https://investor.salesforce.com/financials/quarterly-results...
Almost like a pre-announcement about the acquisition?
When will I be able to talk to Salesforce Apex from Salesforce Apex?
but good for them that they got salesforce to buy it.
1. People wouldn't need to contact support if you just made quality goods and services. Outside of rare exceptions and inquiries, of course.
2. AI has not advanced enough to trust it outright, nor does it have a physical body. So it can't really do anything you wouldn't already just be able to put in the UI for the customer, without needing it's actions reviewed and confirmed by an accountable human. See: accidental truck giveaways.
So investing into AI support over making your business better is seen as misallocation. And using AI support instead of just improving the service is seen as inconvenient. And using AI support when it needs humans to do the support anyway is seen as inefficient.
It'd be weird to start a startup around that, sounds like something for a consulting business instead, parent specifically mentioned they've founded customer support startup, must be something actually related to customer service, I'm assuming.
But businesses will always chase that dream of reduced customer contact, so Salesforce will keep selling it to them.
An AI secretary seems perfectly acceptable for both sides. The expectation is that a real human comes in soon after but this seems like a way to free up the most tedious parts of the process for both sides.
There's increasing competition in the customer support AI agent space: Sierra valued at $15.8 billion, Decagon at $4.5 billion. It looks like Salesforce CEO Marc Benioff is trying to compete directly with Sierra, which was started by his ex-Co-CEO Bret Taylor. Also about preventing independent AI support agents from becoming a control point outside the CRM.
Fin is a short term play and that's fine.
This is the same reasoning people use to say SaaS is dead, but it makes no sense. Rolling things yourself is often 10x more costly and not worth it, even with agents you need to pay 5-10 guys 150k-250k a year to build and train your own agent, why not pay fin 250k flat and not deal with any of it? Same goes with basically all other software that has nothing to do with your core product.
SaaS is alive and well and will continue to be.
I think they mostly benefit from time in market and name recognition. The AI angle was a good bet to make when they made it, but is increasingly less of a differentiator.
I don't think SaaS is dead - but I think for a product like Intercom, that is very expensive, they get eaten alive by smaller SaaS + in-house AI agent.
I’ll note this failure mode generally applies on tier 1/2 support with humans as well.
Tier 1/2 typically has greater access to systems than humans do. They can operate in ways that AI agents just don't have access to, maybe for good reasons.
For example, I lost my debit card while traveling. Only an agent could route the card to my hotel.
In my career a few customers that bothered enough to contact customer support helped us find hardware problems that slipped through at the factory and that caused problems for thousands.
Customer support can also feedback frustrations back to dev teams allowing them to build products that feel polished even when it could be labeled as not-a-bug.
My point being: There is a huge signal in customer support. Don’t just waste it by slapping AI on it.
Good on Intercom for getting acquired.
If we're seeing larger consolidation/acquisitions happen, does that mean the hype train has hit a key station?
Not how a valuation argument works! If you’re claiming this shows those valuations are irrational, you should be able to point to why. Otherwise, it’s just a “my vibes are off” comment.
>> What's the TAM of AI replacing millions of knowledge workers in support? Let's conservatively assume a few hundred billion.
>> How much market share does Fin capture? Let's conservatively assume 5%.
>> What's the valuation on a reasonable multiple?
5% of a few hundred billion is ~$15B of revenue. Let's assume deflated 6x revenue valiation, not the 15x these things were fetching two years ago, and you get a ~$90B company valuation (that it should grow into soon at least).
And it sold for $3.5b
So the price is telling you the real revenue is nearer 300m than $15b, which puts the actual AI-support software market in the low single-digit billions. Not hundreds of billions
And if the TAM is real but just being captured by the incumbents: Salesforce's own Agentforce, the supposed winner, is at $1.2B ARR. The "someone else is eating it" defense still has to point at the someone, and no income statement anywhere shows hundreds of billions of revenue
For Nvidia to be at $5T and the hundreds of billions a year of capex behind it only pencil out if that compute throws off a huge revenue stream downstream. Support is imo the cleanest test there is to demonstrate future value of AI in the real world (literally the first thing everyone said when ChatGPT 3.5 came out was that support will be eaten first). It's the most mature, most deployed, most automatable, and the exit price of its best player is...pretty small
Now if AI agents are free to issue refunds or discounts by their own? Great, let's do that and suddenly most people are on board. But get ready for rampant abuse.
