CRM
Salesforce, Inc.
stock NYSE

Jobs for who? If tens of millions of jobs disappear, like all white collar jobs and after some time (with robots) also most blue collar jobs, what are they producing? Most services run on advertising money, who will they advertise to if people don't have money to spend outside what governments give out as UBI? Who will need the super smart CRM software when the AGI can automate everything?

Companion funds of the one's you listed to look at - ASGI, CRM, BCAT, HQL, RQI

Why even use a stop loss? Just fumbled CRM.

Gotta be honest man, after my NOW and CRM and ZS and RBRK calls hit it big later this year, I will consider doing the same strategy. Just sitting on my cash and just waiting to strike it big when the memes reach level 100 and everything is red.

You’re clearly too wrapped up in your convictions to make any coherent argument.
“Software that’s good enough to route CRM logic should also be good enough to fly a plane” is one the dumbest points I think I’ve ever read on this site.

"Deterministic systems fail constantly also. You’re comparing AI’s imperfection to an idealised version of deterministic software that doesn’t actually exist in production."
But you can make it better with bug fixing. Probabilistic never will be.
"Conflating AI shouldn’t weld cars with AI shouldn’t guess where to route a CRM record is just stupid."
Why is it? If your software is so good at CRM routing, why can't it be used to make cars, run drug trials, do the avionics in aircraft? Or are you saying it's not actually very good? At which point, is it better than doing CRM with code?
"No I haven’t seen Salesforce’s codebase. Presumably neither have you."
Yes, but I'm not the one making claims about how easy it would be to fix it.
"Having worked at companies at Salesforce scale I can assure you there is debt, deprecated dependencies, and business logic nobody fully understands anymore, regardless of how good their API layer is."
You can assure me, but you've never worked there.
"Again, I am not making a case against Salesforce. I’m making a case against the dismissiveness of AIs disruption of SaaS companies. America has a long history of incumbents who failed to adapt when the landscape changed. Blockbuster, Nokia, Kodak, BlackBerry, Sears etc. The software landscape changed. Brushing it off as nonsense is short-sighted."
Completely different. A digital camera, Amazon, Netflix are still deterministic services. You didn't press a button on an iPhone and get random behaviour you weren't expecting.
"But I guess who am I to argue with the -22% YTD results of your picks"
Yet another bit of your telepathy at work there. Beyond knowing the code base at Salesforce, you also know when I bought the stock. Do you talk to the dead and bend spoons as well?

Deterministic systems fail constantly also. You’re comparing AI’s imperfection to an idealised version of deterministic software that doesn’t actually exist in production.
It’s also not a crude algorithm. It’s high-dimensional pattern matching and it can map a described outcome to an action without someone hand-coding every rule and mapping in advance
Conflating AI shouldn’t weld cars with AI shouldn’t guess where to route a CRM record is just a stupid.
No I haven’t seen Salesforce’s codebase. Presumably neither have you. Having worked at companies at Salesforce scale I can assure you there is debt, deprecated dependencies, and business logic nobody fully understands anymore, regardless of how good their API layer is.
As for trust, it’s the same adoption curve every automation technology has gone through, eventually automaton gets there. There are loads of guardrails, fiction calling, and context injection paths you can add to narrow the scope of error. And yes, heavily regulated companies like banks will be much slower on the curve. The majority of Salesforce costumers aren’t banks.
Again, I am not making a case against Salesforce. I’m making a case against the dismissive of AIs disruption of SaaS companies. America has a long history of incumbents who failed to adapt when the landscape changed. Blockbuster, Nokia, Kodak, BlackBerry, Sears etc. The software landscape changed. Brushing it off as nonsense is short-sighted. But I guess who am I to argue with the -22% YTD results of your picks.
Google and Microsoft are the only AI adjacent companies I have. Maybe Analog Devices and intuitive Surgical could be argued for as well.

