What Are the Best AI Companies to Invest in 2024? – Cryptocurrency News & Trading Tips – Crypto Blog by Changelly

Artificial Intelligence (AI) technology has been advancing rapidly in recent years. It is expected that its growth trajectory will continue in the foreseeable future. As an investor, have you considered adding AI stocks to your portfolio? With the potential to revolutionize various industries, AI presents a lucrative opportunity for those looking to make smart investment choices.

The global AI market is projected to reach a value of $190 billion by 2025, indicating the immense growth potential of this industry. Companies across sectors recognize the power of AI in enhancing efficiency, productivity, and innovation. As such, investing in AI stocks could prove to be a profitable decision in the long run.

If you’re seeking to capitalize on the AI revolution and want to position yourself for significant financial gains in the coming years, it is crucial to identify the best AI stocks to invest in. By selecting the right companies that are leading the way in AI research, development, and implementation, you can potentially ride the wave of this technological revolution. Here is a curated list of the top eleven AI stocks that show promising growth potential and can be excellent investment options for 2024.

How Do Companies Use Artificial Intelligence?

Artificial intelligence (AI) has become a cornerstone of efficiency, productivity, and innovation enhancements across various industries. By harnessing AI, companies are not only streamlining operations but also setting new benchmarks in customer service and strategic innovation.

In the tech industry, AI fuels the creation of robotics and virtual assistants, automating routine tasks, refining processes, and elevating customer service standards. These tools are pivotal in transforming user interactions and operational efficiencies.

Healthcare sector applications of AI include analyzing medical images, accelerating drug discovery, and offering tailored patient care, thereby revolutionizing diagnostics, treatment, and patient engagement.

The finance industry benefits from AI through enhanced fraud detection, nuanced risk assessment, and sophisticated algorithmic trading, contributing to safer, more efficient financial services.

In agriculture, AI-driven precision farming, crop monitoring, and yield prediction reshape farming practices, which leads to increased productivity and sustainability.

Across these sectors, AI’s power lies in its ability to process vast datasets, extract actionable insights, and support informed decision-making. Moreover, AI is paving the way for groundbreaking advancements through the development of autonomous systems, intelligent machinery, and predictive analytics.

As investment in AI gains momentum, the pivotal role of this technology in fostering efficient operations and pioneering innovations becomes increasingly evident. This transformative potential makes AI a key area of interest for investors seeking to capitalize on the future of technology.

Best AI Stocks to Buy in 2024

All in all, it’s no surprise that interest in AI investments is skyrocketing. Whether you’re considering direct investment in individual stocks or exploring ETFs and mutual funds focused on AI, the opportunities are vast and promising. As we navigate through 2024, identifying standout AI stocks becomes crucial for investors aiming to capitalize on this tech revolution. Below, we present our top picks for the best artificial intelligence stocks to buy in 2024, carefully selected for their innovative approaches, financial performance, and growth potential in the AI domain.

Adobe Inc. (ADBE)

Adobe Inc. is a renowned company that specializes in producing creative content software and other applications used for marketing and e-commerce purposes. One of the notable advancements by Adobe is its Firefly generative machine learning model, which has gained significant attention from customers across platforms like Photoshop and Illustrator. This innovative technology showcases Adobe’s commitment to leveraging artificial intelligence (AI) and machine learning to enhance user experiences with their products.

Adobe continues to leverage AI to enhance its creative and marketing software offerings, and these AI products—Adobe Sensei and Firefly—have contributed to the company’s revenue growth.

Recently, Adobe launched an AI assistant in their Reader and Acrobat applications, further showcasing their dedication to enhancing user experience through artificial intelligence. As the company continues to invest in new product extensions with a focus on generative AI, it is clear that they are staying ahead of the curve in terms of technological advancements. With a “buy” rating from Argus and a price target set at $675 for ADBE stock, investors see great potential in Adobe’s future growth as they continue to innovate in the realm of AI technology.

Overall, Adobe Inc. maintains a strong position in the market, driven by its innovative use of AI technology and consistent revenue growth. With its AI products and positive performance in Q4, the company is well-positioned for continued success in the future.

