Rolando Rosas 5:24
oh, you’re Oh, you’re telling me you’re a stranger to controversy. Don’t tell me that.
Chad Rubin 5:28
No stranger controversy. But like, sometimes I’m kind of like a lurker on x, where I’m like, reading versus contributing. But like, something hit me, because everyone always claims that industries are dead, right? Like, it’s such click bait when people say, okay, SaaS is dead. E commerce is dead. And so essentially, this click bait on X was Amazon Seller will not be a profession in 2026 and being an omnichannel brand or owning a Chinese factory will be the only profession left in E commerce, and so I challenge the debate, because like that made me think I’m like, Hmm, like, let me bite into that for a second. Amazon sellers, first of all, have always evolved, right? I remember 20 years ago, I’m reselling that. I went to private label. Then sellers had to evolve to become advertisers on Amazon. Amazon sellers are some of the scrappiest people that I know, indeed. So essentially, this whole idea around like going omnichannel, or about Chinese factories like this is, in my opinion, a 2019 take. So I challenged it and doubled down on this idea that in 2024 25 and beyond, is generally be about leveraging data, leverage in itself, tech and infrastructure. So essentially, what is changing is how Amazon sellers sell, not the style of selling anyway. That’s a long answer to the question, which is like, hey, there is a problem, and there’s guiding ways to actually do things better that challenge the status quo.
Rolando Rosas 7:02
You know, I heard getting ready for the podcast, Dave and I came across a name that we had never heard of, a gentleman. His name is Clive Humby. Have you heard of that name? I have not. Clive Humby is a mathematician, and in 2006 he said this data is the new oil, and a raw commodity, once refined, would fuel the digital economy. Essentially, data is the new oil, and that is what’s going to create the riches. And for folks that sell products right, doesn’t have to even be online. The data behind that selling activity is the gold, not even the product as much. It’s the data that then gives you the leverage to create the gold that you need. What do you think about that statement?
Chad Rubin 7:54
I agree 1,000% and where you can actually see this happening the most. So when open AI first launched, they were actually training their data around X, around Twitter’s data, and then Elon Musk took it over and shut off that open API. So now they’ve been training their data around Reddit and around other things around the internet. And so this whole idea around training around data, in order to actually create AI, you need to train it, and you need the data to do it. I think it’s so true, and the more data that you have, the more fact finding and patterns that you can supercharge to actually make better decisions, whether it’s an LLM or whether it’s actually your own e commerce business. Interesting because, like, because AI can predict better than a human can. And
Rolando Rosas 8:43
you think that’s where we’re going with making decisions? Do you think AI will make the decisions, or they’ll just make the predictions so that you can make the decisions?
Chad Rubin 8:51
I think that we are now already. First of all, if you saw the recent launch of Claude, they launched the new AI agents that I thought were a year out, and now they’re here today. So things are moving at a massive pace, and like we’re already in this new frontier, right? It’s kind of emerging, but it’s already kind of here. Things are shifting. But I do believe that the old days of software where you just present somebody the data is going to die, and I think the new approach will be actually taking that data, solving problems for you, and doing cognitive operations that a human could do, deploying that to make you more effective. So we’re moving from efficiency to effectiveness.
Rolando Rosas 9:33
You know, I heard the ex Google CEO say something to this effect, that we’re heading in the direction he said, The next 12 months, there’ll be a huge new wave of AI that’s going to do something to this effect. He said, Imagine if Tiktok were banned, and he doesn’t believe it’s going to but if it were, he says, what you would do is you tell the AI, make me a copy of Tiktok, steal all the music. Steal all the users and then create this, create a viral hit for me, and if it doesn’t go viral, keep recreating it until it does go viral. And he says, you can essentially have your own programmers, and that’s what he was calling it, that could do what you want in perpetuity without you going back in and re prompting it to do that action, because it understands that’s what you want it to do. It that blew my mind away, that we’re at that stage where you could essentially have it created and then, oh, that didn’t work. Let me try this. Oh, that didn’t work. Let me try that kind of thing instead of prompt after prompt after prompt.
