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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.
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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
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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 articleSeeking Alpha· March 1, 2026

Jefferies updates its AI Risk Basket

View original at seekingalpha.com
Jefferies updates its AI Risk Basket [Hand pointing at digital warning icon with AI and data interface, representing system warning alert, cybersecurity threat, data error, and artificial intelligence risk.] Saksit Sangtong The Jefferies AI Risk Basket used to identify potential decliners from the impact of AI, is down…
Opening lines of the source · Seeking Alpha · 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 summaries reduce research value for Gartner

    80% confidence

  • AI reallocates performance ad spend away from Snap

    80% confidence

  • AI agents bypass OTAs for Expedia Group and Booking Holdings

    80% confidence

  • LLM agents replace RPA for UiPath

    80% confidence

  • AI copilots commoditize ticketing for Atlassian

    80% confidence

  • AI agents bypass listings for Zillow Group

    80% confidence

  • AI automates tax preparation for Intuit

    80% confidence

  • AI fears compress allocator fees for StepStone Group

    80% confidence

  • AI commoditizes email personalization for Klaviyo

    80% confidence

  • AI replicates data and cuts pricing for CoStar Group

    80% confidence

  • AI copilots reduce seat pricing for Workday

    80% confidence

  • The starting point is the sub-industries that could be impacted by various disruption vectors. We then combine this with stock-level returns and run it through a series of pre-trained prompts to obtain the stock-specific potential risk and disruption vector

    80% confidence

  • AI automates delivery labor for EPAM Systems

    80% confidence

  • AI fears compress private equity fees and multiples for alternative asset managers

    80% confidence

  • Ironically, we use an AI-assisted search algorithm to identify our AI-risk basket

    80% confidence

  • AI agents bypass CRM workflows for Salesforce

    80% confidence

  • AI content lowers switching costs for Unity Software

    80% confidence

  • Generative tools commoditize design for Adobe

    80% confidence

Cited in these Via News reports