What will the future of work look like?
Based on our conversation, the future of work will span two key areas: building operations (in the broad sense of the term) and running them. Specifically, the job of running operations is increasingly going to fall to machines. In certain areas, these machines can already do more than what is humanly possible. They will augment workers' capabilities, enabling people to focus on designing and building better products and services. This future calls for groups of people who can design, experiment, and build, and then readily move on to the next challenge.
For example, machine learning can make complex analytics much easier. In the past, people would spend days and weeks reviewing spreadsheets and performing statistical calculations. Now, machine learning can process multiple sources of data at greater speed and scale. This saves time, reduces running costs, and increases the demand for more analytical jobs.
Existing analytics teams – once responsible for the calculations themselves – can be trained for new work, like preparing and engineering data, aligning the machines' outputs to business goals, and overseeing new models and algorithms. Meanwhile, we will see organizations increasingly using “spot talent" markets to build, or at least supplement, staff for project teams, including designers, developers, data scientists, and computer programmers, as well as domain experts for specific industry or process applications.