Which of our jobs are most exposed to machine learning and other forms of automation?
Which of our jobs are most suitable for remote work?
Are we getting better at attracting and retaining people with in-demand skills?
Do we have higher or lower churn than our competitors in key talent areas?
Which of our people can be most easily retrained for the jobs of the future?
Technology trends like AI, process automation, robotics, and remote work are reshaping workforces in every industry. COVID and intense global competition are only accelerating these changes. The jobs in demand, and the skills needed to do those jobs, are changing more quickly than ever before.
Companies need better tools to anticipate and plan for these changes.
The sum of American workers’ skills, experience, education, and knowhow—is likely around $240 trillion. Your people really are your most valuable asset, but our research finds that most companies have large mismatches: many people could be doing jobs that are better suited to their skills.
According to our estimates, over $3 trillion of the annual U.S. wage bill, 33% of the total, is exposed to machine learning-driven disruption. Companies that get a head start redesigning their business processes will unlock massive productivity gains.
We developed a job-level work from home (WFH) index, and found that it predicted company performance during COVID. Companies with a high WFH index score saw 15% higher incomes during the pandemic, compared to those with a low pre-COVID score. High-scoring companies also experienced higher sales and better stock market performance.
We are a team of academics and entrepreneurs devoted to bringing to market our state-of-the-art research on the future of work. We have more than 60 years of experience in understanding how tech progress and other tectonic forces are changing jobs, skills, and business models. Now we're bringing our insights to market via custom analyses, APIs, and other offerings that will deliver value to our customers.
Customer obsessed to the core. Building for 1.25 billion information workers and 41 thousand firms globally.
He is the Director of the Stanford Digital Economy Lab, a Professor at the Stanford Institute for Human-Centered AI, and a Research Associate at the National Bureau of Economic Research. Brynjolfsson is among the most cited researchers in information and economics and his work has been recognized with Ten Best Paper awards and five patents.
He is the Co-Director of the MIT Initiative on the Digital Economy and also the Principal Research Scientist at the MIT Sloan School of Management. Throughout his career at MIT and Harvard, he has studied how digital technologies are changing the business world. He has advised many companies, governments, and international organizations.
He is an Assistant Professor at the Wharton School at the University of Pennsylvania. His research focuses on the economic impact of digital technologies on markets, companies, and the Future of Work. Daniel received his Ph.D. from MIT and is a research fellow at MIT and Stanford.
He brings experience and DNA from top technology firms including Google and Amazon. He also previously Co-Founded a venture-funded AI platform business in the Bay Area and was a founding member of the AWS Private Equity sales team. He has spearheaded digital transformations and cloud migrations for hundreds of mid-market and enterprise customers.