1 00:00:06,210 --> 00:00:14,700 In this lesson, we are going to talk about opportunities for startups, considering especially the 2 00:00:14,700 --> 00:00:18,780 characteristics of the new artificial intelligence. 3 00:00:21,410 --> 00:00:30,740 So it's important in this section to also remember what happened during the internet revolution and 4 00:00:30,740 --> 00:00:34,250 the changes in the field of startups. 5 00:00:35,090 --> 00:00:38,540 Do you remember the internet hype? 6 00:00:38,570 --> 00:00:42,260 Do you remember the initial.com startups? 7 00:00:42,290 --> 00:00:43,970 Do you remember the bubble? 8 00:00:43,970 --> 00:00:44,660 Blah blah blah. 9 00:00:44,840 --> 00:00:46,850 So we have a. 10 00:00:50,320 --> 00:00:56,860 We are similar in some senses situation with artificial intelligence. 11 00:00:57,690 --> 00:00:59,460 We are a lot of hype. 12 00:00:59,460 --> 00:01:06,720 We have different waves of companies, different ways of startups, and this is just starting. 13 00:01:07,320 --> 00:01:13,500 So we are going to talk about startups a lot in this, in this section. 14 00:01:13,500 --> 00:01:19,710 And I think that the material we are providing in the attached materials, uh, is great. 15 00:01:19,710 --> 00:01:25,110 It's going to be super helpful for you, not just if you want to be an entrepreneur or if you are an 16 00:01:25,110 --> 00:01:26,310 entrepreneur right now. 17 00:01:26,310 --> 00:01:34,410 Also, if you want to work in the startup, uh, world, uh, but even if you are in the business side, 18 00:01:34,410 --> 00:01:40,800 you know, the corporate side, uh, you will find that many of the movements we are seeing in the startup 19 00:01:40,800 --> 00:01:46,950 world have a very interesting consequences, uh, in the corporate world as well. 20 00:01:46,950 --> 00:01:53,730 So very interesting section, the one we are, uh, reviewing. 21 00:01:54,090 --> 00:02:05,250 So the one of the most important things to keep in mind is that artificial intelligence is more than 22 00:02:05,250 --> 00:02:07,860 just a technological tool. 23 00:02:09,060 --> 00:02:11,910 It is a paradigm shift. 24 00:02:13,290 --> 00:02:20,730 Redefining how companies operate and serve their customers, I repeat. 25 00:02:21,620 --> 00:02:26,510 Artificial intelligence is more than just a technology tool. 26 00:02:27,020 --> 00:02:35,030 It is a paradigm shift redefining how companies operate and serve their customers. 27 00:02:35,030 --> 00:02:44,150 So if I tell you that the way companies operate and serve their customers is changing, you will tell 28 00:02:44,150 --> 00:02:47,120 me what this is essential for companies. 29 00:02:47,120 --> 00:02:50,720 So you tell me this is changing a lot is changing. 30 00:02:51,020 --> 00:02:51,470 Yeah. 31 00:02:51,470 --> 00:02:53,870 This is what is happening right now. 32 00:02:55,770 --> 00:02:58,980 Artificial intelligence is a paradigm shift. 33 00:03:00,400 --> 00:03:06,520 Redefining how companies operate and serve their customers. 34 00:03:06,520 --> 00:03:07,780 This is huge. 35 00:03:09,180 --> 00:03:11,730 Second very important point. 36 00:03:12,570 --> 00:03:22,740 Startups with their agility and innovative approach are at the forefront of this revolution and the 37 00:03:22,740 --> 00:03:26,940 opportunities to create value are immense. 38 00:03:28,020 --> 00:03:30,600 So same thing. 39 00:03:30,600 --> 00:03:34,860 It's very helpful for us to remember what happened during the internet revolution. 40 00:03:34,860 --> 00:03:38,370 So usually big companies are. 41 00:03:41,830 --> 00:03:45,940 He's not lazy, is reluctant to change. 42 00:03:45,940 --> 00:03:56,920 So startups, by its own definition and characteristics, are much better suited for change and innovation. 43 00:03:57,010 --> 00:04:00,280 So this is a huge opportunity for startups. 44 00:04:01,330 --> 00:04:05,170 A we are talking about a. 45 00:04:06,470 --> 00:04:10,220 Huge opportunities to create value. 46 00:04:10,950 --> 00:04:20,190 And we are talking about these small companies, the startups that are very fast and that are very innovative. 47 00:04:20,790 --> 00:04:24,750 So the sky is the limit today for startups. 48 00:04:26,160 --> 00:04:27,810 Another important point. 49 00:04:28,380 --> 00:04:40,620 The success of every any artificial intelligence startup depends not only on technology, but also on 50 00:04:40,620 --> 00:04:47,280 vision, adaptability and a deep understanding of market needs. 51 00:04:47,280 --> 00:04:51,990 So it's not just about technology. 52 00:04:52,530 --> 00:04:55,800 It's also about business. 53 00:04:55,800 --> 00:05:05,340 And you will see that whenever we are talking about a very technical field and very technical entrepreneurs, 54 00:05:05,340 --> 00:05:09,390 sometimes they are so in love with technology that they. 55 00:05:10,320 --> 00:05:13,440 Forget that technology. 56 00:05:14,220 --> 00:05:21,120 In order to have a business sense have to respond to a customer problem. 