Sunday, September 27, 2026

AI's Short-Term Economic Impact By Prof. Ramesh Srinivasan

Via News Video

March 1, 2024

Ramesh Srinivasan, Professor & Author at ULCA, talks about his experience at the Web Summit, technologies being good for businesses, the future of AI, relevance of their personal data, identifying jobs of the future through AI, future of work, collapse of technologies, asking 3 main questions, entrepreneurship in Africa, advantages of having great policies, the future of AI, what it means to be a human?, overcoming challenges through technologies, predicting climate change through AI, next step for governments, and much more!

Watch the full interview here!

https://youtu.be/nqLypNYQnJo
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What we're seeing
Vertical AI Agents Attract a Funding Wave Across Fintech-Adjacent Industries
A cluster of AI-native startups applying autonomous agents to narrow, operational problems — hotel front-desk staffing (Dextr AI), identity/fraud risk for financial institutions (Baselayer), insurance distribution (Napo, Connie Health, MGT Insurance) — closed seed-to-Series A rounds within days of each other in September 2026, with CB Insights running a coordinated CEO interview series to spotlight them. The pattern points to agentic AI maturing from generic chat tools into vertical, revenue-generating products, with identity verification for AI agents themselves (Baselayer) emerging as a new fintech infrastructure category responding directly to AI-driven fraud risk.
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Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
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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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