What do you think, are we experiencing an AI startup boom like the dot-com bubble? And do you think that 85% of them will fail within 3 years?
It is difficult to say but artificial intelligence is just becoming popular and logically for any business the pioneers in the business usually have the upper hand. The present AI startups will have the benefit of being the first choice for most people who will become interested in the technology. The present AI startups will continue to grow, and in the next three years, they would have increased in the number of users that they have because of how known AI will be in the next few years to come. The present AI startups will dominate the market. 
Topic: 85% of AI start-ups will fail within 3 years. - page 3. (Read 677 times)
I think you are being conservative with this figure I will say that more than 90% of these AI startups will fail, and only 1% of them will come out a true winner like Google and Amazon. I believe we are just scratching the surface of this technology and companies that think they stand need to check it unless they will fall. As you can see here Google is playing catch up in the AI space. I prefer to use Chat GPT to Google search or Google AI, though it is still difficult to say this is the true winner for now but what companies will struggle with is how to make that shift from the known world to the unknown world. We just need to accept it the future is here we just don't see it
I think it is possible that 85% of AI startups will fail within 3 years. The success rate of startups in any industry is generally low and the field of artificial intelligence is no exception. While AI has a great potential to transform various industries, it is also a complex and rapidly evolving field that requires significant investment and expertise. Many AI startups face challenges such as data privacy concerns, lack of funding, difficulty in finding skilled talent and regulatory hurdles. Additionally, the market for AI products and services can be highly competitive making it difficult for new entrants to gain support. It is important to note that not all AI startups will fail. Some will be successful in developing innovative products and services and address specific industry needs and provide value to customers. Those that can secure funding, build strong partnerships, and attract top talent may have a better chance of success.
A project that can last up to 1 year should be able to continue to grow, a good project certainly has a clear concept and roadmap, the owner must be able to ensure that the roadmap can go according to plan, most projects fail because they don't know the direction and goals so they fail.
That sadly isn't good enough indicator for success. Startups are funded for years by investors and several of these startups are not able to make profits for years. For example it took Apple 2 years, Google and Intel 3 years, and Facebook/Meta and Ford 5 years to be profitable.
Adoption can take time even if startups are more feet on the ground profit centered. And more experimental they are, more likely it is hard to find adoption for your product. Especially when startups are cutting edge hi-tech and other infrastructure isn't ready for it yet.
If this statement holds true, the enduring companies would be those that possess genuine and robust business models, rather than relying on investors who simply pour money in with the aim of making profits. While we are familiar with or aware of numerous prominent AI start-ups, there are countless others that never even had the chance to materialize. Some of these start-ups faced the unfortunate situation where their founders raised funds, only to squander the money on luxurious cars or extravagant vacations, leaving the start-up to perish. Thus, I disagree with the notion that we are currently in an AI start-up bubble.
Investors with the aim of making profit are the people who made the capitalistic world work and develop. I am not giving my opinion here on whether or not I like capitalism, but without capital most of the applications and tools and services we use today would have never been possible in the first place. Pouring money into research and development is the key to progress. ChatGPT was co-founded by Elon Musk. Google is funneling massive capital into AI. Almost all of these startups had a head start with venture capital. That is how it works.
If this statement holds true, the enduring companies would be those that possess genuine and robust business models, rather than relying on investors who simply pour money in with the aim of making profits. While we are familiar with or aware of numerous prominent AI start-ups, there are countless others that never even had the chance to materialize. Some of these start-ups faced the unfortunate situation where their founders raised funds, only to squander the money on luxurious cars or extravagant vacations, leaving the start-up to perish. Thus, I disagree with the notion that we are currently in an AI start-up bubble.
This, in my opinion, is not surprising because AI has only really gained attention in recent years. Anyway, the first period is very difficult because it has not yet been maximized. Companies try to race with each other to launch prototypes; how can they meet the needs of users? The core is still identity because, anyway, we users mostly care about how good the experience is or not. Everything takes time to develop, and AI is no exception. A technology that wants to be truly breakthrough needs to do better every day. Let the future tell whether AI will really leapfrog human technology.
Yeah, it's likely we might see a huge percentage of AI startups failing within the first few years. Many are riding on the hype wave started by OpenAI, pitching crazy innovative ideas and concepts to attract investment. Investors are game too, hoping for a big payout if just at least one of the ventures ends up being successful. But every hype eventually comes to an end. Once the AI hype cools down, many of these startups may find themselves struggling. Some might survive. At least those that has some real use case. But yeah, it's kinda like the dot com bubble all over again like you said.
