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

Enterprise Software Races to Govern and Consolidate Around Agentic AI

Enterprise software vendors are repositioning around autonomous AI agents. Salesforce is acquiring Braze, ServiceNow is launching agent governance tools (AI Passport, Super Intelligence Control Tower), SAP is pushing its 'Autonomous Enterprise', and Zeta is launching AthenaOS and its own inference model. Palantir is embedding itself in banking, aviation and sovereign AI infrastructure through partnerships with Customers Bank, Surf Air, Ondas and Armada. Governance, data sovereignty and enforced policy are emerging as preconditions for regulated sectors like finance. Investors such as Norwest see room to disrupt ERP and finance software, and they caution that AI should not be trusted with financial calculations. Consolidation and shareholder disputes (Salesforce/Braze, Tiny/Oso Cloud, ZenaTech/Boardwalktech) show the market reshaping.

Our read on the data ›

Signals we're tracking

EPKINLY Regulatory-Clinical Success Cascade

High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.

Patterns we're watching ›

Where sources disagree

Ford Motor Company

Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.

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

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