Taiwan Semiconductor Manufacturing Co. Ltd. (TSM)

Taiwan Semiconductor Manufacturing Co. Ltd. (TSM) is the world’s largest pure-play semiconductor foundry, specializing in advanced AI semiconductors and serving chipmakers like Nvidia. Despite slumping smartphone and laptop chip sales, TSM’s AI-related demand continues to strengthen, accounting for 6% of its total revenue.

The growth in AI demand is supported by factors such as the increasing adoption of AI technologies in various industries, the expansion of data centers and cloud computing, and the rise of new AI applications in areas such as autonomous vehicles and smart devices. TSM’s revenue from AI processor demand is estimated to be significant, reflecting the company’s position as a key player in the AI semiconductor market.

Overall, TSM’s focus on advanced AI semiconductors has positioned the company to capitalize on the growing demand for AI-related technologies and has contributed to its continued success in the semiconductor industry.

Amazon.com Inc. (AMZN)

Leading technology company Amazon.com Inc. (AMZN) has heavily integrated AI into its various business segments to enhance efficiency and customer experience. In e-commerce, AI is used for personalized product recommendations, demand forecasting, and inventory management. In AWS cloud services, AI is leveraged for machine learning, natural language processing, and computer vision applications. The personal assistant technology Alexa utilizes generative AI to understand and respond to natural language queries. In Amazon’s logistics operations, AI is employed for route optimization, warehouse automation, and predictive maintenance.

The integration of AI has given Amazon a significant competitive advantage by improving operational efficiency, reducing costs, and enhancing customer satisfaction. It has enabled the company to move into new business areas, such as healthcare, where AI is used for medical record analysis and virtual clinical assistance.

Key AI technologies and applications used by Amazon include generative AI for Alexa’s conversational abilities and Bedrock for building AI applications. Amazon Web Services also develops its own AI chips to power its hardware devices. Overall, Amazon’s strategic integration of AI across its business segments has solidified its position as a leader in e-commerce and cloud services while enabling expansion into new frontiers.

Nvidia Corp. (NVDA)

Nvidia Corp. (NVDA) has emerged as a leader in the high-end chipmaking industry, providing the necessary processing power for advanced artificial intelligence (AI) applications. This positioning has been instrumental in Nvidia’s incredible financial performance: NVDA became the best-performing stock in the S&P 500 in 2023. Despite new U.S. export restrictions on high-end chips, Nvidia managed to triple its revenue year over year in its fiscal third quarter, mainly due to the high demand for its graphics processing units (GPUs) in AI-related industries.

Nvidia Corp. (NVDA) currently holds a significant position in the market, with its stock witnessing a surge in value over the past few years. The company has experienced substantial revenue growth, largely fueled by the increasing demand for AI-related technologies. Nvidia’s AI technology has been widely adopted across various industries, including healthcare, finance, and autonomous vehicles.

One of Nvidia’s notable partnerships is with AstraZeneca, where the company’s AI capabilities are leveraged for drug analysis and development. This partnership is a testament to Nvidia’s strong foothold in the AI space and its potential to revolutionize the pharmaceutical industry.

However, there are concerns about Nvidia’s stock potentially being overvalued due to the hype surrounding its AI technology and partnerships. Investors are cautioned about the possibility of an overvaluation, especially as the market continues to place significant premiums on companies operating in the AI space.

ASML Holding NV (ASML)

ASML Holding NV (ASML) is a major producer of photolithography systems and extreme ultraviolet lithography equipment for advanced AI chips. The company’s cutting-edge technology is crucial for the manufacturing of semiconductors used in AI applications.

U.S. export controls have impacted ASML’s shipments to China, but the company anticipates continued strong demand in the region. Despite the restrictions, ASML’s products are essential for the production of advanced AI chips, and China is a key player in the AI technology boom.

ASML plays a vital role as a supplier to primary semiconductor companies like Intel Corp. and merchant foundries like Taiwan Semiconductor. This diversifies ASML’s exposure to the AI technology boom, as it provides critical equipment for companies that lead the development of AI chips.

