The tech sector remains resilient despite a consolidated summer marked by market dispersion and increased stock picking. While the AI narrative has evolved from a narrow infrastructure focus to a broader ecosystem involving cybersecurity, data infrastructure, and consumer AI applications, investors are now more cautious about deployment timelines and physical rollout costs. Strong earnings growth and long-term productivity gains continue to support the sector’s fundamental outlook, even as high rates and macro volatility compress valuations. Within software, cybersecurity and data-focused plays are outperforming, while application-layer SaaS companies face uncertainty around pricing and market fit. Consumer tech stocks have underperformed significantly, especially in September, due to rising rates and oil prices, suggesting potential buying opportunities amid higher risk. The market is now in a nuanced phase of the AI cycle—still bullish on long-term trends, but more skeptical about near-term execution. Key catalysts for the next month include Fed rate decisions, corporate earnings season, and the approaching midterm elections, which may influence investor sentiment and tech valuation dynamics. Overall, the sector appears balanced, with resilience rooted in earnings strength, though growth remains spread across multiple sub-themes rather than a single dominant narrative.
(upbeat music)
This is the markets.
I'm Chris Hosse and today is Wednesday, September 30th,
and I'm here in the Goldman Sachs trading floor
with Pete Callahan, who is our US technology media
and telecommunications sector specialist
within FIC and equities.
Pete, thanks so much for joining us again on the markets.
Thanks for having me.
All right, let's get to it because we had kind of a meh summer.
When you look at the 10 biggest tech stocks,
half of them are up, half of them are down.
Is the AI trade getting long in the tooth?
What are customers telling you?
Yeah, listen, I think tech in the AI story is still intact,
but you're right, it's like nuanced now, right?
There's a lot more dispersion,
which could be euphemism for bad market breath, right?
But what you're starting to see now
is much more of a stock picker's market.
We're kind of year three, year four of the AI cycle.
There's a lot of things to be excited about.
There's also a lot of questions that investors are asking,
and so I do think the trend for tech is still higher.
I still think earnings growth, valuations,
and thematic tailwinds are on its side.
But to your point, we can kind of go through these laws
after a really good start to the year,
call it Jan through June.
We've kind of been in consolidation mode of the summer,
and I think it's a fair thing as investors
sort of wrestle with the handful of AI puts
and takes down the stretch of the year.
Not to mention, of course, rates and oil and macro,
and all of those are parts of the conversation today
that were a little bit less so in the first half of this year.
Yeah, I want to get into the macro,
but before we do that, let's keep exploring that AI trade
for a little bit, because is the complexion of the AI trade
starting to change now?
Originally, this was an AI infrastructure trade.
It started with the semis.
It went into the hyperscalers.
Is it now making the move into applications?
Things like a gentick AI?
How do you look at it?
Yeah, it's a good question.
I mean, let's just start it.
We had our big flagship technology conference
early in September, and it's kind of hard to walk out
of that conference and not feel good about the state of AI
and the state of tech.
And so I kind of like, that's the backdrop,
and that's a good constructive backdrop.
But you're right.
For the first couple of years, when people said AI,
they just said seven conductors, kind of capex beta,
we want to be picks and shovels.
In the last couple of months, you've really
started to see more focus up the stack,
some of the scaffolding at the infrastructure software,
security software layer, some of the tools and companies
that help organizations adopt and deploy AI.
That's what you're starting to see.
So yes, a gentick commerce is part of it.
Cybersecurity's been a piece of that.
Some of these data infrastructure stocks have been a piece
of that.
So I would say the trade has broadened out.
And then so some capacity could say, okay,
well, it looks flatter and broader.
But I think that broader breadth of the trade,
you could argue is a good thing, even if it creates
a little bit more of a stock pickers,
rather that it's sort of a single thematic narrative
underneath of it.
>> All right, terrific, Pete.
You mentioned Communicopy and Technology,
our big conference that we had in September.
Did you hear from a lot of people there
that these types of AI implementations are working?
And that you're getting those types
of productivity improvements that people are looking for?
>> Yeah, you are.
Listen, there's a bunch of sound bites
that are coming out of corporates these days
around productivity, sort of new revenue opportunities,
things like that.
It's just the measuring stick, right?
Because we're spending, you know,
trillions of dollars on CapEx.
And so I think the market writ large is getting what they want
from a productivity narrative, from a use case narrative.
Now that's maybe emerging on the consumer side
with the Ryzee's personal assistance.
But it's always about the measuring stick
of how much is going into the ground
versus how much companies are getting in the back end.
And so of course with three key earnings around the season,
we'll get this sort of numerical measuring stick
and how companies are benefiting from generative AI.
>> Okay, Pete, expand that a little bit
on the AI build out here.
What are investors most worried about there?
Are they worried that we're gonna run out of money
and stop doing it?
