• ECI Partners published an analysis on how data and information services groups can defend pricing power in an AI-first market.
• It urged operators to shift investment toward proprietary, hard-to-replicate data, arguing generic datasets face rapid commoditization from AI reasoning.
• It flagged pricing disruption from AI products, citing growing use-based models, lower-priced conversational tiers, and premium pricing for unstructured data feeds.
• It highlighted rising disintermediation risk as datasets move into third-party LLMs, raising brand dilution and hallucination exposure without attribution or governance.
• It said competitive advantage is moving to AI-native rebuilds of data pipelines, enabling faster model swaps, lower manual workload, and more workflow-integrated products.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. ECI Partners LLP published the original content used to generate this news brief on October 13, 2026, and is solely responsible for the information contained therein.