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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…
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  • 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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Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
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