orgVisit Outshift Internet of AgentsTry Notion AI today with Notion 3.0 https://ntn.so/nlwKPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. https://www.kpmg.us/AIpodcastsBlitzy.com - Go to https://blitzy.com/ to build enterprise software in days, not months Insightwise - AI for the entire consulting lifecycle https://www.insightwise.ai/Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/Vanta - Simplify compliance - https://vanta.com/nlwThe Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? nlw@aidailybrief.ai
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Today on the AI Daily Brief, why OpenAI's AMD deal could be even bigger than anything announced at Dev Day,
before that in the headlines, CEOs think AI ROI is coming even faster than they did before.
The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.
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Welcome back to the AI Daily Brief Headlines edition, all the daily AI news you need in around
five minutes.
We kick off today with an interesting survey from KPMG, their 2025 global CEO outlook.
This is the 11th edition of this study, which surveys about 1,350 CEOs, all of whom have
annual revenues of at least over 500 million, and a third of which have revenues of over
10 billion. The survey was conducted between the 5th of August and the 10th of September, so this is
pretty fresh. Overall, confidence in the global economy is falling. It's at its lowest level in five
years, although not hugely, but bullishness around AI seems to be going up. A full 69% of CEOs
anticipate spending between 10 and 20% of their budget on AI in the next 12 months. Only 17% say that
they're going to spend less than 10%. Even more interestingly, in last year's survey, only 20%
said that they anticipated ROI on their AI investments within one to three years, that number
has jumped to 67%, with almost that same amount 19% saying they expect it within six months
to one year. So a major pull forward on the sense of time to value. With all that change,
they are also thinking about how talent changes. I have a job show that I've been putting together
for a while with all the latest updates on that front. And basically, I think the story of this survey
is that the response to how AI is going to have to change how they handle jobs and careers
is all of the above. Yes, 41% are planning workforce reduction in some areas, but then by significant
majorities, they're also all focused on retraining, redesigning roles, hiring new talent focused on
AI, and basically generally just changing the nature of the org chart. So in many ways,
CEOs seem to be reflecting the larger market analysis. In general, things are rough, but man,
are we bullish AI? Next up, another story from the world of consulting, although one which has been
much maligned and hyperviral for reasons that the firm in question does not want,
Deloitte will issue a partial refund to the Australian government
after turning in a report that they used AI to assist with that was riddled with errors.
The report was commissioned by Australia's Department of Employment and Workforce Relations last December
with a price tag of $290,000 U.S. dollars.
The Independent Assurance Review was intended to help assess issues
with an automatic penalty system within the Unemployment Welfare Department.
The Australian Financial Review found that the report contained multiple errors,
including citations of academic studies that did not exist.
The report was first published last December with a new corrected version published last Friday.
The Australian government made clear that the substance of the report and its recommendation had not
changed, but obviously this is a highly embarrassing episode.
Among other embarrassments are the fact that it appears that the firm, despite having the
reasoning models available to it, decided to use GBT40 instead.
Now, there are a lot of issues here, frankly the least of which in my mind is the fact that
they used AI.
Guess what? AI is going to happen.
AI is going to become the single most powerful tool of consultancies.
I believe that it will absolutely put downward price pressure on a lot of services that exist today,
but I also think that those gaps are going to be filled with all sorts of things that weren't possible before.
To take superintelligent as just one example,
we don't just charge less for discovery and do it faster.
We do it in a way that was completely impossible before.
It was never a consideration of whether you were going to interview every single employee in your firm about a particular decision.
that would just cost way too much money, and it would take way too long.
But it turns out with voice agents you can, and there are all sorts of really interesting
and exciting opportunities that opens up.
The point being that even as AI changes the cost expectations of services today, it's
going to open up all these new possibilities that simply weren't possible before,
meaning that it's not some zero-sum game where inherently the revenue of these companies
is just going to go down.
But to capture those new opportunities, they're going to have to not do stuff like this.
At a very minimum, guys, you've got to check your citations.
This was also a very rough day for this news to break,
because separately, Deloitte and Anthropic announced a sweeping new partnership
that will make Claude available to more than 470,000 global Deloitte personnel.
This is Anthropics' largest enterprise AI deployment to date,
and in addition, the two firms are partnering to develop a formal certification program
to train and certify 15,000 practitioners.