Chad Rubin 10:40
Yeah, yeah. I think that’s definitely where we are currently. And I think that the challenge that I see with all of this, let’s just say you gave Tiktok as an example, this is actually a challenge that I see that I actually haven’t figured out yet, right? Because the amount of content that people will be able to produce will more than 10x, right? It might 30, my 40, my 50, she’s like, not only do you have text, like written text, on top of that, you have video and you have audio. Even the new notebook LM from Google, allows you to train it with information, and you can actually create your own podcast around a topic. But it’s amazing. It’s so cool. It’s so cool. It’s free. By the way, it’s free. Oh my now you’re like, wait a minute. Now there’s going to be enormous amount of content, more than 10x, more than 20 how are people going to consume this? Because the idea is that people’s capacity to consume has an increased 10x, 20x, 30x, 40x like, I still like, pick and choose where I prioritize my time. And so how is this going to be like? I don’t know if it creates chaos in a way.
Rolando Rosas 11:48
Well, it’s certainly going to change the numbers on what is being consumed. I’m sure you’ve seen the numbers that YouTube now is beating all streamers and cable news and TV linear TV on consumption somewhere in the 400 hours per month, versus Netflix, which is crushing it based on their last earnings report, and somewhere in the 30s. And we’ve crossed essentially a new stream where YouTube, their consumption of content, is greater than any TV network, any streamer at the moment. That’s crazy that we’re in that inflection point.
Chad Rubin 12:24
Yeah, I might need to have AI to consume the content from AI and deliver to me in a succinct manner.
Rolando Rosas 12:32
I think that’s what clutter open. Ai had said that. That’s what they were going to do. Allow you to go and summarize actual videos. You can technically do that now, but I think you have to transcribe. I saw something that in the upcoming releases, that’s what they want to do. So be able to summarize the video. Instead of pulling the transcript and then getting a summary, it’ll go in and check in the entire video.
Chad Rubin 12:53
Yeah. I think the challenge then is like, I have to train the AI so it has human reasoning that I care about, like pointing out the things that I the thinking and the reasoning that I would care about versus what it would care about, and identifying those properties and then delivering it back to me in a way that I can consume it and it can stick.
Dave Kelly 13:13
So how are you training the AI? Will you have it go out to articles and publications that Chad Rubin has published on the internet, and go back to everything that you as an individual have kind of put out there, so it will learn how you think
Chad Rubin 13:30
Debbie trained GPT at all through chatgpt, yep. So the same way that you would train a GPT, you train it around what you’re looking for. And so you might put an article in there and be like, Hey, these are the points that are important to me. This is why they’re important. And now you’re creating this training so that it can go out and replicate it, and over time it’ll be better. Those learnings compound. And then now you’ve got really valuable information that allows you to really clear out like signals versus the noise, and really deeply understand the things that matter.
Dave Kelly 14:06
Wow. It’s coming at us so fast. Rolando and I were talking prior to recording, and one of the questions we wanted to ask is, where do you think we’ll be with AI in 20 years? And I said, Rolando, maybe we want to think shorter term, five years. And Rose said, No, we need to think. We need to think bigger, more long term, 20 years. And I can’t even wrap my head around the next couple of months with AI. Where do you think we’ll be in 20 years with AI?
Chad Rubin 14:36
That’s a really hard question to answer, and I think I can answer it with what I see happening right now. Everyone thought that AI was going to take away blue collar jobs, and it didn’t. It’s taking away white collar jobs. And those white collar jobs, for example, creating, thinking, reasoning, those are things that chatgpt is very good at today, coming up with poetry, creating art. Artwork and designs. Everyone thought it was going to be the plumbers and electricians, and I think over time, actually, what’s going to happen is that you’re going to have these humanoids. This is the Tesla robot that’s been created that will technically have aI embedded and be able to do blue collar tasks too. Everyone’s going to have, like right now, my family has two cars for two people. I know families in Florida that have three and four cars for maybe, just maybe a slightly bigger family. There will be multiple robots at a family helping getting work done or doing the menial tasks that nobody wants to do.
Rolando Rosas 15:40
That’s I Robot. What you’re talking about is the iRobot movie with Will Smith.
