The billionaire who called streaming before anyone believed it is calling AI the same way. 3 years from now, 2 types of companies will exist. Cuban already knows which one yours is.
I think the question everyone so far is Missing is. "By using this tools, I get so much more productive, when do I see a salary increase?" I believe the answer will be, "You are the one which will still have a Job, so be thankfull and shut Up!"
Company gets the whole share and I have to pay for premium access to an AI Tool.
This is the real issue. They want you to be afraid of AI like it will control us. They already control us. This difference is that AI is just a tool. The more you fear it, the more they benefit.
Now allowing yourself to use that tool to make yourself more independent. That is the way they don’t want to you to look.
From my Point of View as an european, it is not about fear. It is about the broken promise that increased worker productivity will be shared between company and employees. In the 70's, 80's and maybe 90's it worked fine and a family could be raised, Home built with one parent working. Since then from working class view it goes down. Some familys have Trouble now with both parents working and they life in a rent flat. Children are luxury for many, as we see on the plumbing birth Rates.
No wonder the young Generation is depressed and lacks a positive vision for there lifes if they feel that they are at a disadvantage.
100%. I see this in more of a historical lens. The printing press led to the Protestant revolution but not before it made the sale of indulgence rapacious.
Technology empowers the powerful before it levels them.
The hard part is that this gets political fast. Once you start measuring all the little things nobody owned, you also expose which vendors, teams, and processes were being subsidized by not looking too closely. That is probably why big companies will struggle more than small ones. The model may work fine, but the org may not want the mirror.
The crowd has also said why are you selling the Mavs, why aren’t you paying Jalen Brunson, why are you letting Tyson Chandler walk after a championship, why are you letting Steve Nash walk, and wow, this Clippers / Aspiration thing looks terrible (reporting which later won a Pulitzer)!
Cuban is obviously a very smart guy and makes some good points. However there are several points where he’s probably reaching:
1. If you think you need AI for what REEL CHEESE produced then I have swamp land in FL. Likely some not very complex program that automated something and recorded can do the job. This isn’t AI. Could AI write some code? Sure but you still need an engineer, testing, etc.
2. He’s on track about the data center. AI requires massive compute and yes chips and architectures are evolving, but the reality is there’s a need for a next generation of computing at a quantum scale to really reduce costs with scale. We aren’t there yet.
3. It’s not clear LLMs in current form are the answer. Yes they have scaled massively but they are running in scalability issues as well. This will be potentially costly for those entrenched. Can they refine/reengineer to LLM +/next ? Of course. Anytime this happens it could be the next guy that makes the breakthrough. Tech companies have a hard time abandoning their designs.
4. You need the next level of engineers to build, test, maintain, etc AI technology. They aren’t going away or being replaced.
Cuban's consistent thesis on AI democratizing access to expertise is directly relevant to what we're seeing in mid-market companies. The 50-500 person company that used to need a consultant for every major software decision now has access to tools that can do the analysis in hours. The catch is knowing which tools to trust for which decisions — and that evaluation layer is often still missing. His point about AI being the great equalizer only holds if buyers have good information about what they're actually buying. That's the gap that matters most right now.
Evaluation gaps show up at the institutional level too. WR Berkley, AIG, and Great American wrote absolute AI exclusions into their liability policies because they couldn't price what they were underwriting. If insurers can't evaluate the risk, a 200-person company definitely can't evaluate the tool. Trust layers are missing on both ends of the market.
The garbage in - garbage out model still works for AI. If you don't input the right data or the right query you still get get garbage. If you don'y know the right tools to trust, you get hallucinations, false figures, bad results. You have to have an inkling of what you might get in order to know if your answer isn't garbage. AI can crunch for you but it can't think for you.
Which means to me, at a society level, that given the arrogance and associated lack of common sense of so many, there will a lot of bad decisions made very quickly. We have always had bad decisions but I think we will have more because there will be unwarranted trust given to AI due to a lack of social intelligence. Something like that.
You obviously wrote this article with AI, but couldn’t even be bothered to fact-check it with AI:
You spouted nonsense before you even got past the headline (MARK CUBAN HAS BEEN RIGHT EVERY TIME THE CROWD SAID HE WAS WRONG):
1. The "Implosion" of the NFL (2014)
In 2014, Cuban famously predicted that the NFL was headed for a massive collapse within 10 years due to greed and content oversaturation, specifically criticizing the league's choice to expand broadcasting to Thursday nights. He used the phrase, "pigs get fat, hogs get slaughtered. And they're getting hoggy."
