By Holger Reinel | Updated on June 10, 2020
The robotics revolution has started and the question everyone is asking is, what professions are at risk of being displaced by artificial intelligence?
Did you know we already share our lives with over 9 million robots?
According to world-renowned McKinsey Global Institute, by 2030 between 400 million to 800 million individuals worldwide could have their jobs replaced by machine automation.
Even Kai-Fu Lee, a pioneer in artificial intelligence (aka “the oracle of A.I.”) told Scott Pelly in an episode of 60 Minutes that he estimates artificial intelligence will automate and potentially eliminate 40% of all jobs within the next 15 years.
While the last 10 years were all about smartphones, the next 20 years will be dominated by artificial intelligence; it’s going to transform everything.
Thousands of tasks and occupations now performed by humans will be automated, leaving people to decide either to adapt and evolve or be left behind.
What jobs can robots do?
It’s not just repetitive jobs from factories that can be automated by robots; those are easy to predict, and in fact, many of those have already been automated, such as manufacturing cars.
A.I. will also replace many white-collar jobs. That’s because AI algorithms are good at predicting, planning, and analyzing patterns better than humans can.
Thus, professions such as lawyers, accountants, investment analysts, radiologists, bank tellers, and even some doctors, are all occupations with tasks that can easily be automated.
Will robots take my job?
AI will transform our jobs by automating many of the things we do daily. This will open the door to other new jobs that will arise; however, those opportunities will only be available if you embrace technology. If you don’t, quite likely yes, a robot could take your job.
Keep in mind that the AI revolution will happen with or without any one of us; so there is no point in resisting it. What’s more important is that AI has the potential to augment our human capabilities which will translate into higher job productivity.
Last week, Google’s CEO, Sundar Pichai said at the World Economic Forum in Davos that AI will be more profound to humanity than fire or electricity.
Frankly, that sounds like an exaggeration to me but what is certain is that a four-year college or university degree will no longer carry people from their ‘20s through to retirement.
Price Waterhouse Coopers (PWC) estimates automation will happen in three phases:
Wave 1 (to early 2020’s): algorithmic
Wave 2 (to late 2020’s): augmentation
Wave 3 (to mid-2030’s): autonomy
Thus, continuing education will be crucial to face the challenges and spearhead the benefits of AI robotics.
Here are 35 diminishing professions AI will automate:
McKinsey Global Institute predicts that about half of the tasks lawyers perform can be automated with today’s technology.
We will always have human lawyers, but for tasks such as performing legal research and reviewing case law, an A.I. can do a better job than humans.
Lawyers can ask ROSS questions as if talking with a colleague. The way it works is ROSS uses an algorithm, deep data, and machine learning to read and compare prior cases; it then gives an answer quoting the law that the answer is based on. The more cases you feed ROSS, the smarter it becomes.
Thus, it is estimated that AI will replace most paralegal and legal research jobs by 2030. To keep competitive, lawyers of the future will need to combine their legal expertise with knowledge of advance computer engineering and algorithms.
Investment advisors are being replaced by Robo-advisors. A human advisor has the limitation of the amount of information they can digest to make their investment decisions.
With an AI there are no limitations and it can learn more information from other machines too.
For instance, imagine your friend, “Mike” made a bad investment and lost all his money.
Mike would be the single person to learn from what he did wrong, but other people do not get the benefit of learning from that mistake.
By contrast, if an AI makes a bad investment decision, all other computers learn from that mistake. Therefore, an A.I. will be able to predict returns much better than human investment advisors can today.
While e-commerce is driving demand for shipping higher than ever, professional truck drivers experiencing the harsh realities of the job, are leaving the industry.
Because trucking can be dangerous and at times a boring occupation; this has rendered the profession ideal for automation.
In the USA alone, there are around 1.8 million truck drivers. According to the Los Angeles Times, 1.7 million truck driver jobs in the USA could be replaced by autonomous trucks over the next 10 years.
Here is something you probably never heard before. You will see loads of autonomous trucks delivering goods from warehouses to their destinations before we see self-driving cars in the city.
The thing is, for autonomous vehicles, driving in the highways is a lot easier than driving in the city. Especially when driving in the city, we humans, take for granted a lot of common sense driving decisions that for an AI are incredibly difficult to simulate.
But not for long – TuSimple is leading the industry of autonomous trucks; the company is a startup headquartered in San Diego, USA, and China.
TuSimple has enlisted customers such as UPS and they are making long-distance delivery trips primarily to collect test data that they feed into their machine learning algorithm.
Each test run is designed to teach the algorithm how humans operate so that the AI can become fully autonomous.
The difference between an AI driver and a human driver is that when an AI learns how to handle a particular driving decision, the entire fleet of vehicles learns at the same time, while for humans, we learn individually.
Tesla already has about 2 billion miles of experience driving on auto-pilot, mostly while the human driver is asleep. Waymo, the self-driving car division of Google/Alphabet has driven about 16 million miles.