Chad Rubin 15:45
Sure see it. I mean, if you look at right now the Tesla robot, it’s actually the Optimus, is very impressive, and it’s only like the first iteration. And I can just see where this is going. I think this is in five years. So to try to predict 20 is very hard for me, because, like, what I see happening in five years is very, very disruptive.
Rolando Rosas 16:09
Well, imagine that you have somebody in your home doing chores, right? An iRobot. They cook, they clean, they do errands for you. There are pieces of this right now in place. So, you know, we talked to Dr Arsha Khan last year, and she’s in the robotics industry, and she’s deploying robots in nursing homes for folks that have advanced Alzheimer’s dementia, and she told us that the results they’re getting in nursing homes, it’s amazing that robots don’t get sick. They don’t stop working for the most part, and what we think of people interacting with robots that it’s some cold thing, it’s just plastic and metal. She said that the patients, they have better outcomes because now they’re more engaged. They’re talking there’s not a nurse or a person that gets frustrated because they’re repeating themselves. Pieces of it already are in play today, not full on, like where Elon’s going, but some of it’s already into society in different places and different forms. Let me
Chad Rubin 17:10
show you on a micro level. Okay, so I am pre diabetic, and so I am wearing a continuous glucose monitor right on my arm, and this, technically, is a sense of like, transhumanism. And so what it’s doing is, there’s a prick in my arm, there’s a needle in my arm, and it’s reading and reporting out my glucose levels to my phone, and it’s doing this every couple minutes, like, This is unheard of, right? If it can happen like this currently, imagine what’s going to happen in five years with the technology that’s being produced.
Rolando Rosas 17:49
Yeah, there’d be many other things, right? Tons of glucose. This is
Chad Rubin 17:53
just a small part. Like, I just want to understand how glucose is affecting inflammation in my body. Inflammation affects your life longevity, and so all of this is going to be crunching data, like going back to data as the new oil. This company that’s reading all my data right now has significant amount of data to now, then go back and improve outcomes for humanity. Wow.
Rolando Rosas 18:17
You know, we’ve touched on all the good things that AI is doing. I know you’re fired up about how folks claim to be using AI, and I alluded that in the intro the how FTC is cracking down on companies that saying they do an AI and they’re going to deliver certain things using AI and not actually doing it. I know you’re really fired up about that topic. Why are you so fired up about that?
Chad Rubin 18:41
I’m fired up because. Well, firstly, I invested 2.4 million to build my own AI internally at Profasee. So we’re an AI first AI native company. And then when you look in our space, when AI came out, everyone just changed their headline of their h1 tag in their website to say AI this or AI that, and it’s very, very misleading. So it’s almost like you look at a cereal box Honey Bunches of Oats or Lucky Charms, and it says gluten free on it, and it says, I don’t know, healthy or like, all the fiber you need, or paleo, or whatever word that they use buzzword, and it’s actually not good for you, right? You have to go back look at the nutritional facts and see that it’s actually horrible for you. So in that same vein, you have people that are using the word AI, it’s all hype. So they’re just saying that they’ve got it without the Teck to back it up. And then when you go and see how it works, they started saying, Oh, we’ve got proprietary patents and algorithms and and then really, you dig deeper, and you’re like, wait a minute. This is a bunch of if then statement. These are Excel spreadsheets that are typed together that are like, duck. Taped together, and
Rolando Rosas 20:01
I’ve got the FTC article using some of the words that you just said. It says, FTC announces crackdown on deceptive AI claims and schemes. This is September, 2520 24 with Operation AI comply agency announces five law enforcement actions against operations that use AI hype or sell AI technology that can be used in deceptive and unfair ways. And if you go through here, there’s even, there’s a company in our space e commerce empires, there’s FBA machine and a few others, but exactly what you’re saying that a lot of hype and not real. AI, I think people are get wrapped up in, like, thinking we could just trick people to thinking that AI, and it’s a real big warning for a lot of companies that maybe think they’re going to make a quick buck, and the Feds aren’t watching this.
