️ Generative AI Weekly #18: AI stocks surge + using ChatGPT for SEO

Neural networks are AI algorithms that computers use to approach problem-solving like a human brain. ML is the ability for computers to adapt and update processes by analyzing data and statistics. Artificial intelligence or AI is the automation of processes and tasks that were previously done by humans. The Robo Global Yakov Livshits Artificial Intelligence ETF was launched in May 2020 to track the ROBO Global Artificial Intelligence Index – an AI-focused index that was created by Robo Global in 2013. Like the WisdomTree Artificial Intelligence UCITS ETF, this fund offers access to a wide range of companies that work with AI in some form.

Free trading refers to $0 commissions for Moomoo Financial Inc. self-directed individual cash or margin
brokerage accounts of U.S. residents that trade U.S. listed securities via mobile devices or Web. Since 2019, the tech giant has been making investments in OpenAI with an initial investment of $1 billion. Recently, Microsoft invested $3 billion in ChatGPT’s startup and is currently in talks to invest an additional $10 billion. Microsoft’s (MSFT) multi-billion multi-year investment in OpenAI, the creator of ChatGPT, is an attempt to capitalise on the alluring growth prospects in the generative AI market.

ServiceNow (NYSE:NOW)

Unfortunately, some market participants are evidently shortsighted and can’t tolerate pain today for gains later on. AI is good at trading stocks because it can quickly make decisions using tons of data. But remember, AI isn’t perfect and can’t always adapt to sudden changes in the market.

The popular Alphabet stocks belong to the dominating internet search engine. The company also declared an increasing revenue from its cloud services, despite competition. Since the platform uses a cloud-based stock trading bot platform this increases speed and reduces potential lag with trades that are time sensitive. Beyond chips, there is software infrastructure to support the huge volume of data that the A.I.

Tesla

For consumer e-commerce companies, generative AI could help personalize the buyer experience, as well as boost traffic, conversions, and operational efficiencies. Not only does Applied Materials use artificial intelligence in its manufacturing machines, Yakov Livshits but it also has a new optical inspection system that can identify mistakes and faults in chips much earlier than before. This saves both time and money, especially as chips become smaller and nearly impossible to check with a human eye.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

The intuitive interface connects you to different data vendors and supports Bitcoin, Ethereum, XRP, and many other coins. Users can easily scan a combination of over 100 price, volume, technical and fundamental variables, or for a more hands off approach you can simply choose a pre-built scan designed by the Scanz trading team. Near the top of the list is Stock Hero a multifaceted platform that offers a simulated paper exchange to enable you test your strategy in a risk- free manner. Once you are satisfied with the results you can easily deploy your bot into the real world. SignalStack is a fast, easy and simple way to convert any alert from any trading platform into an executed order in any brokerage account.

AI ETFs

AI companies are currently showing strong investment potential, but there are no guarantees, especially in the stock market. A number of companies are currently demonstrating investing in AI stocks can produce solid returns. Many continue to announce new developments and innovations and have seen a steady rise in company value as a result. Take Nvidia, which announced in May 2023 that it would be “boosting production of its AI chips to meet surging demand.” The Nvidia stock’s price continues to surge, as demonstrated in the figure below. Alphabet’s cutting-edge AI research, primarily through its acquisition of DeepMind, has led to advancements in computer vision, deep learning, image, and speech recognition.

We shortlisted the stocks by using Insider Monkey’s hedge fund data for the first quarter and then ranked them using their upside potential, mentioned on TipRanks as of July 11. Generative AI is an emerging AI technology based on deep learning models and algorithms that can generate text, images or sounds in response to prompts given by users. During the Q1 FY24 conference call, the company’s management said that its enterprise AI applications are gaining substantial traction. However, the company expects to deliver revenue in the range of $295 to $320 million in Fiscal 2024, reflecting a year-over-year growth of about 11-20%, which appears low given the stellar demand for AI.

generative ai stocks

The company was founded in 1993 to create graphics-based computer solutions, primarily in the growing video games market. Over the years, the firm has expanded the use of its graphics chips, using the technology to develop cutting-edge machine-learning APIs. The current craze for all AI stocks—triggered by Nvidia’s blockbuster report and forecast at the end of May—is not slowing down. I’m suspicious of any stock or sector that soars this far, that fast, but AI stocks enjoys some wider tailwinds. The U.S. Fed is likely to pause interest rates later this year, perhaps this summer. While investors are sitting on high levels of cash, the market is also putting money into tech as a safe haven—reliable earnings and growth.

• Once you are satisfied with the results you can easily deploy your bot into the real world.
• Compared with the 10-year median and range, the current price-to-earnings (P/E) ratio for the US technology sector is right at the top.
• In the same way, artificial intelligence is expected to transform software.