They will develop compliance features to make AI use compatible with highly regulated
industries like finance, health care, and public services, and Deloitte plans to make use of
Claude's customization features, building out different personas for different groups of employees.
Look, obviously here, the Anthropic deal is the much bigger story than this one random,
errant report, which seems pretty clearly to be a mistake of human judgment of the small
team that was responsible for that report. If anything, it validates the need for this sort of
training. And so, hey, maybe I'm wrong, and maybe yesterday was the perfect day to make this
announcement. Last day, we move over to a fun product announcement. 11 Labs has shipped
a new tool called agent workflows. It allows users to design complex logic for voice agents
using a visual interface similar to N8N, Zapier, Lindy, or OpenAI's newly introduced agent
builder. Rather than using a single voice agent, users can define a system of subagents,
together with rules that govern when a conversation will be passed from one subagent to another.
Each sub-agent can be configured individually and can use different models as well as
tapping into their own task-specific tools and knowledge bases.
This allows users to optimize each step of the workflow for cost, accuracy, latency, or whatever
other considerations matter most of them.
So to take an example, you might set up a customer service agent workflow to start off
using a lightweight model to take customer details.
That lightweight model would then hand off to a sub-agent running a more powerful model
to receive the query and troubleshoot the correct resolution, then hand back off to a
sub-agent optimized for tool use to interact with your logistics backend and action that
resolution.
The system also allows users to set clear rules on how and when a call will.
will be escalated to a human worker.
All of this strikes me as extremely intuitive
and exactly the sort of thing
that's going to help companies put these tools
into production in a much bigger way.
AI for Success writes,
this is how you build production-grade
conversational systems that won't break in the real world.
He continued,
current voice agents have fundamental problems.
Prompt engineering doesn't scale
because those 5,000 token prompts break
when you change anything.
You have no visibility into what's happening,
can't audit what went wrong,
or test individual pieces.
It's a pure black box.
Security is impossible too. You can't control system access without writing complex prompt
tax that break constantly. This is perfect for developers tired of debugging massive prompts,
companies moving from proof of concept to production, and enterprise teams needing auditable
AI workflows. If your agent works in demos but fails with real users, this fixes it.
I think it's a great update. I think it's going to make 11 labs tools massively more useful,
and so I am excited to see how people take advantage of it. For now, though, that is going to do it
for today's AI Daily Brief Headlines edition. Next up, the main episode.
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Welcome back to the AI Daily Brief. Today we are first talking about this massive OpenAI AMD deal and why it might be.
be an even bigger deal than the things that were announced at Dev Day. And then we are following up
with the benefit of a day of reactions and responses to see how the announcements from Dev Day are
settling into the community. So even before the lights went up at Fort Mason and OpenAI announced
Agent Builder and apps and all the things that it announced, they were making news with a massive
new deal with AMD. The deal will theoretically see OpenAI deploy six gigawatts worth of AMD AI
chips over multiple years. And boy, are there a lot of takes going around with this. First of all,
there are the implications for AMD itself. AMD relative to Nvidia is one business battle where
the number two is not even in the same league as number one, at least when it comes to market
response. This is, in fact, the biggest deal that AMD has signed, as CEO Lisa Sue put it.
She wrote, this is certainly the largest deployment we've announced so far. Now we're embarking
on a massive buildout. It's a big deal for us, for our shareholders, and for our team.
Now, the deal is not traditional.
As part of the deal, OpenAI acquired the option to purchase 160 million AMD shares at a penny
apiece, which represents around 10% of the company.
AMD shares have not traded below $50 in the past five years, so this represents a 99.9%
discount under any foreseeable market conditions.
The options are tied to OpenAI's purchase and deployment of AMD chips, as well as
AMD stock price increasing.
Sue said that she wanted to ensure that, quote, open AI would be able to be able to be able to
be motivated for AMD to be successful. And the more OpenAI deploys, the more revenue we get,
and they get to share on the upside. On OpenAI side, the deal is all about securing as many
chips as they can from any source available. Sam Alvin said, it's hard to overstate how difficult
it's become to get enough compute. We want it super fast, but it takes some time. Now, given
NVIDIA and OpenAI's recent deal, some people were surprised to see OpenAI jump in bed with
Nvidia's competitor, AMD.
Bubble Baby Boy on Twitter went viral with the tweet that said,
Sam has crossed the one person you don't cross.