Chad Rubin 20:59
Yeah. So I think that there are always first on e-comm, more than many industries. It just feels like there’s a lot of Grifters in the space. So it’s not surprising that they’re just advertising this and don’t have it to back it up. But I also get concerned around government intervention, around AI to a degree, right? So I think there has to be, like, a very careful balance around like regulations around AI and certainly deceptive practices, that’s happening currently and then also, but not preventing innovation. And that’s always hard. That’s hard for the government.
Rolando Rosas 21:32
Give me an example of what you would consider stifling innovation when it comes to AI.
Chad Rubin 21:39
Okay, this comes down to like, beliefs, but like, let’s get into it, right? So I’m much more of a, let’s just say I like small government approach, so I’m not into regulatory enforcement actions. Okay, so let’s just say AI can produce bad outcomes. Let’s just say you’re like, ever seen Breaking
Rolando Rosas 21:59
Bad? I haven’t Dave, that’s his thing.
Chad Rubin 22:03
Maybe you can learn how to make some specific drug. Now, the challenge with oversight around AI is that you can crack down on it in the US, it’s all comes down to like keyboards behind the scenes, like the government doesn’t know that you have a keyboard that’s traceable if you’re producing a nuclear weapon, there’s things that are traceable, like uranium, that you can go and be like, hey, this person got their hands on this and they shouldn’t have whereas AI, if got into the wrong hands, there would have to be an overreach around the government to get the AI model that you have in place, and that could be a little bit challenging, let’s just say, so I don’t actually have an answer for it. I can just see that there is going to be a lot of regulation, and we’re still trying to figure out the boundaries that need to be regulated around AI, because a you can actually program it to have bad outcomes, but also you can program algorithm, so that it actually feeds you only a specific outcome, and that is also problematic.
Rolando Rosas 23:07
So what I hear saying is that we still have a lot of room in this space when it comes to AI, because a bad outcome for one person is a great outcome for another. If I can make it so that the stock market price on the stock goes down, I may be betting short on it, and I’m going to make a fortune, right? And that’s a great outcome for me. Bad for you, good for me, right? So what’s bad to one person or one industry may be terrible on one end and awesome on the other, or competitor, even you could use it in Target competitors, their fall is my gain?
Chad Rubin 23:41
Yeah, so let’s put this in a context that people can understand, that are listening. So you’re on Facebook, and let’s just say, again, we’re not going to make this about political beliefs, but let’s just say you subscribe to a specific belief. Well, you’re going to typically, probably watch things that enforce your own opinion, and the algorithm reads that, it understands it and it gives you more of those things to connect with your dopamine, because the outcome is dopamine when you keep scrolling, right? So it’s already happening where algorithms are giving you only things that you specifically need to see and omitting other things. And this is happening on the other side too, not just on a Democratic side, tapping the repu side as well. And people are only seeing the things that they want to see, unless they’re like me, where I actually like to for curiosity. Actually, I like to see both sides of a story. So the what do they say the straw man and the Iron Man of it, and make my own decisions. But most people aren’t going to do that. And so my algorithm, my surfing on the net is very different than I think most people’s. But anyway, regardless of that, it’s already doing that, right? It’s already hitting your dopamine, and it’s already having outcomes that we actually didn’t even think were going to happen
Rolando Rosas 24:53
in society. We’re still, I think we’re still early with social media. You think of the evolution of humans, right? We’ve been around a long time, and TV and now social media, it’s a blip on the radar screen in terms of evolution. We do know what it does for some people, what it does for businesses, and again, it is a tool. I think a lot of people, when it comes to social media, have very hot button opinions, can it be bad, yes. Can it be good? Yes. Can two things be true at the same time? Yes, yes. And you know, everybody has their own feelings around it, and I don’t know if there is a right answer, but there certainly should be some kind of safeguards around it, especially if it has the potential to cause harm to the public. My
Chad Rubin 25:41
take is, I know that there’s going to be negative consequences, like everything has positive, negative consequences, and that’s all good, but this train is already in motion, and I am fully on it, because I’m not missing out on this. We are living in a very special moment in time, and I want to capitalize on
Rolando Rosas 25:59
Speaking of capitalize let’s jump on that, because I know that’s where, from a business perspective, you help companies, and one of the things that you do is not just AI pricing, but you know what? Let’s step back for a moment for those that have no clue, because there’s people that are in the space and kind of understand that. Some people don’t. They’ve never heard of it. What the heck is AI pricing? Anyways,
Chad Rubin 26:23
it’s Uber surge pricing for E commerce brands. So really, what does Uber do? Uber save signals like weather patterns. And so they’ll say, hey, it’s raining all right, there’s less black cars available. There’s a lot of people. They just off a flight. And we’re going to essentially slowly increase pricing because we know that there’s a profit opportunity that we can leverage for financial gain. And so we do that. We dynamically change price to really match the customer’s willingness to buy with the value that you’re offering. And so we change pricing to maximize specific intentions for brands, whether it’s revenue, profit or velocity, using price as the lever,
Rolando Rosas 27:02
and you’re saying companies like Uber, and they’re not the only ones that use this technology. Amazon uses technology, and others have been using this technology for years,
Chad Rubin 27:13
airplanes, Expedia, smart pricing with Airbnb, people have been doing this. It’s just that it hasn’t been done in the E commerce space.
