Speaking at Gartner's IT Symposium, Nvidia CEO Jensen Huang warned business technology leaders that embracing AI is crucial for survival, emphasizing its transformative impact on chip design, software, and supply chain operations.
AI-Powered Organizations: The Future of Business
In order to be ready for what he terms a "new industrial revolution," Nvidia CEO Jensen Huang warned thousands of business technology leaders that their companies must transform into AI-powered organizations.
At Tuesday's IT Symposium/Xpo event in Orlando, held by market research and consulting firm Gartner, Huang made the argument that all CEOs and CIOs need to do is start using AI, and everything else will fall into place.
Nvidia's AI Strategy: From Chip Design to Supply Chain
According to Huang, the Santa Clara, California-based semiconductor behemoth has already implemented this mentality, using AI for tasks like chip design, software development, and supply chain management.
At the event, Huang told The Wall Street Journal that chief information officers should look for something their company is already doing well and see if artificial intelligence can improve it. He spoke about how those three categories "move the needle most profoundly" for Nvidia. "When it’s our most impactful work, it’s easiest to get energy around it."
The Creation of Nvidia's "AI Brain"
Gartner fellow, distinguished VP, and chief of research Daryl Plummer conducted the live interview with Huang.
Nvidia is developing its own "AI brain," as Huang puts it, for the distant future. What this means is that businesses should gather information about their operations, consumer interactions, and business processes and then give it to AI. One day, CEOs and CIOs "can just talk to" AIs built from this data, according to Huang.
According to Huang, "everybody should do that" after learning that Nvidia has begun transforming all of its private data into an AI.
Overcoming AI's Data Challenges
According to Huang, the company is launching a solution to help AI better interpret and process PDF files in order to achieve this goal. Conventional AI has generally struggled to parse "unstructured data" such as PDFs and emails.
Huang added that this will eventually lead to "large populations of digital workers," or AI agents, working side by side with humans in departments like sales, marketing, engineering, and supply chain. Getting there will need everyone to master the art of AI instruction, even company tech executives.
Nvidia's Partnerships in the AI Space
According to Huang, Nvidia is collaborating with SAP and ServiceNow to "put agents into their system," and the company has also collaborated with Accenture to develop an agent platform suitable for usage in private data centers.
"You’re still going to be doing programming," he stressed. "But you will be programming some kind of a structured way of communicating with AIs."
AI-Assisted Chip and Software Development
Nvidia currently employs AIs to assist in chip design and software development. These individuals are "basically AI chip designers" and "AI software engineers," according to Huang's interview with the Journal.
Adding, "Nowhere in the foreseeable future do we expect AI to be able to do what our employees can," Huang continued.
Expanding Nvidia's AI Chips Beyond Cloud Platforms
Huang announced onstage that the company's chips are available in data centers and private cloud platforms, not only cloud platforms offered by other vendors. This is good news for chief information officers (CIOs), who are currently responsible for managing expectations around the commercial value of artificial intelligence (AI) while still pushing its limitations.
According to Huang, "Today's computing is done everywhere" during the interview with the Journal. "Accelerated computing will be everywhere, AI will be everywhere."


Oracle Stock Surges After Hours on TikTok Deal Optimism and OpenAI Fundraising Buzz
iRobot Files for Chapter 11 Bankruptcy Amid Rising Competition and Tariff Pressures
Oracle Stock Slides After Blue Owl Exit Report, Company Says Michigan Data Center Talks Remain on Track
Republicans Raise National Security Concerns Over Intel’s Testing of China-Linked Chipmaking Tools
SpaceX Insider Share Sale Values Company Near $800 Billion Amid IPO Speculation
Trump Signs Executive Order to Establish National AI Regulation Standard
Union-Aligned Investors Question Amazon, Walmart and Alphabet on Trump Immigration Policies
MetaX IPO Soars as China’s AI Chip Stocks Ignite Investor Frenzy
Delta Air Lines President Glen Hauenstein to Retire, Leaving Legacy of Premium Strategy
SoftBank Shares Slide as Oracle’s AI Spending Plans Fuel Market Jitters
Nvidia Weighs Expanding H200 AI Chip Production as China Demand Surges
Trump Administration Reviews Nvidia H200 Chip Sales to China, Marking Major Shift in U.S. AI Export Policy
Toyota to Sell U.S.-Made Camry, Highlander, and Tundra in Japan From 2026 to Ease Trade Tensions
Shell M&A Chief Exits After BP Takeover Proposal Rejected
Moore Threads Stock Slides After Risk Warning Despite 600% Surge Since IPO
OpenAI Explores Massive Funding Round at $750 Billion Valuation
Citi Appoints Ryan Ellis as Head of Markets Sales for Australia and New Zealand 



