How to Build a $1M AI Business with 2 people in 90 Days | Alex Mashrabov, Founder and CEO of Higgsfield AI

Alex Mashrabov grew Higgsfield AI to $200M ARR in 9 months — faster than Slack, Zoom, or Dropbox. In this episode, he shares the exact AI startup playbook: $0 to first dollar in 30 days, $1M ARR in 90. In this episode he shares the exact playbook: how to go from $0 to your first dollar by day 30, and $1M ARR by day 90. This conversation is for anyone who wants to start something but keeps thinking it's too late. We cover: What he'd do if he had to start from zero todayThe ideal AI founding team (and why you only need 2 people)How Higgsfield found product-market fitWhy they ship product releases 6 days a weekFunding strategy for AI startupsHow small teams build big companies in the age of AI 🎧 More from the Silicon Valley Girl: Newsletter:⁠⁠⁠⁠⁠ https://siliconvalleygirl.beehiiv.com/⁠⁠⁠⁠ https://siliconvalleygirl.beehiiv.com/ Instagram: ⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/siliconvalleygirl/ ⁠⁠⁠⁠⁠⁠⁠ https://www.instagram.com/siliconvalleygirl/ YouTube: ⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@SiliconValleyGirl⁠⁠⁠⁠⁠⁠⁠ https://www.youtube.com/@SiliconValleyGirl LinkedIn: ⁠⁠⁠⁠⁠⁠⁠linkedin.com/in/marinamogilko⁠⁠⁠⁠⁠⁠ https://www.linkedin.com/in/marinamogilko/

Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.

• 0:00Speaker 00

  UKG is the workforce operating platform with unified HR, payroll and workforce management. Built to solve the unique challenges of frontline work. Powered by People First AI and decades of labor data, UKG turns workforce intelligence into real time decisions around staffing, pay, compliance and productivity, enabling every worker to confidently take action as work happens. Because when work works, everything works. Learn more at ukg.com/work. UKG, HR, Pay and Workforce Management.

• 0:37Speaker 01

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• 1:00Speaker 02

  A lot of businesses can really scale to tens of millions of dollars a day profitably with AI.

• 1:05Marina Mogilko?

  This is Alex, founder of Hixfield, an AI company that hit a $200 million annual recurring revenue in just nine months, faster than Slack or Zoom. And what he told me about starting a business today completely blew my mind. And you can copy his strategy too.

• 1:22Speaker 02

  Focus on bringing like the first dollar by day 30 of product developments and maybe one million ARR by day 90.

• 1:29Marina Mogilko?

  That's a lot.

• 1:30Speaker 02

  I just think it's the next industrial revolution. It's probably more powerful than the internet. For many, many young people, AI becomes social elevator.

• 1:37Marina Mogilko?

  For someone who still has fear, like this is moving so fast. I don't know how I can start. Can you give them one piece of advice?

• 1:43Speaker 02

  First, I would start from.

• 1:47Marina Mogilko?

  I have an amazing guest today. I am so excited to learn from you. Let's get very practical right away. You built Higgsfield and achieved $200 million in revenue in nine months. Let's imagine, I don't want this to happen, but let's imagine a scenario when you have to start from scratch tomorrow and you have 90 days to launch a business idea. From what you've learned with your experience at Higgsfield, what would you do?

• 2:13Speaker 02

  I think it all starts with maybe a team of two. Someone who is builder, who can go within twenty four hours from idea to a product. And now it all becomes possible. There are so many databases, there are so many payment systems and so on, which simplify creation of MVP. And then someone, as I call it, go to market person, who has this natural empathy maybe or understanding of the sort of target distribution, whom they're selling to, and who can come up with interesting kind of new content formats, which can resonate with the target audience on social media. And I think this is a very different skill set from the like marketing roles of the previous decades.

• 2:58Marina Mogilko?

  And how many times should they be ready to iterate? How many ideas?

• 3:03Speaker 02

  For example, for us last year, we were iterating every day. So it was six days a week. And every day we were putting new product release. As we were trying to find workflows and use cases, which have high frequency and which matter for our target audience. And then, once the technology gets there, it's important to develop sort of the workflow, which is easy enough, but gives enough configuration as well. This dilemma of the perfect interface is still not solved, frankly. So this is another reason why we embrace daily iteration. And on top of all of that, every month, the whole industry resets. They completely push the boundaries in terms of the capabilities.

