I miss boat for tech stock boom, can still get in?

[Scrooball (clone)]

I agree with the analysts who know what they're talking about and the forecast is $3000 per share within the next 4 to 5 years.

I better archive this. We will either have a good laugh or one of us will cry.

 

[k1976]

Hummm...this is the reality

 

[Hightech88]

Now i got schadenfreude. Hope the stock market crash and burn everybody

Tesla boat with 40x gains pre split has sailed long ago since Aug 2020.

Now due to intense EV competition esp from China, it's a goner.

 

[Eisenhut]

Hummm...this is the realityView attachment 201455

Such a good illustration, the americans really can hype it up

 

[Leongsam]

Tesla boat with 40x gains pre split has sailed long ago since Aug 2020.

Now due to intense EV competition esp from China, it's a goner.

Tesla is not an EV company. Cars are just one of its many products.

 

[syed putra]

Buy Tesla.

Car or stock?

 

[Hightech88]

Tesla is not an EV company. Cars are just one of its many products.

That's what Tesla has been trying to say since decades ago but truth is...

81% of Tesla revenue still comes from EV sales in 2023. Although Tesla wants to shift the revenue towards AI products, it is still uncharted territory and pure CSB.

Elon Musk is no Iron Man which only exist in the movies.

From Meta AI:

Tesla's expansion into AI products, such as its upcoming robotaxi service and autonomous driving technology, presents significant growth potential for the company. While predicting stock performance is inherently uncertain, here are some points that could support a potential rise in Tesla's stock price:

1. Growing demand for AI and autonomous technologies
2. Tesla's strong brand and market position
3. Potential revenue diversification beyond electric vehicles
4. Increasing investment in AI research and development
5. Regulatory approvals and partnerships for robotaxi services
6. Expanding software capabilities and subscription-based services
7. Enhanced autonomous driving features and updates
8. Potential for AI-powered data analytics and services

However, it's important to consider the following factors that might impact Tesla's stock performance:

1. Intense competition in the AI and autonomous driving markets
2. Regulatory challenges and potential legal hurdles
3. High development costs and investment requirements
4. Market volatility and economic uncertainty
5. Potential delays or setbacks in AI product development

Overall, while there are valid reasons to be optimistic about Tesla's AI plans, it's essential to maintain a balanced perspective and consider both the opportunities and challenges that lie ahead.
---‐-----------

 

[Leongsam]

That's what Tesla has been trying to say since decades ago but truth is...

81% of Tesla revenue still comes from EV sales in 2023. Although Tesla wants to shift the revenue towards AI products, it is still uncharted territory and pure CSB.

Elon Musk is no Iron Man which only exist in the movies.

From Meta AI:

Tesla's expansion into AI products, such as its upcoming robotaxi service and autonomous driving technology, presents significant growth potential for the company. While predicting stock performance is inherently uncertain, here are some points that could support a potential rise in Tesla's stock price:

1. Growing demand for AI and autonomous technologies
2. Tesla's strong brand and market position
3. Potential revenue diversification beyond electric vehicles
4. Increasing investment in AI research and development
5. Regulatory approvals and partnerships for robotaxi services
6. Expanding software capabilities and subscription-based services
7. Enhanced autonomous driving features and updates
8. Potential for AI-powered data analytics and services

However, it's important to consider the following factors that might impact Tesla's stock performance:

1. Intense competition in the AI and autonomous driving markets
2. Regulatory challenges and potential legal hurdles
3. High development costs and investment requirements
4. Market volatility and economic uncertainty
5. Potential delays or setbacks in AI product development

Overall, while there are valid reasons to be optimistic about Tesla's AI plans, it's essential to maintain a balanced perspective and consider both the opportunities and challenges that lie ahead.
---‐-----------

FSD is AI put to real practical use. I'm almost 100% certain it will be the norm in just a few years time and we'll be laughing at the way we used to have to drive our own cars. Humans are the most imperfect drivers on the face of this earth. Just watch the youtube car crash channels and it's blatantly obvious that AI will do a better job.

Tesla is way ahead simply because of its vast treasure trove of millions of miles of data upon which to train its models.

Of course there is always uncertainty but I think the source of this is political not technological.

 

[Leongsam]

Car or stock?

Both. The new Model 3 is a beautiful with much better quality compared to what came out of the Fremont factory 5 years ago.

 

[Eisenhut]

FSD is AI put to real practical use. I'm almost 100% certain it will be the norm in just a few years time and we'll be laughing at the way we used to have to drive our own cars. Humans are the most imperfect drivers on the face of this earth. Just watch the youtube car crash channels and it's blatantly obvious that AI will do a better job.