And are these AI startups really needed. Yes, there's a lot of hype going on right now. But then most people will play with it and forget about it. In fact, artificial intelligence capabilities are not needed by everyone. So there won't be many projects left - just a drop in demand. Most projects introduce paid features - and people, for the most part, like free
This is an opinion piece. 85% of AI start-ups will fail within 3 years. Link to article. That's what they have said. But what do we think. We use the internet everyday and may even be using one or two AI tools to help us become organized, productive and efficient. Hundreds of AI start-ups are spring up everywhere everyday - while some are jumping in without due diligence some, some are doing it for the money while some others what to make an impact. The AI startups boom is compared to the dot-com bubble where a lot of them failed. Some AI start-ups are: Open AI, Frame AI, Jasper, Drafter AI, Smartly.ai.
What do you think, are we experiencing an AI startup boom like the dot-com bubble? And do you think that 85% of them will fail within 3 years?
What do you think, are we experiencing an AI startup boom like the dot-com bubble? And do you think that 85% of them will fail within 3 years?
that's what they say "survival of the fittest" only startups that are financially strong and innovative can only survive to become the choice of the world's users. because to be honest, most of these new AI startups offer ideas and technologies that are not much different from one another, only a few really put innovation into their technology, the rest just follow the trend.
even the AI company developed by Google namely Bard seems to be mediocre and it won't be used by many people because what they offer is not much better compared to Open AI. especially AI companies from unknown developers, it seems that sooner or later they will close because they cannot attract the market's interest to use their services because they are not innovative and seem ordinary.
Yeah, it's likely we might see a huge percentage of AI startups failing within the first few years. Many are riding on the hype wave started by OpenAI, pitching crazy innovative ideas and concepts to attract investment. Investors are game too, hoping for a big payout if just at least one of the ventures ends up being successful. But every hype eventually comes to an end. Once the AI hype cools down, many of these startups may find themselves struggling. Some might survive. At least those that has some real use case. But yeah, it's kinda like the dot com bubble all over again like you said.
A project that can last up to 1 year should be able to continue to grow, a good project certainly has a clear concept and roadmap, the owner must be able to ensure that the roadmap can go according to plan, most projects fail because they don't know the direction and goals so they fail.
AI is becoming a trend so many companies are presenting AI, with so many companies, of course, the competition is very tight, this makes consumers choose AI development companies that already have a strong reputation and of course can easily find the cheapest prices.
It becomes an advantage for consumers in the midst of intense competition,technology is constantly evolving and this is how it's going to be,
AI is currently also being developed in stages and that is a good thing.
In any gold rush its the people who sell the shovels who are sure to make a profit more then those trying to make a fortune in their discoveries. So we have to figure who has retained the certainty of profits in this environment, many think Nvidia is top dog without question in the AI market. I heard Tesla as being stated one of the most advanced entities due to their use of AI for automated driving and similar navigation determination which they can resell etc. Neither company is cheap to own a part of and the risk is high of failure for all I think; hopefully society is the certain beneficiary of this new advance in technology vs work.
I believe workspaces and societies will both be beneficiaries of the technology like any other we have had in the past. History tells us that any invention that came into being was used for both commercial and residential necessities even if it was initially used more for commercial purposes. AI will probably have the same properties, there will be different models and versions that could be used in both places.If we talk about the failures of companies working mainly with AI, I believe there will be a lot of companies that won't get the necessary attention from the public and will surely either need to close down or change their products from AI to something else.
This is an opinion piece. 85% of AI start-ups will fail within 3 years. Link to article. That's what they have said. But what do we think. We use the internet everyday and may even be using one or two AI tools to help us become organized, productive and efficient. Hundreds of AI start-ups are spring up everywhere everyday - while some are jumping in without due diligence some, some are doing it for the money while some others what to make an impact. The AI startups boom is compared to the dot-com bubble where a lot of them failed. Some AI start-ups are: Open AI, Frame AI, Jasper, Drafter AI, Smartly.ai.
What do you think, are we experiencing an AI startup boom like the dot-com bubble? And do you think that 85% of them will fail within 3 years?
What do you think, are we experiencing an AI startup boom like the dot-com bubble? And do you think that 85% of them will fail within 3 years?
85% could even be optimistic, but it also depends on whether you mean fail or disappear. Some of them could also disappear because they most likely get bought out by the Internet giants if they have something unique to offer in the field of AI. Musk is often talking about what is coming and also mentioned Google and Larry Page and what they have already developed behind closed doors.