• 3:48Speaker 02

  There are probably, let's say, five leading research labs. And each lab is pushing massive updates every quarter. So at some months, we have even two major updates. And it typically requires to substantially rebuild the whole product around those models. So it's exciting time today because product builders like ourselves at Higgsfield, we just try to evolve the product so that it highlights the best possibilities of these models to our customers. But that's a constant race.

• 4:22Marina Mogilko?

  Yeah, it sounds like a very challenging race. And I think you mentioned that last year was one of the hardest for you, when a lot of things were not working. Can you talk to me about that one thing that actually worked?

• 4:32Speaker 02

  In twenty twenty four, we really started from the mobile apps. And things were not working well because retention for mobile apps is relatively low. Things drastically changed for Higgs field. When we started to constantly iterate with creatives. And we just asked them very simple question, like, did you see this video? This was a cool AI-generated video and they said, oh, no, how is this possible? What's the cost? And we say, it actually costs maybe less than five hundred dollars to make this video. And then we ask, did you actually try these models? What's your experience with AI? And obviously, everyone tried AI back by then, even by maybe February last year.

• 5:16Speaker 02

  Everyone tried AI, but everyone had some issues with that. Back then, we realized that the core limitation was around camera control, like lots of creative directors, they really wanna control all the camera effects, camera angle and so on. Back then, there was no system to achieve that. So that the initial traction of higgsfield.ai came from these camera controls, which we implemented on engineering side based on the feedback from creatives.

• 5:46Marina Mogilko?

  So how many interviews did you have to conduct to come up with this feature?

• 5:49Speaker 02

  This is a very good question, but it kind of puts me on a weak spot, frankly. Because we interviewed eight people, eight out of eight said the same thing. And we talked from Hollywood level movie directors to like regional producers of commercials. Everyone had the same feedback.

• 6:07Marina Mogilko?

  And how did you select those people? Were they customers already or you just wanted to talk to people in the industry?

• 6:11Speaker 02

  Actually, this was probably a challenge as we wanted to talk to people who we don't have a very close relationship to just get unfiltered opinion. But the feedback was very consistent. Everyone was missing these camera controls. So that's what we delivered March last year. Then in April, we delivered a library of visual effects. And then I think in June, industry completely changed. We saw the emergence of AI native marketing agencies. So essentially, those agencies, they completely go end to end with AI. And very often, they try to bypass incumbent tooling, like for example Adobe or something else, and go end to end with AI.

• 6:54Speaker 02

  On the one side, they are very limited because

• 6:59Speaker 02

  AI capabilities back in June were a little limited. On the other hand, they drastically improved their margin profile. And they kind of showed their clients that they can build ads within days. A lot of brands actually wanna have constant content flow on their socials and they wanna embrace AI. And then from June to December last year, this this new industry of AI native agencies completely exploded.

• 7:30Marina Mogilko?

  But basically, you said the the start of your growth was the multi-angled camera view, and it came from talking to people in the industry. I love that. And also, the number eight is actually very consistent from what I'm getting, talking to other founders. It's normally like 12 to 20, but it's not too many interviews because I feel like a lot of people think they need to talk to thousands of people to figure out the problem. But it's actually like around 10 interviews.

• 7:55Speaker 02

  Yeah, absolutely. So eight people who actually helped us to shape the product. And then I think we hired four of them.

• 8:01Marina Mogilko?

  Oh.

• 8:01Speaker 02

  Full-time, yes. So now we have this feedback loop within the team.

• 8:05Marina Mogilko?

  That's awesome.

• 8:06Speaker 02

  And that's how we realized that probably the best product in Creative AI is going to be built in symbios, like in collaboration between engineers and between creators. So today, roughly half of our, maybe 40% of the team are engineers, maybe 40% are creators.

• 8:25Marina Mogilko?

