It is natural for labor markets to fluctuate with economic, political, and cultural constraints, yet neither purchasing power, partisanship, nor the level of attrition brought on by an aging population can truly account for the way that technology impacts business. The rise of flexible and shared workspaces, self-service analytics, Machine Learning (ML), and Internet of Things (IoT) automation are prime examples. But with the rapid introduction of new technologies also comes the need to continuously retool, reskill, and rethink our approach to innovation. This is because technology changes faster than people can embrace it, and because individuals adapt faster than businesses. What this means today, however, is that technology has changed our personal lives more than the way we work.
Everything from connectivity and access to company resources (data, software, personnel) to security and culture will be virtualized. There is a clear trend in this direction. But the future of work isn’t just about onsite versus remote, online, or mobile. It is about optimized systems that match need with ability; improving placement (of people, process, and technology); and using data to make people decisions (rather than people to make data decisions). These are of some of the reasons why organizations like Airbnb, Dropbox, GE, P&G, Pfizer, and Samsung posted more than 30,000 projects to sites like Upwork in 2017 alone.
This ABI Research report provides foresight on the disruptive and transformational impact of technology on employment, how future tech-enabled employment paradigms will redefine the very nature of enterprise structures, and what it means for the way we work. New employment paradigms include mobile workforces; distributed workforces; home, remote, and online work; collaborative models both within and between organizations; contract, temporary, and transient assignments; the emergence of the micro enterprise; and the impact of Artificial Intelligence (AI) and automation on employment. Key technologies covered in terms of the benefits they offer include AI, robotics and bots (automation), AR and wearables (assistance and visibility), Virtual Reality (VR) (training), and software and application collaboration tools (efficiencies) to develop and support both internal and customer-facing functions.