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Best AI Stocks UK (Shares & Companies To Invest In)

Tobi Opeyemi Amure
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Best AI Stocks to Buy Now

Exploring the best AI stocks to invest in can be a daunting task in the rapidly evolving tech landscape.

I’ve put together a curated list to guide you through the top-performing AI companies that are poised for growth, helping you make informed investment decisions in this cutting-edge sector.

Remember: this list is not a personal recommendation and does not constitute financial advice. Do not buy these investments solely based on what you read in this article. These picks do not constitute personal recommendations or financial advice.

This article was reviewed by Tobi Opeyemi Amure, an investing expert and writer at, and

Best AI Companies to Invest in UK

Here are some of the best AI companies to invest in from the UK based on my hands-on analysis:

CompanyTotal return (YTD)Total return (5-year)Market cap (USD)Share price (USD)
Nvidia (NVDA)197.81%716.8%1.10 trillion446.35
Microsoft Corp (MSFT)46.23%246.31%2.61 trillion351.40
IBM (IBM)8.3%71.23%135.01 billion147.90
Alphabet (GOOGL)44.5%137.97%1.63 trillion129.41 (AI)143.61%-70.53%3.40 billion28.75
Helix Energy Solutions Group (HLX)38.75%24.12%1.56 billion10.37
SoundHound AI (SOUN) -2.82%-77.07%462.40 million1.82

Best AI Stocks UK in 2024

Here are the best AI stocks I’ve identified to consider investing in. *not financial advice.

1. Nvidia (NVDA)

Nvidia (NVDA) stock chart YTD.

Nvidia, a leading graphics chip company, has become a prominent player in the AI boom.

With its graphics cards widely adopted in data centers worldwide, Nvidia’s data center business is experiencing significant growth, driven by the demand for computing power in machine learning and AI applications.

The company’s chips excel in supporting both the training and inference phases of AI, making them popular for complex workloads like large language models and generative AI.

Additionally, Nvidia’s focus on self-driving cars and its professional visualization segment further solidifies its position in the AI market.

While specialised AI processors may emerge in the future, Nvidia’s current success and market presence remain enviable.

2. Microsoft Corp (MSFT)

Microsoft Corp (MSFT) stock chart YTD.

Microsoft has emerged as a major player in the artificial intelligence (AI) market, driven by its strategic investments and integration of AI technologies.

Its acquisition of OpenAI and the pioneering natural language processing chatbot, ChatGPT, have positioned Microsoft as a frontrunner in generative AI.

The rapid adoption of ChatGPT, surpassing even TikTok and Instagram in user numbers, has led to its integration into various Microsoft software applications like Bing, Microsoft Office, Windows, and Skype.

With a solid balance sheet and a forward-thinking approach, Microsoft’s AI and machine learning capabilities make it an appealing investment choice, given the tremendous potential of AI in enhancing productivity and driving earnings growth.

3. IBM (IBM)

IBM (IBM) stock chart YTD.

IBM, a renowned legacy tech company, remains a vital provider of hardware, software, and services to large enterprises.

Its widespread use of mainframe computer systems and lucrative multi-year technology deals showcase its significance.

IBM leverages AI to enhance human intelligence, increase efficiency, and reduce costs.

In healthcare, IBM’s AI technology aids in personalised care plans and expediting drug development, while its acquisition of Promontory Financial Group enables AI-driven financial regulatory compliance support.

Notably, IDC recognised IBM as the leader in AI software platforms, boasting a 13.7% market share.

Despite its complex transformation, IBM presents a promising investment opportunity for those seeking to capitalise on the AI boom.

4. Alphabet (GOOGL)

Alphabet (GOOGL) stock chart YTD.

Alphabet, the parent company of Google, is emerging as one of the leading AI stocks this year.

Despite initial concerns about losing market dominance to Microsoft, Alphabet has proven its AI leadership.

It has developed its own generative AI products, including the chatbot Bard, integrated with Google’s advanced natural language processing model, PaLM 2.

