Five-step evolution, let you win the robot in the workplace

Instead of looking at the workplace as a machine that constantly replaces the manpower of the zero-sum game, why not explore more workplace possibilities? Smart people will consider taking five steps, redefining their relationship with the machine, repositioning their contributions, and coexisting peacefully with the machine. Those who can successfully pick up the stick from the computer and hand over to the computer will be the winner.

Oxford University recently published a study on how advances in automation will replace manpower. After hearing about Yuh-Mei Hutt in Tallahassee, Fla., he wrote: “Half of the work in the future may disappear, and I will completely change my child’s future.” Ms. Hu is familiar with computer automation. The benefits, but also the huge threat that comes with it. “How does my child compete with artificial intelligence? When competitors are more experienced, more experienced, and jobs become less, how do they win?” she asked.

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If we don't ask the traditional question (what people now work, will be replaced by cheaper and faster machines?), but ask the new question: when people have more thinking machines to provide assistance, you can do it. What new achievements? Instead of looking at the workplace as a machine that constantly replaces the manpower of the zero-sum game, why not explore more workplace possibilities?

Seeing automated threats as opportunities for reinforcement

We can turn the threat of “automaTIon” into an opportunity for “augmentaTIon”.

I have seen knowledge workers and machines work together to do work that no one can do alone. As the machine gradually captured the workplace, these knowledge workers showed the way to respond.

The traditional wisdom is that when machines threaten people's livelihoods and invade your work area, people have to bet on higher-level education standards to stay ahead. In fact, smart people can consider taking five steps, redefining their relationship with the machine, and repositioning their contributions, and coexisting peacefully with the machine.

Step 1. Go up

Your best strategy may be to pursue a higher level of knowledge. As long as you can think more comprehensively than the computer, and the level of abstract concepts is higher, there will be work waiting for you.

In fact, this is the constant advice from the automation of people's work: let the machine do lower work than you, and seize the opportunity to take it to the next level.

If you choose to go up, you may need to take a long education. Once you enter the company, your goal should be to broadly absorb information and demonstrate creativity as part of the company's innovation and strategy team.

For the knowledge workers who choose to go up, this passage provides a good direction: comprehensive thinking. You must find a way for the machine to do the basic knowledge work for you, and you can master the operation of the machine.

Step 2. Walk to the side

The use of psychological power other than purely rational knowledge, that is, psychologist Howard. Howard Gardner says "mulTIple intelligences." For example, you might be good at "interpersonal" and "intrapersonal" intelligence, know how to work with others, and understand your interests, goals, and expertise.

If going to the side is your job search strategy, you need to focus on developing the ability to not be stylized. First, find your abilities and then work hard to strengthen. In the process, you should find the best in your target industry and try to follow them. You may need to learn to appreciate the intelligence outside of your IQ. This kind of wisdom can deliberately enhance the improvement, just like calculus, it is an excellent talent.

Step 3. Walk inside

Knowledge workers who choose to go inside need to know how to monitor and adjust the work of the computer. In digital marketing, buying ads is almost completely automated, but only people can determine which ads actually hurt the brand and how to adjust the logic behind the ads.

You may ask: In this case, who is strengthening (or strengthening)? In a strengthened environment, support is mutual. One can make sure the computer is working well and make it better. This is agreed by all those who advocate STEM education such as Science (S), Technology (T), Engineering (E), and Mathematics (M). Most of the work world they foresee is going inside. position.

But if you want to adopt this strategy, you should develop observation, transformation, and interpersonal connections.

Step 4. Walk to the narrow door

Knowledge workers who choose to go to the narrow door must find their own special niche and dig deep into the study. Among the many generalists, they are a few talents who focus on a single field. If this is your strategy, start building your self-image and become a person with a deep understanding of a very narrow field.

This does not mean that you can't have other interests, but you must have a clear image in the profession. How to use machines to strengthen capabilities? You can build your own database, develop the habit of absorbing new knowledge, and link to systems that combine your professionalism with others.

Step 5. Go forward

Construct a new generation of computers and artificial intelligence tools. It’s a fact behind every machine, and it’s a lot of people. Obviously, knowledge workers who choose this strategy need to be good at computers, artificial intelligence, and analytics.

Moving forward means pushing the machine to further encroach on the workplace, but some of the work is to be greatly enhanced with software. To correctly see the next opportunity for automation, you can't rely solely on the knowledge of fragments.

If you choose to move forward, you must get rid of regular thinking, see the current computer deficiencies, and imagine tools that are not yet there, so that you will become a top figure in the field.

From sprint to relay race

Of course, many knowledge workers' work will soon be automated. In the long run, a strategy that benefits employers and employees is a smart machine that works as a partner for knowledge.

By emphasizing reinforcement, people can remove the threat of automation and turn the game between people and machines from a sprint race to a relay race. Those who can successfully pick up the stick from the computer and hand it to the computer will be the winner.

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