Who are the major institutional investors in AI today?

The landscape of institutional investors in artificial intelligence is highly diverse and includes venture capital firms, private equity funds, corporate venture capital arms, and government-backed investment funds. Below are some of the most influential players:

Venture Capital firms: Venture capital (VC) firms play a major role in funding early-stage AI startups and supporting their growth. Some of the best-known VCs investing in AI include:

Sequoia Capital: One of the most renowned venture capital firms globally, Sequoia Capital has played a key role in financing some of the world’s largest technology companies, including Apple, Google, and Airbnb.
Andreessen Horowitz (A16z): Known for its strategic investments in technology startups across various stages of growth, the firm was founded by Marc Andreessen and Ben Horowitz, two leading figures in Silicon Valley.
Soma Capital: A venture capital firm focused on early-stage investments in technology startups, founded by Aneesh Chaganty and his father, Sri Chaganty.
Khosla Ventures: Known for backing bold ideas and innovative technologies, Khosla Ventures has a diverse portfolio across healthcare, energy, and transportation sectors.
Tiger Global Management: A major investment firm recognized for its aggressive investment strategy and global reach, with substantial investments in both public and private technology companies.
Greylock Partners: A leading venture capital firm with a long history of successful investments in tech companies such as LinkedIn, Facebook, and Airbnb.
Amplify Partners: Specializes in early-stage enterprise software startups, supporting entrepreneurs developing innovative business solutions.
Pioneer Fund: A VC firm investing in startups across sectors like technology, healthcare, and consumer products, focused on supporting visionary founders.
Index Ventures: A global venture capital firm investing in technology and life sciences companies across all stages of growth, with offices in San Francisco, London, and Geneva.
Coatue: A technology-focused investment firm managing both public and private funds, known for making bold bets on high-growth tech companies and being deeply involved in the startup ecosystem. (Robbins, 2023)

These firms contribute significantly to the rise of AI-related VC investments. The United States and China have captured more than 80% of global AI venture funding, followed by the EU, the United Kingdom, and Israel. While AI investment growth has been steady in the U.S., it has shown more volatility in China. The three main sectors attracting VC capital are:

Autonomous vehicles and mobility technologies
Healthcare, pharmaceuticals, and biotechnology
Business services (Amdur, 2023)

Private Equity funds: Private equity (PE) firms typically invest in more established companies or provide capital for projects within larger organizations. Examples of PE firms active in the AI space include:

The Carlyle Group: Has shown growing interest in AI through its technology-focused investments. Although not exclusively AI-centered, Carlyle supports companies leveraging artificial intelligence and machine learning.
KKR (Kohlberg Kravis Roberts): Actively invests in the tech sector, including AI-driven businesses across multiple applications.
Silver Lake Partners: A private equity firm investing at the intersection of technology and business, with a demonstrated interest in AI and related industries.
Blackstone Group: Engaged in technology investments, including AI, primarily through strategic acquisitions and funding established firms.
Sequoia Capital: While primarily known as a venture capital firm, Sequoia also participates in later-stage and equity investments.
SoftBank Vision Fund: Although not a traditional PE firm, SoftBank’s Vision Fund has made substantial investments in AI companies globally, positioning itself as one of the largest technology-focused funds in the world.
TPG Capital: Invests in technology companies across various sectors, including AI, supporting organizations that use artificial intelligence for innovation and growth.

Corporate Venture Capital (CVC) divisions: The surge of AI startup activity has also attracted the attention of corporate venture capital (CVC) arms, eager to participate in the ongoing AI boom. Many CVC initiatives specifically target generative AI and large language models (LLMs) that can automate key business processes. (Kokalitcheva, 2023)

Notable examples include:

Salesforce: In March 2023, Salesforce announced a new $250 million fund dedicated to generative AI. In 2025, Salesforce Ventures further expanded its initiative, bringing its total AI-dedicated investment to $1 billion, including a new $500 million fund launched during the year. Recent investments have included leading companies such as Anthropic, Cohere, Mistral AI, Runway, and Hugging Face. Additionally, Salesforce announced a $1 billion plan in Singapore to support AI adoption and research across the Asia-Pacific region (Salesforce, 2025).
Workday: In February 2023, Workday expanded its existing investment fund with an additional $250 million specifically targeting AI and machine learning startups.
OpenAI: The company behind ChatGPT raised a $175 million startup fund for AI ventures and entered agreements with Apple to integrate GPT technologies into its next-generation devices.
Amazon: Recently launched a generative AI startup accelerator, offering Amazon Web Services (AWS) credits to participants.
Solana: The blockchain-based foundation announced a $10 million acceleration fund to support developers building generative AI applications.
GV (formerly Google Ventures): Invested in several AI startups, including participation in funding rounds for companies such as Synthesia.
M12 (Microsoft’s venture capital fund): Actively investing in AI startups, including companies like Typeface. In 2025, M12 also led a $15 million funding round for Edera, a startup specializing in cloud infrastructure and AI security. At the same time, Microsoft announced a $400 million strategic investment in Switzerland to strengthen its AI ecosystem and launch a dedicated startup accelerator, the “Swiss AI Tech Accelerator Community.”
Intel Capital: Intel’s venture arm has invested in multiple AI startups, such as MatrixSpace and Alkymi.
Baidu Ventures: The venture arm of Chinese tech giant Baidu has backed several AI startups, including Shengshu-AI and Xihu Xinchen. (Wilhelm, 2023)