Alphabet’s strategic plan involves synergising AI technology across its applications, with plans to integrate Bard into its search engine and other Google Workspace applications.

Additionally, the expansion of AI in its cloud service offers enterprise-scale AI applications.

With the untapped potential of its DeepMind acquisition and attractive valuation multiples, Alphabet is a compelling choice among top AI stocks.

5. (AI) (AI) stock chart YTD. stands out as a focused AI stock, dedicated solely to artificial intelligence.

As a SaaS company, offers software solutions enabling businesses to deploy robust AI applications.

Their tools empower customers to streamline software development, minimise costs, and mitigate risks across various sectors.

For instance, the U.S. Air Force utilises C3 AI Readiness to predict aircraft system failures and optimise mission capability.

Additionally, European utility company Engie leverages C3 AI for energy consumption analysis and cost reduction. is also launching its generative AI suite, starting with enterprise search, facilitating seamless data retrieval through natural language interfaces.

As a first mover in the industry, holds a unique position and anticipates limited direct competition in the end-to-end enterprise AI development platform space.

While the evolving AI SaaS market may attract competition from major cloud infrastructure players like Amazon and Microsoft,’s distinct positioning offers significant growth potential in the long run.

How to Invest in AI Stocks

Investing in AI stocks can be done through the following steps:

  1. Research & educate yourself: Learn about the AI industry, key players, and trends to make informed investment decisions.
  2. Choose a brokerage account: Select a reputable online brokerage that offers access to a wide range of AI stocks and provides a user-friendly trading platform.
  3. Define your investment strategy: Determine your investment goals, risk tolerance, and timeframe. Decide whether you want to invest in individual AI stocks or consider AI-focused exchange-traded funds (ETFs) for diversification.
  4. Conduct thorough stock analysis: Evaluate AI companies based on their financial performance, competitive advantage, growth prospects, and management team. Consider factors like revenue growth, partnerships, and technological advancements.
  5. Monitor & track your investments: Once you’ve made your investment, stay informed about the latest news and updates in the AI industry. Regularly review your portfolio and make adjustments if necessary.

You may also find my full guide on how to invest in AI in the UK useful.

How to Pick AI Stocks

Picking AI stocks requires careful consideration and research. Here are some steps to help you in the process:

  • Understand the AI industry: Familiarise yourself with the AI industry, including its current trends, applications, and major players. Gain insights into how AI is shaping different sectors.
  • Identify growth areas: Look for sectors or industries where AI adoption is expected to have a significant impact and drive growth. This could include areas like healthcare, autonomous vehicles, e-commerce, cybersecurity, or cloud computing.
  • Research AI companies: Conduct thorough research on AI companies, considering factors such as their financial performance, competitive advantage, technology innovation, partnerships, and market positioning. Evaluate their revenue growth, earnings potential, and prospects.
  • Assess company fundamentals: Analyse key financial metrics like revenue growth, profitability, debt levels, and cash flow. Evaluate the company’s management team, their track record, and their commitment to AI research and development.
  • Consider partnerships & collaborations: Look for companies that have strategic partnerships or collaborations with leading AI players, as these relationships can provide a competitive advantage and access to cutting-edge technologies.
  • Evaluate AI capabilities: Assess the company’s AI capabilities, including its proprietary technologies, machine learning algorithms, and data analysis capabilities. Understand how their AI solutions differentiate them from competitors.
  • Risk assessment: Consider the risks associated with investing in AI stocks, such as technological advancements, regulatory challenges, competition, and market volatility. Diversify your portfolio to mitigate risk.
  • Stay informed: Continuously monitor the AI industry, follow news and updates related to AI companies, industry trends, and advancements. Keep track of financial reports and analyst insights.

Risks & Considerations When Investing in AI Companies?

