AI Stock: Investing in Artificial Intelligence

Today, investors are wondering: Can artificial intelligence (AI) lead to new financial growth? AI is changing many industries, from healthcare to transportation. This change is making the investment world new and exciting.

Companies like NVIDIA, Meta, and Arista Networks are growing fast, by 52% to 194% in July 2024¹. This has caught the eye of investors looking for new trends.

Imagine using AI to improve your investment plans and get higher returns. Are you ready to find out how AI can change investing?

Key Takeaways

• Explore the diverse applications of AI in investment strategies, from algorithmic trading to sentiment analysis and portfolio optimization.
• Discover the leading AI-driven companies that are redefining the financial landscape, such as² Tesla, NVIDIA, and Microsoft.
• Understand the rise of AI-powered investment platforms and how they can provide personalized investment advice.
• Analyze the performance of AI stocks and ETFs, including³ Corebridge Financial, Trane Technologies, and Deckers Outdoors.
• Delve into the potential risks and opportunities of the AI boom, and evaluate whether it is a sustainable investment trend.

What is AI?

Artificial intelligence (AI) uses machines to act like humans⁴. It’s growing fast and could change many industries, like investing. AI’s main part is machine learning, where computers learn from data to think like humans.

Machine Learning and AI Forms

Other AI types include computer vision, natural language processing, and robotics⁴. These let machines see, understand, and talk to the world better. AI is now used in many areas, from predicting trends to giving personal advice.

Neural Networks and Robotics

Neural networks are AI that copy the human brain’s connections⁴. They help with speech recognition and understanding language. Robotics is also part of AI, making robots do tasks better and faster.

AI is changing how we use technology and solve problems⁴. As AI grows, knowing about its types and uses is key for investors.

Some AI stocks have done very well over the last year⁴. But, investing in AI stocks can be risky. It’s wise to keep such investments small, around 10% of your portfolio⁴. Spreading your investments and being careful is best in the fast-changing AI market.

“NVIDIA, involved in AI since 2012, is prominent in the development of software, chips, and AI-related services.”⁴

AI has huge potential, but there are worries about an AI bubble⁴. Stock prices might go up fast, but not always because of real business changes. Always do your homework and be careful when looking at AI stocks or funds.

Five Applications of AI in Investing

Artificial intelligence (AI) is changing the investing world. It brings new solutions that are making the financial industry better. AI uses various methods to improve investment strategies and make better decisions⁵.

Algorithmic trading is a key use of AI in investing. AI looks at huge amounts of data, finds market trends, and trades fast. This leads to smarter and more profitable choices⁵.

Sentiment analysis is another area where AI excels. AI looks at news and social media to understand what people think about the market. This gives investors insights into the market’s mood⁵.

AI is also changing portfolio optimization. It uses machine learning to balance risk and goals like income and growth. This makes portfolios more efficient and suited to each investor⁵.

In risk management, AI is key. It looks at past market data to spot and reduce risks. This helps investors make choices based on solid data⁵.

Generative AI technologies, like ChatGPT, are changing how investors get advice. These AI tools give personalized tips and insights. This makes investing easier and more suited to each person’s needs⁶.

The financial world is embracing AI, offering many chances for investors to use this powerful tech. AI is set to change trading and portfolio management, shaping the future of investing⁷.

“The rise of AI in investing is not just a trend, but a fundamental shift in the way we approach financial decision-making. By harnessing the power of machine learning and data analysis, we can unlock new levels of efficiency, insight, and personalization in the investment world.”

Algorithmic Trading with AI

The investing world has changed a lot with AI’s arrival. Algorithmic trading uses computers to make trades based on set rules and data analysis. This method is now common in financial markets⁸. AI algorithms have changed how investment choices are made. They move from old ways based on gut feelings to automated and data-driven methods⁸.

