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Enterprise AI Agent Rollout Outpaces Data Trust and Readiness
Enterprise adoption of agentic AI is accelerating fast — Siemens deepening its NVIDIA partnership for self-verifying agentic AI in chip design, Manulife expanding its Microsoft AI-governance partnership, and a wave of infrastructure launches (NVIDIA GPU-accelerated data processing, Dell exascale storage, new AI chip generations) — even as a new Google Cloud survey shows the underlying data foundation isn't ready: companies have AI access to only 45% of their data on average, data laggards see access fall to 30% or less, and only about half of organizations trust their AI agents' decisions. Meanwhile, insider selling at enterprise-AI bellwether C3.ai (CEO Thomas Siebel offloading $4.8M in shares) hints at investor caution layered under the adoption hype.
Our read on the data ›
Signals we're tracking
Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
Patterns we're watching ›
Where sources disagree
JPMorgan Chase & Co.
Both facts report JPMorgan Chase & Co.'s revenue for the same fiscal period (FY 2025) with the same observation date (2025-12-31), but with different values: $182.447 billion vs. $185 billion. The ~1.4% difference ($2.553 billion) is too large to be explained by rounding alone and represents conflicting data for the identical time period.
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News articleMIT Technology Review

Scaling AI agents with trustworthy data

View original at technologyreview.com
MIT Technology Review - Ai Research Title: Scaling AI agents with trustworthy data Date: 2026-08-12 16:51 Source: https://www.technologyreview.com/2026/08/12/1141032/scaling-ai-agents-with-trustworthy-data/ <p>Business and technology leaders need no convincing that the time of agentic AI is here…
Opening lines of the source · MIT Technology Review · short snapshot — read the full document at the original

What we drew from this source

The claims Via News extracted from this document. We point to the source; we don't replace it.

  • AI agents will augment or automate 50% of business decisions by 2027.

    60% confidence

  • Within two years, 100% of respondents plan to be using agentic AI, with 69% expecting to use it widely.

    60% confidence

  • In organizations categorized as 'data laggards', AI access to company data falls to 30% or less.

    60% confidence

  • Two-thirds of data laggards say legacy data systems limit AI agent scaling (66%) and prevent agents from making decisions at speed (68%), versus just 8% of data leaders reporting either constraint.

    60% confidence

  • Only around half of surveyed organizations trust that the decisions their AI agents make are accurate and relevant, whereas 100% of data leaders trust their agents' decisions.

    60% confidence

  • Across all surveyed organizations, AI only has access to an average of 45% of company data.

    60% confidence

  • A select group of 'data leaders' ensures access to over 70% of their data and has greater success with agents.

    60% confidence

  • The most important initiative to enable scaling among all respondents is improving access to structured and unstructured data for AI agents, followed by enhancing data and AI governance with business context; data leaders are also focusing heavily on automation of data management.

    60% confidence

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