UiPath (PATH)

UiPath, Inc. is transforming business operations with its software solutions, allowing employees to tackle both intricate and routine challenges more effectively. This capability has helped companies conserve time and resources, boosting productivity and profitability. Although UiPath has not yet turned a profit, its stock price has witnessed notable growth over the past year, signaling strong investor confidence in its future.

Rated “B” for financial health by Morningstar and highlighted as a fairly priced stock, UiPath is drawing attention in the realm of software stocks trading. Analysts are optimistic about its financial outlook, anticipating a shift to profitability by 2025 with an expected earnings per share (EPS) of 48 cents. This forecast underscores UiPath’s strong potential and promising future in the rapidly advancing tech landscape. Given its innovative software solutions and expected earnings growth, UiPath represents an attractive investment choice in the AI market.

International Business Machines Corp. (IBM)

IBM’s current AI initiatives include a focus on the development and deployment of Watson AI solutions, such as Watson Studio, and a commitment to an open-source approach to AI. These initiatives have had a significant impact on various industries, including healthcare, finance, law, and academia.

In healthcare, IBM’s AI solutions have been used to improve patient care through personalized treatment plans and early disease detection. In finance, AI technologies have been leveraged to analyze market trends and provide more accurate risk assessments. In the legal industry, IBM’s AI solutions have streamlined document analysis and improved legal research processes. In academia, IBM’s AI initiatives have supported research efforts in various fields through tools like Watson Studio, which provides a collaborative environment for data scientists and AI developers.

IBM’s open-source approach to AI has also facilitated collaboration and innovation across industries, driving the development of new AI applications and solutions. Overall, IBM’s AI initiatives have played a pivotal role in transforming the way various industries operate, offering improved efficiency, accuracy, and decision-making capabilities.

Microsoft Corp. (MSFT)

Microsoft Corp. (MSFT) has been strategically incorporating AI across its product portfolio, demonstrating its commitment to staying at the forefront of technological innovation. Notably, the company has made significant investments in OpenAI, aiming to leverage OpenAI’s state-of-the-art AI capabilities to enhance its own offerings. Furthermore, Microsoft’s integration of ChatGPT, developed by OpenAI, into its Bing search engine illustrates its ambition to provide more personalized and efficient search experiences for users.

CEO Satya Nadella has emphasized the potential of AI as ‘the next major computing platform.’ In healthcare, Microsoft is harnessing AI to advance patient care, medical research, and operational efficiency within healthcare organizations. Additionally, Microsoft’s Azure cloud platform has been enhanced with powerful AI capabilities, enabling businesses to develop and deploy AI-driven solutions to solve complex challenges.

Overall, Microsoft Corp. fully embraces AI as a core component of its strategy and demonstrates a clear focus on leveraging AI to drive innovation and deliver impactful solutions across a diverse range of industries.

Arista Networks (ANET)

Arista Networks (ANET) is a key player in the market for data center networking gear, with a focus on AI-driven solutions. The company’s innovative approach to networking has earned it key customer segments, including tech giants like Meta and Microsoft.

ANET has set an ambitious goal of achieving $750 million in AI networking revenue by 2025. One key aspect of their strategy is the focus on connecting GPUs to the internet, enabling more efficient and powerful AI-driven solutions.

However, ANET’s revenue in 2024 may be impacted by factors such as a moderation in enterprise spending and the potential for large-scale AI deployments in 2025. As a frontrunner in the data center networking market, Arista Networks is poised to continue revolutionizing the industry with its AI-driven offerings.

Snowflake (SNOW)

Snowflake Inc., headquartered in Bozeman, Montana, is a leading American company specializing in cloud computing-based data cloud services. The company plays a pivotal role in transforming business approaches to data collection and storage, the field crucial for AI model development. With an ability to efficiently manage increasing volumes of unstructured data, Snowflake enhances how companies develop AI models, boosting competitiveness in the digital era. It reported $738 million in product revenue in the fourth quarter of fiscal 2024, reflecting its strong position in cloud data warehousing. With a projected 22% increase in product revenue for FY 2025, Snowflake is set for further growth, underpinning its critical role in AI model data management and increasing adoption across various industries.Snowflake’s data cloud software is central to modern data management for AI, with its platform streamlining the collection, storage, and utilization of large data sets. Its robust performance, highlighted by a $738 million product revenue in the last fiscal quarter and a forecasted 22% growth, underscores its dominance and growing necessity in AI development. As industries increasingly rely on AI, Snowflake’s role is poised to expand, marking it as an indispensable tool in the tech landscape.

