AI-Driven Customization Transforms SaaS
Key Points
- AI is shifting SaaS from a “one‑size‑fits‑all” model toward **customization at scale**, letting providers embed personalized, workflow‑aware intelligence rather than just generic chatbots.
- The **cost of intelligence is approaching zero**, dramatically increasing the supply of AI‑driven insights and making traditional predictive features a commodity rather than a differentiator.
- Because AI makes both mass customization and cheap intelligence feasible, **new entrants can more easily build differentiated SaaS products**, while incumbent firms face significant challenges retrofitting their legacy platforms.
Full Transcript
# AI-Driven Customization Transforms SaaS **Source:** [https://www.youtube.com/watch?v=JpC_N4aBOBI](https://www.youtube.com/watch?v=JpC_N4aBOBI) **Duration:** 00:07:31 ## Summary - AI is shifting SaaS from a “one‑size‑fits‑all” model toward **customization at scale**, letting providers embed personalized, workflow‑aware intelligence rather than just generic chatbots. - The **cost of intelligence is approaching zero**, dramatically increasing the supply of AI‑driven insights and making traditional predictive features a commodity rather than a differentiator. - Because AI makes both mass customization and cheap intelligence feasible, **new entrants can more easily build differentiated SaaS products**, while incumbent firms face significant challenges retrofitting their legacy platforms. ## Sections - [00:00:00](https://www.youtube.com/watch?v=JpC_N4aBOBI&t=0s) **AI-Driven Shifts in SaaS** - The speaker explains how AI is fundamentally reshaping SaaS by turning previously discouraged customization into scalable, AI-powered personalization, altering the industry's economics and growth dynamics. ## Full Transcript
how many times have you heard sas's debt
software as a service isn't going to
keep going anymore with AI or on the
other hand no SAS is fantastic AI is
going to make SAS work even better it's
going to transform the industry and give
us New
Growth I'm not interested in the bull
case I'm not interested in the bare case
I am interested in the fundamental
Dynamics in software and how they've
changed with AI and I think that's
particularly true for software as a
service and I want to lay out three of
them in this video that as someone who
works in that space I have seen start to
come into play over the last couple of
years and they're just getting more
prominent all right number
one customization at scale it used to be
a bad word in fact coming up in product
in the 2010s in software you were taught
not to do customization customization
was a bad word as recently as 2020
2021 you would fail product questions
if you
proposed too much customization for big
customers the idea was software should
tastees like chicken it should be
consistent it should be somewhat
flavorful maybe it's not everyone's
favorite but it works to put food on the
table and that was so consistent and so
true that the actual unit economics of
software were also consistent so a
private Equity Firm could roll up a
bunch of different SAS companies treat
them all the same and get similar margin
and similar cash flow out of all of
them that is going to
be different going
forward so the fundamental change that
AI has enabled is customization at scale
that's much bigger than a chatbot
fundamentally instead of this Dynamic of
we build the same software for everyone
AI is driving customization expectation
and customization capabilities so
fundamentally customers are used to now
getting personalized answers whenever
they want them from the chatbot they
expect more the bar has been raised this
is good at the same time AI is
enabling software providers to deliver
customization in their apps and that's
much more than just slapping a chatbot
onto the website it's actually being
thoughtful about how you wrap in AI so
the customization Works in ways that
enhance customer workflows and sort of
provide wraparound experiences rather
than a one-size fits-all flat
experience so that's lever number one I
think companies that are able to take
advantage of that will win and my
suspicion is that this is actually an
area where new companies are going to
find it easier because wrapping that
kind of customization into existing
companies is really hard work it's not
impossible we see companies doing it but
it's
tough lever number two the cost of
intelligence at the end of the day
intelligence is going to Zero from a
cost perspective that means the supply
of intelligence is going up I don't know
a millionfold we'll use a million just
for
working if it's getting that easy to
access human level
intelligence that means that the
predictive deterministic intelligence
that software
provides is only going to be valuable
where where it actually solves a
business
problem and does so in a cost effective
Manner and removes liability from the
company in
question and I'll get into all of those
so traditional deterministic software
software without AI in it it is
intelligence that solves a problem it's
just brittle intelligence it just solves
that one thing it's not general purpose
intelligence in any
sense and so with general purpose
Intelligence coming in the opportunity
is really to enable more effective
solutions for companies across a wider
range of use
cases which sounds a lot like
customization but doing so without
imposing price increases or with limited
price
pressure because at the end of the day
the other Dynamic here with a cost piece
is that there are a lot of ankle biters
or new funded VC companies that that are
going to be able to come into the
space and compete on the basis of cost
because the cost of a general purpose
model is now so low they may not be
actually as effective but the
substitution value may be there if the
price competition is strong enough net
net this is going to be more price
pressure on SAS companies and they are
going to need to find ways to deliver
more intelligence at a lower cost across
a wider range of use cases and they're
going to need to do so while providing
what they traditionally have provided
which is a little bit of a liability
shield no one got fired for choosing
Salesforce and we underestimate the
value incumbents have because they are
incumbents and so in this situation I
would actually give the advantage to
incumbents because they have the
treasury to invest in new AI solutions
they have the margin to absorb some
price pressure and they have that EST
Lish reputation that acts as effectively
a liability
Shield lever number three workflow
breakage so at the end of the day one of
the most unpredictable things about AI
is that it entirely removes certain
niches in the ecosystem that previously
existed I think my favorite example
right now of this is the budding
competition between figma and v0 by
versel so v0 her is an llm driven
front-end application building tool but
the problem is it does such a good job
at coding up front end that you kind of
don't need figma and I'm not the only
one saying that there's a lot of other
folks who are wondering and noticing
they don't just don't use figma as much
as they needed to that's an example of
traditional workflows getting upended
because llms enable such fast paths to
value
and my working assumption here is that
anything that is farther away from the
code base is more at risk because at the
end of the day software is about
delivering code to customers that works
if you have job functions if you have uh
pieces of the value chain tools that
support job functions that are farther
back of the code farther away from the
code I think you're inherently at risk
workflow breakage is going to lead to
huge winners overnight
is people start to eat into traditional
longer workflows and dramatically
compress them I don't know where all the
break points are going to be in 2025 but
they're coming if you thought this was
interesting I put a good solid substack
up on this I think it's something we
need to talk about a whole lot more as I
said I'm not interested in whether it's
a bull case for SAS or a bare case for
SAS I want us to understand the levers
and how we as Builders can use those
levers to build companies that have
value