Rolando Rosas 27:22
There are some I was reading an article I have not run across this word, and maybe you have surveillance pricing is the term that I’ve run across getting ready for this surveillance pricing. And so that has a different connotation. Just the name, without even telling you what it is, surveillance. Sounds big brother ish and oh my goodness, they’re watching me. And words matter, right? But that’s the phrase being thrown around. And also, FTC is looking into this because they want to make sure that people aren’t getting gouged. What do you say to the consumer? Yeah, I’m an Uber have the app on my phone and it’s annoying. All of a sudden the price if I put myself in the consumer side, I’m like, God damn it, I’m in New York City, and all of a sudden, those prices spiked. Maybe I’m going to walk instead. I don’t want to pay that fee.
Chad Rubin 28:11
Consumers have a choice. So let’s just use Uber as an example for now. First of all, the prices don’t always increase, sometimes they decrease. So it’s based on demand and based on supply and a whole lot of other factors that are signals that are driving this. So the interesting thing about taking an Uber is that you have options, like you can take an Uber, you can take a lift, you can take a via you can take a taxi, you can walk right? So there’s other options that you can take, and so you have the choice of how you want to spend your money. To me, the reason why I launched Profasee was, you look at Wall Street, you look at hedge funds, or quant hedge funds are leveraging this in the financial markets, right? So they’re exploiting inefficiencies, and we’re just doing that same thing in the Amazon marketplace environment. And the interesting thing is, financial markets are not efficient. This is how people how people actually earn their alpha or make money on financial markets, is that they realize it’s not efficient, and this inefficiency stems from behavior because people don’t make efficient decisions. So then you look at Amazon, and you look at all these signals, even just for a click through rate on Amazon, you have to look at seven different different factors to make a decision. And so shoppers aren’t making efficient decisions, and they’re not making rational decisions when they click onto something, and if they’re not processing information perfectly, that becomes an opportunity to exploit for financial gain. And so when you say, hey, what do consumers think, well, this is great for consumer shows like when nobody is shopping, or when it’s very low in demand, there’s an opportunity for lower prices. So it’s not just that prices go up, prices go down,
Dave Kelly 29:51
prices go down. We were looking at a report from like it was Jungle Scout, related to Amazon sellers. This. Said in 2024 that there was 34% of Amazon sellers that weren’t experimenting with pricing strategies at all. Why do you think so many sellers are avoiding this? And how can tools like Profasee help overcome hesitations like this?