He only exists because Jensen says so.
It's going to get ugly here.
Allman clearly thinks that this is not the moment for that sort of competition,
and we are very much in a all-boats rise kind of phase.
Said Altman in the Wall Street Journal,
we're in a phase of the buildout where the entire industry's got to come together
and everybody's going to do super well.
You'll see this on chips, you'll see this on data centers,
you'll see this lower down the supply chain.
Of course, for those looking for signs of a bubble, this absolutely reignited that conversation.
Tashi Michel from Tam Capital Management said,
This deal feels like a jump-the-shark moment.
The deal structure is just so stupidly unbelievable.
Matt Levine had a much retweeted take.
In his newsletter, he wrote,
How did those negotiations go, like schematically?
OpenAI says, we would like six gigawatts worth of your chips to do inference.
AMD says terrific, that'll be 78 billion.
How would you like to pay?
Open AI says, well, we were thinking that we would announce your deal
and that would add $78 billion to the value of your company, which should cover it.
AMD, no, pretty sure you have to pay for the chips.
OpenAI says why.
AMD says, I don't know, just seems wrong not to.
Open AI says, okay, why don't we pay you cash for the value of the chips and you give us back stock?
And when we announce the deal, the stock will go up and we'll get our $78 billion back.
AMD says, yeah, I guess that works, though I feel like we should get some of the value.
Open AI says, okay, you can have half.
You give us stock worth like $35 billion and you keep the rest.
You also saw some folks like Paul Tudor Jones weigh in with their renewed bubble calls.
As reported by Walter Bloomberg, Paul Tudor Jones told CNBC that stocks could surge sharply before a blow off top,
once again comparing today's setup to the 1999 tech bubble.
Now, PTJ was talking about far more than just the sort of open AI deals.
He was also looking at broader macro conditions as well.
Overall, unfortunately, we are due for another bubble show as this conversation has surged once again.
There are also plenty of people out there still pointing out what makes this cycle different.
Most notably the fact that so far at least this Cappex boom is not funded by debt.
In other words, the hyperscalers who are making these KAPX bets are not leveraged.
There's also another interesting dimension to explore, which Doug O'Loughlin from Semi-Anlysis put
this way, the real issue, he said, is how much liquidity the private credit market can handle.
They're sitting on an ungodly amount of capital and they have to deploy it.
Still, when it came to the immediate term reactions, for traders on Wall Street, this was a moment
to get enthusiastic or get out of the way.
Amdi stock ripped by 24% following the deal announcement, getting close to their all-time
high from last March.
And by the way, it was not just AMD.
Companies that were mentioned on stage during Dev Day also saw a big pop.
HubSpot was up as much as 10%.
Figma was up 15%.
Even HumbleBookings.com and Coursera were up 2% and 4% respectively.
Like I said, we are going to have to come back to this bubble conversation later in the week.
But for now, let's turn back to Dev Day and see how narratives are settling now a full day after the announcements.
So to briefly recap everything that was shipped at Dev Day,
The two big announcements were apps in chat GBT that you could now interact with things like Canva
and Bookings.com and Coursera and Expedia and eventually a whole slew of other things
directly from within that chat GPT window.
And of course, the other big announcement was Agent Kit, a new tool for building agents.
That's the one that we had started to hear about about 24 hours before Dev Day.
We also got a bunch of updates around the API.
SORA 2 and SORA 2 Pro are now in the API as is GPT5 Pro.
plus there were a bunch of updates for Codex, including Codex and Slack.
And separate from Dev Day, they also announced a cheaper image model and a cheaper
real-time voice model.
Now, I did my highly scientific gut check of what people thought was the most exciting
announcement at Dev Day, and it was pretty split between apps and agent builder,
with SORA 2 and GBT5 Pro in the API making a nice little showing as well.
But as the messages have settled in, I think that there are a few big conversations that stand out.
The first is that, at least in my little corner of the world,
people are more bullish than I might have even thought about the apps feature.
I had wondered if folks were going to think it was just GPT's 2.0,
which was one of the main things I talked about in yesterday's rapid reaction episode,
but instead it definitely seems like people have a sense that there could be a major
interface inflection here.
Investor Hemet Pohoptra writes, chat GPT is the next browser.
Swix pointed out that it's even better on mobile saying,
does this look like a browser? It's not.
