is an intellectual property attorney at Schwabe, Williamson & Wyatt.. He works with hardware, software, Internet and e-commerce businesses from Fortune 100 multinationals to emerging companies, both domestic and overseas. Clients count on him for seasoned advice on patent prosecution as well as global innovation protection and cross-border technology transactions. In more than 25 years of legal practice, Al has counseled clients on overall IP strategy, portfolio development, freedom to operate, design around options, infringement exposure, validity of third party IP, licensing and enforcement.
For more information or to contact Al please visit his Firm Profile Page.
Much has been written about how artificial intelligence (AI) and machine learning (ML) are about to transform the global productivity, working patterns and lifestyles and create enormous wealth. Gartner projects that by 2021, AI augmentation will create $2.9 trillion of business value and $6.2 billion hours of worker productivity globally. McKinsey forecasts AI potentially could deliver additional economic output of around $13 trillion by 2030, boosting global GDP by about 1.2 percent a year. Companies around the globe are all racing to adopt and innovate AI and ML technologies. Indeed, by any account, much progress has been made and the adoption and innovation rates are quickening. But who is winning or leading in the race? A quick review of U.S. patent data may provide a glimpse into the state of the race.