Goldman Sachs Flags Two Sectors as Top AI Investment Plays
One structural shift highlighted in the analysis is the transition from copper cabling to fiber optics inside next-generation servers.
Quick overview
- Goldman Sachs identifies two emerging growth areas in the AI ecosystem beyond the 'Magnificent Seven'.
- The first area is fiber-optic connectivity for next-generation servers and data centers, which offers advantages in bandwidth and energy efficiency.
- The second area focuses on data security software, driven by the need for reliable datasets and advanced identity frameworks for AI models.
- These sectors are seen as strategic investment opportunities as AI technology continues to evolve.
The investment bank highlighted two areas outside the “Magnificent Seven” as potential new growth engines within the AI ecosystem.
Amid sustained growth in investment in artificial intelligence (AI), Goldman Sachs outlined several sectors that could represent compelling investment opportunities beyond the so-called “Magnificent Seven” — Nvidia, Microsoft, Apple, Alphabet, Amazon, Meta Platforms, and Tesla.
While these companies continue to capture most of the market’s attention, Goldman’s report identifies two emerging areas that could become new pillars within the broader AI infrastructure landscape:
- Fiber-optic connectivity for next-generation servers and data centers, and
- Software linked to data management and security.
Two AI investment themes, according to Goldman Sachs
One structural shift highlighted in the analysis is the transition from copper cabling to fiber optics inside next-generation servers and data centers. The move is driven by fiber’s advantages in bandwidth, energy efficiency, density, and signal integrity.
These characteristics are critical for handling the massive data transfers required by AI workloads and cloud computing. Compared with copper, fiber optics offer higher speed, longer transmission distances, lower energy consumption, and less interference, enabling more compact, scalable, and efficient infrastructure.
The second sector identified in the report is data security software. Goldman notes that AI — particularly agentic AI, which focuses on autonomous decision-making and action to achieve complex objectives — is reshaping critical components of software architecture in this field.
The study shows that companies are making significant investments in data cleaning, the creation of reliable datasets, and advanced identity frameworks for training AI models. These layers are increasingly becoming essential building blocks for enabling advanced AI capabilities, positioning them as strategic investment opportunities within the next phase of AI development.
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