  Like you said, two founders, right? One is technical, one knows the consumer. It's basically reflected in your team. Okay, let's let's get back to that tough year because I feel like for a lot of people, that's what they're scared of. So when you were building this and nothing was really working, and then Google releases the new Vio model, did you ever think about giving up on that particular market and starting something else because this was getting so crowded?

• 8:48Speaker 02

  I think we were committed to figure this out. There are two reasons why we had a conviction. First is that prior to that, I was at Snapchat, I was running Geniider, and I saw the uprising of TikTok and CapCut. CapCut became top five apps in the world.

• 9:07Speaker 02

  And it's unprecedented, it's not a messenger, it's not a social media. And this was a strong signal for me that the needs of social media creators are simply unmet in the markets. And the second reason why we had conviction, we constantly heard that creators feel a burnout from sort of feeling pressure to record multiple videos a day for socials with their own face. Mr. Beast, he spoke very openly about that. But that's, I think that has been a primary challenge for the whole industry over the last four or five years. And then what was surprising to me is that advertisers have the same problem.

• 9:52Speaker 02

  Most of the advertisers talk about like maybe mid-market brands, they can be spending hundreds of millions of dollars on marketing and they don't have any production team.

• 10:03Speaker 00

  UKG is the workforce operating platform with unified HR, payroll and workforce management. Built to solve the unique challenges of frontline work. Powered by People First AI and decades of labor data, UKG turns workforce intelligence into real-time decisions around staffing, pay, compliance and productivity, enabling every worker to confidently take action as work happens. Because when work works, everything works. Learn more at ukg.com/work. UKG, HR, Pay and Workforce Management.

• 11:03Marina Mogilko?

  So you chose the right part of the market. This is what I'm hearing. So I feel like for every entrepreneur who's watching, when you see a big opportunity in the market, you also have to spot who's paying the most, not just go after each user, right?

• 11:16Speaker 02

  Absolutely. We live in a very interesting era where all the powerful companies try to give AI to everyone. Literally Meta, XAI, Google, Microsoft, OpenAI, Anthropic, BIDEN, and many, many more. I think each of those companies wanna give AI to all its customers, really. That's why startups have to have more nuanced view of the world and have to have more nuanced set of customers. And I think startups today are sort of incentivized to stay cash flow positive and build real business from day zero. This is what I see across Higgs field

• 12:01Speaker 02

  and the other top application AI companies. So I think this also creates a very interesting dynamic that the target audience should be maybe tens of millions of users who are willing to spend, hopefully, a couple thousand dollars a month. So it's not for everyone, but the delivered value should be so strong. So the product should be so good so that it kind of sells itself.

• 12:27Marina Mogilko?

  I love that. And I love that you have a concrete number, $2,000.

• 12:31Speaker 02

  Yeah, $2,000. I'm not sure, like with Higgs field, for example, this is the core metric which we are tracking. Like, how much of the value we believe we provide, which is more like through the user interviews, but also how much we charge users annually? So this is one key metric. And we are not chasing just monthly active users, for example. Because the monthly active users number can be inflated through some viral effect. Monthly active user doesn't really speak to the frequency of the usage and the value delivered. So that's why for us, really, daily active users and average ACV, average contract value, those two metrics are the most important ones.

• 13:14Marina Mogilko?

  Can you give advice to? People who are watching haven't started yet, but they haven't started because they think a large company is going to take over. How should they think about their defensibility?

• 13:25Speaker 02

  I think each company can really keep their focus on maybe two or three top priorities. Interestingly enough, people like to say about Anthropic that their major success from MCP and Claude Codes actually was not like a top-down, but really bottom-up. And the Claude Code's success was not sort of planned. And I think it's true that like these large companies, they definitely can benefit a lot from applying top-down approach from two to three initiatives and really consolidating all the resources to make the most progress there. I just think it's the next industrial revolution. It's probably more powerful than the internet.

• 14:06Speaker 02

  So the number of products and ideas to be built, I think, just overweighs a number of ideas which OpenAI or Anthropic can push internally. That's why I would encourage builders to build, especially today when like a quite small team of maybe 10 people can build like high-scale products.

• 14:25Marina Mogilko?

