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welcome to money is freedom

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a podcast

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exploring how finance and freedom connect in our lives

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created from thoughtful research

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and narrated by Notebook lmaai

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this series brings you clear

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meaningful insights into finance and beyond

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welcome to episode 50 where we unpack how AI

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companies are showing

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unprecedented acceleration in revenue

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growth and global expansion

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significantly outpacing earlier tech innovation waves

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like SAS

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this rapid progress

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is driven by their ability to hit revenue milestones

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faster achieve immediate global reach

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and leverage innovative business models

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let's break it down

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artificial intelligence it's a

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it's everywhere right

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you hear the buzz constantly

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mm hmm all the time

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usually it's about you know

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the potential

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or maybe just headlines from a few massive companies

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right the big names

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but what if the real economic

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story isn't just potential

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what if it's happening like right now

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and maybe faster than people realize

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exactly faster and wider

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so today

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we're doing a deep dive into what we're calling the AI

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economy and we're not guessing here

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no this is grounded

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we've got actual real world transaction data

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it kind of pulls back the curtain on how fast these AI

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companies are growing revenue

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and maybe even more surprisingly

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how global they are from the get go

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and the source for this uh

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this deep dive is pretty unique

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we're looking at Stripe's latest analysis right

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they handle payments for

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I think it's a staggering 78% of the Forbes AI 50 list

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you know wow

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open AI anthropic midjourney cohere wow OK

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so they see the money flowing

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they really do this isn't just theory

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it's based on payment data from their top 100 AI

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companies hard numbers perfect

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so with that kind of view

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our mission today is well

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let's cut through the noise

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let's figure out what this data really tells us about

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say three key trends that are shaking things up

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not just in tech but kind of everywhere

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sounds good where should we start

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okay let's unpack this

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the first thing that really honestly jumped out of me

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and I think it'll surprise you listening to

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is just the speed

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the sheer like unprecedented speed of AI growth

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oh absolutely

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it's blazing fast these startups

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they're hitting major revenue milestones

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way faster than we've ever seen before right

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it just redefines fast growth

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it really does I mean

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you compare them to the fastest growing sauce

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companies out there historically yeah

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AI companies hit $1 million in annualized revenue

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uh a median of four months faster

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so like eleven and a/2 months for AI versus 15 for SAWs

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okay four months faster to the first million

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but then it gets even more dramatic

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the gap widens for $5 million annualized revenue

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AI companies reach that a full 13 months faster

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13 months wow

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yeah 24 months for AI versus 37 for Saas

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and what's maybe even Wilder is the acceleration

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we're seeing with the newer AI companies

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new those founded between say 2020 and 2023

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they're hitting these milestones

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about three times faster than the AI

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companies founded before 2020

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three times faster give me an example OK

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so getting to $1 million AAR for the newer cohort

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it's taking just five months on average

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compared to 16 months for the older AI group

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five months versus 16 that's incredible acceleration

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it really is and the why behind this

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I mean it seems pretty clear

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it's just surging demand

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we saw worldwide company AI usage jump from what

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55% in 2023 to 72% in 2024

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and generative AI usage that more than doubled

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people are actually using it massively

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yeah and you know

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put it in historical context

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US individual AI adoption rates are roughly double

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the adoption rates of PCs

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and the internet at similar points in their history

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double the internet adoption rate

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that's genuinely astonishing

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it puts things in perspective

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doesn't it it really does

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those numbers are uh kind of mindmoggling

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but let's make it concrete

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can we talk about some specific companies

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sure like uh

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Harvey the AI legal assistant

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they quadrupled their revenue just in 2024

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quadrupled or or Bolt

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they help you build web and mobile apps

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hit 20 million dollar a R R

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in 2 months 2 months

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it's hard to even process that speed

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I know and lovable a no code builder

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17 million dollar AR in three months

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and and cursor the AI coding assistant

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over 100 million dollar AR in just three years wow

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so for you listening

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maybe you're an entrepreneur

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maybe you're in a small business

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what this really shows is that building software

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turning an idea into a real application

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that makes money that barrier is dropping like a stone

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absolutely it democratizes development in a way

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it completely changes who can build the next big thing

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right and think about the knock on effects

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what's fascinating here is this rapid monetization

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it fuels this powerful cycle

