Preparing for Our Future: The Human Partnership with MachinesBy Ariella Brown | Posted 2017-12-08 Print
How can we prepare for the changes that emerging technologies like AI and machine learning, augmented/virtual reality, robotics, and cloud computing will bring to our work and daily life by the year 2030?
The Institute for the Future (IFTF) specializes in 10-year outlooks. For a recent study in partnership with Dell, it extended that to 13 years, taking the year 2030 as the target year.
In a phone interview with Baseline, IFTF Research Director Rachel Maguire explained that the purpose of the study is to understand what the future will bring so that people may prepare for it. She said it's about looking at "plausible futures." Given that "the future is experienced at different paces," the idea is not to predict exact numbers at particular dates "but more to find the general directions we're going."
The study took into account the views of 20 global experts on the changing relationship between people and technology and how the relationship will manifest itself in society, business and work by that time. The result of that collaboration is a report, The Next Era of Human-Machine Partnerships.
Key changes to result from the rise of machines in the workplace that we can anticipate over the next 13 years include:
- Cloud computing would become the norm.
- While some jobs will be handled by machines, new jobs that don't exist yet will make up the majority of positions in 2030.
- The machine and human interaction will yield greater efficiency in finding talent, managing teams, delivering products and services.
- Workers will learn what they need to do 'in-the-moment,' while on the job to keep up with the skills in demand for the rise of machines in the workplace.
The whole nature of individual careers is expected to change. "By 2030, expectations of work will reset and the landscape for organizations will be redrawn, as the process of finding work gets flipped on its head." The trend currently observed of people working in a "gig economy" is expected to grow to the extent that people would find that they are hired for tasks rather than permanent positions.
The report also envisions a future in which people would not be seeking jobs as much as the jobs will be looking for them: "Reputation engines, data visualization, and smart analytics will make individuals' skills and competencies searchable, and organizations will pursue the best talent for discrete work tasks." As organizations hire people exactly where and when they are needed, they will gain the advantage of becoming "leaner and more competitive," as well as "more agile and profitable," thanks to the reduction in "costs and overheads."
Workers would gain a kind of agility, as well as get trained "in-the-moment" for the tasks required by the organization. Maguire explained that thanks to immersive technologies like AR and VR, workers would not "have to leave the job to complete a curriculum" for retraining. Instead, they'd be able to apply "a digital layer over work stations" that could guide them in new skills and applications right in the workplace.
The report also points to the advantage of businesses becoming more objectively data-driven: "Human-machine partnerships will enable people to find and act on information without interference of emotions or external bias, while also exercising human judgment where appropriate."
Maguire observes, "given the pace of disruption" that the emerging technologies are shaping, now is the time to "start fostering a more productive relation between people and machines." The goal of the report is to help people think critically about the future. The question to ask now is: "What do we need to do today to be prepared for it?"
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