Fraction of cost and budget? I don't know quite what percentage you are thinking there. It improves coding performance. NewCRM can do their coding a bit quicker. But so can Salesforce.
"No I don’t work in AI but I know many non programmers that now use AI to create apps and software that they sell."
And that's a whole different thing to Salesforce because of scale and importance.
Scale: is it used by 5 people or 150,000 people. If it's 150,000 people, it's worth spending money to make it solid. The cost per person is tiny.
Importance: if the software is wrong, what is the negative outcome? Does a plane fall out of the sky, can someone not get money out of the bank, does a sales call not happen or do they not get the fun fact of the day?
I've vibe coded a wine scanner. Point it at a label and it tells you about the wine and where to buy it. Now and again, the results are crap. Outcome? Minor annoyance to the user.
There's a world of difference between my wine scanner being crap, and a CRM being crap. That might mean data isn't saved or updated properly, it might mean you fail to contact someone about something.
The thing with all the companies I've bought into is that there's scale and/or importance. How many of your friends are working on something as serious as systems to submit regulatory documents for the medical industry like Veeva do? Or to handle scheduling of field service like ServiceNow?

"Let's take Salesforce as that is the one i know more about, if a small business wants to use their product then they will be paying $25-100 per user per month, that quickly scales to thousands and tens of thousands. Yes maybe with the current abilities of AI it isn't worth trying to create an alternative but that is only going to lean more and more in favour of AI. Lets imagine that in 5 years time you can describe your business to AI and it can create a CRM product tailored specifically to your business. Yes this still won't be possible for large companies that have decades of customer data within Salesforce but it's a process that can slowly transition to all new businesses and as small businesses grow the AI CRM could adapt with them."
You've made a massive leap in there, that in 5 years, probabilistic AI will deliver that level of understanding of your demands.
I am going to guess here that you don't work in AI, don't know the fundamentals of how LLMs work, or the principles like Bayesian inference. To get to what you're saying in 5 years requires completely overhauling the current state of AI. Requires a whole fundamentally new technology.
This is the sell of AI. "Look at how great self-driving is now at 99%. Coast-to-coast is just around the corner". The problem is that probabiility might get you to 99%. But it's not reasoning, so the human has to step in to deal with it. It's why Robotaxis have a load of humans watching the cars who can intervene.
It's really important when analysing this stuff to understand the mechanics of what is being done, and why all sorts of vague promises probably won't happen any time soon.

The same improvement to productivity also applies to Salesforce. If you can code 20% quicker because of AI, so can their people.
And you're missing the scale thing. Salesforce have 150,000 corporate customers. Your little team making a CRM has how many? So, how much does it cost for you to deliver a feature per customer compared to Salesforce?
It's why small software teams mostly work in niches, new businesses. It's madness to go head to head with giants because you can't do it as cheaply.
You also face the problems of things like familiarity, integration etc. There's a whole marketplace for Shopify. Developers who know the API and have built controls. There are people you can hire to integrate Shopify into your system. If you need staff to deal with setting up products, there are people with that experience. There are videos about using it. I helped a business set up Shopify and built a feed of orders into the main CRM. £50 a month and a few days work to build the feed. Are you going to beat that with vibe coding a whole e-commerce system?

I don't have to explain anything, there are thousands of companies I'm not comfortable investing in, you are the one putting money into it and if your entire thesis is "AI nonsense" then you aren't gonna outperform the market but I'll humour you.
Let's take Salesforce as that is the one i know more about, if a small business wants to use their product then they will be paying $25-100 per user per month, that quickly scales to thousands and tens of thousands. Yes maybe with the current abilities of AI it isn't worth trying to create an alternative but that is only going to lean more and more in favour of AI. Lets imagine that in 5 years time you can describe your business to AI and it can create a CRM product tailored specifically to your business. Yes this still won't be possible for large companies that have decades of customer data within Salesforce but it's a process that can slowly transition to all new businesses and as small businesses grow the AI CRM could adapt with them.
Do you really see a world in which Salesforce won't lose that low end part of the market which will slowly leak into the upper end of the market?

adbe i am not sure since ai image generation. I like NOW CRM UBER. IDK the other companies much. BABA im waiting for a pullback to buy a bit only since its chinese.

This market is so trash. SaaSpocalypse  happens and $PLTR gets grouped into it and drags down $CRM, $SNOW, and $NOW. Oh, but as soon as PLTR starts doing well all the sudden it’s not considered a SaaS player. What a joke.