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how so well

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you get investment because the returns are so fast

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that investment fuels more innovation

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which allows faster global expansion

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which attracts more investment

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it's this virtuous cycle spinning incredibly fast

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a feedback loop unlike anything we've seen pretty much

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okay so we've got this incredible speed

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but it's not just how fast

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it's also where they're scaling

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isn't it which brings us to the second big insight

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AI companies are basically born global

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they're just skipping the old playbook

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yeah the traditional start local

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then expand model it seems

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many AI companies are just bypassing that entirely

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so the data shows this oh yeah

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the data is pretty compelling here

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scripts top 100 AI companies

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they sold into roughly twice as many countries as sauce

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companies did in their very first year

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twice as many what are the numbers

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it was 55 countries for AI versus 25 for sauce

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in year one okay

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and that pattern holds up

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by year four

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AI companies were selling into 104 countries

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compared to just 57 for saw

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still almost double the reach

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so they maintained that global footprint

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right from the start exactly

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which you know

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raises a really interesting question why

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why are AI buyers popping up seemingly everywhere

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instantly not just in the usual big tech hubs right

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you'd expect maybe Silicon Valley

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London Berlin

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but we're seeing significant adoption

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especially on a per capita basis in smaller countries

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too places like Iceland

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Estonia Luxembourg

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Switzerland Singapore

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they're becoming AI hotspots huh

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so the demand is just everywhere

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it appears so

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the desire for these tools seems incredibly widespread

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regardless of traditional geographic tech concentration

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that's fascinating is there a

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like a stand out example of this global reach

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well think about midjourney

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the AI image generator okay

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in 2024 alone

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they sold their services to users in over 200 countries

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and territories 200

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that's basically the whole world pretty much

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it's a massive testament to that truly global

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almost borderless demand for AI

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and just think for anyone listening

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think about how that immediate global market changes

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everything your strategy

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your competition

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it's a whole different ball game from day one

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absolutely the playbook is being rewritten in real time

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okay so speed and global reach from the start

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let's pivot now to the third key trend

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which is maybe more about the how yeah

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the uh

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the rapid emergence

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of really innovative business models

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how these companies actually make money right

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because it's not always just the standard

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subscription model we're used to

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so what does the current landscape look like

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well right now

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most of the top 100 AI companies on stripe

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maybe around 80% they do initially offer broader

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sort of horizontal tools like what

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things like content generation

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that actually

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makes up about 75% of the initial offerings

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which is huge wow

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or you know

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general chatbots

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or the underlying AI infrastructure itself

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kind of foundational stuff

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okay broad tools first

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but here's where it gets really interesting right

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there seems to be this clear shift happening

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uh huh a definite move towards highly specialized

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industry specific or vertical solutions

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and these aren't just like

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simple wrappers around a big language model

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no not at all

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these are purpose built tools

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they're designed to

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integrate deeply into specific industry workflows

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and solve very particular problems

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can you give some examples

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sure so in healthcare

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you're seeing companies like a Bridge Knolla

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Deepscribe

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focusing on things like clinical documentation

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okay then you've got studio

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specifically for real estate marketing

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Sketch Pro for architecture

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slang dot AI handles restaurant phone reservations

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Host AI is for property management

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so very targeted

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solving one industry's pain point really well

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exactly deep integration

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specific value proposition

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and it's not just what they're selling

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but how they're charging for it that's changing too

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right beyond just simple subscriptions

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that's a key part of it

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new payment models are popping up

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that really match how AI is actually used

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like what well

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first there's a big move

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towards usage based billing

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pay as you go

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basically sort of you pay based on consumption

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maybe compute time or data processed

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or the number of API calls you make

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it aligns the price directly with the value

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or the cost incurred and it makes it much easier

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for customers to start using the service

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because the initial commitment is lower

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makes sense yep

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any examples there yeah

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hex they do complex data analysis

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they processed over 500 million

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usage based billing events

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last year alone

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just shows the scale as demand for compute power surges

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half a billion building events

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wow okay

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so usage based what else

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then there's the rise of outcome based pricing

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so you pay for results exactly

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payment is directly tied to the results the AI achieves

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this really lowers the risk for the customer

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hmm and it's particularly suited for these emerging

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agentic work flows we're starting to see

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where AI takes actions autonomously

