AI Agent Infrastructure Index

Overview

The AI Agent Infrastructure Index is a rules-based equity index designed to provide targeted exposure to companies enabling the deployment, operation, and scaling of autonomous AI agents across the global economy.

As artificial intelligence evolves beyond chatbots into intelligent software capable of performing real-world tasks, a new layer of digital infrastructure is emerging. The index seeks to capture the companies providing the software platforms, workflow systems, security solutions, data infrastructure, and enterprise applications powering this transformation.

Objective

The index seeks to track the performance of publicly listed companies whose products and services are directly tied to the development, deployment, orchestration, and operation of AI agents.
The index focuses on businesses positioned to benefit from the growing adoption of autonomous software systems across enterprise, consumer, and digital commerce applications.

The Problem with Existing Strategies

Many existing "AI" ETFs primarily focus on:

• Semiconductor manufacturers
• Cloud infrastructure providers
• Broad technology conglomerates

While these companies play an important role in artificial intelligence, they often provide indirect exposure to the infrastructure layer where AI agents operate.

As a result, investors seeking targeted exposure to the software ecosystem enabling autonomous digital workers may find limited representation in traditional AI-focused products.

The Solution

The AI Agent Infrastructure Index applies a transparent, rules-based methodology to identify companies with direct and measurable exposure to the infrastructure enabling AI agents.

Key features include:

• Revenue-based eligibility thresholds
• Explicit qualification requirements tied to AI agent enablement
• Exposure to enterprise software, workflow automation, identity management, cybersecurity, collaboration platforms, and digital infrastructure providers
• Strict exclusion of companies without clearly identifiable AI agent relevance

Index Construction Highlights

• Eligibility: Companies must meet defined business exposure thresholds tied to AI agent infrastructure, orchestration, automation, workflow management, software platforms, cybersecurity, or related enabling technologies.
• Classification: Companies are categorized based on level of exposure (Primary vs. Secondary).
• Weighting: Tiered weighting approach with caps designed to emphasize companies most directly exposed to AI agent infrastructure.
• Rebalancing: Quarterly.
• Reconstitution: Semi-annual.

Differentiation

The index is designed to deliver:

• Higher purity exposure to AI agent infrastructure
• Reduced overlap with semiconductor-heavy AI strategies
• Exposure to the software layer where autonomous agents operate
• Transparent and repeatable rules-based construction
• Diversified access across enterprise software, workflow automation, cybersecurity, cloud applications, and digital infrastructure

Use Case

The index is designed to serve as the underlying benchmark for:

• Exchange-traded funds (ETFs)
• Institutional investment products
• Thematic mandates focused on AI software infrastructure
• Strategies seeking exposure to the growth of autonomous digital workers and AI agents

Availability