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• Three analysts have set price targets between $475 and $500 on Nvidia stock.
• Nvidia recently announced several partnerships to implement AI in various markets around the world.
• Nvidia expects its revenue to nearly double this quarter, driven by surging demand for AI chips.

The market might be wrong about Nvidia's future, but that doesn't mean the stock will keep rising in the near term.

Nvidia ($NVDA) stock is hovering in the stratosphere on the heels of a massive investment curve by companies of all sizes in artificial intelligence (AI) technology. Wall Street analysts are understandably boosting their estimates and raising their near-term price targets.
Bank of America analysts raised their price target to $500 for Nvidia, while analysts at Robert W. Baird and Wedbush are not far behind, with estimates ranging from $475 to $490. The consensus analyst estimate calls for Nvidia's revenue to increase by 58% for the current fiscal year, before slowing to 27% next year.
https://preview.redd.it/4nqgmldm564b1.png?width=609&format=png&auto=webp&s=89831aae86a1760b7ecff781129fadd1eef6df23
However, IDC projects spending on AI-centric computing systems to increase by 27% annually through 2026.
Nvidia has already been growing faster than that estimate. Are analysts underestimating the company's potential? And if so, what does that mean for Nvidia's soaring share price?

More opportunities unfolding

At the recent Computex conference, Nvidia just completed an impressive round of new announcements. The partnerships the graphics specialist unveiled demonstrate why Nvidia will remain the leader in AI chips and should continue to deliver the goods in terms of revenue growth.
One of the more important developments is a collaboration with Japan's SoftBank Group to build a new platform for generative AI and the next generation of wireless connection speeds, including 5G and 6G. Softbank plans to roll out Nvidia's new GH200 Grace Hopper Superchip to its AI data centers. This will pave the way for Japan to begin rolling out AI-based wireless applications for consumers.
Nvidia said Google Cloud (part of Alphabet), Meta Platforms, and Amazon are also adopting the DGX GH200 platform, which will be used as a "blueprint for future hyperscale generative AI infrastructure."
Nvidia's data center division is booming and seems to be entering another wave of accelerating growth. Segment revenue was up 14% year over year in the fiscal 2024 first quarter (ended April 30), but management guided for total revenue to nearly double in the current quarter, based on accelerating demand in the data center space.

$1 trillion worth of opportunity

When a company is experiencing accelerating growth in an evolving market like AI, it's tough to pinpoint exactly how big of an opportunity this is going to be. In these scenarios, it's more likely analysts will underestimate a company's growth potential than overestimate it.
There are similarities between Nvidia and Amazon at the start of e-commerce in the 1990s. Amazon experienced strong growth, and the stock soared to very expensive valuation levels. But even an investor who patiently endured the 2000 market crash would have been richly rewarded over the next two decades.
Investors should never underestimate a company that is on a strong growth trajectory, especially one that is serving multitrillion-dollar industries with mission-critical technology.
AI-generative applications, like OpenAI's ChatGPT, are only the tip of the iceberg. Nvidia CEO Jensen Huang described the AI opportunity as "the reinvention of computing." Based on figures he provided in the last earnings call, he's not overselling it by any stretch.
There is $1 trillion worth of data center infrastructure in the world right now. But nearly all of these data centers are still using central processing units (CPUs), which are not as powerful as the GPUs needed to run AI applications. Data centers will, indeed, have to reinvent themselves for the future of computing. That is a growth opportunity of epic proportions for Nvidia.
Still, smart investors shouldn't get caught up in the AI frenzy. Sound investing requires slowing down and thinking through the return potential based on the price the market is already asking.
With the stock trading at its highest price-to-sales ratio in history, investors should be asking how much of Nvidia's future growth from AI is already baked into the stock price.

Nvidia must meet high expectations to deliver returns

Wall Street analysts might be underestimating Nvidia's future growth, but I would be cautious about buying the stock at these highs, and not just because of the high valuation.
Investors also need to consider other risks that could cause the market to revalue Nvidia at a lower price-to-sales ratio. There are already questions being raised about the role of regulation in overseeing the use of AI, which could slow the growth and implementation of this technology. This could cause uncertainty and volatility for AI stocks.
Before buying Nvidia at these high prices, investors should consider less-expensive tech stocks, such as leading cloud service providers that stand to benefit from growing demand for AI services but trade at lower valuations.

