Liontrust : Tech giants to keep growing | Money Marketing **Here are some title options:** * **Liontrust’s Tech Growth

Artistic representation for Liontrust : Tech giants to keep growing | Money Marketing **Here are some title options:** * **Liontrust's Tech Growth

Are there opportunities for growth in the portfolio? Absolutely. This is a time for investors to be discerning, to be thoughtful, and to be patient. This is not a time for panic, but a time for strategic thinking.

* AI is becoming increasingly important in Instagram’s content recommendations. * Meta’s AI advantage+ tools are helping advertisers achieve higher ROI. * This has led to a significant increase in advertising revenues. **Detailed Text:**

The digital landscape is constantly evolving, and social media platforms are at the forefront of this change. Instagram, a platform known for its visual storytelling, is no exception. A significant shift is underway, with AI playing an increasingly crucial role in shaping the content users see.

* **Magnificent Seven:** A group of seven high-quality companies with strong secular growth potential. * **Amphenol:** A global leader in high-speed interconnects, driving growth in data centers, cloud computing, and 5G networks. * **Secular Growth:** Long-term, consistent growth driven by underlying market forces, not just cyclical fluctuations.

* Microsoft is rapidly expanding its data center footprint. * The company is building massive GPU clusters, which are essential for AI and machine learning. * The scale of these GPU clusters is significantly underestimated. * Companies are aggressively investing in GPU clusters, with ambitious targets for the future. **Detailed Text:**

Microsoft’s commitment to data center expansion is a testament to its ambitious vision for the future of computing.

Here’s a breakdown of how hyperscalers’ investments in AI infrastructure are beneficial to AI leaders:

**1. Access to Massive Datasets:** Hyperscalers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) have access to vast amounts of data through their cloud infrastructure. This data is often collected from various sources, including user activity, sensor data, and public datasets. This massive data pool is crucial for training and improving AI models. **2. Scalability and Flexibility:** Hyperscalers offer scalable and flexible infrastructure that allows AI leaders to easily scale their AI workloads.

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