All the sessions from Transform 2021 are available on-demand now. Watch now.

America has been extremely worried about the loss of manufacturing to China. Seduced by subsidies, cheap labor, lax regulations, and a rigged currency, American industry has made a beeline to China.

But the tide may soon turn.

New technologies will likely cause the same hollowing out of China’s manufacturing industry over the next two decades that the U.S experienced over the past twenty years. That’s right. America is destined to once again gain its supremacy in manufacturing, and it will soon be China’s turn to worry.

China’s largest hi-tech product manufacturer Taiwan-based Foxconn Technology Group, made waves last August when it announced plans to install one million robots within three years to do the work that its workers presently do. These robots will perform repetitive, mechanical tasks to produce the circuit boards that go in many of the world’s most popular consumer gadgets. But even these robots and circuit boards will soon be obsolete.

As my colleague Neil Jacobstein, who co-chairs the Artificial Intelligence (AI) and Robotics program at Singularity University explains, there are three exponentially accelerating technologies—artificial intelligence, robotics, and digital manufacturing—that will reshape the competitive landscape for manufacturing. Specifically, these technologies will make manufacturing more creative, less expensive, more local and more personal.

AI is software that makes computers do things that, if humans did them, we would call them intelligent. This is the technology that IBM’s Deep Blue computer used to beat chess grandmaster Garry Kasparov in 1997, and that enabled IBM’s Watson to beat TV-show Jeopardy champions in 2011. AI is what powers the self-driving car that Google is developing and Apple’s Siri voice-recognition software. As a field, AI is now over 50 years old. People thought AI was dead after all the hype it generated in the ‘80s and failed to deliver. But it is fulfilling its potential now.

AI technologies will find their way into manufacturing and make it “personal,” but the technical challenge is simplifying the design process for products that we want to “manufacture” at home, says Jacobstein. Computer-aided-design companies like Autodesk are actively working to make what they call the Imagine, Design, Create-process much easier for mere mortals to perform. These will empower millions more people to join the ranks of the creator economy, where mass production is replaced by personalized production, and people are empowered to specify new products, design, test, and build them.

There is also robotics. Robots used to be a lot like the computers of the 1960s—extremely expensive, huge, slow, finicky, and difficult to program. However, Jacobstein claims that robots are currently in the midst of a revolution in cost and ease of use not unlike the transition from mainframes to personal computers and smart phones. Ten years ago, people would have laughed at the notion that robot vacuum cleaners like the Roomba from iRobot would be in over 6 million homes.

Washington Post columnist Vivek Wadhwa is a visiting scholar at the School of Information at UC-Berkeley, director of research for the Center for Entrepreneurship and Research Commercialization at the Pratt School of Engineering at Duke University, and senior research associate for the Labor and Worklife Program at Harvard Law School.

Read more on Innovations from the Washington Post:

Copyright 2011, WashingtonPost

Factory image via Shutterstock


VentureBeat's mission is to be a digital town square for technical decision-makers to gain knowledge about transformative technology and transact. Our site delivers essential information on data technologies and strategies to guide you as you lead your organizations. We invite you to become a member of our community, to access:
  • up-to-date information on the subjects of interest to you
  • our newsletters
  • gated thought-leader content and discounted access to our prized events, such as Transform 2021: Learn More
  • networking features, and more
Become a member