Tesla is way ahead simply because of its vast treasure trove of millions of miles of data upon which to train its models.

Of course there is always uncertainty but I think the source of this is political not technological.

Its the joy of driving. Next time might as well as automate sex and ask AI to inseminate wives and girlfriends

 

[Leongsam]

Its the joy of driving. Next time might as well as automate sex and ask AI to inseminate wives and girlfriends

I'm sure there will be a manual override if you want to drive yourself. Or perhaps AI will simulate the joy of driving in a virtual world where humans can't cause so much carnage.

 

[k1976]

​

https://www.datacenterdynamics.com/...y-upgrades-with-little-to-show-for-it-so-far/​

Goldman Sachs: $1tn to be spent on AI data centers, chips, and utility upgrades, with "little to show for it so far"​

Generative AI has mostly just generated more costs
July 09, 2024 By Sebastian Moss Charlotte Trueman Have your say
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A research newsletter from Goldman Sachs has warned that large tech companies have ramped up capital expenditure to fuel generative AI development, but have yet to show sustainable business models.

The investment banking firm estimates that around $1 trillion will be spent over the next few years on data centers, semiconductors, grid upgrades, and other AI infrastructure.

 

[k1976]

https://uk.finance.yahoo.com/news/g...MyWGX2tWUAS-BL-Wie4LsFnkvyxf8HO9v_9R0fuTpBt2H

Goldman Sachs: Tony Blair is wrong on AI – it’s not going to save the UK economy​

Elliot Gulliver-Needham
Tue 9 July 2024 at 9:00 pm GMT+8·3-min read
In this article:

• GS
  +2.86%
  
  

Companies are only expected to "garner incremental revenue" from AI said Goldman Sachs.

Goldman Sachs, once a strong backer of artificial intelligence (AI), has hit back against the technology championed by the market and many in government, instead stating that AI is not expected to provide meaningful productivity boosts to the economy.

Today, the Tony Blair Institute produced a report urging the new Labour government to harness the “truly revolutionary” potential of AI to help boost growth and productivity in the public sector.

However, the report has already been criticised for basing its argument that AI can bring huge time savings to a wide variety of tasks across the public sector, simply by asking Chat GPT which tasks can be automated.

Now, Goldman Sachs has published a paper stating that AI’s productivity benefits and returns are likely to be significantly more limited than anticipated, while its power demands will be so great that utility companies will have to spend almost 40 per cent more in the next three years to keep up with demand.

MIT economist Daron Acemoglu, who was interviewed for the paper, said that “truly transformative changes won’t happen quickly and few – if any – will likely occur within the next 10 years”.

 

[k1976]

Why?​

Well, the ability for AI to replace humans seems to have been greatly over-exaggerated, with Acemoglu stating that many of these tasks “are multi-faceted and require real-world interaction, which AI won’t be able to materially improve anytime soon”.


Key to understanding this is that large language models, like ChatGPT, are not the same as artificial general intelligence, and likely are not capable of reaching the kind of reasoning and understanding needed for it to do more than generate text back at you like they currently do.

As companies increasingly spend more and more on processing power, Acemoglu questioned “what does it mean to double AI’s capabilities?” as it is unclear if that will actually be able to make it better at certain tasks. While the AI might be quicker, will it be two times ‘better’?

Along with processing capabilities, power usage is perhaps the key limiting factor of AI, which so far companies like Google and Microsoft are struggling to address.

Jim Covello, head of global equity research at Goldman Sachs, stated that the total cost being pumped into AI over the next several years, such as in data centres and utilities, will cost a trillion dollars.

He then asks: “What trillion dollar problem will AI solve?”

While some have argued that technology often starts off as expensive and should get cheaper over time, Covello described this as “revisionist history”, and said “the tech world is too complacent in the assumption that AI costs will decline substantially over time.”

He compares the technology to the internet, stating that “even in its infancy, the internet was a low-cost technology solution that enabled e-commerce to replace costly incumbent solutions”.

“AI technology is exceptionally expensive, and to justify those costs, the technology must be able to solve complex problems, which it isn’t designed to do,” he added.

In the meantime, massive tech companies will only “garner incremental revenue” from AI, Covello said, with the more time passive without significant productivity gains, the more challenging “the AI story will become”.

“Investor enthusiasm may begin to fade”, Covello concluded, if “important use cases don’t start to become more apparent in the next 12-18 months.”

