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      • Profile photo of Sinchana Adiga

        Sinchana Adiga posted an update

        12 hours ago

        Newsletter

        Digital Storm Newsletter

        The AI race has shifted from “who has the smartest model” to “who controls infrastructure, workflows, and execution.”
        AI is no longer just a tool—it is becoming enterprise-critical infrastructure.

        Big Shifts This Week

        1) Claude: From chatbot to infrastructure

        • Anthropic’s Claude (Mythos) is now:

          • Integrated into security systems (e.g., Microsoft)
          • Monitored by regulators globally
        • It is being treated as a cybersecurity layer, not just an assistant
        • AI is becoming part of operational resilience

        Meaning: AI is entering mission-critical systems

        2) The real AI race: compute + distribution

        • Amazon plans major investment in Anthropic
        • Focus areas:

          • Chips
          • Cloud capacity
          • Energy (compute power)

        Meaning: Winning depends on scaling and infrastructure, not just model quality

        3) Google and OpenAI: execution over chat

        • Google:

          • Prioritizing AI agents through Gemini Enterprise
        • OpenAI:

          • Expanding Codex into full software lifecycle workflows

        Meaning: Monetization is shifting from chat interfaces to embedded execution

        Key Industry Changes

        AI coding is becoming an operating model

        • Around 75% of new code at Google is AI-generated and human-reviewed
        • This represents workflow redesign, not just assistance

        AI introduces new risks

        • Increased security exposure (e.g., third-party access issues)
        • Ongoing legal uncertainty around training data and copyright

        Adoption bottleneck is organizational

        • The main challenge is change management, not technology or data

        Strategic Insight

        A clear adoption pattern is emerging:

        Coding → Agents → Governance → Infrastructure

        Companies still treating AI as a tool-selection problem are already behind.
        The real decision is which workflows to redesign around AI.

        Practical Takeaway

        To implement AI effectively:

        • Focus on workflows that are:

          • Repeatable
          • Reversible
          • Low risk

        Automate these first. Most companies prioritize the wrong workflows.

        • AI is evolving from assistant to decision-maker to infrastructure
        • Success depends on embedding AI into workflows and securing compute capacity
        • Competitive advantage comes from delegating decisions effectively to AI systems

        https://drstorm.substack.com/p/claude-google-openai-the-fight-for?utm_campaign=email-half-post&r=5xcpdm&utm_source=substack&utm_medium=email

        drstorm.substack.com

        Claude, Google, OpenAI: The Fight for Your Enterprise Stack #160

        We are honored to count you among the >590.000 readers of "DIGITAL STORM weekly". Please help grow our community by inviting your friends.

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