| Nvidia almighty |
Data: S&P Capital IQ Pro. Chart: Erin Davis/Axios VisualsNvidia made billions selling AI’s essential ingredient: chips. Now the company is plowing those riches straight back into the AI ecosystem, betting on a buildout that craves ever more compute, Axios’ Madison Mills writes. Why it matters: Nvidia has become the AI industry’s supplier, banker and kingmaker, feeding a self-reinforcing cycle in which chip profits finance the next wave of chip demand. State of play: Already the world’s most valuable company, Nvidia is now worth more than five of the 11 sectors that make up the S&P 500. The chipmaker reported nearly $60 billion in quarterly profit Wednesday, prompting The Kobeissi Letter to call the results “the most impressive earnings in history.” Nvidia believes its reign is far from over, telling investors to expect roughly 70% revenue growth even from today’s extraordinary heights. Zoom out: Nvidia’s vast chip windfall has enabled the company to take on a new role as financial patron of the entire AI industry.Nvidia is involved in more than $750 billion worth of AI investments, financing deals and partnerships, according to PitchBook — a staggering footprint for a company whose core business is still selling chips. That figure does not include this week’s reported $13 billion acquisition of Hugging Face, which would give Nvidia control over one of the industry’s most important model-distribution hubs. CEO Jensen Huang has enlisted Wall Street to mobilize more than $500 billion for AI infrastructure, channeling outside capital toward the data-center buildout that drives more than 90% of Nvidia’s quarterly revenue. Between the lines: The strategy creates a powerful flywheel: The more money Nvidia helps pour into AI, the more compute the industry builds — and the more chips it needs.Reality check: Critics say Nvidia’s flywheel looks uncomfortably circular. The company is helping finance customers and infrastructure projects that then spend heavily on its own hardware, raising questions about how much demand is being supported by Nvidia’s own balance sheet. Huang has dismissed those concerns, telling CNBC Wednesday that Nvidia’s investments will generate “tremendous returns” and that “the risk is low.” Threat level: The cozy relationship between Nvidia and its biggest customers is becoming increasingly competitive. OpenAI, Google, Amazon, Microsoft and others are pouring billions into custom chips designed to reduce their dependence on Nvidia. OpenAI claims its new Jalapeño chip outperforms Nvidia hardware on some workloads. Nvidia, meanwhile, is spending billions developing its own open-source AI models, aiming to become the American champion in a field increasingly dominated by Chinese models. The bottom line: The result is an unusually tangled ecosystem in which Nvidia is simultaneously supplier, investor, partner — and increasingly competitor — to AI’s biggest players.Share this story. |
-
Archives
- August 2026
- July 2026
- June 2026
- May 2026
- April 2026
- March 2026
- February 2026
- January 2026
- December 2025
- November 2025
- October 2025
- September 2025
- August 2025
- July 2025
- June 2025
- May 2025
- April 2025
- March 2025
- February 2025
- January 2025
- December 2024
- November 2024
- October 2024
- September 2024
- August 2024
- July 2024
- June 2024
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023
- October 2023
- September 2023
- August 2023
- July 2023
- June 2023
- May 2023
- April 2023
- March 2023
- February 2023
- January 2023
- December 2022
- November 2022
- October 2022
- September 2022
- August 2022
- July 2022
- June 2022
- May 2022
- April 2022
- March 2022
- February 2022
- January 2022
- September 2021
- August 2021
- July 2021
- June 2021
- May 2021
- April 2021
- February 2021
- January 2021
- December 2020
- November 2020
- October 2020
- September 2020
- August 2020
- July 2020
- June 2020
- May 2020
- April 2020
- March 2020
- February 2020
- January 2020
- December 2019
- November 2019
- October 2019
- September 2019
- August 2019
- July 2019
- June 2019
- May 2019
- April 2019
- March 2019
- February 2019
- January 2019
- December 2018
- November 2018
- October 2018
- September 2018
- July 2018
- June 2018
- May 2018
- April 2018
- March 2018
- February 2018
- January 2018
- December 2017
- November 2017
- October 2017
- September 2017
- August 2017
- July 2017
- June 2017
- May 2017
- April 2017
- March 2017
- February 2017
- January 2017
- December 2016
- November 2016
- October 2016
- September 2016
- August 2016
- July 2016
- June 2016
- May 2016
- April 2016
- March 2016
- February 2016
- January 2016
- December 2015
- November 2015
- October 2015
- September 2015
- August 2015
- July 2015
- June 2015
- March 2015
- January 2015
-
Meta
Data: S&P Capital IQ Pro. Chart: Erin Davis/Axios Visuals
Zoom out: Nvidia’s vast chip windfall has enabled the company to take on a new role as financial patron of the entire AI industry.
Between the lines: The strategy creates a powerful flywheel: The more money Nvidia helps pour into AI, the more compute the industry builds — and the more chips it needs.