 

[eatshitndie]

Tesla boat with 40x gains pre split has sailed long ago since Aug 2020.

Now due to intense EV competition esp from China, it's a goner.

it’s making tons of money with home remodeling of solar roofs, electric charging, and battery backup. boomers with homes in america have money.

 

[k1976]

Leveraged Tech Bets Get Crushed After Drawing in $2 Billion​

• Buying the dip backfires on investors as slide deepens
• SOXL sees record weekly inflow, down 37% in past 14 days

By Denitsa Tsekova and Isabelle Lee
July 25, 2024 at 5:41 AM GMT+8
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Buying the dip has been a winning strategy during the recent epic AI-fueled rally in technology shares. It’s backfiring now — and is especially excruciating for those who used amped-up wagers to amplify returns.

A batch of tech-centered leveraged exchanged-traded funds — designed to generate double or triple the daily move of underlying securities — are scoring double-digit losses after a market rout hammered stocks tied to the frenzy in artificial intelligence.

The Nasdaq 100 tumbled 3.7% Wednesday and scored its worst day since October 2022, extending declines that started last week.
https://www.bloomberg.com/tips/

 

[k1976]

$1 Trillion Rout Hits Nasdaq 100 Over AI Jitters in Worst Day Since 2022​

• Nvidia, Microsoft, Apple lead broader stock market declines
• Nasdaq 100 loses $1 trillion in market value in the selloff

Talk of a bubble in AI names was fanned by activity in derivatives markets that acted as rocket fuel during the rally.
Photographer: SeongJoon Cho/Bloomberg
By Jeran Wittenstein
July 25, 2024 at 4:22 AM GMT+8
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Investors soured on the promise of artificial intelligence Wednesday, sparking a $1 trillion rout in the Nasdaq 100 Index as questions swirled over just how long it will take for the substantial investments in the technology to pay off.

The Nasdaq indexes tumbled more than 3% for the worst days since October 2022. The list of laggards was a who’s-who of AI technology darlings, led by semiconductor companies such as Nvidia Corp., Broadcom Inc. and Arm Holdings Plc.
https://www.bloomberg.com/tips/

 

[k1976]

Nikkei Heads for Correction on Faltering AI Bets, BOJ Concerns​

• Gauge slumps about 10% from peak hit two weeks earlier
• Volatility jumps as flight from risk continues: SMBC Trust

By Hideyuki Sano
July 25, 2024 at 10:00 AM GMT+8
Updated on
July 25, 2024 at 10:44 AM GMT+8
Save

Japan’s Nikkei 225 Stock Average headed for a technical correction as an AI-driven rally in technology shares went into reverse and concerns grew that the Bank of Japan is poised to hike interest rates.

The Nikkei declined as much as 3.1% on Thursday, taking its drop to at least 10% from an all-time peak hit just two weeks ago. Renesas Electronics Corp. led the slump following disappointing earnings. The broader Topix slipped as much as 2.8%, with exporters including Hitachi Ltd. retreating.
https://www.bloomberg.com/tips/

 

[k1976]

China Unexpectedly Cuts One-Year Policy Rate by Most Since 2020​

By Bloomberg News
July 25, 2024 at 9:29 AM GMT+8
Updated on
July 25, 2024 at 10:24 AM GMT+8
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The People’s Bank of China unexpectedly lowered the rate on its one-year policy loans by the most since April 2020 days after cutting a key short-term rate, in a sign of greater support for the slowing economy.

The central bank lowered the rate of medium-term lending facility by 20 basis points to 2.3%, according to a statement Thursday, the first reduction in almost a year.

The cut followed the PBOC’s trim of the seven-day reserve repo rate by 10 basis points on Monday. The monetary authority has recently downplayed the MLF rate in favor of the short-term rate to guide markets in a way more similar to global peers.

 

[k1976]

Tech Rout Deepens in Asia as Morgan Stanley Says Take Profits​

• Asia leadership change typically occurs before Fed cut: Garner
• TSMC, SK Hynix, Tokyo Electron removed from Focus Lists

By Youkyung Lee
July 22, 2024 at 11:41 AM GMT+8
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Asian technology stocks were on track for their worst selloff since the early days of the pandemic after Morgan Stanley strategists recommended investors book profits from the artificial intelligence boom.

The renewed slump followed concerns that set in last week over the sustainability of the red-hot AI trade as well as a possible tightening of US restrictions on sales of tech to China.

The Bloomberg Asia Pacific Semiconductors Index fell as much as 3% Monday, poised for its worst four-day loss since March 2020.