Why SaaS Still Thrives Amid AI Disruption
Key Points
- AI tools now let anyone generate and deploy code in plain English, enabling non‑engineers to launch software products with minimal cost.
- Despite this “free software” potential, the market still rewards enterprise SaaS firms like Salesforce because they solve complex, high‑value workflow problems that require deep integration.
- SaaS businesses benefit from sticky installations and long‑term contracts, creating strong customer inertia that makes it difficult for cheap, AI‑generated alternatives to displace them.
- Established SaaS companies also enjoy entrenched distribution advantages—decades‑long sales relationships, brand recognition, and a trusted ecosystem—that new startups lack.
- The greatest disruption may come from enterprises themselves repurposing their engineering talent toward AI, rather than from hobbyist coders, but this shift is unlikely to overthrow the core SaaS business model.
Full Transcript
# Why SaaS Still Thrives Amid AI Disruption **Source:** [https://www.youtube.com/watch?v=42GqDCyQPPo](https://www.youtube.com/watch?v=42GqDCyQPPo) **Duration:** 00:08:23 ## Summary - AI tools now let anyone generate and deploy code in plain English, enabling non‑engineers to launch software products with minimal cost. - Despite this “free software” potential, the market still rewards enterprise SaaS firms like Salesforce because they solve complex, high‑value workflow problems that require deep integration. - SaaS businesses benefit from sticky installations and long‑term contracts, creating strong customer inertia that makes it difficult for cheap, AI‑generated alternatives to displace them. - Established SaaS companies also enjoy entrenched distribution advantages—decades‑long sales relationships, brand recognition, and a trusted ecosystem—that new startups lack. - The greatest disruption may come from enterprises themselves repurposing their engineering talent toward AI, rather than from hobbyist coders, but this shift is unlikely to overthrow the core SaaS business model. ## Sections - [00:00:00](https://www.youtube.com/watch?v=42GqDCyQPPo&t=0s) **AI‑Generated Code vs Enterprise SaaS Valuations** - The speaker argues that even though AI now lets anyone create cheap software, the high market valuations of firms like Salesforce persist because the real disruption will come from massive engineering teams within enterprises leveraging AI—not from basement hobbyists building tiny widgets. ## Full Transcript
we're going to talk about a hard subject
today what happens to software when
making software costs nothing we are
entering a world where AI is enabling
extremely cheap software creation you no
longer have to have a computer science
degree you don't even have to know code
anymore you can just type it in English
and it will make the code for you and
you will eventually be able to deploy it
and presumably sell it the first person
who is going to make a million dollar
selling software when they don't know a
line of code already exists is already
writing code and is probably only a few
months away from making that million
dollar that's the world we live in and
so the question I have is if that's the
world we live in why does the stock
market continue to Value publicly traded
companies like
Salesforce very very very
highly why would you do that when
companies like Clara are saying we RI
out Salesforce we don't need need it
anymore we created our own thing
internally I'm going to tell you why I
actually agree with the market on this
one but maybe not for the reason you
suspect I do not think that just because
someone in their basement can type into
repet and make a piece of code get it
out there make a tiny widget sell it
that that's going to disrupt enterprise
software I don't even think that the
thousands of Engineers is now being
redeployed against AI across Enterprise
companies which is a much more serious
threat are going to fundamentally take
away the SAS business model I don't and
the reason why is because at the end of
the
day the businesses that are making money
in SAS are making money off of solving
really hard workflow problems with
sticky installs on a distribution
Advantage all three of those matter now
startups have a harder time and we'll
talk about that but if you are an
established SAS company you have
existing contracts people don't want to
rip out your software if they don't have
to generally speaking there's a lot of
inertia in your favor you were already
solving a problem for them presumably a
problem that they found painful enough
to pay you for now they may argue with
you about the cost a little bit from
time to time but your product team at
this SAS business is busy making more
product that delivers more value and
helps support your margins which by the
way that's what product ERS are supposed
to
do so that's the case just from a
software perspective for why SAS
businesses are still viable from a
distribution perspective I think it's
even stronger if you have an existing
distribution Advantage if you have sales
relationships with existing clients if
you have been working with those clients
