AI Sectors Performance

Gauge AI sector & HSTECH Constituents momentum at a glance.

HSTECH Constituents Performance Comparison​

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HSTECH Index Trend

HSTECH HSI HSCE
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HSTECH Constituent Warrants Screener

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Most Active HSTECH Constituents

Track popular new economy stocks and gain insight into market flow trends.​

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*Turnover Ratio Calculation Methodology: Underlying Turnover/Sum of Top 10 Active HSTECH Members Turnover

Rank Underlying Turnover Ratio Underlying Momentum

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Introduction to AI Investing

Understand AI fundamentals, industry developments and applications ​

The AI ecosystem can be broadly grouped into three key areas:

  1. Infrastructure – The foundation that powers AI, including chips, data centres and cloud services.
  2. Intelligent Devices & Robotics – Products such as smart vehicles, humanoid robots and connected devices that apply AI technologies in everyday use.
  3. Platforms & Applications – AI-powered software and solutions, from large language models and content platforms to healthcare and financial services applications.

AI is reshaping traditional industries by improving efficiency, optimising operations and enabling smarter decision-making. As adoption expands, AI has the potential to drive productivity gains, support innovation and create new avenues for long-term growth.

While AI-related companies may benefit from long-term growth as AI adoption expands, investors should also be mindful of risks such as technological disruption, regulatory changes, elevated valuations and increasing competition within the sector.

AI infrastructure represents the foundational technologies that power the AI ecosystem. It includes semiconductors, cloud computing platforms, data centers and network infrastructure that enable AI models to be trained, deployed and scaled across industries.

AI robots combine intelligent software with advanced hardware to perform tasks autonomously or with minimal human intervention. As adoption expands across industries such as manufacturing, logistics, healthcare and consumer services, AI robotics is becoming an important area of innovation within the broader AI ecosystem.

AI foundation models form the backbone of many modern AI applications. Trained on vast datasets, they can process and generate content across a variety of formats. As adoption expands, these models are enabling businesses to improve productivity and customer engagement, while providing consumers with more intelligent and personalized digital experiences.

AI is transforming healthcare through applications such as medical imaging, disease screening, drug discovery, personalised medicine and remote health monitoring, helping improve efficiency and patient outcomes.

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