These are what I own, and my thesis. Glad to hear any thoughts.
1. Adobe. Part of the SaaS reverse. I think the whole AI thing hammered it. Bought way too early but holding at this point.
2. Alibaba. Bought just a little on gut. Mostly, I got this because I like AliExpress. Not the AI side. But like it as a long-term company
3. Autodesk. Part of the SaaS reverse. No-one is going to vibe code CAD software
4. B&M. British discount retailer. Actually, a stupid investment based on thinking the UK would go into recession and buy more cheap goods. But I've been lucky, the new CEO is turning it around.
5. BYD. Just really good cars. Long term investment. Know someone who got one instead of a Mercedes and won't go back. Took me for a ride and I get it. New European factories will open up tariff-free access to that market.
6. Energean. Israeli gas platform. Always takes a hammering if there's trouble in the Middle East. So, buy it, wait for everything to blow over and sell. In the meantime, pays a really nice dividend.
7. ME Group. They were best known for photo booths, but that is in decline. Shifting to automated laundrettes. I think there's a big future in more automated services and at rock bottom price and P/E.
8. Relx. Information services. Battered by the AI nonsense.
9. Salesforce. Also, AI nonsense.
10. ServiceNow. As above
11. Uber. Apart from the fact that I love Uber as a customer and use them for taxis, trains, coach bookings, I don't think AVs are going to be as huge as everyone thinks, and that Uber are already working towards their own fleet. Uber is your gateway, your store. You want a cab, maybe someone else does it but you book through Uber.
12. Veeva Systems. They do CRM software for the medical industry. So, more specialised. Battered by AI nonsense.
13. WH Smith. British airport retailer. Large moat because if you want a drink at an airport you don't have much other choice. Hit badly by oil problems, which I think is exaggerated. At this point I think this might be the best bargain as the oil troubles are priced in.

[CRM](https://www.onvista.de/aktien/SALESFORCE-INC-Aktie-US79466L3024) - Salesforce 📃@158,20€(-2,20% 😡)

Bitte sagt euren Chefs das nur $CRM euch actionable business insights generieren kann. (Das ich während der Saas-pocalypse die Tunke gekauft habe hat nichts damit zu tun btw.)