Chad Rubin 30:16
First of all, like most brands, the way they price stuff on Amazon, they look at the marketplace, they see what everyone else is offering, they copy the price that perhaps copied their price, and they go slightly lower, and they leave it there, stagnant, stable, forever. Maybe they run a coupon here or there. And so there’s a few things that are happening on Amazon. Specifically is that Amazon is very good at sleight of hand. And I don’t mean to say this in a negative way, right? Amazon just guides the behavior that they want their sellers to achieve. So instead of focusing on price, they of course, want you to have the lowest price, but they want you to focus on spending more through advertising spend. They want you to make better listings. So essentially, what’s happened is most brands actually don’t spend a lot of time thinking about price, and that’s a function of misinformation, not actually testing. There’s fear involved in this. And yeah, that’s really it. So now that you have Profasee, which is already testing this at scale and using AI to understand well, how does Amazon react to price changes? And how do we make changes that Amazon likes but also sellers like allow them to harvest profit without affecting their discoverability? And that is what we’ve
Rolando Rosas 31:39
cracked. You know you work with multiple clients, what have you uncovered that surprised you? Maybe some assumptions that you thought were one way and or the other?
Chad Rubin 31:51
I think the first piece is surprised me, like I built probs out of my own pain. So I have my own e commerce business, and I tried everything to turn this business around. And we’ve, like many brands, have been really getting compressed on our P and L so I’m staring at a palm tree here in Miami, and I’m like, Wait, why do we not change price? I have 500 private label SKUs. We never change price, but we change our PPC spend. I just started, like, asking questions, and that is really when it became clear to me, like, maybe I just test this and let data drive my decisions. And so one thing for me, and I’m not going to speak about others, but like, for me, I was, like, I was ignoring a lever number one, and I was ignoring data. And so then I’m just following the herd, right? And like, I’ve never made money in life by following what everyone else is doing. And so that’s really when I started experimenting with pricing and discovered that it’s abundantly clear that most brands don’t even know how they price, including myself, we are leaving tons of money on the table, and that your rank won’t plummet if you’re consciously and smartly making price adjustments. And so that’s really the premise of how we started.
Rolando Rosas 33:05
Why is pricing still a sacred cow? I know you probably get some pushback when you talk to sellers and companies that want to sell their products online, and they’re like what you’ll know about that Chad and changing moving price, and I know that, but I don’t know if customers will be willing to pay more than $20 for a product, let alone 15. So why should I do that?
Chad Rubin 33:32
Well, we show results. So typically, we have, on average, we see a 10% lift in profit. Why is it a sacred cow? I think goes back to this fear, misinformation, and so one of the things I’ve had to do is I have to have a ROI guarantee. There’s not one agency I actually, I’m gonna ask you, right? You’re in the Amazon space, tell me one agency or one software that guarantees an ROI in our
Rolando Rosas 33:58
space? I’m not aware of any, none, not
Chad Rubin 34:01
one. And we’ve had to do that because of this idea that pricing can’t be touched. And so then they just have one fixed price that ignores seasonal behavior, consumer behavior, it’s not driven based on any data. And demand is changing. Demand evolves. Ad Spend is changing. But yeah, your pricing doesn’t. It doesn’t make sense. And so pricing should be fluid, in my opinion, not sacred. There’s not one perfect price, and if you have one perfect price, it creates the perfect problem.
Rolando Rosas 34:36
You know this idea of a moving target on price, it’s foreign to a lot of people, because you set an MSRP and do a promotion discount, and then the price goes back. And for those that are not in the E commerce space, it is real common, the promotional price, and then that ends, and then you go back to the regular price. But what you’re saying is the world is different. You’re not going to lose money by experimenting. Pricing it for not you’re leaving a ton of money on the table because customers are willing to pay more. So that’s the value proposition. How much are customers willing to pay for a product, whatever that product is, based on demand or seasonality. And it seems like you’ve found a very effective way to help businesses get the most out of that.
Chad Rubin 35:23
Yeah, precisely. And so again, it’s not just increasing price, it’s decreasing price as well, to find the optimal price in season or out of season. Another example you mentioned that you start off reselling product. And I think one of the reasons why you have companies, big companies you mentioned, one that you used to buy from closing down is that you have massive channel conflict. They have their wholesale channels they’ve been selling into, they have their big box retailers they’ve been selling into, and now they’re a slave to one price. And then you have a nimble, strappy Amazon brand that creates something that’s very similar with even better branding showing more value through differentiation, maybe quality or even positioning, and now you have that brand winning on Amazon, taking share, massive share, and going direct from China, direct to An Amazon facility. Like how can those companies compete?