Advantages of Algorithmic Trading

AI in trading has brought many benefits⁸. Today’s AI algorithms use advanced technologies like machine learning, deep learning, and natural language processing⁸⁹. These technologies help in making trading more efficient and fast⁸.

¹⁰ AI trading uses machine learning and other advanced methods to analyze data and make trades¹⁰⁹. It also includes data mining and real-time analytics⁹¹⁰. There are different types of AI trading, like quantitative and high-frequency trading¹⁰.

¹⁰ Traders using algorithmic trading have become 10% more productive¹⁰. AI trading automates data collection and helps in managing risks¹⁰⁹. It’s important to have good risk assessment models for AI trading⁹.

¹⁰ AI trading helps investors avoid making decisions based on feelings. It also helps in keeping a steady approach¹⁰. Traditional firms can save money by using AI trading technology¹⁰.

Even with the big advantages of AI-powered algorithmic trading, there are downsides¹⁰. Some issues include less transparency and relying too much on past data for predictions¹⁰⁸⁹.

Sentiment Analysis Using AI

In investing, knowing how people feel about the market is key to predicting stock prices. Sentiment analysis with AI helps traders and investors understand these feelings. This tool is a big deal for making smart choices.

AI looks at lots of data from news and social media to figure out how people feel about stocks and markets. Stock market sentiment can be either “risk-on” or “risk-off”. These feelings can really affect stock prices. Sector-level sentiment is also important, driving growth in areas like electric vehicles and AI stocks¹¹.

StockGeist tracks sentiment for over 2,200 companies, offering real-time updates from social media and news¹¹. It labels news articles and sorts social media messages, showing how people feel¹¹.

AI for market sentiment analysis has many benefits. It spots trends early, helping traders stay ahead¹². It also keeps an eye on news and social media, giving traders an edge in fast-changing markets¹².

But, using AI for market sentiment analysis has its downsides. It’s important to use these tools responsibly to avoid market manipulation and keep the financial markets honest¹².

Recent studies show AI-driven sentiment analysis can really pay off in the stock market. A study looked at 67,586 headlines and found investing with AI sentiment analysis could have made more money¹³. Selling when the news was bad worked better than buying when it was good¹³.

The use of sentiment analysis with AI is getting more common in investing. By understanding market sentiment with AI, investors can make smarter choices and possibly beat the competition in the fast-changing financial world.

Portfolio Optimization with AI

The investing world is changing fast, with AI at the forefront of portfolio optimization¹⁴. AI is changing how we manage portfolios, moving from a human-focused to a data-driven approach¹⁴. It can quickly process huge amounts of data, helping investors make better and more flexible investment plans¹⁴.

AI Portfolio Management

AI is making a big impact on portfolio management by improving market analysis in real-time¹⁴. It helps manage risks, optimize portfolios, and perform various management tasks¹⁴. Tools like LeewayHertz’s generative AI platform are changing how we manage portfolios, offering benefits like dynamic hedging and tax optimization¹⁴.

AI uses data to guide investment choices, providing insights on market trends and sentiment¹⁴. It helps in better asset allocation, diversification, and monitoring portfolios, leading to better performance¹⁴. Using AI in portfolio management involves several components, including data sources and APIs, to gather and analyze data for better decisions¹⁴.

Studies show that AI tools like ChatGPT can be a valuable tool for managing portfolios¹⁵. A study showed how ChatGPT can pick stocks and compare different portfolio strategies, including those from AI and traditional methods¹⁵. The study found that combining ChatGPT with traditional methods led to better results, suggesting a hybrid approach for investment decisions¹⁵.

Starting with AI-based portfolio management software can be expensive, but it can save money in the long run¹⁶. These solutions can customize investment strategies, handle large portfolios, and work with existing systems¹⁶. AI automates routine tasks and analyzes new information, reducing risks and improving strategic decisions, making investments more efficient¹⁶.