When investing in AI companies, there are several risks and considerations you should keep in mind:

  • Technology & Innovation Risks: AI is a rapidly evolving field, and companies must continuously innovate to stay ahead. There is a risk that technological advancements may render certain AI solutions obsolete or less competitive, impacting the company’s long-term viability.
  • Regulatory & Ethical Risks: AI technologies often raise concerns related to privacy, data security, bias, and ethical considerations. Regulatory changes or public backlash against AI practices could lead to increased scrutiny or restrictions, affecting the company’s operations and growth potential.
  • Competitive Landscape: The AI industry is becoming increasingly competitive, with both established companies and startups vying for market share. Investing in AI companies requires assessing their competitive positioning, differentiation, and ability to maintain a competitive edge in the evolving market.
  • Intellectual Property Protection: Intellectual property rights play a crucial role in the AI industry. Companies with strong patent portfolios and proprietary technologies have an advantage. However, there is a risk of patent disputes or infringement claims that could impact the company’s financial performance.
  • Data Privacy & Security: AI relies heavily on data, and companies must handle user data responsibly and securely. Any breaches or mishandling of data can lead to reputational damage, legal liabilities, and financial losses.
  • Volatility & Market Sentiment: The stock prices of AI companies can be subject to significant volatility, driven by market sentiment, investor expectations, and shifts in technology trends. Investors should be prepared for short-term price fluctuations and assess long-term growth prospects.
  • Valuation & Financial Performance: Evaluating the valuation of AI companies can be challenging due to high-growth expectations and limited historical financial data. It is important to carefully analyse a company’s financial performance, revenue streams, profitability, and ability to generate sustainable returns.

You should conduct thorough research, stay informed about industry trends, and consider the risks and potential rewards associated with investing in AI companies.

Diversifying investments across multiple AI companies or using diversified investment vehicles such as AI-focused ETFs can help mitigate some risks associated with individual company exposure.

What are the Best AI Stocks to Watch for the Long Term?

  • Amazon (AMZN)
  • IBM (IBM)
  • Baidu (BIDU)
  • Qualcomm (QCOM)
  • Intel (INTC)

What are the Best AI Stocks with Dividends?

  • Nvidia (NVDA)
  • IBM (IBM)
  • Texas Instruments (TXN)
  • Apple Inc (AAPL)
  • Visa Inc (V)

Should You Invest in AI Stocks?

Investing in AI stocks can be an attractive opportunity for investors due to the potential for significant growth and technological innovation.

AI companies are driving advancements in various industries, offering solutions that can disrupt traditional business models.

Including AI stocks in your investment portfolio can provide diversification and exposure to a sector with unique growth dynamics.

However, it’s important to consider the risks involved.

The AI industry is still evolving, and companies may face challenges such as regulatory hurdles, data privacy concerns, competition, and technological limitations.

Before investing in AI stocks, it’s crucial to conduct thorough research and analysis to assess the risks and potential rewards associated with individual stocks.

Final Thoughts

Investing in AI stocks offers the potential for significant growth and long-term returns.

The AI industry is expanding rapidly, with various companies at the forefront of innovation and technological advancements.

By carefully researching and analysing the best AI stocks and companies, investors can identify opportunities that align with their investment goals and risk tolerance.

However, it’s essential to consider the risks associated with AI investments, such as technological changes, regulatory challenges, and competitive dynamics.

Diversification, staying informed, and regularly monitoring the performance of AI stocks are key strategies for successful investing in this exciting and transformative sector.


What AI company is Elon Musk investing in?

xAI, a recently launched company, has introduced its website and assembled a team of around twelve members. According to the information available on the website, the company will be spearheaded by Elon Musk and plans to collaborate closely with X (Twitter), Tesla, and other organisations to advance toward its mission.

Can you invest in ChatGPT stock?

OpenAI is a privately held company and not publicly traded. Therefore, there is currently no direct way to invest specifically in ChatGPT stock.

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Will Fenton is the founder of Sterling Savvy. He is a personal finance expert and writes about trading, investing, budgeting, and other financial topics.

Along with his education in Economics & Finance, he has experience working in the financial services industry in London working for one of the UK’s leading financial companies, “a trustworthy and respected provider of news, education and market analysis for the everyday investor”.

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