  Do you think there is that we have a certain gap of in time when we can build? So for example, I've been hearing a lot in social media that we only have two years to build something new because then we're going to have some companies that reach AGI and it's going to be impossible to find a gap in the market because those companies are going to be filling those gaps.

• 14:43Speaker 02

  This is a good question. We definitely make tremendous progress as an industry to automating a work in digital world. And for sure, maybe next decades, there are going to be a lot of applications of AI in physical world. It's difficult to forecast how much progress we all are going to make there. But this decade is definitely the era of digital economy completely changing with AI, that's for sure. I really don't want to believe in the future when there are going to be maybe three labs who have the best models and these models controlling all the world. This could happen. That would be a very difficult future.

• 15:27Speaker 02

  So I would, I try to stay optimistic and encourage everyone to stay optimistic and really focus on building and delivering value. Like for example, today.

• 15:37Speaker 02

  I just wanna give you a very concrete example. So I recently spoke to a very large, very, very large, like property management company, which actually uses Higgs field to sort of advertise their buildings, their apartments and so on. Like, no one is building for this industry. Like, in this industry, there is a very specific

• 16:02Speaker 02

  workflow of a customer. Like, customer needs to learn about, about the property. Then they need to go to the website and get all the details. Then they need to call, then they need to show up, then they leave deposit and the whole customer journey. No one is actually building solution specifically for this industry to like cover this journey end to end with agents. And the reason why agents are going to deliver a lot of value in this specific business is that customers who wanna, maybe let's say, rent apartment, especially in certain price points, they wanna make a decision rather quickly. So every day of delay, every day of just moving from one stage to another is just, is just lost revenue.

• 16:48Speaker 02

  So, and this business owner just said to me that no one is building for their industry. And, and I'm confident there are many more examples like that.

• 16:56Marina Mogilko?

  Yeah, so riches are in the niches, as, as they say, from your experience when you pitched VCs with another AI idea. What makes a pitch stand out these days?

• 17:07Speaker 02

  I think today, there is definitely fear that OpenAI, Anthropic and other labs are going to just be very acquisitive and just trying to expand their product offering to multiple different verticals. Pretty much every week, there is clod for X launched and stocks go down. That definitely happens and that creates a lot of fear. And I would just say that the core insight for me personally was that most of these hot and hyped AI companies, they are actually cash flow positive. Like, maybe it is a wrong mindset to go and raise venture capital today.

• 17:50Speaker 02

  I think there is plenty of pre-seed capital available today.

• 17:55Speaker 02

  But I'm not sure every everyone needs like to raise C R S A, B, C, D and so on.

• 18:00Marina Mogilko?

  How much revenue did you have when you raised your first round?

• 18:02Speaker 02

  For me, with Hixville, yeah, it was probably easier because I had a previous exit. And we basically raised sixteen million dollars without having any revenue, just with maybe having like million users for our mobile app. But this is not exactly the way how I would recommend to build today. I would recommend to focus on bringing like the first dollar by day thirty of product development and maybe one million A R R by day ninety, and then decide if someone needs V C funding or doesn't need. I mean, a lot of businesses can really scale to tens of millions of dollars today profitably with A I.

• 18:45Speaker 02

  And for such businesses, there is no need to attract V C funding. I can give you a very simple example. So there are so many websites, we're just allowed to make professional photo shoot, like for basically for passport. Many of them make tens of millions of dollars. None of them are gonna be, yeah, none of them are gonna be venture capital backed business.

• 19:04Marina Mogilko?

  Well, and you said something, one million dollars by day ninety.

• 19:07Speaker 02

  A R R, meaning like eighty K a month.

• 19:10Marina Mogilko?

  Eighty, eighty K a month in three months, that's a lot. And so the playbook to achieve that is basically generate ads and launch them and test whether whether they're landing with your target audience?

• 19:20Speaker 02

  Paid ads are very difficult today, I think. A lot of distribution come through organic social media and creator integrations. And just make sure that by day thirty, there is monetization in place. And then there is a way to constantly grow to a revenue to, let's say, one million A R R by day ninety. Many successful companies scale very quickly today. Just different verticals have different capacity. Some, in some verticals, the ceiling could be just fifty million. In other vertical, one billion. In other verticals, like hundred billion.