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interesting but don't these flexible models

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like usage or outcome based

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create uncertainty for the AI company

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subscriptions are predictable

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that's definitely a challenge

284
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revenue forecasting can be trickier

285
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so how are they managing that

286
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a really common solution emerging is the prepaid

287
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credit model customers buy credits up front

288
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ah okay

289
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like a prepaid phone plan

290
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exactly it helps the AI startups manage their cash flow

291
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gives them more predictable revenue chunks

292
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and it gives customers control over their spending

293
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plus it can reduce fraud risk in self serve sign

294
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UPS so kind of a win win

295
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it seems to be working well for many

296
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and all this innovation in how value is exchanged

297
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it leads us to something really on the cutting edge

298
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doesn't it this idea of agentic commerce

299
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yes this is where it gets potentially transformative

300
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explain that what is agentic commerce

301
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it's basically AI agents

302
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starting to take on roles that humans

303
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traditionally handled in commerce like

304
00:10:43,900 --> 00:10:45,600
like researching product options

305
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actually making purchases

306
00:10:47,000 --> 00:10:50,766
managing subscriptions negotiating all autonomously

307
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the AI acts as an economic agent on behalf of a user

308
00:10:53,666 --> 00:10:58,066
or a business so the AI is becoming the customer almost

309
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or the procurement department in a way

310
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yes or the customer service agent

311
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think about 11 labs they're already using AI

312
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agents to handle subscription management

313
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and even process refunds all through voice automation

314
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or companies like perplexity and payment

315
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are building ways for AI

316
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agents to make payments seamlessly

317
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as part of their workflows

318
00:11:18,000 --> 00:11:20,066
right so if you connect this to the bigger picture

319
00:11:20,066 --> 00:11:22,000
yeah this isn't just a new feature

320
00:11:22,000 --> 00:11:22,833
is it no

321
00:11:22,833 --> 00:11:24,366
it feels much more fundamental

322
00:11:24,366 --> 00:11:26,800
it could really change how businesses interact

323
00:11:26,800 --> 00:11:30,533
how they transact maybe even how markets function

324
00:11:30,600 --> 00:11:31,800
is this just theory

325
00:11:31,800 --> 00:11:34,200
or are businesses actually preparing for this

326
00:11:34,200 --> 00:11:36,033
the preparation is definitely starting

327
00:11:36,033 --> 00:11:38,100
recent surveys show uh

328
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fifty three percent of global business leaders say

329
00:11:41,466 --> 00:11:44,066
they are actively preparing for agtech commerce

330
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over half

331
00:11:44,700 --> 00:11:48,033
and 63% rate its importance as a 7 out of 10 or

332
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higher within the next two years

333
00:11:49,900 --> 00:11:52,500
so high importance near term horizon

334
00:11:52,500 --> 00:11:55,366
wow and you see it in the tools being adopted too

335
00:11:55,366 --> 00:11:57,766
things like the Streep Agent toolkit

336
00:11:57,766 --> 00:11:59,766
being downloaded thousands of times per week

337
00:11:59,766 --> 00:12:01,033
and hundreds of startups

338
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focus specifically on AI agents

339
00:12:02,700 --> 00:12:04,366
launched on stripe just last year

340
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with huge growth expected in 2025

341
00:12:06,700 --> 00:12:09,000
thousands a week hundreds of startups

342
00:12:09,000 --> 00:12:09,766
this isn't niche

343
00:12:09,766 --> 00:12:11,866
it feels like a genuine movement taking shape

344
00:12:11,866 --> 00:12:14,200
it really does so what does this all mean

345
00:12:14,200 --> 00:12:16,000
taking all three trends together

346
00:12:16,000 --> 00:12:18,633
yeah it feels like a complete reimagining

347
00:12:18,633 --> 00:12:19,800
of the digital economy

348
00:12:19,800 --> 00:12:21,133
I think that's a fair way to put it

349
00:12:21,133 --> 00:12:21,400
okay

350
00:12:21,400 --> 00:12:24,000
so let's quickly recap what we've really dug into today

