Investing in AI: How to do it and Best Options 2026

June 30, 2026

Nowadays, it seems that we encounter the words artificial intelligence everywhere, from when we visit the doctor to when we study, but what is AI? If you want to understand what it is and how you can invest your capital in it, keep reading because we explain everything in this article.

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What is artificial intelligence?

Artificial intelligence, or AI, is a field of computer science that aims to design technology capable of emulating human intelligence. In other words, through the creation of specialized algorithms and systems, machines can perform processes characteristic of human intelligence, such as learning, reasoning, or self-correction.

Types of artificial intelligence

Currently, there are different types of artificial intelligence, each developed with different objectives and for distinct needs; these can be classified according to various criteria.

According to their capability

  • Narrow Artificial Intelligence (ANI): Focuses on a specific task and executes it with great precision. Some examples include facial recognition systems, Google's automatic translator, and the virtual assistant Siri.
  • Artificial General Intelligence (AGI): This is hypothetical and has not yet been developed. It would be capable of performing any cognitive task that a human can do.

According to their approach

  • Reactive machines: Respond to the current environment without memory or planning capacity. An example is a robot that plays chess without remembering previous moves.
  • Limited memory: They have memory and can use it to make decisions. An example is a chatbot that remembers user preferences.
  • Theory of mind: They understand the emotions and beliefs of others. This technology is still under development.

Some examples of AI technologies

  • Artificial Neural Networks (ANN): Simulate the functioning of the human brain to learn and make decisions.
  • Deep learning: A type of ANN that uses large amounts of data to learn complex patterns.
  • Natural Language Processing (NLP): Allows machines to understand and generate human language.
  • Computer vision: Allows machines to interpret images and videos.
  • Robotics: Combines AI with mechanics to create robots that can perform tasks in the real world.

Why invest in AI?

AI has established itself as one of the most attractive sectors for investment, driven by a series of factors that promise sustained growth and significant return opportunities in the financial market. Some of the reasons why investing in artificial intelligence is a good idea are:

High growth potential

AI is a constantly evolving field with extraordinary growth potential. It is expected that in the coming years, this sector will experience exponential growth as its application expands across a variety of industries, from healthcare to logistics and manufacturing. This expansion will be driven by the continuous development of new technologies, more sophisticated algorithms, and greater integration of AI into business and daily processes.

Disruptive innovation

One of the most striking characteristics of AI is its ability to trigger disruptive innovation across multiple economic sectors. From the automation of routine tasks to the optimization of complex processes, AI is redefining how companies operate and compete in the market. This capacity to generate transformational change creates golden opportunities for companies that lead the development and implementation of AI solutions.

Attractive profitability

Historically, select AI-focused companies have demonstrated exceptional growth in their profitable passive income and net earnings. Businesses that successfully develop innovative technologies and establish themselves as leaders within specialized market niches can generate substantial returns for their investors. 

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How to invest in AI?

If you are considering investing in AI, you should be aware of the different ways to do so:

Company stocks

One of the most direct ways to invest in AI is by purchasing shares of companies that are actively involved in the development, research, and implementation of AI technologies. These companies range from tech giants to startups specializing in AI.

Thematic investment funds

Guaranteed investment funds and thematic funds focus on specific economic sectors, such as technology or artificial intelligence. Much like investment accounts, these funds invest in a diversified portfolio of AI-related equities, enabling investors to gain sector exposure without the need to select individual stocks.

Venture capital (VC) firms

Another alternative is to invest through venture capital firms that focus on investing in startups and early-stage AI enterprises. By allocating capital to venture funds, investors gain access to high-potential companies positioned to become future market leaders. However, this approach carries heightened risk, as a significant proportion of early-stage startups fail to succeed. 

Diversified technology companies

In addition to investing directly in AI-focused companies, you might consider investing in broader technology companies that have dedicated AI divisions.

What are the disadvantages of investing in AI?

Investing in artificial intelligence (AI) can offer numerous advantages, but it also carries certain disadvantages and risks that are important to consider:

  1. Initial and ongoing costs: Implementing AI technologies can be expensive, both in terms of acquiring specialized equipment and software, and in training and hiring skilled personnel.
  2. Security and privacy risks: AI involves massive data processing, which increases the risks of security breaches and the exposure of sensitive data. This can lead to privacy issues and potential legal penalties.
  3. Technological dependency: Relying on AI systems for critical processes can lead to significant technological dependency. Any failure or malfunction could have serious consequences that are difficult to mitigate quickly.
  4. Ethics and bias: AI algorithms can inadvertently generate biases or reflect existing biases in the data used to train them. This can lead to unfair or discriminatory decisions if not managed properly.
  5. Impact on employment: AI-driven automation can radically change labor dynamics, negatively affecting certain sectors and traditional jobs, which may lead to social and economic tensions.
  6. Complexity and maintenance: Keeping AI systems operational and efficient can be complex and requires continuous updates, adaptation to new data, and technological evolution, which entails additional costs and resources.
  7. Technical and ethical limitations: Despite advancements, AI still faces significant challenges regarding context comprehension, human reasoning, and decision-making ethics, which can limit its applicability in certain scenarios.

