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AI Disruption, Funding Surge, Inflation, Cars

Key Points

  • Clar is replacing its Salesforce SaaS stack with in‑house AI‑driven solutions, signaling that companies may start building internal alternatives to costly third‑party software.
  • This move puts pressure on traditional SaaS vendors like Salesforce to continuously demonstrate value in an AI‑enhanced environment or risk being displaced.
  • Despite the trend toward internal AI, the market still embraces external AI platforms, exemplified by Glean’s rapid growth and a new $260 million Series E round that lifted its valuation to $4.6 billion.
  • Glean positions itself as an “AI‑native” knowledge engine that aggregates and summarizes data from email, wikis, Slack, and other sources, aiming to become the go‑to collaboration tool of 2024.

Full Transcript

# AI Disruption, Funding Surge, Inflation, Cars **Source:** [https://www.youtube.com/watch?v=NdYcDytORck](https://www.youtube.com/watch?v=NdYcDytORck) **Duration:** 00:06:32 ## Summary - Clar is replacing its Salesforce SaaS stack with in‑house AI‑driven solutions, signaling that companies may start building internal alternatives to costly third‑party software. - This move puts pressure on traditional SaaS vendors like Salesforce to continuously demonstrate value in an AI‑enhanced environment or risk being displaced. - Despite the trend toward internal AI, the market still embraces external AI platforms, exemplified by Glean’s rapid growth and a new $260 million Series E round that lifted its valuation to $4.6 billion. - Glean positions itself as an “AI‑native” knowledge engine that aggregates and summarizes data from email, wikis, Slack, and other sources, aiming to become the go‑to collaboration tool of 2024. ## Sections - [00:00:00](https://www.youtube.com/watch?v=NdYcDytORck&t=0s) **AI Drives SaaS Replacement Trend** - The segment explains that Clar’s shift from Salesforce to an in‑house AI customer‑service system illustrates a growing corporate push to replace costly SaaS contracts with proprietary AI solutions, warning traditional SaaS providers to prove continued value. ## Full Transcript
0:00three big pieces of news today all 0:02around Tech we're going to talk about 0:03software and AI we're going to talk 0:06about the inflation news and we're going 0:07to talk about cars so software first if 0:11you've been following the story with AI 0:13the thing to remember is that there is a 0:15huge question right now around the 0:16extent to which a company will replace a 0:19software stack they pay for using a 0:21software as a service business model 0:22with something they build in-house well 0:24clar has started to do that they put out 0:27a press release a few months ago saying 0:29that they were saving 700 CS jobs 0:32because they had in-house AI deflection 0:34for CS queries now they're saying 0:37they've replaced Salesforce that's a big 0:39deal because Salesforce is more or less 0:42the biggest the most essential the first 0:46software as a service like if you think 0:47of software as a service Mark Benny off 0:49invented that business model more or 0:52less so they're getting replaced at 0:55clarum and it makes you wonder can other 0:58companies see that press release and 1:00start following suit I bet you right now 1:02there are a bunch of CEOs calling up 1:03their CTO this morning and saying do 1:05that this is an expensive 1:07contract so we will see but it's 1:09definitely a warning sign to companies 1:11like Salesforce that they need to 1:13continue to show value in the age of AI 1:15That's disproportionate or they will get 1:17built out and 1:19replaced it's not all bad news for 1:21software though because you see a couple 1:24of really interesting signals in the 1:26market that the push toward AI 1:30internally does not mean that companies 1:32won't grab external Solutions if that's 1:36what's appropriate and I want to call 1:37out a consumer facing or small business 1:39facing one as well as a big business 1:42facing one that's more like Salesforce 1:44so for the big business first glean got 1:47their second multi hundred million fund 1:50raise this year so they started out in 1:53February with a $200 million raise at 1:562.2 billion and now uh they're raising 1:59200 60 million at a 4.6 billion 2:01valuation so they went from I I guess it 2:04was a $2.4 billion dollar valuation 2:06increase in just a few months here 2:08they're absolutely blowing up and what's 2:11interesting is they position themselves 2:13as AI native they are