I make my living in technology, which makes me a nerd right, and like all good nerds I love the idea of cars driving themselves.
I first became interested in self-driving car technology when I worked at a Caltech lab about 12 years ago, but the people who are developing this technology are not the same as the What in the previous seven years has actually made applications like self-driving technology possible for the first time? There are three factors that happen at the same time. AI has been there for a while, but there have been numerous AI winters and there have been several AI booms.
One of the main motivations has been the requirement for data to fuel AI training, which has made data gathering and data processing easier thanks to improving technologies. The second thing that has changed is that computer processing has gotten faster, which is like the engine because without that engine processing the data in a reasonable amount of time was actually just not possible.
The third thing that has changed is that new algorithms have been developed, which has made AI much more potent. As a result, technology has been changing and developing at a pace that is much faster than ever before, and we are fortunate to be living in such an exciting time, were unable to envision an alternative course for their lives, and I spent the final four years of my life developing technology that has the potential to automate the labor of 2 million salespeople.
In most nations outside of agriculture, sales and marketing-related jobs make up a significant portion of all employment; however, by 2020, over 25% of these jobs from the previous ten years are likely to be lost.
To demonstrate why this is the case, I'll use the example of two friends, Jeff and John. In 2009, Jeff and John started working in sales. They had great relationships with their clients and achieved their goals. They lived happy lives. Joel began to notice in 2012 that some of his clients were no longer seeking his advice but rather coming to him with a clear idea of what they wanted to buy instead. This number kept growing over time, but Joel was content and at ease and didn't mind it, so John simultaneously became an order-taker. Because his customers relied on him for his knowledge, Jeff continued to forge deeper connections with his clients and develop sophisticated solutions. As a result, Jeff transitioned into sales consulting, and in 2019 John was let go.
What caused the difference in the outcomes for the two buddies, Jeff wondered as he continued to perform well at his job? One very significant and unexpected factor is Google and its artificial intelligence (AI). Google has given all of us the ability to get the pertinent information we want at our fingertips, which has changed how things are bought.
However, the major change only occurs starting in 2012. Google has taken away about 65% of sales people's jobs that were primarily order takers, and the ones that are left are likely to be gone over the next few years. It's important to consider the various duties and tasks that go into a job, such as the fact that a chef must be creative, manage a team of workers, and prepare food. Similarly, an accountant must cultivate relationships with clients in addition to performing accounting duties. If these duties are rule-based, repeatable, predictable, and written, they are extremely vulnerable to the power of the eye. When you consider a job or career choice, if the majority of the tasks that make up that career choice are likely to be these vulnerable tasks, then that is a career that is at risk in the future.
So what are the tasks that AI will find difficult to do? Anything that is unpredictable anything that requires skills like creative thinking or empathy or that is time-consuming interactional abilities.
They will continue to be very human for a very long time. I organized a brainstorming session with my team yesterday to talk about new product ideas. We had people from various roles, including engineering, design, and product, and everyone came up with fantastic ideas.
However, business people were doing engineering ideas, designers were attempting to do business, engineers were also attempting to brag and do marketing, but that didn't work out so well.
Therefore, these are the kinds of things that I absolutely cannot do. We can work as a sales manager, a lawyer, a writer, an engineer creating new products, etc. There are many tasks that I am unable to perform as an event planner, but you can.
In my opinion, the robots can handle any data input or laundry tasks that humans dislike. I detest laundry that can be done by robots, so please share this information with others.
The folks who are most at risk from these developments are also the ones who are most likely to learn it from you alone, without assistance from other sources. I hope that it will be useful to all of you here and everyone else you talk to because AI is highly powerful if utilized properly, thus it's necessary for people to grasp its merits and cons.