From Jensen Huang (Nvidia) to Cristiano Amon (Qualcomm), a new generation of technology leaders is using Edge AI and Digital Twins to build the intellingent infrastructure of a faster, more human-centered economy.
NEW YORK, UNITED STATES – AUGUST 15: People visit Beyond the Light Exhibition, curated with visuals obtained from the James Webb Space Telescope, in New York, United States on August 15, 2023. Artechouse Gallery collaborated with NASA to bring the data NASA collects about universe with creative technology. The exhibition was built using cutting-edge technology, such as AI-assisted visual creation, an original musical score composed from galactic data, and visuals from the James Webb Space Telescope. (Photo by Fatih Aktas/Anadolu Agency via Getty Images)
Anadolu Agency via Getty Images
Walking the floors of the Consumer Electronics Show (CES) this year felt less like attending a technology exhibition and more like witnessing the early formation of a new industrial era. So much has happened within the world of technology since I wrote about AI, almost two years ago to the day. The pace of innovation was overwhelming, but the most important takeaway was not any single product or platform. What emerged was a new class of corporate leaders—modern industrialists—using artificial intelligence, Edge computing, and Digital Twins to reshape the global economy. What is emerging is not another tech cycle, but a structural transformation comparable in scope to the Industrial Revolution.
History offers a useful comparison. The Industrial Revolution was driven by leaders such as James Watt, Andrew Carnegie, John D. Rockefeller, and Thomas Edison. They did not simply invent technologies; they built systems. Steam power, railroads, electricity, and mass production reorganized industries, labor, and commerce. Today’s transformation is comparable in scale, but its raw materials are different: data, intelligence, and virtualized environments.
At CES, this next generation of industrialists was clearly visible. Siemens CEO Roland Busch demonstrated how Digital Twins—when combined with AI—are evolving from engineering tools into enterprise-wide decision engines. These intelligent, virtual replicas allow organizations to simulate outcomes, predict failures, and optimize performance across manufacturing, infrastructure, energy, and transportation. What once required years of physical iteration can now be modeled in real time.
Computing Power Acceleration: Moore’s Law exponential growth of relative transistor count 1970-2020+
Author: Phil Kafarakis
This transformation is being powered by an unprecedented acceleration in computing capability. (See Chart 1: Moore’s Law.) Moore’s Law illustrates the exponential growth of computing power over decades—a compounding curve that explains why so many breakthroughs are converging at once. Leaders such as Jensen Huang of NVIDIA and Dr. Lisa Su of AMD are not simply riding this wave; they are enabling it. NVIDIA’s accelerated computing platforms have become foundational infrastructure for AI, much as steel underpinned railroads and skyscrapers. AMD’s focus on high-performance, energy-efficient architectures ensures that this intelligence can scale sustainably.
The share of AI computing workloads as they shift from the centralized Cloud to Edge 2010-2024
Author: Phil Kafarakis
However, computing power alone does not drive transformation. Where intelligence is deployed matters just as much. A defining theme at CES was the shift from centralized cloud computing to intelligence operating at the Edge—where decisions actually occur. (See Chart 2: Shift From Centralized Cloud To Edge And Distributed Intelligence.) This structural change mirrors how mechanization once moved production closer to energy sources, unlocking speed, efficiency, and resilience.
Qualcomm Preident and CEO Cristiano Amon has been a leading force behind this shift, enabling AI to operate directly within factories, vehicles, retail environments, and connected devices. Lenovo Chairman and CEO Yuanqing Yang reinforced this vision, positioning AI-enabled devices as intelligent endpoints in a globally distributed ecosystem. Together, these leaders are decentralizing intelligence and embedding it into the fabric of everyday operations.
Satya Nadella’s Microsoft frames this moment as a platform transformation rather than a technology cycle. Through cloud-edge integration, enterprise governance, and AI copilots, Microsoft is redefining productivity much as electrification once redefined industrial output. At the center of this movement is OpenAI, led by Sam Altman, whose generative AI models represent a general-purpose capability—comparable to the steam engine or electric motor—that can amplify nearly every form of knowledge work.
No modern industrial narrative would be complete without Elon Musk, whose ventures span autonomous systems, space infrastructure, energy storage, and neural interfaces. His work continues to blur the boundary between physical and digital systems. Sundar Pichai’s Google is industrializing AI at planetary scale, embedding intelligence across search, productivity, and global information flows. Tim Cook’s Apple represents a different but equally important leadership model—integrating advanced intelligence into daily life with a strong emphasis on privacy, design, and trust. Mark Zuckerberg’s Meta is advancing immersive, AI-driven environments that could redefine communication and commerce.
There is, however, a critical distinction between this era and the first Industrial Revolution. Earlier industrial transformations prioritized speed and scale, often at significant social cost. Today’s technology leaders appear far more aware of their responsibility. At CES, discussions around ethics, workforce transition, sustainability, transparency, and governance were central—not peripheral. These modern industrialists understand that intelligence embedded everywhere must be guided wisely everywhere.
We may ultimately describe this period as the birth of the Intelligent Infrastructure Age. As Moore’s Law continues to compound and intelligence moves decisively to the Edge, AI and Digital Twins are becoming foundational layers of the global economy. Standing at CES, one truth was unmistakable: this is not a future trend. A new world is already being built—by a new generation of industrialists redefining what progress looks like in the age of intelligent systems.
Source: https://www.forbes.com/sites/philkafarakis/2026/01/26/from-steam-to-silicon-edge-ai-and-the-birth-of-an-intelligent-economy/