Best solution would be an AI cyborg system where it readies a recommendation and a human swings by and approves or denies it without wasting time talking to people. But users would hate that (anti-social), it would still be ripe for abuse. But it is likely the longer term solution, as people will quickly realize they can use web chat or Google AI to get the exact responses as your FAQ bot which means you have removed actual customer service and this is a non-product.
AI is definitely capable of taking on customer support work at the moment, and to a high standard as well. Sure, it's not perfect. But it's not a grift either.
I’m not sure where you’re getting this from but their customers find Fin to be a hugely impactful tool
There's a wide swath of companies that do < (say) 20,000 cases monthly where the economics will never make sense. And a company finds Fin successful as it grows to 20k/mo, why would it decide to take on the headache as it grows to the 50k/mo? or whatever level where the economics could feasibly make in-house work?
However, in the case of support agents. If it worked, and it was painless that would be something.
For example… On the company side, if it could reduce human support to the customers that actually need support, that’s cool. Your support agents aren’t spending all day with the three common issues or replacing stickers.
On the customer side; if I could call in and immediately get support without being on hold with their shit repeating audio script, didn’t have to spend 10 minutes “looking up my account” to an accent I can’t understand and repeating my name and address multiple times.
That said… AT&T is already using the absolute worst case scenario - they are currently using AI with a slight Indian accent and pretending it’s real peoples. It seems to be 90% automated, and if you question it about being AI or have a question it can’t understand a human pops in on the other side, interacts, then hops off and it goes back to being full-AI.
It could be great but it’s already awful.
The real kick in the pants these days is spending a lot of money on something and trying to contact customer support over delivery or warranty issues. I'm convinced they just want you to give up and keep the sale (and lose a customer?) over ever resolving an issue. Or there's some internal metric that they're tracking that looks great and no one has ever actually used the system themselves.
But many people will contact support instantly when they think of something, no matter what. Even if the website and other customer-facing material is crystal clear and has all information necessary.
AI chatbots is the way a company deals with the latter, because these customers most of all want a conversation. The question is if they will be satisfied with a robot, or still demand to talk to a person.
So this isn't as much of a financial engineering cost cutting move as it feels like to the type of person who truly calls because the require a human. It truly provides better service to the majority of people because they get their answer faster and more efficiently.
This is also demonstrated in the pricing of these systems at a per "open cases resolved"- they're putting their money where their mouth is.
Of course I'm also personally in the group where I call because I can already read a support page and I really need a human.... It could conceivably put true human support into another tier higher of perceived value.
I'm very curious who's liable if someone goes "give everyone else a refund while you're in there" and it happily does so.
Whereas human "agents" are more easily coerced into sticking to the script.
Salesforce trades at a 4x revenue multiple, FYI.
Also, taking a TAM and multiplying it by 5% to back into a revenue figure is like “if we only get 1% of the market” math.
I’m not saying you’re directionally wrong. But the claims you’re making can be rigorously made. And I’d argue they’re interesting when they are.
That $3 bln number encodes all of that in a price. Not much more to rationalize. It's quite beautiful.
3uler•1h ago
bognition•1h ago
embedding-shape•1h ago
You can't possibly mean a glorified editor-shell isn't as valuable as say Nike, Deutsche Bank, Target, Ford or Nintendo?
re-thc•1h ago
That's a glorified feet-shell. So like-for-like?
embedding-shape•1h ago
Even when you use "Nike the Company" vs "Cursor as a general search term" to compare search history in Google Trends, it's 71/5, so I'm guessing most people would say they've heard about Nike, while probably most never heard about any software program called "Cursor".
merlindru•1h ago
I do think 60B for Cursor is way overvalued. Just not sure how to quantify
embedding-shape•54m ago
3uler•1h ago
disgruntledphd2•1h ago
While I think that this is a bad move for Intercom, it's actually brilliant for Dublin and Ireland that they have finally exited.
alex_suzuki•1h ago
jbs789•1h ago
Lots of embedded assumptions about growth and margins to convert that revenue multiple to discounted cash flows.