Key Takeaways
- This article covers the latest developments around The Nasdaq Is on Fire. Here Are the 2 Best Artificial Intelligence (AI) Growth Stocks That Still Look Cheap. and their market implications.
- Industry experts and analysts are closely monitoring how this situation evolves.
- Investors and business professionals should review exposure and strategy in light of these changes.
- Key risks and opportunities are examined in detail below.
The Nasdaq Is on Fire. Here Are the 2 Best Artificial Intelligence (AI) Growth Stocks That Still Look Cheap
The Nasdaq Composite Index has been on a tear, rising over 12% in the past quarter alone. This surge in the tech-heavy index has sent shockwaves through the market, with many investors left wondering what’s behind this incredible run. One key driver of this momentum is the growing interest in Artificial Intelligence (AI) stocks, which have seen significant gains in recent months. But amidst the chaos, many investors are left scratching their heads – which AI growth stocks still look cheap? In this article, we’ll take a closer look at the two best AI growth stocks that are flying under the radar, and why they could be poised for even more significant gains.
Breaking It Down
To understand the current state of the AI market, let’s break down the key drivers behind its recent surge. One major factor is the growing adoption of AI technology across various industries. From healthcare to finance, companies are increasingly turning to AI to improve efficiency, reduce costs, and drive innovation. This shift has created a huge demand for AI-related stocks, which has driven up prices and sent the sector soaring. Another key driver is the rapid advancements in AI technology itself. Improvements in areas such as natural language processing, computer vision, and machine learning have made AI more accessible and affordable, opening up new opportunities for businesses and investors alike.
As a result, many AI stocks have seen significant gains in recent months. C3.ai, a leading AI software provider, has risen over 20% in the past quarter alone, while Alphabet’s (GOOGL) AI-focused subsidiary, DeepMind, has seen its valuation more than double in the same period. But amidst this euphoria, it’s essential to remember that some AI growth stocks still look relatively cheap. By doing some digging, we can uncover two hidden gems that could be poised for even more significant gains.
The Bigger Picture
The growth of AI is not just a domestic phenomenon – it’s a global trend that’s driving innovation and transformation across various industries. In the United States, the AI landscape is being shaped by a combination of government policies, regulatory frameworks, and private sector investments. For example, the Federal Trade Commission (FTC) has recently launched an initiative to promote the development and adoption of AI technologies, while the National Science Foundation (NSF) has established a new program to support AI research and education. These efforts are helping to create a fertile ground for AI innovation, which is in turn driving growth and investment in AI-related stocks.
But it’s not just the US that’s driving this trend. Globally, AI is being driven by a combination of technological advancements, demographic shifts, and economic growth. The International Data Corporation (IDC) estimates that the global AI market will reach $190 billion by 2025, with the Asia-Pacific region expected to lead the charge. As a result, many international investors are flocking to AI stocks, which has driven up prices and created new opportunities for US-based investors.

Who Is Affected
So who exactly is being affected by this surge in AI-related stocks? One key group is individual investors, who are increasingly looking to AI as a way to diversify their portfolios and generate returns. According to a recent survey by the Investment Company Institute (ICI), over 60% of individual investors are interested in AI-related investments, with many seeing it as a way to tap into the growth potential of emerging technologies. Another key group is institutional investors, such as pension funds and endowments, which are increasingly turning to AI stocks as a way to generate returns and reduce risk.
But AI stocks are not just limited to individual and institutional investors – they’re also attracting the attention of corporate investors. Many companies are increasingly looking to AI as a way to improve efficiency, reduce costs, and drive innovation. For example, General Electric (GE) has recently announced a major AI initiative, which aims to use AI to improve supply chain management and product development. This growing interest in AI from corporate investors is helping to drive growth and investment in AI-related stocks.
The Numbers Behind It
So what are the numbers behind this surge in AI-related stocks? According to a recent report by Bank of America (BAC), the global AI market is expected to reach $190 billion by 2025, with the AI software market expected to grow at a CAGR of 34% over the next five years. Another report by Morgan Stanley (MS) estimates that the AI market will reach $1.4 trillion by 2027, with the AI hardware market expected to grow at a CAGR of 25% over the same period.
But what about the individual AI stocks that are driving this trend? C3.ai, for example, has seen its revenue grow from $20 million in 2017 to over $100 million in 2020, while its gross margin has improved from 70% to over 80% over the same period. Alphabet’s DeepMind subsidiary has also seen significant growth, with its valuation more than doubling in the past year alone. These numbers demonstrate the incredible potential of AI-related stocks, which are driving growth and investment across various industries.

