AI is developing faster than ever and making short work of the routine tasks and jobs that humans have done for years. Rather than competing with machines in these areas, we can retain valuable roles in the digital economy by focusing on learning widely, developing our ability to find interesting questions and solutions, and collaborating with each other.
Actionable advice:
Look for meaning in your work.
When our work gives us a sense of value and purpose, our motivation levels shoot up and so does the curiosity, creativity, and determination that we bring to our jobs. Look for ways in which your work makes a positive difference in other people’s lives, or think about the aspects of your job that you’re most passionate about. Finding and focusing on these will give you a newfound enthusiasm.
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Even though AI has gotten faster and smarter, it can’t replicate our uniquely human traits.
If you’ve ever watched a talent search, you’re familiar with this scenario: a singer takes the stage and it’s immediately clear that they know their stuff – each note is pitch-perfect.
However, the judges, and you at home, aren’t quite convinced. Something’s missing. Perhaps energy, passion, or what people call the “X factor.” The contestant is skilled but doesn’t have what it takes to become a superstar.
AI is similar to this skilled-yet-uninspiring singer.
The key message here is: Even though AI has gotten faster and smarter, it can’t replicate our uniquely human traits.
AI’s capabilities are undoubtedly astounding. And why shouldn’t they be? The speed and power of computer hardware have developed exponentially since the microchip was invented over 50 years ago. To put that into perspective, consider this; if the smartphone had been built back then, it would have been the size of a 100-story building and needed 30 times as much electricity as the entire world produces!
Take all that computing power that we now have in our palms, and add the fact that computers are teaching themselves. Where humans used to write instructions for computers to follow, computers can now write some of their own algorithms. This learning is fueled by the data we create every second. AI machines scan that data, finding patterns and manipulating it in order to achieve whatever goals we set for them.
And that, right there, is the catch. AI machines can only work on goals that we set for them.
Artificial Intelligence systems are good at completing specific, routine tasks. Some are built to recognize faces, others to translate languages, and there are even machines that compose music. They may do all of this much faster than we can, but their knowledge and skills are limited to those particular tasks.
Humans, on the other hand, can learn about a wide variety of things, and we have the ability to find connections between what we learn. Evolution has gifted us with skills that many take for granted. The author sums these gifts up as the 4Cs – Creativity, Curiosity, Consciousness, and Collaboration.
AI is nowhere near developing these capabilities, which is why focusing on these skills is precisely what you need to set yourself apart.
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Getting into the habit of asking the right questions is how we develop our own bright ideas.
Ever sat back to consider how far questions have brought us? If someone hadn’t wondered why we can’t fly, we probably wouldn’t have the luxury of air travel. This, and a host of other inventions we have today, started as questions in the minds of curious individuals.
Asking questions is beyond the capabilities of AI machines. They can process the questions that we program them to, but they can’t come up with new ones of their own and, consequently, can’t form novel ideas.
This is where being inquisitive – another aspect of curiosity – comes in handy for your career.
The key message here is: Getting into the habit of asking the right questions is how we develop our own bright ideas.
The truth is, any one of us can ask a question. However, finding the right question or problem takes a lot more effort, and this is what sets the most creative people apart.
Psychologist Mihaly Csikszentmihalyi learned this in a study on innovative thinking. He challenged 31 art students to select a few objects, arrange them together, and then sketch the arrangement. Some of the students chose their objects quickly, and spent the bulk of their time drawing – their focus was getting to the perfect solution. The other students spent more time selecting objects. Asking the right questions and finding the right problem was more important to them. With limited time remaining, they rushed through their drawings.
Six years after the study, only a third of the study participants had become successful artists – and they were all from the group that had taken time to find the right questions.
If you’re wondering just how to ask the right questions, consider these pointers from some of the most innovative organizations out there.
First, remember that good questions don’t seek to confirm or clarify what you already know. They are open-ended and invite people to explore possibilities. Global design firm IDEO uses what it calls “How Might We?” questions. Here, the word “might” implies that there are many possible solutions, and this encourages a variety of responses.
Over at auto manufacturer Toyota, they use a simple method established by the company’s founder in the 1930s. When investigating an issue, they ask “why” over and over again. That’s right, every answer is met with the question “why?” This happens a total of five times and it helps to uncover the root of the problem.
But here’s the thing, even when you do ask the right questions, you don’t always find the best answers. And this is why it’s important to continue asking questions long after you have a solution. By doing so, you’ll find opportunities to improve your solutions, or even change them altogether.