351
00:12:24,000 --> 00:12:25,566
based on that stripe data

352
00:12:25,600 --> 00:12:26,833
three big things stood out

353
00:12:26,833 --> 00:12:28,166
uh huh first

354
00:12:28,200 --> 00:12:29,166
that incredible

355
00:12:29,166 --> 00:12:31,766
almost unbelievable speed AI companies are

356
00:12:31,833 --> 00:12:33,933
are hitting revenue milestones

357
00:12:33,933 --> 00:12:35,933
way faster than sauce benchmarks

358
00:12:35,933 --> 00:12:38,166
second they're born global

359
00:12:38,366 --> 00:12:41,666
expanding worldwide practically from day one

360
00:12:41,666 --> 00:12:43,866
skipping the old local first playbook

361
00:12:43,866 --> 00:12:46,533
a much wider faster international reach

362
00:12:46,533 --> 00:12:49,566
and third this rapid evolution in business models

363
00:12:49,566 --> 00:12:52,166
moving from broad tools to vertical solutions

364
00:12:52,166 --> 00:12:53,633
and adopting usage based

365
00:12:53,633 --> 00:12:55,633
outcome based and prepaid models

366
00:12:55,766 --> 00:12:58,533
all culminating in this rise of agentic commerce

367
00:12:58,533 --> 00:12:59,333
right where AI

368
00:12:59,333 --> 00:13:02,166
itself becomes an active participant in transactions

369
00:13:02,166 --> 00:13:03,133
so putting it all together

370
00:13:03,133 --> 00:13:04,433
this cycle fast investment

371
00:13:04,433 --> 00:13:06,000
rapid innovation immediate global

372
00:13:06,066 --> 00:13:08,400
expansion new transaction models

373
00:13:08,533 --> 00:13:09,900
it's not just about cool new tech

374
00:13:09,900 --> 00:13:10,833
is it no

375
00:13:10,833 --> 00:13:12,100
it's much bigger than that

376
00:13:12,100 --> 00:13:13,566
it's fundamentally reshaping

377
00:13:13,566 --> 00:13:15,566
how entire industries operate

378
00:13:15,566 --> 00:13:18,466
how value is created and exchanged globally

379
00:13:18,566 --> 00:13:20,333
it feels like a genuine paradigm shift

380
00:13:20,833 --> 00:13:22,533
and for you listening hopefully

381
00:13:22,533 --> 00:13:23,566
understanding these trends

382
00:13:23,566 --> 00:13:24,966
gives you a bit of a shortcut

383
00:13:25,133 --> 00:13:27,566
a way to be really well informed

384
00:13:27,566 --> 00:13:30,066
about one of the most dynamic shifts happening

385
00:13:30,200 --> 00:13:31,733
anywhere in the economy right now

386
00:13:31,733 --> 00:13:33,900
yeah whether you're prepping for a meeting

387
00:13:33,966 --> 00:13:36,366
or just trying to make sense of all the AI headlines

388
00:13:36,433 --> 00:13:37,566
hopefully some aha

389
00:13:37,566 --> 00:13:39,766
moments in there that give you a fresh perspective

390
00:13:39,766 --> 00:13:41,733
definitely and maybe here's something to uh

391
00:13:41,733 --> 00:13:43,833
to really chew on after this okay

392
00:13:43,833 --> 00:13:46,366
leave us with a thought consider how these shifts

393
00:13:46,366 --> 00:13:46,966
the vertical

394
00:13:46,966 --> 00:13:50,866
AI becoming common and gentic commerce taking hold

395
00:13:50,966 --> 00:13:53,933
how might they reshape industries that aren't tech

396
00:13:54,166 --> 00:13:55,666
think about manufacturing

397
00:13:55,666 --> 00:13:57,066
retail finance

398
00:13:57,066 --> 00:13:58,333
healthcare hmm

399
00:13:58,733 --> 00:14:00,766
when AI isn't just a tool in the business

400
00:14:00,766 --> 00:14:02,300
but a partner doing business

401
00:14:02,300 --> 00:14:04,466
exactly what new roles emerge

402
00:14:04,466 --> 00:14:07,800
when AI agents handle purchasing or customer service

403
00:14:07,966 --> 00:14:10,533
how do companies need to change their core operations

404
00:14:10,533 --> 00:14:12,566
their strategies when their partners

405
00:14:12,566 --> 00:14:14,833
or even their customers might be AI

406
00:14:14,866 --> 00:14:16,700
that's the next wave to watch