Government-backed investment funds: Governments worldwide are increasingly investing in and exploring the potential of AI. For instance, the U.S. government plans to significantly expand its research funding. The goal is to support pilot programs, engage with experts to understand AI’s societal implications, and collaborate with academia and industry leaders to implement AI-driven projects across sectors such as immigration services, traffic management, and public administration.

Canada has been a pioneer, launching a national AI strategy focused on research and talent development. Singapore is working with Microsoft to integrate conversational AI into public services, while Denmark aims to become a global leader in digital innovation. Other examples include the Atlanta Fire Department, which uses predictive analytics to identify buildings at fire risk; China’s comprehensive national AI development plan; and the New York City Department of Social Services, which is automating and digitizing its service delivery. The race to become a global AI leader is already underway, with governments playing a crucial role in driving progress. (Dialani, 2020)

Common government AI applications include:

Public services: Enhancing efficiency and accessibility through AI-powered chatbots that guide citizens to the right resources.
Social welfare: Enhancing efficiency and accessibility through AI-powered chatbots that guide citizens to the right resources.
Homeland security: AI can help predict and prevent crime by analyzing police data and optimizing law enforcement deployment. However, AI-based surveillance — including facial recognition — raises ethical concerns.
Military: Autonomous drones or unmanned combat aerial vehicles (UCAVs) can be used in military operations with varying levels of autonomy.
Transportation: AI enables autonomous shuttles for flexible and efficient mobility and can monitor social media for traffic-related incidents.
Education: AI provides personalized learning by analyzing student progress and identifying learning gaps. It can also automate grading and deliver instant feedback.
Emergency services: AI assists in classifying emergency calls by urgency and predicting wildfires by mapping forest dryness.
Public relations: AI chatbots can support government services, schedule appointments, and analyze social media posts to gather citizen feedback.
Other applications: AI automates document processing and redaction, supports translation services, and generates natural language content (NLG). (Dilmegani, 2024)

Throughout 2025, the landscape of investment in artificial intelligence has entered a new phase of maturity, marking a decisive turning point in the global innovation economy. Although the overall venture capital market is experiencing a period of contraction, AI continues to stand out as a remarkable exception: in the first half of the year, more than sixty per cent of total venture capital funding worldwide was directed towards AI-related startups, with a particularly strong concentration in the United States. This reflects not only investors’ growing confidence, but also the widespread recognition that AI has become a structural component of modern economies and production systems.

The year 2025 has been characterised by a smaller number of deals compared to previous years, yet with significantly larger individual investments. The so-called mega-rounds have dominated the scene, led by emblematic cases such as the record forty-billion-dollar funding raised by OpenAI earlier this year. This shift towards fewer but larger transactions indicates a consolidating market in which major actors — including venture capital firms, private equity funds and corporate venture arms — increasingly favour initiatives with validated business models and robust technological infrastructures.

At the same time, investor focus has been gradually moving from end-user applications to the platforms and tools that enable the development of AI systems. The current belief is that the true competitive advantage lies in the technological “building blocks” upon which future applications will be built. As a result, there has been a marked rise in dedicated AI funds: by 2025, nearly one quarter of all new venture capital funds launched globally have declared AI as their primary focus, compared with less than six per cent only a few years ago.

Another consolidating trend is the emergence of hybrid models that bridge public and private investment. Governments around the world are increasingly developing long-term national AI strategies, often in collaboration with major technology firms and institutional investors, to promote ethical, safe and inclusive innovation. This coordinated approach is shaping a more balanced global ecosystem, in which economic interests intertwine with goals of sustainability, security and competitiveness.

In summary, 2025 confirms that artificial intelligence is no longer a niche sector but the central axis of the innovation economy. Investment strategies are now centred on long-term value creation, reduced dependence on massive proprietary datasets, and the responsible integration of AI into decision-making and production processes. In this context, companies and investors able to act with strategic foresight and ethical awareness will not only anticipate future transformations but also play a decisive role in defining their trajectory.