By Hamiz Mushtaq Awan
This blog post is the fourth in a four-part series on AI Investment Themes. The previous posts explored Core AI, AI Hardware, and AI Infrastructure. In this final post, we delve into Applied AI, examining which aspects of AI today represent groundbreaking shifts and which are extensions of existing, long-term research.
In my analysis, I categorize the main AI investment themes into four distinct yet interconnected categories:
“The technologies in this Hype Cycle are at an early or embryonic stage,” says Gartner Distinguished VP Analyst Arun Chandrasekaran. “Great uncertainty exists about how they will evolve, so there are greater risks for deployment, but potentially greater benefits for early adopters.”
In the final part of our exploration of AI investment themes, we focus on Applied AI. This theme is crucial as it represents the direct application of AI in solving real-world problems across various industries, making it a particularly compelling investment theme to me.
Applied AI is the practical implementation of AI technology in diverse sectors. It involves leveraging AI to enhance healthcare diagnostics, financial forecasting, retail experiences, and manufacturing processes, among others. This theme is about turning AI potential into tangible solutions:
Applied AI offers a direct route to market impact and growth, with its practical applications seeing faster adoption and scalability. This theme bridges the gap between AI innovation and market viability, presenting a blend of immediate applicability and long-term growth potential.
Applied AI stands out in the AI investment landscape, offering a unique blend of innovative technology and market-ready solutions.
As we conclude this series on AI Investment Themes, Plutus21 Partners will continue to guide you through the dynamic world of AI and technology investments, focusing on areas with the highest potential for impact and growth. Stay tuned for more insights into the ever-evolving landscape of AI and its applications in the real world.
Explore the previous posts in our four-part series, covering Core AI, AI Hardware, and AI Infrastructure, to gain a comprehensive understanding of the current AI landscape and its investment opportunities.