YOLO on CRM

Good afternoon everyone!
Wife is officially scheduled to get induced. Lets get this show on the road! Next sale is going to be a huge change in inventory so, if you like something, come and get it. Last call on a lot of this stuff.
I am looking to trade for Johnson Matthey Silver, in the vintage poured flavor. JM 10oz, 20oz, Kilos, 50s, and 100oz bars. If you see something you like and would like to make a proposition, or looking for something specific, please let me know!
**Please note, everything purchased this sale to ship Wednesday, PENDING birth of my newest daughter! My poor wife...**
BIN in comments to win!
Everything has been ***SIGMA verified*** by myself. Buy with confidence!
[Proof!](https://coindex.app/photo/mEzfsKF)
[Full Photo Album](https://coindex.app/a/bTxh1G) for tonight’s sale!
———
**Vintage-**
$5820 - [Engelhard 100oz Bar](https://coindex.app/photo/KOVfgLa) \- Extruded, S-Serial# - Willing to trade straight across for a 100oz Poured JM Bar - Below Spot! Last call before this gets put away because my wife and my oldest are asking why it's on the chopping block... **Below Melt!🚨**
$1695 - [Engelhard 20oz Canadian Bull Poured 7th Series](https://coindex.app/photo/nadzT8q) \- AE Estimated <10,000
$965 - [Engelhard 10oz Canadian Bull Poured 3rd Series "Linen Pattern"](https://coindex.app/photo/lbeeSBQ) \- ***AE Estimated <500!***
$795 - [Engelhard 10oz Canadian Bull Pressed 1st Series](https://coindex.app/photo/jefu7Ox)
$825 - [International Silver LTD Inc. 10oz Poured Bar](https://coindex.app/photo/gJkSgLz) \- Dual Stamp
$695 - [California Crown Mint 10oz Extruded Bar](https://coindex.app/photo/LeF3WpL)
$685 - [Gold Way Assayers/Refiners 10oz Pressed Bar](https://coindex.app/photo/sYu8KpM)
$620ea/$1240set - [Engelhard C-Series 10oz Pressed Bar](https://coindex.app/photo/XIevH2f) \- Repeater Back - Matching Serials ***\*$100 Price Reduction on the pair!\****
$620 - [Engelhard C-Series 10oz Pressed Bar](https://coindex.app/photo/HPCbOtu) \- Repeater Back
$655 - [Silvertowne Waffleback 10oz Poured Bar](https://coindex.app/photo/coL1rLz)
$645 - [1981 U.S. Assay 10oz Pressed Bar](https://coindex.app/photo/akzhP6F)
$610 - [Engelhard Long Pressed "Big E" Repeater Back 10oz Bar](https://coindex.app/photo/bNwKOct)
$375/ea - [Engelhard 5 oz C-Serial Pressed Repeater Back](https://coindex.app/photo/rGvdXZz) \- x4 Sequential, New in Original Plastic ***\*Must Buy x2 Min.\****
$345 - [California Crown Mint 5oz Pressed Bar](https://coindex.app/photo/WxAq7f3)
$335 - [Northwest Territorial Mint 5oz Pressed Bar](https://coindex.app/photo/2FatBXH)
$340 - [American Precious Metals 5oz Pressed Eagle Bar](https://coindex.app/photo/YgGvXh8)
$320 - [1982 Bunker Hill Silver Commemorative 1oz Rounds](https://coindex.app/photo/SqzNGvK)
$315 - [Vintage Sunshine Mining 5oz Vintage Bar in plastic](https://coindex.app/photo/E6jTlau) \- Buy the 5oz bar and you can purchase the matching vintage 1982 Sunshine Mining 1oz Round below @ $60.
$110 - [W.H. Foster 1971 One Silver Eagle 1oz Bar](https://coindex.app/photo/aJFbZeZ)
$110 - [W.H. Foster 1969 One Silver Eagle 1oz Bar](https://coindex.app/photo/fb2OSdi)
$72 - [1974 United States Silver Corporation - World Trade & Commerce 1oz Round](https://coindex.app/photo/uqliSVi) \- Beautiful example, squeaky clean.
$75 - [1973 Motherlode Mint Israel 25th Anniversary 1oz Bar](https://coindex.app/photo/hQ6lLSg)
$75 - [1973 Motherlode Mint Masonic Temple 1oz Bar](https://coindex.app/photo/ft6zBch)
$62 - [1982 Sunshine Mining 1oz Round](https://coindex.app/photo/bvCYPoB) \- Checkout the deal with the 5oz Sunshine above!
**NORFED-**
[I have not listed them all. They all vary in condition and rarity. For sake of mind please highlight which one you are interested in, in the pictures, and then I'll get you pricing.](https://coindex.app/photo/D80pMDn)
$195 - [2006/2007 Twin Year Error NORFED 1oz Liberty Dollar](https://coindex.app/photo/dpkbJpE) \- Rare, my last one
$135 - [2005 NORFED 1oz Liberty Dollar - Super Toner](https://coindex.app/photo/jm6Kw7I)
$85 - [2005 NORFED 1oz Liberty Dollar (a little beat up.)](https://coindex.app/photo/ou0TiMK)
$65 - [2005 NORFED 1/2oz Liberty Dollar](https://coindex.app/photo/9sd0k7M)
**Everything Else-**
$615 - [Silvertowne 10oz Poured Bar](https://coindex.app/photo/cbRAaga) \- Sweet Ripples/Toned Edge
$325 - [St. Louis Mint "STL" 5oz Poured Bar](https://coindex.app/photo/bCtw18a)
$285 - [5oz Generic Lot](https://coindex.app/photo/J1OMPhk) \- **Below Melt! 🚨**
$130ea - (5) [Intaglio 2oz Pan Am Round - Beautiful, high relief.](https://coindex.app/photo/g1Fb75E)
$98 - [PAMP 1.5oz Liberty/Solomon Islands in Assay](https://coindex.app/photo/jmqNEvy)
$76- [CRM 1.2oz Poured Button](https://coindex.app/photo/LypElp2) \- Local to me, handpoured round button, check out the pour lines/character.
$77.50ea ($62/oz) - [East India Company 1.25oz Silver](https://coindex.app/photo/hRhT0cG)
$75 - [Scottsdale Mint 1oz Seahorse in Plastic/Cardboard](https://coindex.app/photo/eY3dC3k)
$65 - [Prospector's Gold and Gem 1oz Poured Chunk](https://coindex.app/photo/lbtk0Tf)
$65ea - (4) [Come and Take It 4-Way Divisible 1oz Bar](https://coindex.app/photo/POH6uMR)
$66 - [Asahi Columbia Goddess American Reserve 1oz Silver Bar](https://coindex.app/photo/ObeIzkL)
$64 - [Asahi 1oz Silver Bar](https://coindex.app/photo/7kJwSsJ)
$63 - 2019 ASE 1oz
$63 - [2010 ASE 1oz](https://coindex.app/photo/YEKkSYZ)
$62ea - (11) Random Year Canadian Maple 1oz
$59 - [Silvertowne 1oz Silver Bar](https://coindex.app/photo/V8zfX3a) \- x2 in plastic, 3 without
Prices good until I decide, at my discretion. Please allow me at least 1 day grace period to ship your order, as life happens and I am busy!
Payment: Accepting ZELLE, VENMO, CASHAPP in that order. **Zelle preferred**. If the transaction is large enough, we may have to split payment between a day or two, please understand I will ship when payment is fully complete.
———
All items have been verified w/ my Sigma Investor - Please feel free to ask for verification on anything!
🚩🚩🚩- I reserve the right to change/refuse pricing based on spot price at the time of sale. NO holds!
Please ask if: 📸You need anymore photos of anything! ⁉️You have any questions!
\-💬Please post CHAT and message me, I will NOT message you first!!!
\-🚨BIN means you bought it at the listed price, and are ready to pay!
\-💸Payments accepted: Zelle, Venmo, Cashapp. Absolutely no notes: emojis ok
\-📦🚀📬Shipping: USPS $6 at/under 6oz, Priority $12 at/over 7oz+ this sale! Registered mail available at your expense! My liability ends when I hand the package off to the post office, though I will not cut corners on any packaging.
Thank you for taking a look.🫡