Adding AI to portfolio management is a big change, giving investors data-driven insights and personalized strategies¹⁴¹⁵¹⁶. As AI continues to evolve, the future of portfolio optimization looks set to be smarter, more adaptable, and efficient¹⁴¹⁵¹⁶.

AI for Risk Management

Artificial intelligence (AI) is changing how we handle risks in finance. It gives financial experts and money managers tools to deal with today’s complex markets. AI can look at huge amounts of data, helping spot risks and find ways to lessen them¹⁷.

Hedge funds and traders use AI to stay ahead in quick markets. They use machine learning to watch trade times, manage orders, and cut down on emotional trading¹⁷. Stock screeners use AI too, filtering stocks by things like financial ratios and market size¹⁷.

AI is also changing portfolio management. Tools like Wealthfront and Betterment use AI to make investment plans that match your goals and how much risk you can take¹⁷. These systems pick the best stocks and assets to increase returns while lowering risk¹⁷.

AI’s role goes beyond just investment advice. Banks that use data and AI to get ready for risks have a 27% higher market value than those that don’t, as of 2020¹⁸. This shows how AI can give a competitive edge in handling financial risks.

AI is also helping lessen the effects of unexpected events, like the COVID-19 pandemic. The pandemic hit 45.3% of companies’ payrolls and cut hours, benefits, or pay for 39.2% of companies in 2020¹⁸. AI can analyze big data to spot patterns, helping companies prepare for such events and reduce their financial hit.

AI is also a big help in fighting fraud. The retail banking sector loses about 5% of its revenue each year to fraud, says the Association of Certified Fraud Examiners¹⁸. AI systems can check transactions in real-time, catching fraud before it causes big problems.

The financial world sees AI as key to managing risks, with 83% of financial firms seeing it as crucial for their future, especially for fighting fraud¹⁸.

As AI use in risk management grows, its benefits are clear. AI can predict market trends with good accuracy and monitor markets in real-time for quick responses¹⁹. It also looks at more variables and complex relationships, improving risk modeling and forecasting¹⁹.

The future of risk management is all about combining AI technology smoothly. AI can make trades at incredible speeds and volumes¹⁹, and tailor to your risk tolerance and investment goals¹⁹. As the finance world keeps adopting this tech, AI’s potential to change risk management is huge¹⁷¹⁸¹⁹.

Personalized Investment Advice from AI

AI is changing the investing world, giving investors personalized advice and new trading tools. Magnifi is an AI-powered platform that uses ChatGPT and other AI to offer real-time investment advice²⁰. It acts like a chatbot, answering questions and giving advice, similar to a human financial advisor.

As AI grows in finance, we’ll see more AI-powered investment platforms. They will meet the growing need for advice that fits each investor’s goals²⁰. New in generative AI, these platforms can look at your financial goals and risk level to give you a custom strategy.

AI-Powered Trading Platforms

AI’s impact on trading is clear²⁰. Algorithmic trading uses AI to quickly analyze data and make trades, often beating human traders²⁰. AI also changes how we see market trends with sentiment analysis²⁰. It helps fund managers diversify and manage risk better, leading to better investment results²⁰.

As AI changes investing, we’ll see more trading platforms use AI tools to improve investing²⁰. AI chatbots, personalized advice, and advanced analysis will help investors make smarter choices and possibly get better results.

“Investing is no longer solely about crunching numbers and making rational decisions. With the rise of AI, it’s becoming a deeply personalized experience, where investors can tap into the power of artificial intelligence to guide their financial journeys.”

AI in investing has many benefits, but it’s not a full replacement for human advisors²¹. AI uses general info to give advice, unlike human advisors who know your financial situation and goals well²¹. Using both AI and human advice is often the best way to handle today’s investing challenges²⁰²²²¹.

AI Stocks: The Best Performers

The AI industry is growing fast, and investors are keeping an eye on the top AI stocks. These companies lead in AI innovation, creating new technologies that change many sectors²³.

