At the World Economic Forum in Davos, NVIDIA CEO Jensen Huang delivered a powerful vision of artificial intelligence as the foundation of the largest infrastructure buildout in human history. He described AI not as a single technology, but as a “five-layer cake” — spanning energy, chips and computing hardware, cloud data centers, AI models, and finally, the application layer where real-world impact occurs. Huang emphasized that each layer requires massive investment and skilled labor, driving demand across industries. From power generation and chip fabrication to data center construction and cloud operations, the AI boom is creating jobs in everything from engineering and construction to network maintenance and advanced manufacturing. The application layer, where AI is integrated into sectors like healthcare, finance, and manufacturing, is where the greatest economic value will emerge. Huang pointed to the surge in venture capital — with 2025 marking one of the biggest years on record — as evidence of the shift. Most of this capital is flowing into AI-native startups in healthcare, robotics, and industrial automation, where models have matured enough to serve as a reliable foundation. He challenged the fear that AI will destroy jobs, arguing instead that it is reshaping work by shifting focus from tasks to purpose. In radiology, for example, AI can analyze scans in seconds, allowing radiologists to spend more time with patients and improve care. As a result, the number of radiologists has increased, not decreased. Similarly, in nursing — where the U.S. faces a shortage of nearly five million workers — AI can automate charting and transcription, freeing nurses to focus on patient care. This boosts productivity and leads to more hiring, not fewer. Huang stressed that AI is not about replacing people, but enhancing their ability to fulfill their core purpose. He joked that if someone watched him and BlackRock CEO Larry Fink at work, they might think they were just typing. But AI handles the typing, enabling them to focus on higher-level thinking, strategy, and leadership. AI, Huang argued, should be treated as critical national infrastructure — on par with electricity and roads. Countries must build their own AI capabilities, tailored to local languages and cultures, to ensure long-term competitiveness. He also highlighted AI’s potential to close global technology gaps, especially for developing nations, due to its accessibility and low barrier to entry. For industrialized regions like Europe, Huang saw a unique opportunity. “You don’t write AI — you teach AI,” he said, urging nations to combine their manufacturing strength with AI to drive physical AI and robotics. He called robotics a “once-in-a-generation opportunity.” Fink echoed the sentiment, asking whether the world is investing enough in this transformation. Huang agreed, noting that the scale of infrastructure needed to support AI’s five layers demands massive, sustained investment. With over $100 billion in global venture capital flowing into AI startups in 2025, the momentum is clear. Fink concluded by urging broader participation — especially from pension funds and individual savers — so that the benefits of the AI era are shared widely. “If people are just watching from the sidelines,” he said, “they’ll feel left out.” The future, Huang affirmed, is not a bubble — it’s a historic transformation that everyone should be part of.