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The rise of artificial intelligence, automation and robots is disrupting every major industry and business virtually. From machine learning to the "internet of things," or IoT, to smart appliances and autonomous vehicles, companies that aren't developing and incorporating AI into their businesses run the risk of becoming obsolete.
High-end chipmaker Nvidia is positioned to provide the massive amount of processing power AI applications will need. In fact, Nvidia is planning to build its own AI supercomputer lab in Cambridge, England. The world's fastest supercomputer, Leonardo, is even powered by Nvidia graphics processing units.
Google and YouTube parent company Alphabet uses AI and automation in virtually every facet of its business, from ad pricing to content promotion to email spam filters. Google is also the parent of autonomous vehicle company Waymo, which made history by becoming the first company to launch a fully driverless commercial robotaxi service on public roads in 2020.
Like Alphabet, Amazon has integrated AI into every aspect of its business, including targeted advertising, e-commerce search results and Amazon Web Services. Amazon's Alexa is one of the most popular virtual assistants and has become integrated into many American homes. Amazon also offers a wide range of AI services to its AWS cloud customers, including advanced text analytics, automated code reviews and chatbots.
Microsoft is investing heavily in ensuring its early leadership position in the AI market. In 2020, Microsoft announced the construction of a new supercomputer hosted in Azure, Microsoft's cloud computing network. The supercomputer was built in collaboration with OpenAI to train AI models with the ultimate goal of eventually making large AI models and related infrastructure available for other organizations and developers.
For years, IBM has been developing ways to adapt its AI supercomputer Watson to revolutionize health care, finance, law and academia. Unfortunately, programs like Watson for Genomics and Watson for Oncology didn't live up to expectations. Still, Watson recently performed as well as or even better than AI services from Amazon, Microsoft and Google in tests by the Allen Institute for Artificial Intelligence.
Facebook parent company Meta Platforms has already applied AI technology to its newsfeed and advertising algorithms, drawing heat from critics who say Meta is prioritizing engagement and conflict over user safety and societal stability. Former IBM Watson head Jerome Pesenti joined Facebook's AI team in 2018 as the company shifts its focus to applying AI technology to building and developing the metaverse, a digital world in which users live and interact.
Electronic signature and document automation specialist DocuSign has been investing heavily in AI technology to make contracts and documentation more efficient. The company even acquired AI contract analysis company Seal Software for US$188 million in 2020.
Taiwan Semiconductor Manufacturing is a foundry that produces the cutting-edge AI chips designed by Nvidia, Apple Inc. (AAPL), Qualcomm Inc. (QCOM) and other semiconductor leaders. TSM is also funding its own in-house AI hardware research in areas such as near-memory and in-memory computing, embedded non-volatile memory technologies, 3D integration and error-resilient computing.
There are also plenty of AI investments outside of U.S. megacap tech stocks. ABB is focused on developing industrial automation technologies that both improve performance and reduce environmental impact. ABB's Industrial AI Accelerator program provides AI tech startups with resources and support in developing industrial AI technology.
NICE is a leading provider of software applications that manage call center operations and customer interactions. NICE's AI and machine learning technology also streamlines fraud detection and regulatory compliance. The company uses AI to help businesses categorize and analyze voice communications, leveraging the power of data analytics to improve the way businesses interact with contact center teams.
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