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The Never-ending Price War
Before 2010, laser equipment was expensive, from laser marking machines to cutting machines, welding machines, and cleaning machines. The price war has been ongoing. Just when you think you've made a price concession, there's always a competitor offering a lower price. Nowadays, there are laser products with a profit margin of only a few hundred yuan, even for selling marking machines worth tens of thousands of yuan. Some laser products have reached the lowest possible price, but the competition in the industry seems to be increasing rather than decreasing.
Fiber lasers with a power of ten kilowatts were worth 2 million yuan 5 to 6 years ago, but now they have dropped by nearly 90%. The money that used to buy a 10-kilowatt laser cutting machine can now buy a 40-kilowatt machine with money to spare. The industrial laser industry has fallen into the "Moore's Law" trap. Although it seems like technology is advancing rapidly, many companies in this industry are feeling the pressure. The price war looms over many laser companies.
Chinese Laser Products Are Popular Overseas
The intense price war and the three-year pandemic have unexpectedly opened up opportunities for some Chinese companies in foreign trade. Compared to regions like Europe, America, and Japan where laser technology is mature, China's progress in laser products has been relatively slower. However, there are still many developing economies around the world, such as Brazil, Mexico, Turkey, Russia, India, and Southeast Asia, which have decent manufacturing industries but have yet to fully adopt industrial laser equipment and applications. This is where Chinese companies have found opportunities. Compared to the high-priced laser machine tools in Europe and America, Chinese equipment of the same type is cost-effective and highly welcomed in these countries and regions. Correspondingly, the TEYU S&A laser chillers are also selling well in these countries and regions.
Laser Technology is Facing a Bottleneck
One criterion for assessing whether an industry still has full vitality is to observe if there are continuous new technologies emerging in that industry. The electric vehicle battery industry has been in the spotlight in recent years, not only because of its large market capacity and extensive industrial chain but also due to the constant emergence of new technologies, such as lithium iron phosphate batteries, ternary batteries, and blade batteries, each with different technological routes and battery structures.
Although industrial lasers seem to have new technologies every year, with power levels increasing by 10,000 watts annually and the emergence of 300-watt infrared picosecond lasers, there may be future developments like 1,000-watt picosecond lasers and femtosecond lasers, as well as ultraviolet picosecond and femtosecond lasers. However, when we look at it overall, these advancements only represent incremental steps on the existing technological path, and we haven't seen the emergence of truly new technologies. Since fiber lasers brought revolutionary changes to industrial lasers, there have been few disruptive new technologies.
So, What Will the Next Generation of Lasers Be?
Currently, companies like TRUMPF dominate the field of disc lasers, and they have even introduced carbon monoxide lasers while maintaining a leading position in extreme ultraviolet lasers used in advanced lithography machines. However, most laser companies are facing significant obstacles and bottlenecks in promoting the emergence and development of new laser technologies, which forces them to focus on the continuous refinement of existing mature technologies and products.
Increasingly Hard to Replace Traditional Methods
The price war has led to a wave of technological iteration in laser equipment, and lasers have penetrated many industries, gradually phasing out older machines used in traditional processes. Nowadays, whether in light industries or heavy industries, many sectors have more or less adopted laser production lines, making it increasingly challenging to achieve further penetration. The capabilities of lasers are currently limited to material cutting, welding, and marking, while processes such as bending, stamping, complex structures, and overlapping assembly in industrial manufacturing have no direct connection to lasers.
Currently, some users are replacing low-power laser equipment with higher-power laser equipment, which is considered an internal iteration within the laser product range. Laser precision processing, which has gained popularity, is often confined to a few industries such as smartphones and display panels. In the recent 2 to 3 years, there has been some equipment demand driven by industries like electric vehicle batteries, agricultural machinery, and heavy industries. However, the scope for new application breakthroughs is still limited.
In terms of successful exploration of new products and applications, handheld laser welding has shown promise. With lower prices, tens of thousands of units are shipped each year, making it far more effective than arc welding. However, it should be noted that laser cleaning, which was popular a few years ago, did not see widespread adoption as dry ice cleaning, which costs only a few thousand yuan, eliminated the cost advantage of lasers. Similarly, plastic laser welding, which received much attention for a while, faced competition from ultrasound welding machines that cost a few thousand yuan but were functioning well despite their noise levels, hindering the development for plastic laser welding machines. While laser equipment can indeed replace many traditional processing methods, for various reasons, the possibility of substitution is becoming increasingly challenging.
TEYU Chiller’s Thoughts on the Current Laser Development
Source: https://www.teyuchiller.com/thoughts-on-the-current-laser-development

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If you're wondering why our courses are priced lower than the original prices and are feeling a bit suspicious (which is understandable), we can provide proof of the course's contents. We can provide a screenshot of the course's contents or send you a freebie, such as an introduction video or another video from the course, to prove that we do have the course. Should you wish to request proof, we kindly ask you to reach out to us.
Please be aware that our courses do not include community access. This is due to the fact that we do not have the authority to manage this feature. Despite our desire to incorporate this aspect, it is, unfortunately, unfeasible.
Explore affordable learning at Genkicourses.site 🎓! Dive into a world of quality courses handpicked just for you. Download, watch, and achieve more without breaking your budget.

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