NVIDIA Corporation (NVDA) is a leader in AI. It makes powerful GPUs crucial for AI apps. Its stock has jumped over 150% this year, making it the top S&P 500 stock²⁴.

Procept BioRobotics (PRCT) is another big name in AI, focusing on medical robotics. Its stock has soared, with a return over 200% this year²³.

AeroVironment (AVAV) is a leader in automated aircraft. Its innovative drone and UAV solutions have pushed its stock up over 150% this year²³.

Big names like Microsoft, Alphabet, and Apple also benefit from AI growth. But the top AI stocks often belong to lesser-known companies with specialized AI solutions²³. It’s important for investors to look into these companies carefully before investing²³.

Nvidia and AI Infrastructure

NVIDIA is a giant in AI. Its GPUs are key for many AI applications, from machine learning to deep learning. Its stock has risen 150% in the past year, the best among the S&P 490 components²⁴.

Other AI companies like Super Micro are also making big moves. It’s the top performer in the S&P, with a 188% return this year²⁴. These companies are vital for the growing AI demand in various industries.

“While tech giants like Microsoft, Alphabet, and Apple have also benefited from the growth of AI, the best-performing AI stocks are often lesser-known companies that are developing specialized AI-powered solutions.”

As AI keeps evolving, investors should watch these innovative companies closely. They offer great growth potential in this fast-growing market²³²⁴²⁵.

ai stock

Technology is changing fast, and artificial intelligence (AI) is leading the charge. It’s changing many industries. Investors see the potential in AI, making “AI stocks” popular. These are shares in companies that use AI to solve problems.

What are AI Stocks?

AI stocks are shares from companies leading in AI tech. They include big tech giants and smaller, innovative firms²⁶. These companies are shaping the future with AI.

There are many ways AI is used, like in voice recognition and self-driving cars. This variety means investors have many options. Big companies offer stability, while smaller ones could grow faster²⁷.

Investing in AI stocks means knowing the tech and the market. It’s important to keep up with changes for the best returns²⁸.

“The future of AI is incredibly bright, and we’re just scratching the surface of what’s possible. Investing in the right AI stocks today could unlock incredible value for savvy investors.”

Whether you’re experienced or new, AI stocks could be a smart choice. By learning about this field, you can make the most of the AI boom²⁶.

Investing in AI Stocks

If you’re looking to add artificial intelligence (AI) to your investments, you have a few choices. You can pick AI stocks directly, which might bring big gains but also carry more risk and need more research²⁹. Or, you can go for AI-themed exchange-traded funds (ETFs) for a broader and more varied investment³⁰.

Remember, AI technology is still growing, and some companies might be overvalued or struggle to make money from their AI. Always do your homework and keep your AI stock investments small compared to your whole portfolio²⁹.

1. Look at the company’s AI tech quality, its finances, partnerships, and market trends when picking AI stocks³¹.
2. Spread your investments across different AI areas and regions to reduce risk and increase chances for big wins³¹.

Investing in AI stocks lets you tap into a fast-growing and changing tech field. But, it also has its risks. By getting to know the market, researching companies, and diversifying, you can aim for the AI sector’s long-term growth potential²⁹³⁰³¹.

Investing in AI stocks is complex and ever-changing. But, by grasping the risks and chances, you can set your portfolio up for growth in this evolving tech²⁹³⁰³¹.

AI ETFs for Broad Exposure

For those looking to invest in the AI industry, ETFs are a great choice. They let you invest in a mix of companies that work on AI. These funds track indexes focused on AI, making it easy to get into this growing tech sector.

Finding the Best AI ETFs

Choosing the right AI ETF means looking at its stocks, costs, trading volume, and past performance. Some focus on just AI companies, while others include tech stocks that use AI. For example, the Vanguard Information Technology ETF (VGT) has a low cost and has done well this year³².

