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In 2024, while many investors were excited about artificial intelligence, not all stocks thrived. Companies like Nvidia and Broadcom saw success, but others faced challenges that led to stock declines. Short-term market reactions to setbacks overshadowed the long-term potential of AI for these companies.
Three companies, ASML Holdings, MongoDB, and On Semiconductor, are highlighted as laggards in 2024 but are expected to rebound in 2025. ASML's monopoly on EUV lithography tools is crucial for AI chip production, while MongoDB's innovative database architecture is essential for AI applications. On Semiconductor is positioned to benefit from the growing demand for silicon carbide chips in AI data centers and electric vehicles.
• ASML's EUV technology is vital for AI semiconductor production.
• MongoDB's document architecture enhances data organization for AI applications.
• On Semiconductor's silicon carbide chips are crucial for AI data centers.
EUV lithography is essential for producing advanced AI semiconductors, enabling higher efficiency in chip manufacturing.
Document architecture allows for more intuitive organization of unstructured data, which is critical for AI applications.
Silicon carbide is a material used in power chips, crucial for AI data centers and electric vehicles.
ASML provides EUV lithography tools, which are indispensable for the production of AI semiconductors.
MongoDB's document databases facilitate the storage and retrieval of data necessary for AI applications.
On Semiconductor produces silicon carbide chips, which are increasingly used in AI data centers.
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