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Agentic AI in Asset Management Is Not Just Faster Automation—it Rewrites Oversight

Asset managers are starting to use AI that does not just assist analysts but can set goals, adapt strategy as markets move, and execute trades without waiting for human approval. That changes the real issue from productivity alone to governance, infrastructure, and accountability: once investment decisions become autonomous and continuously learning, firms need different controls,…

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If the Pilot Cuts Teacher Workload, ATL Saathi Could Change How India’s Tinkering Labs Actually Operate

Google DeepMind and India’s Atal Innovation Mission have launched ATL Saathi as a teacher-facing AI assistant for Atal Tinkering Labs, not as a chatbot for students. That distinction matters because the 100-school pilot is testing a specific deployment thesis: whether Gemini-based support can turn scattered training material and ad hoc project guidance into a practical…

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AI Coding Help vs. AI Hiring Signal: Why Technical Interviews Are Shifting to AI Collaboration Tests

Technical interview AI tools are no longer just about helping candidates solve coding questions faster. The material shift going into 2026 is that employers are starting to treat AI collaboration itself as a hiring signal: can a candidate scope a problem, prompt an assistant well, review generated code, and explain the trade-offs. “AI interview tools”…

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If Deutsche Telekom Can Turn Sovereign Infrastructure Into Products, Its AI Push Becomes More Than a Telecom Upgrade

Deutsche Telekom’s AI strategy is not mainly about adding assistant features to phones or customer service. The material shift is that it is pushing AI into the network layer, internal operations, and sovereign cloud infrastructure at the same time, which would move it closer to being a European AI platform operator rather than a conventional…

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Codex Is Not Replacing Finance Reporting Systems; It Is Taking Over the Manual Drafting and QA Around Them

Codex is finding a place in finance teams not as an autonomous reporting stack, but as an assistant layered onto existing spreadsheets, dashboards, and collaboration tools. Its practical value is narrower and more concrete: drafting monthly business review narratives, cleaning up models, and building variance bridges from data teams already maintain, while leaving review, sign-off,…

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