Other ETFs, like the Fidelity MSCI Information Technology Index ETF (FTEC), also offer good returns at a low cost³². If you want a more focused approach, consider the SPDR S&P Kensho New Economies Composite ETF (KOMP)³². It has a slightly higher cost but has also done well.

For even more specific exposure, look at the iShares Robotics and Artificial Intelligence ETF (IRBO) or the First Trust Nasdaq Artificial Intelligence and Robotics ETF (ROBT)³². They focus on robotics and AI, but come with slightly higher costs.

³³The Global X Robotics & Artificial Intelligence ETF (BOTZ) and the ROBO Global Robotics and Automation Index ETF (ROBO) are also worth considering³³. They manage a lot of money and have reasonable costs.

³⁴Other top AI ETFs include the Global X Artificial Intelligence & Technology ETF (AIQ) and the WisdomTree Artificial Intelligence and Innovation Fund (WTAI)³⁴. They offer good returns at reasonable costs. The Roundhill Generative AI & Technology ETF (CHAT) also stands out with strong returns³⁴.

When picking an AI ETF, think about its strategy, what it holds, its costs, and its past performance. This will help you find one that matches your investment goals and how much risk you can take. Remember, AI ETFs have different costs and returns, so do your homework before investing.

Is the AI Boom a Bubble?

Some investors wonder if the fast rise in AI stock prices signals an AI bubble, like the dot-com bubble of the late 1990s³⁵. A few AI companies have seen their stocks jump after AI news. But, the data shows the AI industry isn’t in a bubble overall.

Today’s top AI companies, like Nvidia, have lower price-to-earnings ratios than the dot-com giants³⁵. Nvidia’s earnings jumped 126% to about $61 billion last year, and its net income nearly doubled to about $30 billion³⁵. Its stock price has also soared six-fold since 2022, making its market value around $2.2 trillion³⁵.

The AI sector is led by big, profitable companies like Microsoft and Alphabet, which are key parts of the US stock market’s value³⁵. While some AI stocks might be overvalued, the industry itself doesn’t seem to be in a bubble. The top companies are making good money³⁵.

Still, investors should be careful not to get swept up in the AI hype³⁶. The US stock market’s focus on AI is a risk, and the AI bubble could lead to big gains for US stocks in the next 18 months³⁶. But, when the bubble bursts, US stocks might drop back to global levels. The end of the AI bubble won’t likely have a lasting effect on the US economy³⁶.

In summary, while some AI stocks might be overvalued, the AI industry doesn’t seem to be in a bubble overall³⁵. Investors should still be cautious and check their AI investments closely to avoid the hype³⁵.

“The AI bubble is expected to lead to disproportionate benefits to the U.S. stock market in the next 18 months.”

AI Stocks: A Global Phenomenon

The US leads in AI innovation, but investors shouldn’t ignore global advancements. China is a key player, with Baidu’s AI chatbot reaching 100 million users³⁷. India’s large population and mobile use also offer big AI investment chances.

Other regions are becoming AI innovation centers too. South Korea, Japan, and Singapore are pushing AI research. Europe, with countries like Germany, France, and the Netherlands, has leading AI companies³⁸. Governments are also getting into AI, which could bring new rules and more competition.

AI Leaders Around the World

The AI scene is changing fast, with new innovations across the globe³⁷. Companies like Intel, TSMC, and Samsung are leading in making AI chips³⁷. TSMC quickly makes the latest AI chips, and Intel is updating its tech to keep up.

Many companies are using AI to innovate and stay ahead³⁷. Meta Platforms, Inc. has seen its stock jump 129% in a year thanks to AI investments³⁷. Cognition Labs, a startup, is valued at $2 billion for its AI coding tool, showing the global demand for AI solutions.

Investors should look beyond traditional tech hubs for AI opportunities³⁷. NVIDIA’s stock has jumped 518% since 2022, showing AI’s huge potential³⁸. Investing in global AI markets can be risky but offers big rewards for those who succeed.

