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Schedule

Stanford Root

Schedule

STRAMGT 547

Riding the AI Wave in Developing Economies

UNITS:2
GRADING:GSB Student Option LTR/PF
LEVEL:Graduate
GER:—

Today, AI-enabled ventures are reaching small businesses, a growing middle class, and the base of the pyramid across Latin America, Africa, and Southeast Asia. Much of this progress rides on a familiar interface: messaging - millions first came online through WhatsApp, so conversational AI feels instantly intuitive. Yet turning an idea into a durable company demands relentless localization, a sober view of where AI truly adds leverage, and flawless execution in markets with shallow talent pipelines, scarce capital, and fluid regulatory environments. The next frontier is agentic AI - systems that don't just answer questions but act autonomously on behalf of users and businesses. In developing economies this shift is especially consequential: vast pools of structured data sit trapped in legacy systems, and the companies that unlock them gain an immediate moat. Winning requires understanding not just the technology, but the ecosystems, capital structures, and local conditions that determine whether agentic AI creates durable value - or remains an unfulfilled promise.

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

1 Term
Case Study 1Open
ID: 1129
0 / 70 enrolled
DAYS:Monday, Thursday
TIME:2:50 PM – 5:50 PM
LOCATION:GSB Gunn 102
INSTRUCTOR:
Antoni, Federico
2units

STRAMGT 547: Riding the AI Wave in Developing Economies

2 units · GSB Student Option LTR/PF

Today, AI-enabled ventures are reaching small businesses, a growing middle class, and the base of the pyramid across Latin America, Africa, and Southeast Asia. Much of this progress rides on a familiar interface: messaging - millions first came online through WhatsApp, so conversational AI feels instantly intuitive. Yet turning an idea into a durable company demands relentless localization, a sober view of where AI truly adds leverage, and flawless execution in markets with shallow talent pipelines, scarce capital, and fluid regulatory environments. The next frontier is agentic AI - systems that don't just answer questions but act autonomously on behalf of users and businesses. In developing economies this shift is especially consequential: vast pools of structured data sit trapped in legacy systems, and the companies that unlock them gain an immediate moat. Winning requires understanding not just the technology, but the ecosystems, capital structures, and local conditions that determine whether agentic AI creates durable value - or remains an unfulfilled promise.

Offered in Autumn 2026 at Stanford University.

Autumn 2026 sections

  • Case Study — Monday Thursday 2:50 PM – 5:50 PM — GSB Gunn 102 — Antoni, Federico (Graduate)

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