Rolando Rosas 36:23
Big companies have a harder time on Amazon? Because in talking to somebody like James Thompson, he said something that to me was like, it blew my mind. He said there’s companies that he’s talked to, big companies that are retail first and then go to Amazon or go to the E commerce space. They still have a mindset that is from 1996 and they apply that on Amazon, where search results have all kinds of stuff. Amazon ads at the top, a bunch of ads now in the first row and sometimes the second row ads all over your page. So there’s shining things all over that you never have to worry about if you have your own website, you never have to worry about hijackers on your own website. You never have to worry about something happening on your listing, and all of a sudden it goes dark for no fault of your own, just because some silly word appeared and the bot thought it was something else. All these factors when you think about most large companies that have a transition over to Amazon, or try to play in the Amazon space, they try to do the heavy lifting with just a handful of people that clock in nine and leave at five, the problems don’t end at five o’clock, and they continue through the weekend. And so a lot of smaller, like you’re saying, a lot of gritty, scrappy Amazon sellers understand this dynamic, and they leverage it to their fullest advantage.
Chad Rubin 37:51
Yeah, and I think this brings it full circle to how we started this conversation around data. Is the new oil these big companies, if you have a handful of people that you’re selling into, and they’re controlling the relationship to the customer. You’re getting no data. They have no data.
Rolando Rosas 38:07
And data is what should drive the decision. And I think, if anything, what I’m waiting for, especially on Amazon, because now Amazon has a lot of tools, tools that are available today. Externally, Amazon is getting scrappy about saying, Oh yeah, reimbursements, we do that now. Oh, images generation, we do that. Now we generate, oh, listings. That’s a problem. We do that now we help you do that Q and A. They do the Q and A. Now we do that. Now, what do you think this is going Chad,
Chad Rubin 38:37
so this is a whole nother conversation we’re about to open up. Maybe this goes into the next conversation when you have me on. But I do believe that there’s a commoditization of software that’s happening like the barriers to entry have become lower and lower, and they’re getting lower even with AI like getida doing reimbursements. Now there’s 20 companies doing reimbursements, deciphering who’s the best and figuring that out. It’s so much noise, everyone’s now just the price is dropping, and now that’s affecting the revenue, et cetera. Look at the Shopify app store. These Shopify apps used to have exclusivity. They’re all these upsell apps and differentiated apps, and now you have all these international, overseas apps getting that price down to zero effectively. And so the problem is, and I think this goes back to what I was stating at the beginning of the conversation, is that SaaS has to move software, in general as a service, has to move to making you more effective. And essentially, what that means is it has to actually do the labor for you to make you more effective, not just show you a bunch of spreadsheets and you have to make decision, because you can still be a fool with a tool. You’re still a fool, but now you have AI agents making decisions on your behalf. That. Is a game changer, and that’s where I think things are going.
Rolando Rosas 40:02
Wow, wow. That’s amazing. Chad, if we could spend easily two more hours, because there’s so much to dive into with AI, the future sellers regulation. We’re just scraping the surface right now. It is an amazing time to be in, because things are about to change. By the time this airs and people are listening to this, a whole lot will have happened. And I’m glad you came to share with us, and I look forward to having you on again, because I can’t believe our time with you is almost up. So Chad, I want to thank you for coming on the podcast today, I really appreciate that. Thank you very much. Thanks for having me absolutely and so if you’ve enjoyed this podcast session with Chad, I invite you to go ahead and hit that like and subscribe button, because it lets us know that we’re on the right track, and it also lets us know that we should bring more guests like Chad. And if you’re a company that wants to support us, check out the links in the description Global Teck Worldwide provides complex IT solutions to those that are looking for that, and we’ve been around for 20 years, so we could be your trusted partner. Lastly, if you enjoyed the episode with Chad, you’re going to really find the episode with Neil Patel really interesting. He had a lot to say on why companies are drowning in the sea of noise when it comes to content creation, it’s not King. Find out why he said content is not king anymore, so go check that episode out, and I will see you in that episode. Thanks for joining us today.
Recent Comments