for a decade or more if you are a
well-known brand in the marketplace like
Salesforce is it is extremely
unlikely that you will suddenly lose
that distribution advantage and just
disappear into the
sunset this is why even though it's
technically true that Amazon is only
ever a click away like you can always
leave Amazon you can always go somewhere
else you only have to type Amazon into
the browser for it to appear you can
type temo into the browser and it will
appear Amazon doesn't have an inherent
competitive advantage in your browser
but you still go
because the distribution advantage and
the brand advantage of Amazon is really
formidable and I notice that people who
form a purchase relationship with Amazon
tend to stick with it I'm one of them
people who form a purchase relationship
with Walmart or Walmart plus will tend
to stick with
it and that's something that Jeff
deliberately architected in the 1990s as
part of his timing for starting Amazon
he said people's purchase relationships
are going to change change with the
internet and there's a limited window
when they are flexible or rubbery and we
can grab that purchase relationship
build brand loyalty and people are going
to stick with us if we deliver good
service and that's what happened in the
same way with
SAS if people are used to buying from
you and trust you especially for
Enterprise critical applications they're
going to keep trusting you fundamentally
I think that is why the street values
SAS companies highly still even in the
the age of AI and I'll give you one more
to think about at the end of the
day these companies have
every intention of going into AI
Salesforce is going into AI so is every
other sass company I know
of they are investing in AI just as much
if not more as all the startups that are
AI native and they have all the
incumbency advantages this reminds me of
the cloud in the
2010s before software was licensed and
Cloud was disruptive Adobe had to go
through this whole reinvention process
where they were selling licenses per
seat and then eventually they had to
move to a subscription cloud-based SAS
model it was bitterly opposed internally
at Adobe but it ended up remaking the
company and cloud has been a savior for
adobe's long-term revenues and profit
Outlook so in the same way I think
there's a lot of potential for existing
Enterprise companies who already have
distribution advantages like Adobe did
back in the 2010s to reinvent themselves
and get into AI the way adobi got into
Cloud same thing and you see that motion
you see Salesforce investing in and
branding Einstein and you see other
incumbents playing in AI as well so what
does this mean if you are a startup what
if you were building software in the
space I want to characterize it in two
classes I think if you are a solopreneur
if you were building software on your
own like I said the person who hasn't
written a line of code but is going to
make a million dollars off code already
exists and probably will make that
million dollars in the next few months
it has never been a better time to be a
solopreneur for startups the it's more
complicated at the end of the day you
can work faster with AI you can have a
smaller Talent footprint at the same
time you have to fight against those
incumbents I just spent 5 minutes
describing you have to fight against
Salesforce and whatever the Salesforce
of your vertical is
who have distribution Advantage who have
client relationships and that's always
been true if you're a startup but now
you have to double down on AI as a way
to differentiate even while they're
already investing in Ai and while
customers expect more and more value
because AI is teaching them that they
need to deliver better and better
quality to everyone Downstream with
their value chain so for example one of
the stories out of consultancy in the
past year is that it used to be that you
could deliver a certain quality first
draft and that would be okay now what
used to be the final draft is the first
draft because everyone expects better
with AI I think that is one of the big
underlying levers for competition and
differentiation in the next five years
everyone is expecting more because AI is
teaching us to expect more so if you are
in the SAS business your customers
expect more of you if you a startup your
customers expect even more of you to
disrupt and your customers have more
expected of them to deliver value
there's this cascading effect of the
higher demand for Quality that AI has
created that we are all just living
through so where does this land us as
far as SAS and margins and revenue I
hope I've made the case to you I don't
think SAS is dead I actually think that
the existing Market valuation which is
fairly high for SAS companies is roughly
Justified I think that they are in a
position to win an AI arms race right
now
I don't think that AI makes it
enormously easier for startups to catch
up will there be startups that catch up
and displace incumbents there always
have been there will be I don't think
it's enormously easier right now so
that's my take I actually think SAS is
not dead I think SAS is doing fine I'd
be curious to hear your take