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Today’s AI news underscores a shift from experimentation to operational reality—where interfaces, governance, and trust matter as much as model capability. SAP CEO Christian Klein’s view that voice and intent will replace keyboards signals the arrival of applied, conversational AI at enterprise scale, while parallel advances in autonomous agents raise harder questions about readiness, control, and accountability. IEEE Spectrum’s take is clear: agents are improving fast, but fully autonomous business operations still require better guardrails, memory, and intervention timing. At the same time, AI governance and risk are moving to center stage. Reports on Palantir-powered systems used by ICE and incidents of sensitive data being uploaded to public chatbots highlight how institutional AI adoption often outpaces policy and training. In academia, Nature Machine Intelligence flags a growing “suspicion tax” around generative AI use in publishing—where trust, not capability, is becoming the binding constraint. Research responses are emerging, from StepShield (focusing on when to intervene on rogue agents) to federated, privacy-preserving medical LLM training that balances performance with compliance. On the product and ecosystem front, momentum is clearly agentic and workflow-driven. New launches—from multi-agent systems in Airtable to architecture-design copilots and data-ready APIs—show AI embedding directly into execution layers, not just ideation. Meanwhile, infrastructure players are doubling down: OpenAI is operationalizing in-house data agents, NVIDIA is pushing L4-ready autonomy and physical AI frameworks, and xAI is advancing state-of-the-art video generation via Grok Imagine. The takeaway: the next AI wave is less about bigger models, and more about safer agents, natural interfaces, and disciplined deployment. #ArtificialIntelligence #AgenticAI #EnterpriseAI #AIGovernance #FutureOfWork #VoiceAI #AIAgents #AIInfrastructure #ResponsibleAI #TechPolicy #Productivity / issue-98-sam-ghosh-3qdac https://asthalavista.com/