• What actually happened: The NFL's popularity, TV ratings, and media rights deals continued to grow at historic rates. In 2022, Cuban officially admitted he was completely wrong, acknowledging the league's dominant position in the American media landscape.
2. A Stock Market Crash Under Trump (2016)
Prior to the 2016 U.S. presidential election, Cuban predicted that a victory for Donald Trump would cause the stock market to "tank" and result in the "worst thing possible" for Wall Street.
• What actually happened: Following the election, the stock market did not crash; instead, it experienced a significant post-election rally, hitting multiple record highs over the subsequent years. Cuban quickly walked back his initial warning shortly after the election results were finalized.
3. The Death of Google Search (2014)
In 2014, Cuban claimed that traditional web search engines like Google were entering a phase of decline. He argued that the future of information discovery belonged to real-time social feeds like Twitter and Instagram, asserting that he personally performed ten social media searches for every one Google search.
• What actually happened: Google retained its undisputed dominance over global internet search, while social networks evolved into algorithmic entertainment feeds rather than serving as functional replacements for web indexing.
4. The Physical Breakdown of Steve Nash (2004)
Though more of a talent-evaluation projection than a macroeconomic forecast, Cuban made a critical predictive error regarding Dallas Mavericks star Steve Nash. When Nash hit free agency at age 30, Cuban and his staff projected that the point guard's body would soon break down due to his age and style of play. Trusting this timeline, Cuban chose not to match a lucrative long-term offer from the Phoenix Suns.
• What actually happened: Nash didn't break down; instead, he entered the absolute prime of his career, winning two consecutive NBA MVP awards in Phoenix and anchoring one of the most explosive offenses in basketball history. Cuban has frequently cited this as his biggest mistake as an NBA owner.
I think the question everyone so far is Missing is. "By using this tools, I get so much more productive, when do I see a salary increase?" I believe the answer will be, "You are the one which will still have a Job, so be thankfull and shut Up!"
Company gets the whole share and I have to pay for premium access to an AI Tool.
Depressing future if you ask me.
This is the real issue. They want you to be afraid of AI like it will control us. They already control us. This difference is that AI is just a tool. The more you fear it, the more they benefit.
Now allowing yourself to use that tool to make yourself more independent. That is the way they don’t want to you to look.
From my Point of View as an european, it is not about fear. It is about the broken promise that increased worker productivity will be shared between company and employees. In the 70's, 80's and maybe 90's it worked fine and a family could be raised, Home built with one parent working. Since then from working class view it goes down. Some familys have Trouble now with both parents working and they life in a rent flat. Children are luxury for many, as we see on the plumbing birth Rates.
No wonder the young Generation is depressed and lacks a positive vision for there lifes if they feel that they are at a disadvantage.
Just my 5 Cents.
100%. I see this in more of a historical lens. The printing press led to the Protestant revolution but not before it made the sale of indulgence rapacious.
Technology empowers the powerful before it levels them.
Cuban did not mention the drain AI is on our natural resources. It is unsustainable in its current form.
(He was very wrong about 2024, to be fair)
Was he wrong? The evidence that voting machines were straight up rigged is hard to explain away. He was right. It didn’t matter.
He was right,Trump did Lise, the Dems are just to weak to fight and prove it.
He is only right that it is making him and his billionaire buddies a lot of money!
Mark Cuban is a POS protecting the Epstein Class Yacht Money and doesn’t give a shit about anything else!
Exactly 👍
You behave like you are in one of those foreign bot farms trying to sow enmity and division in the United States.
This reads like something generated with AI.
Thanks. And don't forget about HDNet the first all HD network that everyone said was a waste of time !
True!! 😅
Billionaires time is coming
The hard part is that this gets political fast. Once you start measuring all the little things nobody owned, you also expose which vendors, teams, and processes were being subsidized by not looking too closely. That is probably why big companies will struggle more than small ones. The model may work fine, but the org may not want the mirror.
The crowd has also said why are you selling the Mavs, why aren’t you paying Jalen Brunson, why are you letting Tyson Chandler walk after a championship, why are you letting Steve Nash walk, and wow, this Clippers / Aspiration thing looks terrible (reporting which later won a Pulitzer)!
Probably the best defense of AI and good advice on how to use it. Cuban is a rare good olicharch
Have human technologies, starting with agriculture, improved our experience with the world? Answer silently to yourself.
I don’t love the way you write but the ideas are good
The writing gave me AI summary ick. Couldn’t finish the article.