What exactly is the risk that they're focused on?
>> Yeah, it's a good question.
I think most of it would be more about the just the linearity
of the deployment.
And so I think investors believe this theme
has a decade-long mega trend.
And so I think investors feel pretty good
about the end point.
But the linearity's gotten a little bit more uncertain, right?
And that's a comment on sort of the deployment
and the physical sort of standing up
of these data centers and turning them on.
And so I think that's the part of the conversation
that's gotten trickier.
And again, not to come back to it,
but there's just a lot of noise
when you look where the rates market is
or the oil market is.
And so there's just a lot more considerations
that investors have today
versus kind of that 23, 24 cycle of generative AI.
>> Okay, Pete, enough about AI, let's move on
to the broader tech space.
Let's talk about software.
That was a group that really got taken out earlier
in the year.
Had a nice summer though, but the last month
it's been under a little bit of pressure.
Where does software stand today?
>> You're going to catch me using the word nuance
to get this version, right?
Because part of software is that cybersecurity story,
that data infrastructure story.
And that's become a really big theme
for investors to latch onto.
And you can kind of call those inference plays, if you will.
This sort of course, SaaS and application layer
of software, the market's still wrestling with that stuff.
That's the market where the market's still trying
to figure out product market fit and pricing
and where they sit alongside that new model layer
that's emerged over the last couple of years.
And so it's really kind of a dispersion trade
within software, but that's a lot better.
I mean, the first half of this year
was kind of correlation one type of price action.
And that's not great for anybody.
And so it's nice to see dispersion.
You're starting to see stock picking come back to software.
But the trend has been higher.
The group's treated much better over the last couple of months.
And I still think position is a tailwind in that subsector.
So if you're a software company that can help implement AI
or keep AI safe, you're in good shape.
But if you're a software company that has to use AI
in order to make their software better, not so yet.
>> Yeah, or deliver that end product to the customer.
That's where the market's trying to figure out
how that story plays out over the next couple
of months and quarters.
>> Okay, let's cut the macro.
Tech and rates have always been closely correlated.
What's going on today?
>> Yeah, listen, rates have definitely come
part of the conversation and a consideration for tech investors.
This year, you've seen Nasdaq multiple compress about 20%.
Now, there's a lot of things that drive that.
But I think certainly rates is a piece of that.
We know of 10-year yields certainly north of five and a quarter, right?
So I think that's been a piece of this story.
Now, tech still generated great returns this year.
And why is that?
That's because the theme is intact.
And the earnings growth is intact.
And so we look at rates and we're obviously careful
if you sort of lose the long end of the curve.
But from a, is it keeping people out of tech?
>> No, but is it putting more pressure on earnings
due to the heavy lifting rather than multiple?
Certainly, and I think we've seen that this year.
>> Now, you mentioned this about the earnings
and the PE multiples having come in.
Is that a symptom of healthy skepticism in the marketplace
around earnings that people just don't,
they don't think the earnings are going to be as strong as you think?
>> Yeah, that's right.
I think part of it's the rate story.
And then of course, part of it is how long can we compound
at this 20% plus earnings growth story, right?
It's been a great stretch.
If you get the productivity from AI in the coming years,
you see corporate margins stay healthy.
I think that story stays intact.
You climb that wall of worry on 27 and 28.
And that's probably the path higher for the tech sector.
>> All right, great, let's put a bow on it.
What's the trade?
>> Yeah, I get two things in focus, right?
One, of course, semiconductor is, we talked about it.
But that's a group that hasn't gone anywhere for a while,
multiples of compressed.
And we kind of talked about this sort of personal assistant,
consumer AI story starting to pick up over the last couple of weeks.
So I'll be watching for semiconductors into three Q earnings
to hopefully find its footing again.
And then the other one, consumer services and consumer experiences.
Consumer stocks have one of their biggest months of underperformance
in over 10 years in the month of September.
Of course, rates in oil weigh heavy on the group.
But you could argue that's an opportunity to climb a wall of worry
down the stretch of 26.
And that would be an area I would start to re-engage
and sharpen pencils and find some good 80s and credit ideas.
>> In the tech world, does that mean e-commerce?
What does that mean?
>> Yeah, exactly, internet service is commerce.
And then some of the live events and experiences
that we have in the sector.
>> All right, what are you watching for in the month ahead?
>> Yeah, of course.
So early month macro data, right?
We have a fed me to the end of this month.
Right now the market is about a 40% chance of a hike priced in.
So we'll see if the macro data tilts that one or the other.
We'll kick off corporate earnings in the middle of the month.
Of course, all about finding that return on a vested capital,
vis-a-vis AI, both in the tech sector.
But of course, outside of the tech sector is well,
increasingly important.
And then finally, we have midterm elections,
some 30 odd days away, that it was sort of being the background
as we headed to earning season.
And so it was something to watch as well.