CrowdStrike (CRWD)

CrowdStrike (CRWD) has rapidly emerged as one of the largest cybersecurity solution providers, distinguished by its innovative use of AI and machine learning technology. The company’s growth has been remarkable in recent years, with its customer base expanding at an impressive rate. CrowdStrike’s use of advanced AI and machine learning algorithms has enabled it to offer cutting-edge protection against cyber threats, positioning the company at the forefront of the industry.

Notably, CrowdStrike’s strategic focus on leveraging AI and machine learning has not only allowed it to stay ahead of cyber threats but also resulted in increasing profitability. The company’s financial performance has been robust, reflecting its ability to deliver effective cybersecurity solutions that resonate with businesses and organizations across various sectors.

With a track record of rapid growth, a commitment to innovation through AI and machine learning, and a trajectory of increasing profitability, CrowdStrike (CRWD) stands out as a formidable player in the cybersecurity landscape. Its ability to adapt and evolve in response to the ever-changing cybersecurity landscape makes it a compelling choice for businesses looking to safeguard their digital assets.

How to Invest in AI Companies

Exploring the dynamic field of artificial intelligence (AI) offers investors the chance to engage with cutting-edge innovation and potentially secure substantial returns. Here’s a detailed guide on various avenues to invest in AI companies:

1. Buy Stocks of Publicly Traded AI Companies

For those inclined towards direct investment, purchasing stocks of publicly traded companies listed on major stock exchanges like the New York Stock Exchange (NYSE), Nasdaq, and the London Stock Exchange (LSE) is a viable option. Thorough research is essential, though. Evaluate each company’s financial health, the expertise of its management team, and its market position within the AI sector. Consider the company’s revenue growth, cash flow, and potential for future expansion as AI’s role in diverse industries grows.

2. Invest in AI-Focused Exchange-Traded Funds (ETFs)

Read also: Best crypto ETFs.

AI-focused ETFs, such as the Global X Robotics & Artificial Intelligence ETF (BOTZ) and the AI Powered Equity ETF (AIEQ), offer a way to diversify investment across a spectrum of companies spearheading AI and robotics. This diversified exposure helps mitigate risk by spreading it across various sectors within the AI industry. However, like any investment, ETFs have their risks, and thorough due diligence is recommended. Consulting with a financial advisor can be quite helpful, too.

3. Venture Capital (VC) Funds

For those with a higher risk appetite, investing in VC funds that target early-stage AI startups offers the potential for significant returns. Such investments usually demand a considerable minimum commitment and are characterized by a long-term horizon. While the opportunity to back groundbreaking AI technologies is appealing, the risks are substantial and include the potential loss of the entire investment if the startups do not succeed. It is advisable to conduct extensive due diligence and consult with financial professionals experienced in VC investments.

4. Crowdfunding Platforms

Crowdfunding platforms present an accessible route to invest in AI startups. Before committing funds, investors should:

• Research and select AI startups with strong growth potential that align with their investment objectives.
• Assess risks by examining the startup’s business model, leadership, market opportunity, and competitive position.
• Define investment goals and limits to ensure decisions fit within an overall financial strategy.
• Consider seeking advice from financial advisors for a professional perspective on potential investments.

Investing through crowdfunding platforms requires a cautious approach. One should be mindful of the inherent risks of early-stage investments while focusing on startups with the potential for success.

What Are the Best AI ETFs to Watch?