Cuban is obviously a very smart guy and makes some good points. However there are several points where he’s probably reaching:
1. If you think you need AI for what REEL CHEESE produced then I have swamp land in FL. Likely some not very complex program that automated something and recorded can do the job. This isn’t AI. Could AI write some code? Sure but you still need an engineer, testing, etc.
2. He’s on track about the data center. AI requires massive compute and yes chips and architectures are evolving, but the reality is there’s a need for a next generation of computing at a quantum scale to really reduce costs with scale. We aren’t there yet.
3. It’s not clear LLMs in current form are the answer. Yes they have scaled massively but they are running in scalability issues as well. This will be potentially costly for those entrenched. Can they refine/reengineer to LLM +/next ? Of course. Anytime this happens it could be the next guy that makes the breakthrough. Tech companies have a hard time abandoning their designs.
4. You need the next level of engineers to build, test, maintain, etc AI technology. They aren’t going away or being replaced.
Cuban's consistent thesis on AI democratizing access to expertise is directly relevant to what we're seeing in mid-market companies. The 50-500 person company that used to need a consultant for every major software decision now has access to tools that can do the analysis in hours. The catch is knowing which tools to trust for which decisions — and that evaluation layer is often still missing. His point about AI being the great equalizer only holds if buyers have good information about what they're actually buying. That's the gap that matters most right now.
Evaluation gaps show up at the institutional level too. WR Berkley, AIG, and Great American wrote absolute AI exclusions into their liability policies because they couldn't price what they were underwriting. If insurers can't evaluate the risk, a 200-person company definitely can't evaluate the tool. Trust layers are missing on both ends of the market.
The garbage in - garbage out model still works for AI. If you don't input the right data or the right query you still get get garbage. If you don'y know the right tools to trust, you get hallucinations, false figures, bad results. You have to have an inkling of what you might get in order to know if your answer isn't garbage. AI can crunch for you but it can't think for you.
Which means to me, at a society level, that given the arrogance and associated lack of common sense of so many, there will a lot of bad decisions made very quickly. We have always had bad decisions but I think we will have more because there will be unwarranted trust given to AI due to a lack of social intelligence. Something like that.
FUCK ai !!! Burn down ev data center TODAY!!!
You obviously wrote this article with AI, but couldn’t even be bothered to fact-check it with AI:
You spouted nonsense before you even got past the headline (MARK CUBAN HAS BEEN RIGHT EVERY TIME THE CROWD SAID HE WAS WRONG):
1. The "Implosion" of the NFL (2014)
In 2014, Cuban famously predicted that the NFL was headed for a massive collapse within 10 years due to greed and content oversaturation, specifically criticizing the league's choice to expand broadcasting to Thursday nights. He used the phrase, "pigs get fat, hogs get slaughtered. And they're getting hoggy."
• What actually happened: The NFL's popularity, TV ratings, and media rights deals continued to grow at historic rates. In 2022, Cuban officially admitted he was completely wrong, acknowledging the league's dominant position in the American media landscape.
2. A Stock Market Crash Under Trump (2016)
Prior to the 2016 U.S. presidential election, Cuban predicted that a victory for Donald Trump would cause the stock market to "tank" and result in the "worst thing possible" for Wall Street.
• What actually happened: Following the election, the stock market did not crash; instead, it experienced a significant post-election rally, hitting multiple record highs over the subsequent years. Cuban quickly walked back his initial warning shortly after the election results were finalized.
3. The Death of Google Search (2014)
In 2014, Cuban claimed that traditional web search engines like Google were entering a phase of decline. He argued that the future of information discovery belonged to real-time social feeds like Twitter and Instagram, asserting that he personally performed ten social media searches for every one Google search.
• What actually happened: Google retained its undisputed dominance over global internet search, while social networks evolved into algorithmic entertainment feeds rather than serving as functional replacements for web indexing.
4. The Physical Breakdown of Steve Nash (2004)
Though more of a talent-evaluation projection than a macroeconomic forecast, Cuban made a critical predictive error regarding Dallas Mavericks star Steve Nash. When Nash hit free agency at age 30, Cuban and his staff projected that the point guard's body would soon break down due to his age and style of play. Trusting this timeline, Cuban chose not to match a lucrative long-term offer from the Phoenix Suns.
• What actually happened: Nash didn't break down; instead, he entered the absolute prime of his career, winning two consecutive NBA MVP awards in Phoenix and anchoring one of the most explosive offenses in basketball history. Cuban has frequently cited this as his biggest mistake as an NBA owner.
Half the time I use AI it delivers falsehoods. Who can rely on that?