NVIDIA at the crossroads: Neutral infrastructure or strategic control in the global AI economy?

The case study gives a look at the hard choice that Jensen Huang, founder and chief executive officer of NVIDIA, has to make because NVIDIA’s huge success in the global market for AI chips has brought new rules and politics in 2025 and 2026. NVIDIA’s high-performance graphics processing units or GPUs have been key to both training and running AI systems. Because of that NVIDIA has become a part of the worldwide AI economy and even briefly became the most valuable public company on Earth in June 2024 according to CNBC. This high profile has also exposed NVIDIA to antitrust probes in the United States to strict regulations in China—such as a directive barring state-funded data centers from using foreign AI chips (Reuters, 2025b) and to growing investment by major customers including Google, Amazon, and Microsoft in developing their own AI chips (CNBC, 2025a; CNBC, 2025b; Bloomberg, 2026). The problem Jensen Huang faces is whether to keep NVIDIA seen as a global AI infrastructure provider or to tighten control over who can use NVIDIA’s chips how much they cost and who NVIDIA partners with. This move would risk the trust that has given NVIDIA a lead in the market. This case therefore highlights questions, about platform neutrality, how to manage legitimacy, how to govern stakeholders, and how to position NVIDIA strategically.

Authors

Institutions

Publication Details

Journal
Journal of Information Technology Teaching Cases
Published
2026-09-21
DOI
https://doi.org/10.1177/20438869261491517
Primary Topic
Cybersecurity and Cyber Warfare Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

NVIDIA at the crossroads: Neutral infrastructure or strategic control in the global AI economy?

Kiran Menghani
Journal of Information Technology Teaching Cases
Cybersecurity and Cyber Warfare Studies
article

NVIDIA at the crossroads: Neutral infrastructure or strategic control in the global AI economy?

Kiran Menghani
article en

Abstract

The case study gives a look at the hard choice that Jensen Huang, founder and chief executive officer of NVIDIA, has to make because NVIDIA’s huge success in the global market for AI chips has brought new rules and politics in 2025 and 2026. NVIDIA’s high-performance graphics processing units or GPUs have been key to both training and running AI systems. Because of that NVIDIA has become a part of the worldwide AI economy and even briefly became the most valuable public company on Earth in June 2024 according to CNBC. This high profile has also exposed NVIDIA to antitrust probes in the United States to strict regulations in China—such as a directive barring state-funded data centers from using foreign AI chips (Reuters, 2025b) and to growing investment by major customers including Google, Amazon, and Microsoft in developing their own AI chips (CNBC, 2025a; CNBC, 2025b; Bloomberg, 2026). The problem Jensen Huang faces is whether to keep NVIDIA seen as a global AI infrastructure provider or to tighten control over who can use NVIDIA’s chips how much they cost and who NVIDIA partners with. This move would risk the trust that has given NVIDIA a lead in the market. This case therefore highlights questions, about platform neutrality, how to manage legitimacy, how to govern stakeholders, and how to position NVIDIA strategically.

Journal of Information Technology Teaching Cases
Woxsen School of Business (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 4%
Cybersecurity and Cyber Warfare Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

NVIDIA at the crossroads: Neutral infrastructure or strategic control in the global AI economy? — Kiran Menghani · Journal of Information Technology Teaching Cases (2026) | TGRS Research Map | TGRS