“The global AI market is no longer a one-horse race. Investors who can identify and capitalize on the AI leaders across different regions will be well-positioned to reap the benefits of this transformative technology.”

The AI revolution is changing industries and economies worldwide. This offers many chances for investors to get involved. By focusing on AI leaders from various regions, investors can grow their portfolios and see long-term gains³⁷³⁸³⁹.

AI 1.0 and AI 2.0

The world of artificial intelligence (AI) is changing fast, with two main phases: AI 1.0 and AI 2.0⁴⁰. AI 1.0 is the basic setup that helps advanced AI work. AI 2.0 is the next level, focusing on humanoid robots⁴⁰.

AI Infrastructure (AI 1.0)

AI 1.0 is key for making and using powerful AI models. It includes data centers, cloud platforms, and companies like Nvidia⁴⁰. These provide the power needed for AI to work well. As AI gets more complex, we need better and more efficient AI tools⁴⁰.

AI Adopters (AI 2.0)

AI 2.0 is about using AI in new ways, especially in humanoid robots. Elon Musk thinks AI 2.0 could make Tesla’s value soar to $25 trillion, offering a huge growth potential⁴⁰. Companies like Nvidia are leading this change with new tech like Project GROOT Foundation AI⁴⁰.

Tesla is also working on a humanoid robot named Optimus. It can do many tasks, like folding clothes and dancing⁴⁰. Musk sees a future where these robots help us with everyday tasks worldwide⁴⁰.

The move to AI 2.0, focusing on humanoid robots, marks a big step in AI tech⁴⁰. Big names like Jeff Bezos have invested in humanoid robot startups, showing they believe in this tech⁴⁰. Companies like Amazon and Nvidia are also putting a lot into it, showing its huge potential⁴⁰.

Experts think humanoid robots are the next big thing in AI, pointing to a big shift in how we invest in AI and its growth⁴⁰.

⁴¹

“Microsoft extended its partnership with OpenAI, a multi-billion pound investment targeting the development of super-computing capabilities in cloud services⁴². ChatGPT, an AI chatbot by OpenAI, acquired 100 million users within two months of its launch, indicating significant consumer engagement and adoption⁴². The UK government allocated over £50 million for AI research within universities, in addition to establishing an annual £1 million prize for outstanding AI research in Manchester⁴². Retail investors are increasingly considering AI as a lucrative investment opportunity, reflecting growing interest and potential in the sector⁴².”

As AI keeps evolving, the difference between AI 1.0 and AI 2.0 will matter more for investors looking to make the most of this changing tech⁴⁰⁴¹⁴².

Conclusion

The journey of AI is just starting, and we’ll see more chances come up in the next few years. Countries, companies, and startups will lead the way⁴³. Many AI companies are making money because more industries are using their technology. For example, NVIDIA makes a lot from AI chips⁴³. Alphabet shows how AI helps in advertising and cloud services, making them more profitable⁴³. Microsoft’s Azure AI is another example of how AI can be financially strong even when the market changes⁴³. Also, how people feel about the market and new tech can change AI stock prices. Companies like Tesla and Salesforce get a boost from using AI⁴³.

In the future, AI will change how we think, work, and solve problems. This will lead to new innovations and changes⁴⁴. Experts at PwC think AI could add $15.7 trillion to the global economy by 2030⁴⁴. For investors, mixing AI companies and adopters from different areas could be a smart move⁴³. But, investing in AI stocks needs careful risk checking, looking at rules and tech changes⁴³. What analysts say and how investors feel also affects AI stock chances and risks⁴³.

Adding AI stocks to a portfolio can make it more diverse because AI companies work in many sectors⁴³. You can pick between long-term and short-term investments based on your financial goals. It’s important to balance AI with other investments to lower risks and keep your finances healthy⁴³. The future of AI stocks is very promising. Investors who understand the challenges and grab the right chances could gain a lot from this new tech⁴³⁴⁴.

