High. This portfolio invests in technology companies that are actively participating in the AI ecosystem. While AI presents long-term growth opportunities, the sector is subject to rapid technological changes, evolving regulations, high competitive pressures, and market volatility. Company performance may vary based on their success in integrating AI into business models and maintaining technological leadership.
You are interested in gaining exposure to companies advancing or adopting AI technologies across various industries. It is suitable for investors looking to participate in the long-term growth potential of AI while being comfortable with the associated risks of investing in a highly dynamic technology sector.
Artificial Intelligence is increasingly becoming a foundational technology across industries, offering the potential to improve efficiency, productivity, and innovation at scale. From automating business processes to enabling breakthroughs in data analysis, healthcare, automotive, and cloud computing, AI is transforming how organizations operate and deliver value.
Key factors supporting this theme include advancements in machine learning, the growing availability of big data, increased computing power, and continued investments by leading global companies in AI-driven research and applications. As businesses across sectors adopt AI solutions to drive automation and improve decision-making, the demand for related technologies and services is expected to grow.
The Artificial Intelligence Portfolio offers diversified exposure to this theme by investing in companies across the AI value chain, including hardware manufacturers, cloud and data infrastructure providers, AI software platforms, and businesses integrating AI into their products and services. Companies in this portfolio include AI enablers like NVIDIA, Microsoft, and Amazon, data-focused platforms like Snowflake and Datadog, and enterprises applying AI for operational efficiencies such as Tesla and ServiceNow. This approach allows investors to participate in both the enabling infrastructure and real-world applications of AI technology.
For this portfolio, we have identified the below companies:
| Company | Description |
|---|---|
| Advanced Micro Devices, Inc. (AMD) | This company designs powerful processors and graphics cards that provide the immense computing power required to train and run complex artificial intelligence models. |
| Amazon.com, Inc. (AMZN) | Through its Amazon Web Services (AWS) division, the company is a leading provider of cloud computing infrastructure and AI tools essential for developing and deploying AI applications. |
| Broadcom Inc. (AVGO) | Broadcom supplies critical semiconductor and networking hardware that enables the high-speed data transfer and processing necessary for artificial intelligence data centers and infrastructure. |
| CoreWeave, Inc. (CRWV) | CoreWeave provides specialized cloud infrastructure with a massive fleet of high-performance GPUs, which is specifically designed to train and run large-scale AI models efficiently. |
| Datadog, Inc. (DDOG) | This company offers a monitoring platform for cloud applications, using AI to help organizations observe, troubleshoot, and secure their complex, data-intensive systems in real-time. |
| Alphabet Inc. (GOOGL) | As a pioneer in AI research, Alphabet integrates artificial intelligence across its vast product suite, including its search engine, cloud services, and autonomous driving technology. |
| International Business Machines Corporation (IBM) | A long-standing enterprise leader, IBM offers advanced AI platforms like Watson to help large businesses automate processes, gain insights from data, and deploy AI responsibly. |
| Meta Platforms, Inc. (META) | Meta heavily invests in and utilizes artificial intelligence to power features across its social media apps, develop its metaverse vision, and advance fundamental AI research. |
| Marvell Technology, Inc. (MRVL) | Marvell Technology designs custom data infrastructure semiconductor solutions that are critical for optimizing performance and connectivity within AI data centers and cloud networks. |
| Microsoft Corporation (MSFT) | Through its Azure cloud platform and its partnership with OpenAI, Microsoft provides comprehensive AI services and tools that empower businesses to build advanced artificial intelligence applications. |
| Micron Technology, Inc. (MU) | Micron manufactures high-performance memory and data storage solutions, like high-bandwidth memory (HBM), which are absolutely essential for the speed and power demanded by AI systems. |
| Nebius Group N.V. (NBIS) | Nebius Group delivers high-performance, scalable cloud and data center solutions specifically tailored to power the intensive computational needs of artificial intelligence and machine learning workloads. |
| ServiceNow, Inc. (NOW) | ServiceNow's platform uses artificial intelligence to intelligently automate and streamline digital workflows, improving efficiency and productivity across enterprise operations like IT and customer service. |
| NVIDIA Corporation (NVDA) | NVIDIA designs the industry-leading graphics processing units (GPUs) that have become the essential hardware foundation for training and deploying the most advanced artificial intelligence models. |
| Oracle Corporation (ORCL) | Oracle integrates artificial intelligence and machine learning capabilities directly into its enterprise cloud applications and database services, helping businesses automate tasks and analyze their data. |
| Palo Alto Networks, Inc. (PANW) | As a cybersecurity leader, Palo Alto Networks leverages artificial intelligence to proactively detect and prevent sophisticated cyber threats across networks, clouds, and individual devices. |
| Palantir Technologies Inc. (PLTR) | Palantir builds sophisticated data analytics platforms that use artificial intelligence to help government agencies and large corporations integrate and analyze complex datasets for decision-making. |
| Snowflake Inc. (SNOW) | Snowflake’s cloud data platform allows organizations to manage and analyze huge volumes of data, providing the critical foundation needed for building and training powerful AI models. |
| Tesla, Inc. (TSLA) | Tesla heavily utilizes advanced artificial intelligence for its Full Self-Driving software, which processes vast amounts of real-world video data to enable autonomous vehicle capabilities. |
| Taiwan Semiconductor Manufacturing Company, Limited (TSM) | As the world's largest contract chip manufacturer, this company produces the advanced, powerful semiconductors designed by others that form the backbone of the entire AI industry. |