57 00:05:22,350 --> 00:05:25,350 So very important to keep that in mind. 58 00:05:25,350 --> 00:05:32,580 The success of an artificial intelligence startup depends not only on technology, but also on vision, 59 00:05:32,580 --> 00:05:37,320 adaptability, and a deep understanding of market needs. 60 00:05:38,220 --> 00:05:41,940 A deeper note about agility. 61 00:05:42,810 --> 00:05:52,860 So the situation today is a challenge for large companies and an opportunity for startups. 62 00:05:53,780 --> 00:06:01,070 Despite the enormous promise of these technologies, large companies are in a tricky position. 63 00:06:02,060 --> 00:06:08,000 The rapid pace of artificial intelligence advancement is overwhelming. 64 00:06:08,740 --> 00:06:17,230 And the bureaucratic structures of large corporations often hinder rapid adoption and adaptation. 65 00:06:18,160 --> 00:06:26,170 Large companies struggle to keep up with the latest research, and their decisions are happening, are 66 00:06:26,170 --> 00:06:34,150 hampered by the need to focus on short terms, financial results, and change management. 67 00:06:34,570 --> 00:06:43,750 In this scenario, startups have an inherent advantage their agility and ability to innovate without 68 00:06:43,750 --> 00:06:45,010 constraints. 69 00:06:45,760 --> 00:06:49,090 Okay, so excuse me. 70 00:06:49,090 --> 00:06:50,200 Second. 71 00:06:50,850 --> 00:06:52,800 Very important message. 72 00:06:53,190 --> 00:06:57,570 Agility is an advantage of startups. 73 00:07:00,170 --> 00:07:00,740 Third. 74 00:07:00,740 --> 00:07:02,810 Very important note. 75 00:07:03,690 --> 00:07:14,310 The main challenge from for startups is going from a demo to a product, a professional product. 76 00:07:14,730 --> 00:07:21,420 That's why this program is so important because we go farther. 77 00:07:21,420 --> 00:07:30,600 Most courses that are talking about toy demos that are giving you some simple ideas that. 78 00:07:31,610 --> 00:07:35,960 Are very frustrating when you want to go to the market with them. 79 00:07:36,230 --> 00:07:44,210 So in this program we are going until the last step, the professional application. 80 00:07:44,210 --> 00:07:55,610 So while building prototypes and demos has never been easier, the real test for startups is to move 81 00:07:55,610 --> 00:08:01,220 from the demo phase to creating robust and scalable products. 82 00:08:02,270 --> 00:08:10,970 Artificial intelligence startups must focus not only on technology, but also on understanding market 83 00:08:10,970 --> 00:08:13,790 needs and adapting quickly. 84 00:08:14,880 --> 00:08:19,290 Okay, and last note about AI startups. 85 00:08:19,290 --> 00:08:28,980 Very important note with as many possibilities as the new artificial intelligence opens up, it is essential 86 00:08:28,980 --> 00:08:39,690 for startups to focus on specific areas whether enterprise solutions, market niches or sectoral problems. 87 00:08:40,200 --> 00:08:53,100 So one of the big temptations of the current situation is trying to solve every problem that AI can 88 00:08:53,100 --> 00:08:59,340 solve, or trying to serve every possible customer I can help. 89 00:09:00,150 --> 00:09:07,110 It is very important for the startups to focus their attention in a small niche. 90 00:09:07,110 --> 00:09:12,120 At first, this has been one of the golden lessons of the startup world. 91 00:09:12,120 --> 00:09:19,290 During the last 30 years and we need to keep applying this principle in this moment. 92 00:09:19,500 --> 00:09:28,560 If you plan to create a startup or if you are working in the startup world, do not forget the niche 93 00:09:28,560 --> 00:09:29,580 focus. 94 00:09:29,580 --> 00:09:38,130 It is very important for you to focus on one particular segment of customers and to deliver the best 95 00:09:38,130 --> 00:09:39,510 solution for them. 96 00:09:40,120 --> 00:09:40,930 Later. 97 00:09:40,930 --> 00:09:47,200 Once you have been successful with this particular niche, you can start growing in other niches. 98 00:09:47,200 --> 00:09:57,280 But initially do not try to serve a very big, uh, market or very different, many different kinds 99 00:09:57,280 --> 00:09:58,510 of customers. 100 00:09:58,900 --> 00:10:05,620 Find a niche where you can be highly successful and focus your attention there. 101 00:10:07,870 --> 00:10:09,190 In this lesson. 102 00:10:09,370 --> 00:10:15,670 Then we have been talking about opportunities for startups, thinking about the characteristics of the 103 00:10:15,670 --> 00:10:17,740 new artificial intelligence. 104 00:10:17,740 --> 00:10:24,580 In the next lesson, we are going to be talking about the artificial intelligence impact on employment 105 00:10:24,580 --> 00:10:26,230 and startups. 106 00:10:26,500 --> 00:10:33,190 If you remember when we were talking about AI and jobs, uh, AI and businesses, I told you this is 107 00:10:33,190 --> 00:10:37,210 not just important for professionals or for companies. 108 00:10:37,210 --> 00:10:39,760 This is also important for entrepreneurs. 109 00:10:39,760 --> 00:10:44,080 So you will see in the next lesson why I was telling that.