being treated as 2:15AI native by the market they're solving 2:17a knowledge problem that has been 2:19sticking with companies for decades 2:22Generations where you can't find what it 2:25was and like that's what slack sort of 2:26promised to do but slack isn't 2:28innovating fast enough in the AI space 2:30to really solve this and gleen is 2:32basically positioning itself as you can 2:34actually find what you need to find 2:37across email Wiki slack everything and 2:39get an AI powered 2:41summary well they're doing very well and 2:44the funny thing is they were founded 2:46back in 2007 and so even though they're 2:48positioned as AI native now it has been 2:50a long runway for them this this uh 260 2:53million is a Series E so they have been 2:56patient and they have built for a long 2:58time to get to where they are and now 2:59they're just blowing up they're going to 3:01be the zoom of 2024 right if you 3:03remember Zoom back in 2020 just 3:05absolutely went through the roof the 3:08other one I want to call attention to is 3:10much earlier in the process this is a YC 3:13company called proost Ai and the reason 3:15I call it out is not because it has as 3:17much of a true proven track record as 3:19glean does at this point but because it 3:21highlights that you can get software 3:24that is AI native that goes after 3:26smaller businesses as well and so in 3:29this case proost AI is basically 3:31automating the Airbnb host experience 3:34where you can like automate a lot of 3:36communication with your guests you can 3:37automate a lot of the servicing 3:39communication 3:40Etc there's a Airbnb is now big enough 3:44that you can have an entire startup that 3:45is just focused on figuring out the 3:48logistics of the hospitality industry 3:50that professional hoteliers have been 3:52sorting out for a long time with staff 3:55and I think that's really interesting 3:56and it gives them room to get into the 3:58rest of hospitality if they can make 4:00this scale so it's not all bad news for 4:02software but let's move on let's go to 4:04the inflation print so online grocery 4:07sales fell 4:093.7% in the month of August it's the 4:12biggest decrease on records since 4:13records start being kept for online 4:15groceries in 2014 and I call it out 4:17because the Fed was already looking at 4:20an interest rate cut this is going to be 4:22another data point that fuels the 4:24speculation that the FED is headed for 4:26an interest rate cut and that matters 4:29because 4:30the IPO rate since the interest rate 4:32rise in 2022 has gone through the floor 4:36in 2021 we had 140 exits by IPO from the 4:40mostly from the tech industry in 2022 to 4:432024 year-to date inclusive we have had 4:4814 4:4914 10% in three years of what we had 4:53just in 2021 now 2021 was a big year but 4:58it calls out how tough it's been for 5:00startups to exit and if you can't exit 5:03the entire Venture Capital model kind of 5:05goes into deep freeze and that is what 5:06we have seen as far as capital 5:08allocation which trickles into jobs and 5:10everything else and so a lot of what 5:12I've been watching is when will the FED 5:14start to loosen the capital so VCS start 5:16to get hungry again it doesn't mean it's 5:18going to go back to 2020 and 2021 right 5:20away but it does mean that there may be 5:22a restart of that funding model maybe 5:24the IPOs start to come back Etc so I'm 5:26keeping an eye on that last but not 5:29least someone 5:30uh dove into wh's crash driving data and 5:34called out it was a really interesting 5:35analysis they called out that a lot of 5:37the crashes reported by weo are crashes 5:41where their self-driving vehicle was 5:42rammed by another human by by a human 5:46driver wayo self-driving so it's not 5:48another human driver right uh the 5:50machine car was s rammed by a human 5:52driver and that when you take that into 5:54account weo is even safer than you might 5:56realize in fact the estimate is that weo 5:59is UH 60 to 70% safer than human drivers 6:03at this point net net so there's a lot 6:05of lives to be saved by rolling out way 6:07more more 6:08broadly and what's interesting is the 6:11reason it's 60 to 70% is because we have 6:13a really hard time actually estimating 6:15the Baseline human crash rate there's a 6:17lot of really interesting like 6:18discussion of that I'll link the article 6:20underneath the YouTube but there you go 6:22that's your news lot on software a 6:24little bit on uh inflation and IPOs in 6:26the exit market and a little bit on cars 6:28just at the end what did I miss