Trends

Artificial intelligence

Models, data and infrastructure are changing how software, content and analysis are produced.

Phase: MonetizationEvidence: StrongEditorial review: September 6, 2026

What is changing

AI is moving cognitive tasks into systems that write, summarize, code, classify and assist decisions.

The AI Index documents expanding adoption, investment and infrastructure. Monetization needs verification at product and company level.

Limits of the evidence: Reported usage and benchmark results do not establish productivity or sustainable profits.

Chips, data centers, power, models, data, application software, integrators and enterprise users.

Value may accrue to infrastructure, dominant platforms, vertical software or companies that lift margins through automation.

13F · Q2 2026 · positions as of 30 June · delayed data

Editorial connection based on economic activity. A disclosed holding does not establish the manager's thesis.

Educational examples, not recommendations. Review holdings, costs, concentration and availability before studying a vehicle.

AIQ · Global X Artificial Intelligence & Technology ETF
Thematic ETF
Thematic ETF for observing companies tied to artificial intelligence, big data and technology infrastructure.
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BOTZ · Global X Robotics & Artificial Intelligence ETF
Thematic ETF
Thematic ETF for contrasting robotics, automation and applied AI exposure.
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XLK · Technology Select Sector SPDR Fund
Sector ETF
Sector context for comparing the hypothesis against broad technology.
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QQQ · Invesco QQQ Trust
Broad index
Broad growth reference for studying concentration and valuation.
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Productivity could expand if companies turn AI into savings, new products or better processes.

Some value may already be priced in and concentrated among a small group of providers.

The hypothesis fails if real usage does not improve margins, regulation raises deployment costs, or competition commoditizes the technology.