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News articleAI Now Institute

Multilateralism

View original at ainowinstitute.org
AI Now Institute - Ai Policy Title: Multilateralism Date: 2026-02-12 14:42 Source: https://ainowinstitute.org/publications/multilateralism <div class="wp-block-buttons has-custom-font-size has-medium-font-size is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-51c3bbf5 wp-block-buttons-is-…
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What we drew from this source

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  • Meta focuses policy agenda on open-weight LLMs while avoiding questions about algorithmic harms on social media platforms like WhatsApp

    80% confidence

  • Corporate partnerships may become unsustainable in the long run as AI model usage scales and costs increase

    80% confidence

  • Meta has influenced how governments regulate AI by pushing for data privacy rules to be weakened against Big Tech

    80% confidence

  • Big Tech companies like Meta, Google, Anthropic, OpenAI, and Hugging Face are always present in policy spaces

    80% confidence

  • Big Tech companies see the Majority World as both a new market to increase revenues and as a source of data to train models

    80% confidence

  • The India AI Impact Summit should shift narrative towards feasible solutions away from grand ideas that may not be implemented

    80% confidence

  • African governments and Global Majority countries need to be intentional about pursuing feasible AI goals rather than lofty objectives

    80% confidence

  • AI Incident databases don't provide much context on issues outside the US, UK, EU, and other Western countries

    80% confidence

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Enterprise software is shifting toward autonomous, AI-agent-driven products. SAP (Autonomous Enterprise, Joule), Meta (a new Enterprise Platform led by ex-MongoDB CEO Chirantan Desai) and UiPath (raised guidance) are pushing from the top. Meanwhile AI-security and governance startups are being acquired (Fortinet–Virtue AI, Harvey–Guardrails AI, Tiny–Oso Cloud) and seed-stage agent companies keep raising capital (Dextr, Latitude, Groq). Investors such as Norwest's Sean Jacobsohn see finance and ERP back-office software as the easier area to disrupt. Trust and enforced governance are treated as preconditions for regulated sectors like finance, and AI is judged unreliable for calculations.
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EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
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ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
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