Will AI make your role redundant? Well, if you use AI properly. And that’s a good thing. Why? Well, because that means you have more time to spend on getting humanity back into the business.
Start talking about artificial intelligence and as a letter on the post, someone will note that AI is leading to mass unemployment. It’s not often about human vs. machine, and often it’s just a matter of time before we fight robots for our own existence.
There are two problems with this. First, if so, we are creators of our own destiny. Who built the machines in the first place? Who prioritized convenience, speed and low prices? We did it. Look at the retail. All over the world, traditional stores are competing in competition from the popular online retailer, which uses algorithms and automation to serve millions of people with, among other things, AI-based chatbots. E-commerce did not become popular by itself. We did it.
The second problem: If we consider AI as our counterpart, “human vs. machine ”, we ignore what we get out of the automation. Often when we talk about the benefits of automation, the counter-argument is that it shuts out low-income earners, which leads to increased unemployment. It is true that machines have reduced the number of employees in certain industries, and there are examples from the legal profession as well. Among other things, IBM’s supercomputer Watson is part of the technology behind ROSS – an AI tool that can analyze millions of legal documents. ROSS will not completely replace lawyers but give them more time for client contact and ethical assessments.
Do we automate the right roles?
Think about the time organizations spend on decision-making processes. On average, managers spend 23 hours a week in meetings of various kinds. Another study shows that companies with inefficient meeting behavior also have lower market share, less innovation and poorer employment stability. Rather, the question is whether we should not apply AI to more high-paying jobs where quick decisions are crucial.
A report from the Foundation for Strategic Research shows that every other job will be automated within 20 years. However, this need not affect the proportion of jobs. A major report from the World Economic Forum shows that AI will lead to 75 million jobs disappearing by 2022, while technology is expected to create 133 million new jobs. Thus, a net of 58 million.
If AI is allowed to take over certain meetings – or yes, decisions – there is suddenly more time to be active. Talk to customers, solve problems, develop new products, work out. Whatever it is, it can be a chance to create more value. AI will not remove all meetings, and should not even be used for that reason.
What the technology can do is remove simple, but time-consuming administration. Realtime has previously reported that the financial industry can save up to $ 1,000 billion on AI. A success factor in the financial industry is the ability to read patterns in large amounts of data, and here AI can really make great use.
But what happens if your job is to make a decision? Will AI make your role redundant? Well, if you use AI properly. And that’s a good thing. Why? Well, because that means you have more time to spend on getting humanity back into business.
The revenge of the emotions
The idea of computers and machines has been, ever since the industrial revolution, made things faster, whether it was about weaving or building cars. One of the downsides has been that human contact has been neglected. In our desire for speed and convenience, we have sacrificed the ability of companies to be empathetic.
AI gives organizations the opportunity to take it back. Being able to act quickly and decisively, but with empathy. Analyzing, determining and then letting the person make the decision is the most appropriate way. It can be a customer service worker who handles the contact but who lets AI do the job. Or a doctor who uses AI to assist in the diagnosis while focusing on patient contact.
AI throughout the organization
Now we have mainly touched customer contact, but of course there are a number of other opportunities in the back-end that embed AI. Many organizations strive to exploit the opportunities generated by the massive data sets, regardless of where they are stored and struggling with the complexity of managing these environments. Wouldn’t AI that can tell organizations what is happening and what needs to be fixed be of great help? By using AI, organizations really benefit from harvesting data from different sources, while being agile without sacrificing accuracy. This can be a chance to provide a better customer experience by combining AI with humanity.
We humans are actually near the border, or have already crossed the border, for our ability to handle available information and data. AI is good at processing information and making decisions. Why do we even try to compete with something that can analyze all scientific articles to diagnose a medical condition? We can’t do that. And we shouldn’t. However, what we should do is use the ability to increase our degree of humanity. For example, that value may be there for a patient, fix a problem with a contract, or develop an app. Whatever it is, with AI we can make it more efficient, and most importantly – more human.