Source Links

1. 10 Best AI Stocks Of July 2024 – https://www.forbes.com/advisor/investing/best-ai-stocks/
2. How To Invest in AI in 2024 – https://www.investopedia.com/how-to-invest-in-ai-7504987
3. Can Stocks Picked by Artificial Intelligence Beat the Market? 3 Stocks to Watch – https://www.kiplinger.com/investing/stocks/604067/can-ai-beat-the-market-10-stocks-to-watch
4. 7 Best AI Stocks for July 2024 – NerdWallet – https://www.nerdwallet.com/article/investing/ai-stocks-invest-in-artificial-intelligence
5. How to Invest in AI’s Next Phase | J.P. Morgan – https://www.jpmorgan.com/insights/investing/investment-trends/how-to-invest-in-ais-next-phase
6. How AI is changing Finance: TOP-5 Cutting-Edge Applications – https://keymakr.com/blog/how-ai-is-changing-finance-top-5-cutting-edge-applications-and-their-advantages-disadvantages/
7. 8 Applications of AI & Machine Learning for Trading and Investing – https://blog.mlq.ai/applications-ai-machine-learning-trading-investing/
8. Council Post: AI In Financial Services: Transforming Stock Trading – https://www.forbes.com/sites/forbestechcouncil/2024/03/01/ai-in-financial-services-transforming-stock-trading/
9. AI Trading – What is AI Trading & How It’s Used In Stock Trading – https://www.nasdaq.com/articles/ai-trading-what-is-ai-trading-how-its-used-in-stock-trading
10. AI Trading: How AI Is Used in Stock Trading | Built In – https://builtin.com/artificial-intelligence/ai-trading-stock-market-tech
11. Stock Sentiment Features – StockGeist.ai – https://www.stockgeist.ai/stock-sentiment-features/
12. Sentiment Analysis: Uncovering Market Trends with AI – https://medium.com/@bluestock.in/sentiment-analysis-uncovering-market-trends-with-ai-4fde2e468533
13. ChatGPT Sentiment Analysis Significantly Outperforms Stock Market Average | PLANADVISER – https://www.planadviser.com/chatgpt-sentiment-analysis-significantly-outperforms-stock-market-average/
14. AI in portfolio management: Use cases, applications, benefits and development – https://www.leewayhertz.com/ai-for-portfolio-management/
15. Unleashing the Power of AI in Investment Portfolio Selection – https://www.ssctech.com/blog/unleashing-the-power-of-ai-in-investment-portfolio-selection
16. How to Develop AI-Based Portfolio Management Software? – Matellio Inc – https://www.matellio.com/blog/ai-based-portfolio-management-software/
17. How to Use Artificial Intelligence in Your Investing in 2024 – https://www.investopedia.com/how-to-use-artificial-intelligence-in-your-investing-7973810
18. How AI Can Accelerate Risk Management and Financial Analytics – https://www.ddn.com/blog/how-ai-can-accelerate-risk-management-and-financial-analytics/
19. How AI can be an effective tool in the realm of Risk Management | use case : Market Risk Management – https://www.linkedin.com/pulse/how-ai-can-effective-tool-realm-risk-management-use-case-gatala-tasae
20. 5 AI Applications in Investing | The Motley Fool – https://www.fool.com/investing/stock-market/market-sectors/information-technology/ai-stocks/ai-in-investing/
21. AI & The Stock Market: What Investors Need to Know – https://foolwealth.com/insights/ai-and-investing
22. Can AI Tools for Picking Stocks Help Investors Beat the Market? – https://money.com/ai-for-picking-stocks-beat-market/
23. Best AI stocks in 2024 for performance – https://www.usatoday.com/money/blueprint/investing/best-ai-stocks/