Investors seeking diversified exposure to the burgeoning field of artificial intelligence may find themselves interested in several exchange-traded funds (ETFs) that stand out for their focus on AI technologies and their growth potential. The Global X Robotics & Artificial Intelligence ETF (BOTZ) targets companies deeply involved in robotics and AI, such as those in industrial automation and autonomous vehicles. Similarly, the Robo Global Robotics and Automation Index ETF (ROBO) provides exposure to global innovators in robotics, automation, and AI, spanning multiple industries and regions. The iShares Robotics and Artificial Intelligence Multisector ETF (IRBO) expands this approach to include companies from both developed and emerging markets that are poised to benefit from advancements in AI and robotics.

For a more targeted investment strategy, the ARK Autonomous Technology & Robotics ETF (ARKQ) is managed by ARK Investment Management and invests in leaders across autonomous transportation, robotics, 3D printing, and even space exploration. Another innovative option is the AI Powered Equity ETF (AIEQ), which utilizes IBM Watson AI for analyzing data to select its holdings, focusing on companies expected to be at the forefront of AI advancements. Lastly, the First Trust Nasdaq Artificial Intelligence and Robotics ETF (ROBT) zeroes in on companies engaged in the AI and robotics sectors, including AI applications and systems, as well as robotics automation.

These ETFs represent a comprehensive approach to investing in the AI and robotics sectors, catering to various investor preferences for geographical and sectoral exposure. However, it’s crucial for investors to conduct their research or consult with a financial advisor to align these investments with their personal goals and risk tolerance because the AI technology landscape is rapidly evolving.

Tips for Investing in AI Companies

The investment landscape in artificial intelligence (AI) companies presents a unique mix of opportunities and challenges. Whether one is a seasoned investor or a beginner, the strategies outlined below aim to direct the course of investments within the AI sector.

1. Conduct Thorough Research

Before making any investment, deep dive into the specifics of the AI companies on your radar. Evaluate their core technologies, leadership teams, market positioning, and financial stability. Focus on entities with a proven history of innovation, solid business models, and a strategic advantage within the AI market.

2. Grasp the AI Market Dynamics

Developing a comprehensive understanding of the AI industry’s landscape is crucial. Investigate how AI revolutionizes various sectors like healthcare, finance, automotive, and more. Identify the frontrunners in these sectors to pinpoint where significant growth and innovation occur.

3. Diversify Your Investments

Mitigate investment risks by diversifying your portfolio. Investing in a variety of AI companies across different industries allows you to manage potential volatility while tapping into multiple growth avenues. This strategic diversification helps balance your investment portfolio against market fluctuations.

4. Consult With Experts

If the complexities of AI investments seem daunting, consider seeking advice from financial experts. Professional advisors can offer tailored insights that align with your financial objectives, helping you navigate the intricacies of AI investments more effectively. They can also assist in crafting a balanced investment strategy that complements your risk tolerance and long-term goals.

What to Consider When Investing in AI Stocks

When diving into the world of AI stocks, several interconnected factors merit close attention to forge a path toward informed investment decisions:

1. Assess Company Financials: Begin with a deep dive into the financial health of AI-related companies. This involves examining market capitalization as a reflection of the company’s size and stability within the stock market. Evaluate growth potential, profitability, and how the current share price might reflect—or misrepresent—the company’s actual financial standing.
2. Gauge Market Opportunity: Understanding the demand for AI technologies is crucial. Investigate the potential growth of the AI sector to identify companies poised to capitalize on these burgeoning opportunities. This analysis directly informs the viability and timing of investments in AI stocks.
3. Analyze the Competitive Landscape: A company’s position relative to its competitors can offer insights into its long-term prospects. Consider the company’s market share and how its unique offerings or technological advancements provide a competitive edge, ensuring its resilience and potential for enduring success amidst rivals.
4. Examine Management Team Expertise: The prowess of the management team cannot be overstated. Their experience and successful track record in steering the company through the AI industry’s challenges are pivotal for sustained growth. A capable team can significantly leverage market opportunities and navigate regulatory and competitive hurdles.
5. Consider the Regulatory Environment: The impact of government regulations on AI operations and growth trajectories is profound. Regulatory climates vary by region and can influence the pace and direction of AI development and implementation, so investors must take this into consideration.
6. Evaluate Valuation Metrics: Understanding whether a stock is overvalued or undervalued involves scrutinizing valuation metrics. This step is about relating the company’s stock market performance, particularly its share price, to its actual value, thereby uncovering potential investment opportunities or red flags.
7. Stay Informed on Industry Trends: Finally, keeping abreast of industry trends ties all these considerations together. Staying informed enables investors to spot emerging risks and opportunities, making it possible to adapt investment strategies to the latest developments in the AI landscape.

