The 10 best investments in artificial intelligence in 2026
Artificial intelligence (AI) has established itself in 2026 as one of the most influential and strategic areas within the world of technology and business. Far from being an emerging trend, AI is now a key pillar in the digital transformation of companies, markets, and investment models. As specialists in this sector, which is evolving at great speed, we closely follow its advances, real-world applications, and market signals.
As 2026 progresses, investment opportunities in artificial intelligence continue to expand, from the major tech leaders that have been driving innovation for years, to companies specializing in infrastructure, software, and data. In this article, we’ve compiled the 10 best investments in artificial intelligence for 2026, based on analysis and forecasts from leading media outlets such as NASDAQ and The Motley Fool.
Is it worth investing in artificial intelligence in 2026?
If you follow the world of technology closely, it’s hard to ignore the role artificial intelligence is playing in the global economy. In 2026, AI is no longer a future promise: it’s a real growth engine for companies, investors, and entire sectors.
From critical infrastructure such as chips and data centers to software, automation, and business services, investment opportunities in artificial intelligence have multiplied. Below, we review some of the most interesting companies and approaches for those looking to gain exposure to this growth throughout 2026.
That said, as with any investment, it’s important to carefully analyze each option, understand the risks, and make informed decisions. AI offers enormous potential, but it is also a competitive, ever-changing, and rapidly evolving sector.
NVIDIA (NVDA)
NVIDIA continues to lead the AI market with its GPUs and computing platforms that power global data centers. In 2025, it became the first company to surpass $4 trillion, and later $5 trillion, in market capitalization, reflecting the AI boom and the enormous demand for its products.
Microsoft (MSFT)
Microsoft has integrated AI into many of its products and services, with its partnership with OpenAI standing out. Its Azure platform grew 39% in cloud revenue in a recent quarter, reaching close to $75 billion in annual sales driven by AI. In addition, more than 85% of Fortune 500 companies use Microsoft’s AI solutions, and around 70% already use Microsoft 365 Copilot for productivity, demonstrating massive enterprise adoption of its AI tools.
Amazon (AMZN)
Amazon uses AI across multiple fronts, from advanced product recommendation systems to logistics optimization and warehouse automation. Its cloud division, AWS, posted revenue growth of more than 20%, driven largely by demand for infrastructure to train and run AI models. AWS also offers key services such as foundation models, its own chips (Trainium and Inferentia), and generative AI tools used by millions of developers and hundreds of thousands of companies worldwide, cementing Amazon’s position as one of the world’s leading AI infrastructure providers and a sustained growth engine heading into 2026.
Meta Platforms (META)
Meta Platforms is positioning itself as one of the leaders in applying artificial intelligence within digital advertising and social media, leveraging its enormous user base and data to improve content and ad targeting. The company has developed its own chips and advanced AI models to optimize costs and performance. In the latest quarter, its profits grew 20%, and Wall Street consensus estimates 21% growth in 2026, with an upside potential of 29% based on analysts’ average price target.
Alphabet (GOOGL)
Google’s parent company is capitalizing on artificial intelligence in key areas such as search, digital advertising, and Google Cloud. In 2025, revenue growth of close to 14% annually was projected, supported by strong investments in AI and a revenue base of approximately $455 billion. In addition, the integration of advanced AI models into search, advertising tools, and enterprise services is allowing Alphabet to improve monetization efficiency, while Google Cloud continues to gain market share thanks to AI solutions used by millions of developers and a growing number of large enterprises, reinforcing its strategic positioning for the next decade.
Pure Storage (PSTG)
Pure Storage, which specializes in high-performance all-flash storage solutions, is benefiting from growing demand for infrastructure to support artificial intelligence workloads. Its DirectFlash technology stands out for offering greater density and significantly lower energy consumption than traditional alternatives. With the all-flash storage market growing at 16% annually through 2033, the company reported a 16% increase in adjusted profits in the latest quarter, while analysts expect annual growth of close to 23% in the coming years.
Advanced Micro Devices (AMD)
AMD has reported strong growth, with revenue of more than $9 billion in a recent quarter, up 36% year-over-year, and expects its AI segment to grow around 80% annually in the coming years, driven by demand for AI accelerators and processors.
Adobe (ADBE)
Adobe has integrated AI into its creative and marketing suite through Adobe Sensei, increasing adoption and value for professionals using its products. Although there are no specific recent figures on AI-related growth, its subscription-based software business shows recurring stability and high margins thanks to AI.
Salesforce (CRM)
Salesforce has added AI with Einstein GPT, improving CRM automation and personalization. These kinds of solutions have helped consolidate recurring revenue, with AI strengthening customer retention and enterprise demand.
Taiwan Semiconductor Manufacturing Company (TSMC)
TSMC is the leading manufacturer of the advanced chips powering the global AI revolution. Its critical role in producing semiconductors for tech leaders is backed by growing investment in AI infrastructure and the expansion of data centers.
What other ways are there to invest in artificial intelligence in 2026?
Beyond the large tech corporations leading the development of artificial intelligence, in 2026 there are additional investment options for those seeking a more balanced and diversified portfolio. The AI ecosystem has matured, and today it offers opportunities in infrastructure, software, automation, and data alike, allowing investors to gain exposure to the sector’s growth from different angles.
AI-focused ETFs
For those who prefer a diversified strategy that is less dependent on the performance of a single company, ETFs specializing in artificial intelligence remain a very attractive option in 2026. Funds such as the Global X Robotics & Artificial Intelligence ETF or the ARK Autonomous Technology & Robotics ETF offer exposure to dozens of companies linked to robotics, automation, semiconductors, and AI software worldwide.
This alternative allows investors to participate in the structural, long-term growth of artificial intelligence, reducing concentration risk and the need to correctly predict which company will lead the sector at each stage—something especially valuable in such a dynamic, competitive, and constantly evolving market.
What is the key to investing in artificial intelligence in 2026?
Artificial intelligence has established itself as one of the main forces of economic transformation of the coming decade. Whether you choose to invest directly in established leaders like NVIDIA, Microsoft, or Amazon, or prefer a more diversified approach through ETFs, the key in 2026 remains staying informed, understanding technological trends, and adopting a long-term vision. AI is no longer a future promise, but a reality that is redefining entire sectors and generating constant opportunities for investors and companies.
In 2026, the advantage isn’t using AI, it’s using it better than everyone else
Today, practically every company, large and small, has access to artificial intelligence tools. The real difference is no longer about adopting AI, but about knowing where to apply it, how to integrate it into processes and how to turn it into real impact for the business.
Many SMEs already use AI, but few do so strategically, with clear use cases, defined metrics, and teams prepared to make the most of it. That’s where competitive advantage is won—or lost.
At LISDATA, we help companies move from occasional use of AI to structured adoption aligned with their goals. We identify real opportunities, support teams, and measure results.
Request a free consultation and discover how to turn artificial intelligence into a real growth lever for your company.