24. Nvidia And These Surprise AI Darlings Are 2024’s Best Stocks – https://www.forbes.com/sites/dereksaul/2024/07/04/nvidia-and-these-surprise-ai-darlings-are-2024s-best-stocks/
25. Best AI Stocks for July 2024 – https://www.investopedia.com/best-ai-stocks-8549813
26. Forget Nvidia: This Stock-Split AI Stock Could Be a Better Buy – https://finance.yahoo.com/news/forget-nvidia-stock-split-ai-104000226.html
27. 2 Artificial Intelligence (AI) Stocks Trading Under $30 That Can Supercharge Your Portfolio | The Motley Fool – https://www.fool.com/investing/2024/07/01/2-ai-stocks-trading-under-30-supercharge-portfolio/
28. Q3 2024 Stock Market Outlook: Is the AI Stock Trade Over? – https://www.morningstar.com/markets/q3-2024-stock-market-outlook-is-ai-stock-trade-over
29. 5 Historically Cheap Artificial Intelligence (AI) Stocks You Can Confidently Buy for the Second Half of 2024 (and Nvidia Isn’t 1 of Them!) | The Motley Fool – https://www.fool.com/investing/2024/07/04/5-historically-cheap-ai-stock-buy-second-half-2024/
30. Britannica Money – https://www.britannica.com/money/investing-in-ai-stocks
31. Best AI Stocks and Companies – Investing.com – https://www.investing.com/discover/ai-stocks
32. 7 Best AI ETFs To Buy Now – https://www.forbes.com/sites/investor-hub/article/best-ai-etfs-to-buy-now/
33. 4 of the Best AI ETFs for July 2024 | The Motley Fool – https://www.fool.com/investing/stock-market/market-sectors/information-technology/ai-stocks/ai-etfs/
34. Best AI ETFs in July 2024 – https://www.usatoday.com/money/blueprint/investing/best-ai-etfs/
35. The AI boom reminds this expert of the dot-com bubble — with one dangerous difference – https://www.businessinsider.com/ai-internet-dotcom-bubble-tech-stocks-nvidia-market-crash-gordon-2024-5
36. The AI ‘bubble’ has helped the U.S. stock market dominate the world. What happens if it bursts? – https://www.morningstar.com/news/marketwatch/20240617292/the-ai-bubble-has-helped-the-us-stock-market-dominate-the-world-what-happens-if-it-bursts
37. 10 AI Stocks That Will Skyrocket – https://finance.yahoo.com/news/10-ai-stocks-skyrocket-161524011.html
38. How to invest in AI’s next phase | J.P. Morgan Private Bank U.S. – https://privatebank.jpmorgan.com/nam/en/insights/markets-and-investing/ideas-and-insights/how-to-invest-in-ais-next-phase
39. AI Has ‘The Hallmarks Of An Inflating Bubble,’ Warns Veteran Wall Street Investor – https://markets.businessinsider.com/news/stocks/ai-has-the-hallmarks-of-an-inflating-bubble-warns-veteran-wall-street-investor-1033530279
40. AI Breakthroughs: The Next Big Thing to Bet On – https://investorplace.com/hypergrowthinvesting/2024/07/investing-in-the-next-wave-of-explosive-ai-growth/
41. The Cheapest AI Stocks to Buy Now – https://finance.yahoo.com/news/cheapest-ai-stocks-buy-now-214000651.html
42. Our Pick Of The Best Artificial Intelligence (AI) Stocks and Shares – https://www.forbes.com/uk/advisor/investing/best-artificial-intelligence-ai-stocks-shares/
43. Investment in AI Stock: Financial Implications and Insights – https://mactores.com/blog/investment-in-ai-stock-financial-implications-and-insights
44. 3 Leading Artificial Intelligence (AI) Stocks That Can Plunge Up to 91%, According to Select Wall Street Analysts | The Motley Fool – https://www.fool.com/investing/2024/07/06/3-ai-stocks-that-can-plunge-up-to-91-wall-street/