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Large Language Models

Sep 10, 2026

Large Language Models

The Gist

AI’s real-world payoff is still muddled: CoreWeave’s CEO admits benefits are poorly explained, while banks like Truist and firms like Hitachi are quietly using AI for tasks from call notes to ESG strategy. Google’s traffic is up 3% despite AI rivals, and Sony’s AI can now generate research hypotheses. The clear takeaway: AI is moving from hype to operational tooling, with data integration as the linchpin for trustworthy deployment.

Today's Stories

  1. 1

    AI benefits poorly explained, CoreWeave CEO says at Goldman conference

    At the Goldman Sachs Communacopia + Technology Conference, CoreWeave CEO Mike Intrator said companies haven't explained AI's benefits well, and Visa CEO Ryan McInerney said consumer distrust is slowing agentic commerce. Public opposition to AI and data centers was prominent, with fears centering on rapid change affecting individuals and children. This distrust could hinder adoption of AI-driven services like agentic payments.

    Whether tech leaders improve public communication about AI benefits. Also watch Anthropic researcher Jacob Coxon's resignation warning that superhuman AI systems "could kill us all by the end of the decade."

  2. 2

    Truist turns to AI for call notes

    Truist, a financial company, is adopting AI to create call notes, according to The Business Journals. This move aims to save costs while preserving jobs, marking a shift from typical cost-cutting measures.

    The outcome hinges on whether AI-generated notes can match human accuracy and efficiency without job losses.

  3. 3

    Google Traffic Up 3% Despite AI Rivals, BofA Says

    Google's global daily visits rose 3% year over year to 2.8 billion in August, per Bank of America, citing Similarweb data. ChatGPT visits fell 5% to 181 million, while Gemini jumped 261%. The data shows AI chatbots are growing fast but not yet denting Google's core search business. Google's mobile daily active users reached 2.3 billion, up 12%, far ahead of ChatGPT's 469 million.

    Bank of America expects investor focus to shift to how quickly ChatGPT's advertising business develops. Watch for updates on ChatGPT's ad rollout and its impact on Google's market share.

  4. 4

    Sony AI's Hakken system generates hypotheses from past literature

    Sony AI provides an update on Hakken, its hypothesis-generation system that uses past literature to point toward future discoveries. Hakken represents an approach where AI assists researchers by mining existing knowledge to suggest new directions, rather than only analyzing current data.

    The value of Hakken hinges on whether hypotheses it generates prove useful in real research settings, which the article does not yet confirm.

  5. 5

    Hitachi uses AI on 154 indicators to guide ESG strategy

    Hitachi's Norio Masuda discussed using AI to analyze past ESG and financial data, deriving optimal actions from 154 indicators, at a forum with Sumitomo Mitsui Trust's Hiroyuki Horii. This shifts ESG from disclosure burden to value creation, addressing six common challenges found in a survey of 31 companies and 13 institutional investors, including storytelling and top commitment.

    Whether Hitachi's approach can truly link intangible ESG investments to financial performance, as the discussion highlighted the need to turn disclosure into corporate value.

  6. 6

    Data integration platforms seen as key to governing AI agents

    The article discusses how enterprises are weighing how much responsibility to delegate to AI agents, suggesting a data integration platform linking internal data and AI should act as the control layer. This reframes governance from policy-level rules to a technical infrastructure role, where the platform becomes the enforcement point for AI agent actions, potentially shifting IT priorities.

    Whether enterprises adopt this platform-centric governance model hinges on their existing data architecture and willingness to centralize control. The article itself offers no vendor examples or timelines.

What to Watch

Watch for shifts in how AI leaders communicate risks and benefits, and whether real-world adoption—from ChatGPT advertising to enterprise governance—proves practical and profitable, rather than just theoretical.

Sources

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