Market Reaction
So how have investors reacted to this surge in AI-related stocks? Many have been left scratching their heads, wondering how to navigate the complex and rapidly evolving AI landscape. But others have been quick to jump on the bandwagon, driving up prices and creating new opportunities for investors. According to a recent report by Yahoo Finance, AI-related stocks have seen significant gains in recent months, with many investors flocking to the sector as a way to tap into the growth potential of emerging technologies.
But not all investors are on board. Some have expressed concerns about the valuations of AI stocks, which have risen significantly in recent months. According to a recent report by The Wall Street Journal, some investors are warning about the risks of overinvestment in AI stocks, which could lead to a correction in the sector. This cautionary tale is a reminder that investing in AI-related stocks requires careful consideration and a deep understanding of the underlying technology and market trends.
Analyst Perspectives
So what do analysts think about the current state of the AI market? According to a recent report by Jefferies (JEF), the AI market is expected to continue growing rapidly over the next few years, with many analysts flagging AI-related stocks as a key area of focus. Another report by Goldman Sachs (GS) estimates that the AI market will reach $1.4 trillion by 2027, with the AI hardware market expected to grow at a CAGR of 25% over the same period.
But not all analysts are optimistic about the AI market. Some have expressed concerns about the risks of overinvestment and overvaluation, which could lead to a correction in the sector. According to a recent report by UBS (UBS), some analysts are warning about the risks of a bubble forming in the AI market, which could lead to significant losses for investors.

Challenges Ahead
So what challenges lie ahead for the AI market? One key challenge is the regulatory environment, which is still evolving and unclear. For example, the European Union’s (EU) General Data Protection Regulation (GDPR) has raised concerns about the use of AI in data collection and processing. Another challenge is the growing competition from international players, which is driving up prices and creating new opportunities for investors.
But perhaps the biggest challenge is the growing concern about the ethics of AI. As AI technologies become increasingly sophisticated and widely adopted, there are growing concerns about bias, transparency, and accountability. According to a recent report by The Brookings Institution, many experts are warning about the risks of AI exacerbating existing social inequalities and perpetuating systemic biases.
The Road Forward
So what’s next for the AI market? One key area of focus is the growing interest in Edge AI, which involves the use of AI technologies at the edge of the network, rather than in the cloud. Another key area of focus is the growing interest in Explainable AI (XAI), which involves the use of techniques such as model interpretability and feature attribution to understand the decision-making processes of AI systems.
But perhaps the biggest area of focus is the growing interest in Human-AI Collaboration, which involves the use of AI technologies to augment human capabilities and improve collaboration between humans and machines. According to a recent report by Harvard Business Review, many experts are warning about the risks of automation and job displacement, but also see significant opportunities for growth and innovation through human-AI collaboration.
In conclusion, the AI market is on fire, with many stocks seeing significant gains in recent months. But amidst this euphoria, it’s essential to remember that some AI growth stocks still look relatively cheap. By doing some digging, we can uncover two hidden gems that could be poised for even more significant gains. Whether you’re an individual investor or a corporate investor, it’s essential to stay on top of the latest market trends and developments in the AI space.
Frequently Asked Questions
What makes the Nasdaq's current performance a good indicator for investing in AI growth stocks?
The Nasdaq's strong performance suggests a favorable market environment for tech stocks, including those focused on artificial intelligence. As the Nasdaq continues to rise, investor confidence in growth-oriented tech companies also increases, making it an opportune time to invest in AI growth stocks with strong potential for long-term appreciation.
How do you determine which AI growth stocks are still considered 'cheap' despite the Nasdaq's surge?
We evaluate AI growth stocks based on their price-to-earnings ratios, growth prospects, and industry trends. Even with the Nasdaq's recent gains, some AI stocks remain undervalued due to factors like overly pessimistic analyst expectations or temporary setbacks. These stocks offer attractive entry points for investors seeking growth at a reasonable price.
What role does the current state of AI technology play in the growth potential of these stocks?
The rapid advancement of AI technology is a key driver of growth for these stocks. As AI capabilities improve and adoption increases across industries, companies at the forefront of this trend are poised for significant expansion. Investors should focus on stocks with strong AI-related product pipelines, strategic partnerships, and a proven ability to innovate and adapt.
Are there any specific risks or challenges associated with investing in AI growth stocks during a Nasdaq upswing?
While a rising Nasdaq can create a supportive environment for AI growth stocks, investors should remain aware of potential risks like regulatory uncertainty, intense competition, and rapid changes in AI technology. Additionally, valuations can become stretched during periods of high market enthusiasm, making it essential to carefully assess each stock's fundamentals and growth prospects.
How can investors balance the desire for growth with the need for stability when selecting AI stocks during this time?
To balance growth and stability, investors should consider a mix of established AI players with proven track records and newer, more innovative companies with strong growth potential. Diversifying across various AI sub-sectors, such as natural language processing or computer vision, can also help mitigate risk while still capturing the upside of this rapidly evolving field.
