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

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

Pharma Pipeline Catalysts and M&A Heat Up as AI-Designed Drugs Enter the Clinic

Late-September 2026 brought a dense run of clinical readouts: Novo Nordisk's CagriSema data at EASD, Lilly's ADtouch results for EBGLYSS, and Merck's tulisokibart Phase 2b result. Lilly's $2.9B Merida Biosciences acquisition and the 2026-11-14 FDA PDUFA date for ivonescimab sit alongside these as the main deal and regulatory events. AI-designed drugs such as rentosertib, and speculative AI-linked trial ventures such as QAIAx, are moving from hype toward clinical validation. Broader AI-sector regulatory and legal friction (Tesla Cybercab probe, xAI Minnesota ruling, OpenAI lawsuits) shows rising scrutiny that could spill into AI-driven healthcare.

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Signals we're tracking

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

Patterns we're watching ›

Where sources disagree

Apple Inc.

The observation date (2025-12-27) precedes Q1 2026, making it logically impossible to have actual Q1 2026 cash data at that point. Q1 2026 would not end until March 31, 2026. Additionally, the magnitude of the difference ($45.3B vs $132.42) is implausibly large even as a normal quarterly change for Apple. While different fiscal periods can show different values, the timing relationship here suggests a data integrity issue rather than legitimate period-over-period variation.

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

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