Evaluating these disadvantages alongside the advantages is crucial for making an informed investment and for managing the risks associated with the adoption of artificial intelligence technologies.

Best companies to invest in for AI in 2026

AI is here to stay and continues to revolutionize our lives; for this and other reasons, it is a very good investment option. But which companies are the best to invest in? Here are a few options:

Microsoft (MSFT)

Microsoft is one of the world's largest technology companies and is also one of the biggest investors in AI. The company has been developing AI technologies for many years and is now beginning to reap the rewards of that investment. Microsoft Azure, the company's cloud platform, offers a wide range of AI services, and the company is using AI to improve its products and services in various areas, from speech recognition to machine translation.

Alphabet

Alphabet, the parent company of Google, is another leader in AI. Google has been a pioneer in developing many of the world's most important AI technologies, such as machine learning and natural language processing.

Amazon

The company is using AI to improve its e-commerce operations, as well as to develop new products and services, such as its voice assistant, Alexa. Amazon is also investing in AI research, and the company has published some of the most significant research papers in the field.

IBM

IBM is a company with a long history of technological innovation, and AI is one of its key areas of focus. IBM has developed a wide range of AI products and services and is working with companies around the world to help them implement AI solutions.

Nvidia

Nvidia is a chip manufacturer that specializes in graphics processing units. These are used in a wide range of applications, including gaming, data centers, and autonomous vehicles. The company is also developing AI-specific chips, and its products are being used by some of the world's most prominent artificial intelligence companies.

Intel (INTC)

Intel is known for its processors and is expanding its AI capabilities. The company is developing technologies for AI applications across various sectors, from cloud computing to artificial intelligence in connected devices.

Salesforce (CRM)

Salesforce uses AI to enhance its CRM (Customer Relationship Management) services. The company has integrated AI into its platforms to help businesses better understand their customers, automate processes, and improve productivity.

Apple (AAPL)

Apple has integrated AI into its products and services, such as Siri and user experience optimization on its devices. Furthermore, the company is investing in research and development of AI technologies to remain competitive in the technology market.

Baidu (BIDU)

Baidu is one of the leading technology companies in China and is intensifying its focus on AI. The company uses AI in its search engines, mobile applications, and autonomous driving platforms, positioning itself as a leader in AI development in Asia.

Tesla (TSLA)

Tesla is known not only for its electric vehicles but also for its focus on autonomous driving, which relies heavily on AI. The company is developing advanced AI technologies to improve the safety and efficiency of its vehicles and is also exploring applications in other areas.

Tips for investing in artificial intelligence

Beyond the benefits and advantages of investing in AI, there are points that must be clearly understood to avoid unfavorable outcomes. Therefore, we offer the following advice:

Conduct thorough research

Before investing in any AI-related company, it is crucial to dedicate time to researching and understanding the market in depth. Examine current trends, the company's track record, and its position within the AI sector.

Long-term focus

AI is a technology with significant long-term potential. Avoid the temptation to seek quick gains and maintain a long-term investment perspective. The true value of AI investments may manifest as the technology continues to evolve and penetrate various sectors of the economy.

Be patient

This field is constantly evolving and developing. Do not expect immediate results when investing in AI companies. Practice patience and self-control.

Evaluate growth potential

Examine how artificial intelligence is transforming various sectors, from financial services to education and healthcare, taking into account both practical applications and long-term industry impact. Evaluating a company’s growth trajectory based on its capacity to capitalize on these artificial intelligence trends can assist in identifying compelling investment opportunities.

Diversify

Prudent portfolio management requires avoiding the concentration of capital in a single enterprise. Diversifying your investments across your portfolio is essential to mitigating risk and optimizing potential returns. 

Diversify your investments and invest in real estate

Portfolio diversification is an essential investment principle. While one asset may depreciate, another can appreciate, thereby preserving overall returns. While the field of artificial intelligence holds considerable promise, it remains subject to market uncertainties. In contrast, real estate investment continues to rank among the most reliable vehicles for capital appreciation. Domoblock enables participation in real estate investment starting from just €200. Furthermore, we target the return of your initial real estate investment within eight months, alongside an annualized return of 10% in a secure asset class. 

Trusted by more than 350 investors across 12 countries, Domoblock provides an intuitive, commission-free platform specializing in real estate crowdfunding and property tokenization, enabling fully automated investments in just a few clicks. With an expedited onboarding process, identity verification is required only once to unlock permanent access to the platform's benefits.

But that is not all. Have you heard of real estate tokenization? Thanks to our token technology, you can invest with small amounts and diversify your portfolio across multiple projects. And what if you need to divest? No problem! You can quickly convert your stake into cash through our secondary markets, which are open 24/7.

At Domobock, we bring the real estate market to you in just a few clicks.

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Conclusion

If you are looking for long-term gains, investing in AI can be an excellent path. However, it is important to remember that AI is a constantly evolving field and the companies leading today may not be the same ones leading tomorrow. Always stay informed, seek professional advice, and keep up to date. In the world of investing, diversification and information are your best allies.

Author

Sergio Navarro

Expert in blockchain, investments, and personal finance

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