A. The **Hyperscalers/Platforms/Compute** have had a very good few days since earnings last week. Obvious companies but the hyperscalers were punished for spending too much and now the ROI is showing. EG: MSFT, GOOGL, AMZN, META, ORCL, NBIS, CRWV

My view: I built this one up while B was slipping.

B. The most crowded category the market has at least temporarily soured on: the picks and shovels. **Physical suppliers.** Capex dependent. Capex is still accelerating so the bulls are hanging tough. But the bears ask, are we near the peak of capex spending acceleration? EG: NVDA, TSM, AVGO, MU, SK Hynix, ASML, KLAC, AMAT, LRCX, ANET, VRT, LITE, COHR

My view: I reduced but the market may have overreacted down on concerns that the rate of capex spending won't keep accelerating.

C. There's Model, **Software** and workflow. They sell the layer that lets customers operate and deploy AI. EG: PLTR, NOW, PEGA, PANW, CRWD, DDOG, SNOW, CRM, ADBE
My view: PEGA may be undervalued now

D. Then there's the non-AI businesses where AI dramatically improves their returns more than others. IDK what to call them. **AI Value Creators?** EG: APP MELI TEM CAI INTU.
My view: This is the area I've most been interested in. CAI, APP, MELI.... After all the capex spending plays out these "boring" companies may be very good investments.
E. And **Power/Energy**. EG: GEV VRT ETN CEG VST TLN OKLO SMR BE
My view: Good. I haven't changed conviction.
F. There's also AI-enabled new markets, like robotics, space, autonomous driving, drug discovery, but they may fit into categories above. Lots of examples. Lots of interest. Some have a lot of future priced in.
This is all very loose with lots of overlap. Categorization isn't perfect so feel free to add your own.
Where's your conviction?

Good one, however the column that actually splits it is Days-to-ER vs DTE. AVGO / CRM / NVDA all hold through their prints — you're not finding mispricing, you're selling the event. Fair deal (all three screen \~1.0–1.2x IV/HV on my board), just be clear what the yield is paying you for.
Sneaky ones are TSLA and META. No ER inside, so they look like clean rows — but both screen underpaid right now (0.71x and 0.69x IV/HV with realized vol at its 79th/88th percentile). The stock is moving near its yearly max and the premium isn't covering it. Of the five names, AVGO is the only one where realized is actually calm (HV rank 39) relative to what you collect.