• 19:56Marina Mogilko?

  Any tips on landing first customers in the first thirty days?

• 19:59Speaker 02

  Initially, at least last year, Twitter has been the social media.

• 20:06Speaker 02

  Where the distribution starts from. It starts from like small communities, then it goes to AI news pages on X. Then from AI news pages on X, it goes to Instagram news pages. Then from Instagram news pages to creators. Then it goes to Telegram and like other social media. That's what we have seen with Higgs field and with many other products as well, that they went through the same sort of journey of popularity and news through various social media, but it all originated on X. I think now it's been kind of changed. Today, a lot of hype, at least like a lot of companies, they sort of try to use X to boost their product. Sort of signal to noise ratio just drops.

• 20:50Speaker 02

  Twitter becomes less relevant, but still it's it's the main place for new AI products launch.

• 20:56Marina Mogilko?

  That's awesome. I'm still trying to crack the the X strategy. I feel like if you add a word breaking or just in to whatever you're posting in the beginning and should be in caps, like then then it performs.

• 21:08Speaker 02

  And then some something should be like clod, cooked.

• 21:11Marina Mogilko?

  Yeah.

• 21:11Speaker 02

  R I P like something like that.

• 21:14Marina Mogilko?

  Yeah, just wiped this out of the market. Yeah, it has to be very sensational on X, but you're so right. I've heard so many, and I know a lot of creators who build their whole like email newsletter, one million subscribers just off viral X posts.

• 21:28Speaker 02

  Yeah.

• 21:29Marina Mogilko?

  That's amazing. I love this life hack. Thank you so much.

• 21:31Speaker 02

  Well, this has been the primary life hack of the twenty five, and I do believe that the media evolves itself as well. So twenty six could be different.

• 21:40Marina Mogilko?

  I always see LinkedIn on the right, so maybe maybe LinkedIn.

• 21:43Speaker 02

  Maybe LinkedIn.

• 21:44Marina Mogilko?

  Your previous company, you sold it for one hundred sixty six?

• 21:46Speaker 02

  Yes.

• 21:47Marina Mogilko?

  Million. Were there any key learnings from that business or mistakes that you made that you will never repeat in this one?

• 21:56Speaker 02

  It's it's like never say never, but one of the key learnings for me and the key takeaways was to embrace meritocracy sort of like.

• 22:08Speaker 02

  I'm thirty and I feel sometimes that I'm quite old for this new era of AI. Like, a lot of new ideas in Hicksville today come from these kind of fresh grads, maybe twenty-three, twenty-five, who sort of maybe never worked in a large company, who are doing like freelancing with some vibe coding tools, who are doing vibe coding before the term vibe coding, basically. And they, they just think differently, and I think that's sort of maybe the right mindset. So traditionally, in any like corporation, those people would be just simply, no one would just simply listen to them. So, and the same applies to the creative role.

• 22:48Speaker 02

  So there is definitely some resistance from people who especially build like, let's say, like large Hollywood projects, that, oh, AI is dangerous, it's not authentic. And in the same time, it's really exciting that for many, many young people, AI becomes social elevator. And I sort of strongly relate to that personally, because for me, I had to do a lot of competitive programming. You know, like who solves more problem within like five hours, you know, like everyone in the world competes. So this was social elevator in twenty-ten, maybe. And this applies both to creative and to software engineering as well.

• 23:27Marina Mogilko?

  I love how you said that AI is your social elevator, because I feel like social media was the social elevator for me. Now is the era of AI. I think you mentioned that video models could be a path to AGI, and that you're also building a world model. Can you talk to me about that? And for everyone who's watching, just wanted to explain, I was just in Davos, and everyone was talking about LLMs having a ceiling, because basically just describing our world with words is something that we're used to, and there is a lot of information on the internet. But understanding the physics is the next level. I want to understand the physics, then we're gonna have robots walking around our house and doing chores, if I'm explaining this correctly.

