Think future of Automation. What do you visualize? Humanoids in our offices? Robots running our factories?  Driver-less cars on the roads? Watson, Deep Blue, Alpha-go? I have often been asked about my views on this fascinating subject as an insider in this world. But, before I delve into that, let me specify: As I see it, the future of automation is here and now. Only, it is far from an edge of the seat sci-fi thriller that you might imagine.

HumanAutomation is no longer an option in the 21st century enterprise. Across industries, it is already driving efficiency, productivity, agility, adaptability and optimization. Yes, there is growing apprehension about automation devouring jobs. But this fear is not unexpected if we take history as our guide. The Industrial Revolution too was met with what John Maynard Keynes coined as “technological unemployment” as a “temporary phase of maladjustment.” More recently, the Knowledge Revolution, the Internet and cloud computing too were met with such concerns. Each of these chapters was finally turned as a net positive. And today, we stand at a similar crossroads with the Automation revolution.

So how do I feel about it? I believe that Automation – or Autonomic as we call it, including both automation and the fast moving landscape of Artificial Intelligence (AI) – is perhaps the greatest opportunity the world has been presented in a long time. An opportunity to unlock the power of technology to break through the global economic logjam. However, in order to realize its potential, we have to get past our apprehension and recognize three basic ground rules of automation:

It is a partnership

If we look back at any major technological development, we find that in each case, its value emerges from a collaboration between people and technology. It’s not an either or scenario. Here is the simple fact. We are the architects. We are the users. And, without a doubt, we are the beneficiaries of an automation-enabled tomorrow.As the Open letter on the Digital Economy penned by leading technologists and economists pointed out, the idea of robots eating away jobs “assumes that we are powerless to alter or shape the effects of technological change on labor.”

Sure, the power of AI is awesome. But it is nothing compared with the power of a partnership between humans and machines. A small case in point being the power of the cyborgs in freestyle chess – a combination of man or machine that has proven to be far superior than either. This partnership is reflected in the increasing switch-over to the new, more powerful AI – “augmented intelligence.”

It automates activities, not jobs

A recent article in the McKinsey Quarterly analyzed workplace automation to find that while around 60 percent of occupations could have 30 percent or more of their constituent activities automated, fewer than 5 percent of occupations can be entirely automated using current technology. This led the authors to conclude that “Very few occupations will be automated in their entirety in the near or medium term.” On the other hand, they pointed out that the automation of certain activities would necessitate redefinition of jobs and transformation of entire business processes.

In other words, the possibility to automate certain activities, opens up vast opportunities for augmentation of roles played by people in the workplace. For instance, if the routine and tedious task of reading and updating the system with information on ongoing new developments could be automated at, say a law office, a hospital, a media outfit or any knowledge-based industry, it could free out the time of people working there to do far more productive, creative and beneficial work.

It is a (well-planned) journey

This requires a deep assessment and a thorough mapping of these technologies; before even attempting to apply automation levers. And once you do so, it must be in sustainable layers, and in partnership with people. The moment you take a methodical and analytical approach to applying autonomic – you can start looking beyond the hype and apprehension; and start looking at making positive impact with real, repeatable and consistent outcomes.

And at every stage, there needs to be a successful transition – an up-placement – of the workforce. At every stage, there has to be a sharp focus on re-skilling of people, to not just move successfully into the next level, but to effectively fill all the new related jobs that will be created within each scenario. This is not wishful thinking but reality, as discovered in a study at the London School of Economics, which looked at the impact of industrial robots on manufacturing in 17 developed countries. They found no evidence that the robots reduced total employment. While robots did seem to replace some low-skill jobs, their most important impact was to significantly increase the productivity of the factories, creating new jobs for other workers.