It's the chat GPT app being your browser.
V.C. Anishichari writes,
an open question was answered today.
What will the AI-native distribution channel be?
It looks like ChatGPT will be that channel with 800 million active users and the apps SDK.
This is likely as important as Steve Jobs announcing the App Store in March of 2008.
Now, we've heard that analogy before, but the fact that it's coming back up is telling in and of itself.
And just like with the App Store, one of the other points of conversation is the interesting
trade-off that companies now face.
Keep control of your experience with your own app or focus on accessing those 800 million potential
customers by building in someone else's experience. Another analogy that was being thrown around a lot
was ChatGBT as the non-Chinese Everything app. Signal writes ChatGPT is turning into WeChat,
and more than a few folks made the joke that at this point, chat GPT looks more like the
Everything app than X does, despite Elon Musk's explicit intention to turn X into the Everything
app. Aaron Levy from Box, who was one of their launch partners, points out still how early we are
in figuring out what the next generation of interfaces actually look like. He wrote,
open AI's apps and chat GPT are a great example of how early we've been with agendic design patterns.
This update is like going from DOS to the early stages of Windows or Mac.
We've been living in a text-only interaction paradigm for nearly three years with AI,
yet if history tells us anything, we know that the tools are going to have to get far
more interactive.
He basically says that while there is a lot of stuff that's great about text, for example
how fast it is, it's not necessarily the best interface for monitoring what an agent is doing.
He concludes chat CPT's apps are a great first entry into what disparate interactive
of guis could look like when showing up in a common interface. They nailed a bunch of the right
early interaction challenges in this first rev. One thing that will become tricky, of course, he writes,
is how the industry coalesces on some form of standardization for these interaction patterns.
We're most likely in for a set of OS wars like we've seen on desktop and mobile, now with
potentially even higher stakes. And this idea of chat GPT as expanding its footprint is not just
coming from outside, it's also coming from within. During a Q&A with reporters, head of chat GPT
Nick Turley said what you're going to see for the next six months is an evolution of chat
GPT from an app that is really, really useful into something that feels a bit more like an operating
system. Within chat GPT, he said, people will be able to access services and software, both
existing software that they're used to using and new software built natively atop chat chabit.
All right, so that's where a lot of the talk about apps is, but what about agent builder?
In that case, the initial bullish response seeded a little bit to a bunch of critiques around
the UI.
This screenshot of just a very confusing control panel has been flying around on X a lot.
And one of the people who shared it was Gosu Coder who wrote,
I had some time to think about OpenAI's agent kit.
I think my thoughts can be summed up as,
somehow we ended up circling back to no code, which didn't really work out before.
But the quick deploy of these agent workflows were resulted in a ton of use,
so I could see this getting a lot of use,
seeing this image floating around, which looks pretty rough, but I'm sure they will improve it.
I like this take because it embodies the, well, I'm not sure,
but maybe kind of thinking that I think a lot of people have around this.
Forkwan Redan was more critical of that UI, saying,
OpenAI's agent kit launch shows the industry is still thinking in old paradigms.
Visual builders and drag-and-drop canvases feel like we're creating no-code tools from a decade ago.
The real breakthrough will be a conversational agent that lets you describe what you want in natural
language and it builds itself.
No canvas, no nodes, no workflows.
I'm Jabez from Replit agrees, saying AI was supposed to save us from UIs like this,
which is why we bet on a pure natural language interface for Replit's
agent builder. Visualization is there for debugging and understanding not building. Still, Gergerlio
Rose writes, I really don't think most people appreciate the difference between shipping something
in six weeks, beating the global competition, i.e. first to offer an agent workflow builder,
then fixing up small issues in six more weeks, versus building for six months and no one cares by
launch. I think there are a couple things going on here. The first of all, broadly speaking,
I totally agree that the broad paradigm that for mass usage, we're going to have to shift to a different
type of UI paradigm than this sort of drag-and-drop workflow builder thing that we've had for a long,
long time now. I think that style of interface is extremely intimidating. It's got a high barrier to entry,
but also that makes me think that this product isn't designed for the average user. This doesn't
feel like in this state it is meant to be a consumer-facing tool. It's instead supposed to have
more fine-grained control for developers who are building with this. Maybe I'm wrong about that,
but that's my interpretation. So I think between that and Gergerle's point, that speed and velocity
the are basically the only thing that matters, I think it starts to make a bit more sense.