• 24:06Speaker 02

  Absolutely. I think Demis. From Google and Elon from XAI, they started this narrative. And definitely, they are top influencers in the space. That's why now the narrative goes to masses to everyone. It's still unclear if that's sort of the path to AGI, although that's definitely a path to advanced robotic systems. Like, I think Elon proved to the whole world that self-driving cars can work really well through just cameras. And I think the same logic is going to apply to more advanced robots as well. That's why developing perception and visual understanding is critical for next wave of robotics.

• 24:49Speaker 02

  And it's a top priority for a lot of research labs as it's the next frontier. And there is no other way to improve video generation without visual understanding. Roughly, it takes around, I think people like to say that in one minute, we can read 200 words. One minute of the video can be described with maybe 10, 60,000 words. There is just so much going on.

• 25:15Marina Mogilko?

  If you and I were having coffee after this episode, I'd certainly pull up my phone and say, "Look what I tried this week. It changed how my tea works." This is what I do all the time. To share these kinds of things that don't fit into the podcast, I started my own newsletter. Every week, I read about AI tools, strategies, and experiments I'm running in my own business with real numbers, real results, templates that you can use, and also honest mistakes. If you want to be in the loop, the link is waiting for you in the description. So where do you see yourself in two years? Are you still working on videos? Or because I saw Menlo Ventures announced their investment in you and they said that Higgsfield is building the next world model. Do you feel like your focus is going to shift to that or you're still going to stick to the marketing with video?

• 26:00Speaker 02

  I think what differentiates us from many others is we are, from day zero, we are focused specifically on short-form content. And I do think that world model is going to change the way how social media content is made. So for example, next decade is going to be the era of interactive media. Uh, basically when games and videos are sort of blurred in like one experience, where like it's kind of choose your own adventure. So a lot of marketing is gonna go this way, especially kind of premium marketing and customer loyalty programs. I think this decade is all about supercharging creators and marketing with those models.

• 26:39Marina Mogilko?

  You said you're seeing customers with marketing budget over a hundred million dollars. Ninety percent of their ads are AI generated. As a creator, who's ninety percent of my revenue is from large corporations through from their marketing budgets, should I be afraid?

• 26:55Speaker 02

  This is a good question, and um, this is definitely where we should make sure that video AI can help personalities, like what I would love to see is that uh, creators like you, Mr. Beast and so on, who are sort of AI native, start to make like more channels and just expand their media presence and be like the whole media empire. So like the next media empire is gonna be built maybe with like three hundred people, five hundred people, uh, and be worth like ten billion dollars. So that's on the one side. On the other side, what I see personally is that essentially this

• 27:34Speaker 02

  high scale AI canon creation comes after uh, maybe a platform like TikTok Marketplace, frankly. So in the past, those brands, they could just hire sort of even programmatically thousands of creators through TikTok Marketplace just to do kind of this uh, templatized videos, like I use this product, it's so good, go buy that. So like this entry level marketing definitely gets democratized. Although, in my opinion, as we are seeing a lot of AI slope on social media and so on, uh, the genuine connection and understanding of audience now matter more than ever.

• 28:19Speaker 02

  So there are gonna be just a lot of average and above average content on the socials. Um, and I think this is happening one way or another. And just deep understanding of the audience and authentic approach matter more than ever.

• 28:36Marina Mogilko?

  Okay, so you think social media ladder, social ladder is not dead?

• 28:41Speaker 02

  Definitely not. I just think that authenticity is going to matter a lot. And and the way how I think about that is if, let's say, top creators now can make their own shows, their own movies with AI. And creators can drive a lot of traffic. That's going to affect like streaming business a lot, I think. So I think the revolution is going to come at every level. Although I think clearly people who already understand their audience, who have authentic approach. Those people are definitely gonna be the winners.

• 29:17Marina Mogilko?

  Okay, my last question, for someone who's watching this. Still has fear, like this is moving so fast, I don't know how I can start. I started something today, it's outdated by tomorrow. Can you give them one piece of advice so they can start?

• 29:31Speaker 02

  First, I think I would start from a position that large companies, Amazon, Microsoft, Google, OpenAI, Anthropic, think they're all relatively well positioned to be winners in AI era, as they simply control data centers, GPUs and so on. But I'm not sure there is much insurance policy for everyone else regardless, right?