>> Pete, thanks so much for joining us, really appreciate it.
>> Thanks for having me.
>> That does it for this week's episode of the markets.
I'm Chris Hussie, thanks for listening.
[MUSIC]
>> The opinions and views expressed herein are as of the date of publication,
subject to change without notice, and may not necessarily reflect
the institutional views of Goldman Sachs or its affiliates.
The material provided is intended for informational purposes only,
and does not constitute investment advice,
a recommendation from any Goldman Sachs entity to take any particular action,
or an offer or solicitation to purchase or sell any securities or financial products.
This material may contain forward looking statements.
Pass performance is not indicative of future results.
Neither Goldman Sachs nor any of its affiliates make any representations or warranties,
expressed or implied as to the accuracy or completeness of the statements
or information contained herein, and disclaim any liability whatsoever
for reliance on such information for any purpose.
Each name of a third party organization mentioned is the property of the company
to which it relates, is used here strictly for informational and identification purposes only,
and is not used to imply any ownership or license rights
between any such company and Goldman Sachs.
A transcript is provided for convenience and may differ from the original video or audio content.
Goldman Sachs is not responsible for any errors in the transcript.
This material should not be copied, distributed, published, or reproduced in whole or in part,
or disclosed by any recipient to any other person
without the express written consent of Goldman Sachs.
Copyright 2026, Goldman Sachs, all rights reserved.
Podcast Summary
Key Points:
The AI trade has broadened from infrastructure to applications, including cybersecurity and data infrastructure, creating a more diversified but stock-picker-focused market.
Major tech conferences like the September flagship event show strong investor confidence in AI’s potential, though deployment linearity and data center rollouts remain uncertain.
Investors are increasingly concerned about the pace and physical realization of AI adoption, not a lack of funding or demand.
Software stocks are showing dispersion, with cybersecurity and data infrastructure outperforming, while application-layer SaaS companies still struggle with product-market fit and pricing.
Higher interest rates and macroeconomic volatility have compressed tech valuations, especially Nasdaq multiples, though earnings growth remains a strong tailwind.
Consumer tech and experiences (like e-commerce and live events) are underperforming due to rates and oil, presenting potential “wall of worry” opportunities.
The market is still in a nuanced phase of the AI cycle, with year-three maturity leading to more realistic, scattered growth expectations.
Key near-term watch points include upcoming Fed data, mid-September earnings, and the approaching midterm elections, which may impact investor sentiment.
Summary:
The tech sector remains resilient despite a consolidated summer marked by market dispersion and increased stock picking. While the AI narrative has evolved from a narrow infrastructure focus to a broader ecosystem involving cybersecurity, data infrastructure, and consumer AI applications, investors are now more cautious about deployment timelines and physical rollout costs. Strong earnings growth and long-term productivity gains continue to support the sector’s fundamental outlook, even as high rates and macro volatility compress valuations.
Within software, cybersecurity and data-focused plays are outperforming, while application-layer SaaS companies face uncertainty around pricing and market fit. Consumer tech stocks have underperformed significantly, especially in September, due to rising rates and oil prices, suggesting potential buying opportunities amid higher risk. The market is now in a nuanced phase of the AI cycle—still bullish on long-term trends, but more skeptical about near-term execution.
Key catalysts for the next month include Fed rate decisions, corporate earnings season, and the approaching midterm elections, which may influence investor sentiment and tech valuation dynamics. Overall, the sector appears balanced, with resilience rooted in earnings strength, though growth remains spread across multiple sub-themes rather than a single dominant narrative.
FAQs
Yes, the AI trade remains intact, but it has broadened beyond infrastructure to include applications, cybersecurity, and data software. The narrative is more nuanced and dispersed, reflecting a shift from a single-theme investment to a more diversified stock picker's market.
Yes, the AI trade has evolved from focusing on semiconductors and hyperscalers to now including AI applications, such as generative AI tools and consumer assistants, as well as infrastructure and security software.
Yes, companies are reporting productivity improvements and new revenue opportunities, though the actual impact is still being measured. The market is particularly focused on quantifiable outcomes from AI deployment in business operations.
Investors are primarily concerned about the linearity and timing of AI deployments, including the physical setup of data centers and the pace of adoption. Uncertainty around deployment timelines adds complexity to the investment outlook.
The software sector has seen improved performance due to a broader focus on cybersecurity and AI-related infrastructure. However, the sector remains divided, with strong tailwinds for AI safety and implementation tools, while others struggle with product-market fit.
Yes, higher rates have compressed tech valuations, especially Nasdaq multiples, but the underlying earnings growth and AI-driven productivity trends remain strong, helping tech stocks maintain performance despite macro pressures.
Chat with AI
Loading...
Pro features
Go deeper with this episode
Unlock creator-grade tools that turn any transcript into show notes and subtitle files.