Agentic Commerce May Boost Meta and Microsoft While Pressuring Booking and Intuit, Joseph Carlson States

Yahoo Finance ·

According to investment analyst Joseph Carlson, the emergence of agentic commerce is poised to create a distinct divergence in corporate fortunes across the technology and digital platform sectors. Industry giants Meta and Microsoft are projected to capture substantial strategic advantages, leveraging this innovative autonomous commerce wave to enhance their market positions. Conversely, established market leaders such as Booking and Intuit could face significant headwinds and negative operational impacts as automated shopping agents reshape consumer behavior and transaction flows. This insightful forecast highlights how the rapid evolution of artificial intelligence driven commerce frameworks will fundamentally alter competitive dynamics, compelling companies to adapt quickly to shifting digital landscapes or risk losing valuable ground to more agile technology ecosystems.

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Joseph Carlson forecasts that the proliferation of agentic commerce will deal a blow to traditional booking platforms and companies like Intuit, while serving as a boon for big tech firms such as Meta and Microsoft. The adoption of these AI-powered autonomous commerce systems is expected to rapidly reshape the landscape of digital advertising and platform ecosystems. Investors should closely monitor changes in the business models of traditional software and reservation services.

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DYAX 전담 분석

Agentic commerce is a technology where AI directly executes transactions and reservations on behalf of users, creating diverging fortunes for companies by bypassing middleman platforms or strengthening proprietary ecosystems. While Booking and Intuit face the risk of weakened commission models, Meta and Microsoft are highly likely to secure new revenue streams through robust platforms and AI infrastructure.

In a bullish scenario, AI platform monetization by big tech will accelerate, whereas in a bearish scenario, user churn and margin compression for traditional platforms will intensify. Moving forward, the speed of AI agent integration and user adoption metrics of relevant companies must be monitored closely.

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