Now, when it came to the Q&A with Sam Altman and Greg Brockman that happened after the keynote,
there wasn't all that much that was novel and worth sharing, except for the fact that they do
seem to be thinking a lot more about enterprise and B2B issues than I might have thought.
Brockman said that boring enterprise problems are still massively underserved by AI startups right now,
and of course, building an enterprise AI startup, I totally agree.
Sam Altman also mentioned that they feel like their forward-deployed engineers
are getting closer to having a templated kind of understanding around how to implement AI inside
enterprises, so I will definitely be watching to see if anything interesting comes from that.
A lot of the chatter following the event was all about just how powerful Codex is, embodied, if nothing
else, in how much it's being used internally to open AI to ship at this crazy velocity that
they're currently shipping at. Some of the stats that they shared were that 92% of the technical staff
are now using Codex daily. 70% more PRs are submitted per week by engineers that use Codex as
opposed to those who don't, and 100% of PRs are now reviewed by Codex.
OpenAI, Stephen Hydele wrote,
It's difficult to overstate how important Codex has been to our team's ability to ship new products.
For example, the drag-and-drop agent builder we launched today was built end-to-end in under six weeks,
thanks to Codex writing 80% of the PRs.
Hater at Slow Developer points out that this matches the AI 2027 reports,
2026 forecast, four coding automation going mainstream, agents working like teammates,
and AI R&D speeding up because of algorithms, not just compute.
Ali Miller thinks that the implications are for way beyond OpenAI.
She wrote every team's coding workflow just changed.
Code review at OpenAI reviews every PR when they come in.
Codex SDK is software that builds more software, turns your app into a self-evolving app.
She even thought that the Codex and Slack integration was maybe being undersold as a representation
of just how team-aity codex is getting.
She writes using Codex and Slack lets you tag in Codex as a teammate to
go off and take action. And I think this idea of software that can update itself vis-a-vis
codex is something that we're going to see a lot more discussion of soon. GDP who does AI at
Amazon wrote, Codex SDK has to be the most brilliant announcement of the OpenAI Developer
Day. Now you can have apps that are updated in real time in response to user feedback and
complaints. There are going to be a lot of strange effects to this, but it is mind-boggling
that this is even possible. Finally, I also did want to give a shout out that while it wasn't
The primary emphasis of the day, we did see yet again the cost performance frontier continued
to shift. OpenAIs Sherwin-W tweets,
Don't sleep on GPT Real Time Mini, a 70% cheaper version of the full-size model.
This should make many voice workflows cheap enough to deploy widely.
But the real surprise, our internal qualitative testing has its scoring higher than even GPT
real-time for voice quality.
As we've discussed, I think increasingly, as we get to bigger deployments and larger,
especially enterprise workloads, cost is going to be.
matter in a way that hasn't in the past, and so the cost performance frontier continued to be
pushed out is ultimately actually significant. The last note today, as Dev Day came to a close on
Monday, Sam Ullman brought Johnny Ive on stage for a fireside chat about the OpenAI devices.
I've revisited his core thesis for the range of devices stating, when I said we have an uncomfortable
relationship with our technology, I mean, that's the most obscene understatement. We have a chance
to not just redress that, but absolutely change the situation we find ourselves in. That we don't
except this has to be the norm.
Earlier this week, we got reports that Ives' team was battling a string of technical issues
that could delay release, with the F.T. claiming that they were having problems with personality,
inference, and implementing an always-on approach, so basically everything involved in the device.
While Ive didn't mention this directly, he did make it seem like the team was still exploring
approaches and didn't have a firm roadmap that could even be delayed in this manner.
He said that the progress is still moving rapidly, adding,
that momentum has led us to create 15 to 20 really compelling product ideas.
The challenge is to focus.
It would be easy if you knew there are three good ones. It's just not like that. We're designing a
family of products, and we're trying to make sure we're judicious and thoughtful in what we focus on
and then to not be distracted. So alas, for those looking for hints, they are still very few and far between.
And in any case, that's the wrap-up. Big news in the markets. Big chatter among developers.
Got to think it's a pretty successful day for OpenAI. For now, that is going to do it for today's
AI Daily Brief. Appreciate you listening or watching as always. Until next time, peace.