Google will be one of those giants leading the field, but even Meta or Tesla won't hesitate to buy out smaller AI businesses in case they see potential. It is a good bet these days to build a business around AI if there is a unique approach to a problem or a demand that people are themselves not yet aware of. Either you serve a demand or you evoke a demand, for instance like midjourney.com
That's what I think about the future industry of AI. I could see how a few big soak up many of the smaller companies and it is not like there is thousands of Ai businesses around the corner. A lot of that stuff will also work in a backend format and we only use it without actually understanding or even knowing what we are using. It will become an integral part of our lives seamlessly.
Many people think that AI is the future that will soon replace almost all human tasks or work, in some developed countries AI has succeeded in replacing humans and slowly AI expands for a lot of work, with these big prospects, of course, it certainly makes many people think that the AI project is It is very promising that it tries to make an AI project, unfortunately sponsorship or funding support is not enough to survive so many are bankrupt.
Every single AI out there depends on two things, the data you give it and the quality of the data itself, this means that even if we have hundreds of different AIs trying to achieve the same goal, the AI that is superior on those two aspects will also produce better results as well.And more importantly the difference in performance will not be small, so there will be almost no reason to use an underdeveloped AI when you can use the superior version and obtain better results, and this means that most of those AIs will disappear as they cannot compete with the AI at the top.
Also it is worth noting, just like what I previously mentioned here in the thread that even if devs would give limited data to an AI, self-learning AI is also a concern hence there are people that are even scared of robots getting self-aware.
AI is becoming a trend so many companies are presenting AI, with so many companies, of course, the competition is very tight, this makes consumers choose AI development companies that already have a strong reputation and of course can easily find the cheapest prices.
I don't know and have no predictions about the number of startups in this field but I think it will be big numbers, in fact, like many previous fields that have approached and developed them stages must demonstrate their potential and disseminate the values they and people interact with. About AI this is an area that is attracting the attention of a lot of people, because indeed its potential has been demonstrated through a number of products, I have the same thoughts as the internet when launching it as well received negative feedback and after all these years people have gradually become familiar with and appear everything in life, similarly AI will also need a lot of time to adapt as well as we can exploit and use it effectively it in the future.
Many people think that AI is the future that will soon replace almost all human tasks or work, in some developed countries AI has succeeded in replacing humans and slowly AI expands for a lot of work, with these big prospects, of course, it certainly makes many people think that the AI project is It is very promising that it tries to make an AI project, unfortunately sponsorship or funding support is not enough to survive so many are bankrupt.
Every single AI out there depends on two things, the data you give it and the quality of the data itself, this means that even if we have hundreds of different AIs trying to achieve the same goal, the AI that is superior on those two aspects will also produce better results as well.And more importantly the difference in performance will not be small, so there will be almost no reason to use an underdeveloped AI when you can use the superior version and obtain better results, and this means that most of those AIs will disappear as they cannot compete with the AI at the top.
Trend - when it's over, many will fall who are unable to provide what they have promised for and also lack of public reach. People have different agenda on everything in where they can make work, money or other things. Then if one thing goes viral or people sees potential in it, it becomes a trend. Everyone wants to have a piece of it. But in the end, only those survive which are the best.
It is not only in just AI platforms. Look around, and you will see this in every business section. That being said, I can agree that many start-ups AI platforms will fail, but to tell exactly how many or in how long in time is just a guess. But it is true that it will happen. It has happened in other section of everything and AI is not something exceptional from this.
Just look at Bitcoin and altcoin. Altcoins were created in order to tackle some problem that Bitcoin has. They created different Alts with different features. But not implementing everything in one. If they had done that, maybe it could have surpassed Bitcoin a long time ago. But Bitcoin is still at the top. So those start-up platforms will be the same. Trying to solve one thing and making a separate platform based on that instead of fixing what we already have.
It is not only in just AI platforms. Look around, and you will see this in every business section. That being said, I can agree that many start-ups AI platforms will fail, but to tell exactly how many or in how long in time is just a guess. But it is true that it will happen. It has happened in other section of everything and AI is not something exceptional from this.
Just look at Bitcoin and altcoin. Altcoins were created in order to tackle some problem that Bitcoin has. They created different Alts with different features. But not implementing everything in one. If they had done that, maybe it could have surpassed Bitcoin a long time ago. But Bitcoin is still at the top. So those start-up platforms will be the same. Trying to solve one thing and making a separate platform based on that instead of fixing what we already have.
I think the biggest obstacle for a project is finance, there are many projects that have good concepts but can't survive because they don't have capital, of course a project must be able to get regular income when the funds for the project start to run out, AI projects are something that is still new and still difficult to apply directly to traditional industries so that it will fail because it does not have consumers.
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