AI Superpowers: China, Silicon Valley and the New World Order
Kai-Fu Lee heads up a $2 billion AI and technology-focused venture fund (Sinovation) and used to lead Microsoft Research in Asia and Google China.
He has written a book AI Superpowers: China, Silicon Valley and the New World Order. He believes that China’s entrepreneurs are using AI to solve real-world problems just like entrepreneurs in the 19th century applied the invention of electricity to practical concerns such as cooking, lighting and the powering of industrial equipment.
This approach helps them avoid weakness in “outside the box” approaches to research and a lack of top-tier researchers, and leverage its most significant strength – “scrappy entrepreneurs with sharp instincts” for building robust businesses.
Kai-Fu Lee segments four analogous inputs: abundant data, hungry entrepreneurs, AI scientists, and an AI-friendly policy environment in four different areas: internet AI, business AI, perception AI, and autonomous AI.
He believes China has caught up the US in Internet AI and perception AI.
Perception AI is digitizing our physical world, learning to recognize our faces, understand our requests, and “see” the world around us. Autonomous AI will have the deepest impact on our lives. As self-driving cars take to the streets, autonomous drones take to the skies, and intelligent robots take over factories, they will transform everything from organic farming to highway driving and fast food.
In internet AI, Chinese and American companies are on about equal footing. In five years, Chinese technology companies will have a slight advantage.
In business AI the U.S. leads by far, but China will close that gap a bit in the next five years. There’s no question that China will lag in the corporate world, but it may lead in public services and industries with the potential to leapfrog outdated systems.
Perception AI is finding its way into more pieces of hardware, the entire home will feed into and operate off of the digitized real-world data. Chinese users’ cultural nonchalance about data privacy give it a clear edge in implementation. Today, China’s edge is slight but in five years’ time China is well likely to lead the U.S. and the rest of the world in perception AI.
Today the U.S. has a big lead in Autonomous AI, but in five years the U.S. and China may equally lead the world in self-driving cars, with China having the edge in hardware-intensive applications such as autonomous drones.
AI and your Job
AI will change the job market dramatically.
It will eliminate thousands of professions, and will impact hundreds of millions of people who work in those job. New jobs will also be created. But which jobs? What markets? Is your job at risk? Certain white-collar professions such as finance will see massive job loss. But others, such as robotics, will grow. Where are there opportunities? Nursing? The arts? Where are there risks? What will the new jobs be?
Here are the types of tasks and jobs that AI is poised to take over in the near future.
- Repetitive labor, especially if their tasks are done in the same or very similar locations (e.g., dishwashing, assembly line inspection, sewing)
- Fixed variants of interactions based on a script (e.g., customer service, telemarketing)
- Relatively simple classification of data, or recognizing of patterns that requires less than a minute of thinking (e.g., filing, grading homework, sorting business cards)
- Work in a very narrow field in a single company (e.g., telesales for your bank’s products, bookkeeping for the same department)
- Jobs that don’t require a lot of face-to-face interaction with people (e.g., sorter, assembler, data entry)
- Companies in many industries investment are investing heavily to develop AI/robots (e.g., autonomous vehicles, AI radiologists), although this type of replacement may take a long time to be pervasive.
- Current AI technology is already well suited to perform these jobs. Some have been deployed, and many are in testing. Actual job displacement may take longer, but if your job fits the above categories, it is not too early to start planning a new career, and start your training.