This holistic view fosters strategic investment decisions in the rapidly evolving AI sector.

The Potential AI Bubble: Real Concern or Hype?

The speculation about whether the market is currently experiencing an AI bubble is multifaceted, with compelling arguments on both sides. Here’s a closer look at the key points for and against the existence of an AI bubble.

Arguments Suggesting We Are in an AI Bubble

• Overvaluation of AI Companies: One of the strongest indicators of an AI bubble is the significant overvaluation of companies in the AI sector. Stock prices for many AI companies have skyrocketed, driven by speculative trading and high expectations for future growth. This has led to inflated market valuations that may not be fully supported by the companies’ current financial performance or realistic future earnings potential, reminiscent of past bubbles in tech and other sectors.
• Excessive Hype and Speculation: The AI industry is subject to immense hype, with media and investor excitement often outpacing the actual progress and profitability of AI technologies. This hype can fuel unrealistic expectations about the technology’s near-term impact and financial returns, leading investors to pour money into AI stocks without a solid understanding of the technology or the market, thereby inflating prices beyond sustainable levels.

Arguments Against the Notion of an AI Bubble

• Fundamental Growth and Adoption of AI: Contrary to bubble characteristics, the rapid growth in AI stock prices can also be justified by the fundamental growth and widespread adoption of AI technologies across various industries. AI transforms industries (e.g., healthcare, finance, automotive, and entertainment) and creates new revenue streams. This broad-based adoption suggests that the market’s enthusiasm may be grounded in tangible advancements and long-term growth potential rather than mere speculation.
• Continued Innovation and Investment: The sustained high level of investment in AI research and development by both startups and established tech giants supports the argument against a bubble. This continuous investment drives innovation and leads to the creation of new AI applications and services that offer real value. The fact that companies are seeing tangible results from their AI investments, in terms of both operational improvements and new product offerings, suggests that the sector’s growth is not merely speculative.

Determining whether the current state of AI investment constitutes a bubble is complex. While there are signs that could point towards bubble-like conditions, such as overvaluations and speculative hype, there are also strong fundamentals supporting the growth in AI stock prices. The true test may come as AI technologies mature and their impact on productivity and economic growth becomes clearer. Investors should remain cautious, conduct thorough research, and maintain a balanced portfolio to mitigate potential risks associated with volatile sectors like AI.

Final Thoughts: Should You Invest in AI Stocks?

The decision on whether to include AI stocks in your investment portfolio hinges on several considerations. Diversification is key; incorporating AI stocks can help distribute risk and potentially smooth out investment returns. It’s imperative to align such investments with your financial goals, risk tolerance, and overall financial security.

AI stocks investing offers an opportunity to engage with the burgeoning field of advanced technology, though these stocks come with their own set of challenges, such as market volatility and the unpredictability of technological advancements. Investors can choose direct investment in AI companies or opt for AI-focused ETFs, which provide diversified exposure and professional stock advisor service.

In sum, the decision to invest in AI stocks should be made with a thorough understanding of your investment portfolio’s needs, a clear assessment of your financial stability, and a careful evaluation of the risks and opportunities presented by the AI market. Whether through direct stock purchases or ETFs, a strategic approach tailored to your investment goals is essential.

Disclaimer: Please note that the contents of this article are not financial or investing advice. The information provided in this article is the author’s opinion only and should not be considered as offering trading or investing recommendations. We do not make any warranties about the completeness, reliability and accuracy of this information. The cryptocurrency market suffers from high volatility and occasional arbitrary movements. Any investor, trader, or regular crypto users should research multiple viewpoints and be familiar with all local regulations before committing to an investment.