• 29:57Marina Mogilko?

  Buy their stocks, yeah, I don't know. Just buy their stocks.

• 30:01Speaker 02

  Yeah, buying their stocks is a good idea. But that's, I think, I'm not sure we can share.

• 30:06Marina Mogilko?

  Not an investment advice, it's just personal chat.

• 30:08Speaker 02

  Yeah, I do think that there is a lot of value in these companies, but I mean, for for lots of others, right? I mean, we see the sell-off across us, we see the sell-off across cybersecurity. And then there is an ultimate question, if I wanna. Like basically depend on someone else to figure out AI strategy. Or I wanna embrace AI myself and benefit the most, right? I think that's a personal question for everyone. And as we all know that these technology revolutions, they're both fair and unfair. I think in long term, every technology revolution is fair. And GDP per capita and quality of life goes up on the horizon of 10 years. On the horizon of like three years, I think it's extremely unfair.

• 30:54Speaker 02

  Cause market just loves to pour money into companies which are winning. And companies which are like not winning, they immediately go down. But in the short term, I think that it's gonna be fair. Cause people, both on the creative side, marketing side, engineering side, those who are embracing AI. They can propel their career so quickly. In the end of the day, net it's gonna be net positive. Although I think individually, we all just need to think how I can personally benefit the most from AI, how I can become more efficient with AI. How the value of my skill set can actually grow with AI?

• 31:35Speaker 02

  And this always require using those agents and various AI models. Several hours a day to build this intuition.

• 31:47Marina Mogilko?

  Let's give them a home task. What should they do right after watching this video? Which tool should they start using and how?

• 31:53Speaker 02

  For me personally, I'm an immigrant. So you know, it just takes quite a bit of effort to come with a logical linear storyline. O3 Mini became my coach, really. This was the first aha moment for me. The second aha moment was around Gemini 3 Pro model. So I felt that my economic productivity really depends on like how much I use Gemini 3 model. These capabilities of the model which can process voice, which can make image. But which has also deep reasoning capabilities and deep research. This was mind blowing to me. So that's why I feel that my just economic throughput really depend on how much I use Gemini 3 today.

• 32:37Marina Mogilko?

  Do you use it to make decisions about your company, like strategic operations?

• 32:41Speaker 02

  I really feel that communication with humans.

• 32:47Speaker 02

  Becomes way more important skill set for me. Because a lot of other decisions, I'm sure Gemini III and Claude are gonna be better than myself. AI is not yet good in communication. So that's where I think I try to put a lot of my personal emphasis. Think other than that, a lot of process can actually be built with AI. So just human-to-human communication and sort of complex resolution. And maybe goal setting. And like number-driven goal setting really is where I put a lot of my time, my personal time. For everything else, I'm trying to evolve Gemini as much as possible. But also use Claude for Excel, Claude for X.

• 33:32Speaker 02

  Like, for example, Claude for cybersecurity, as it really increases the productivity.

• 33:37Marina Mogilko?

  Alex, thank you so much. It was amazing. I'm looking forward to reading your comments. What was your key takeaway and what are you gonna do right after this video? Thank you so much.

• 33:45Speaker 02

  Thank you.

• 33:46Speaker 00

  UKG is the workforce operating platform with unified HR, payroll, and workforce management. Built to solve the unique challenges of frontline work. Powered by People First AI and decades of labor data. UKG turns workforce intelligence into real-time decisions around staffing, pay, compliance, and productivity. Enabling every worker to confidently take action as work happens. Because when work works, everything works. Learn more at ukg.com/work. UKG, HR, Pay, and Workforce Management.

• 34:16Marina Mogilko?

  Welcome to the 50th Hunger Games.

• 34:18Speaker 04

  Witness the beginning of the revolution.

• 34:20Marina Mogilko?

  Hey Mitch, you've been trying to take down these games from the start.

• 34:23Speaker 04

  Film for IMAX.

• 34:24Marina Mogilko?

  Make them remember you.

• 34:27Speaker 04

  The Hunger Games: Sunrise on the Reaping, November 20th, rated PG-13.