What Tesla and Google then do is take all the data and feed it into their AI database. This makes the AI that controls self-driving vehicles to become smarter in ways that no human driver will be able to match.
Yes, in a not-too-distant future where all devices are connected, autonomous vehicles will be safer drivers than humans; thus it will be our preferred method of transportation to go from point A to point B.
Until now, intelligent technologies, and machines have been used in banking to improve efficiency in parallel with people’s job tasks, but that’s about to change.
Accenture, a fortune 500 leading provider of consulting services conducted a survey with bank employees.
The findings show that while AI will expand career prospects for many employees, some roles such as bank tellers, cashiers, loan officers, and other clerks will be replaced with artificial intelligence applications.
In fact, many banks are now implementing Interactive Teller Machines (ITMs) for clients that need extra help. ITMs machines allow video interactions with a bank teller who may be a human working in a different location or an artificial intelligence robot.
Probability of automation by occupation
Probability of automation by tasks
China seems to be getting a step ahead in this area. The China Construction Bank recently opened its first fully autonomous branch. The building is occupied by a robot called ‘Little Dragon’ which can scan a person’s bank card and answer any question customers have.
Accountants have been using business intelligence tools for many years; however, as explained in an article published on Forbes on this subject, AI will soon transform the accounting profession.
For instance, procurement and supply chain software “ARRIBA” by SAP allows users to have invoices submitted to an email address.
Invoices are then automatically fed to the ARRIBA’s software, which attaches an expense general ledger code and upon approval, a journal entry is automatically posted to the accounting system.
This is already possible today; as cognitive computing becomes more advanced, AI will also perform other more complicated functions accountants do today.
Some accounting jobs will be replaced, and others will be created.
Robotic accounting will replace accounting functions like matching vendor invoices, posting Journal Entries, Accounts Receivable, Accounts Payable, bank reconciliations and especially the analysis of financial data.
According to the WarcToolkit report produced in association with Deloitte and Touch Digital, companies will have to use artificial intelligence marketing (AIM) solutions if they want to remain relevant.
Those AIM solutions will equip digital marketers to really look into customers’ minds and develop personalized marketing strategies vs. simply pushing out general ads.
Hence, marketing professionals like few other professions must embrace artificial intelligence or they will risk being left behind.
People dread the mortgage application process. There will come the day when there is no need for human-touch to get a mortgage.
Innovative personal loan companies are already using technology to make the loan approval process faster and more transparent.
Consumers apply for a loan online, and an automated process assesses risk, checks employment history on sites liked LinkedIn, checks spending habits using data from Facebook, Instagram, and other online platforms.
The result is a score that gives a more comprehensive picture of your spending habits than what your FICO credit score provides.
In China, they have created the “Social Score”, a social credit system that factors in social behavior such as getting a speeding ticket, whether you pay your debt and more.
By 2030 there will be a host of AI-powered tools that can not only tell you the type and mortgage amount you qualify for but also automatically process mortgage applications, replacing slow and costly manual processes now performed by humans.
According to the Bureau of Labor Statistics (BLS), Agricultural workers have been on a steady decline since 2010 and are being replaced by advanced technological machinery that provides higher crop yields.
AI in the farming industry is already happening at a large scale in countries like The Netherlands.
Did you know that despite being a small country The Netherlands is the second-largest exporter of fresh food in the world? How do they do it?
Their secret is vertical farming inside greenhouses and AI.
They are using artificial intelligence to analyze thousands of indicators, such as color, size, temperature, and the environment, all geared towards maximizing both the quality and quantity of the products.
Even in more traditional farms worldwide, some farmers are using agribots? An agribot is an autonomous robot designed to perform farming functions like plowing the land, planting seeds, and even harvesting.
Similarly, farmers can now use drones to fertilize the land and to analyze soil conditions all aiming to maximize crop output.
Agricultural robotics offers the ability to create a highly efficient farming operation with a much more focused approach than human farmers can offer.
From autonomous farming trucks to agribots, robot milkers, and even harvesting robots, the farming profession is being disrupted.
The use of remote networks and cloud computing servers handed the first major attack on Information Technology (IT) jobs.
Artificial intelligence poses an even greater threat to the IT support profession.
While currently IT support teams monitor and maintain computer systems, these are repetitive tasks that artificial intelligence can perform quickly and efficiently.
As bots take the front lines in the IT profession, repetitive tasks previously done by human IT staff are being automated. To remain relevant, the IT profession will need to embrace AI and take a more strategic approach.
Last week a friend of mine received a call from a bot that was trying to pre-screen whether my friend was interested in buying life insurance. The bot could carry on a conversation and answer questions.
When the bot could not answer a question, it transferred the call to a human representative.
That’s right, bots can now handle complaints and questions; this has led many companies to adopt automated digital receptionists to take calls, direct calls and provide support.
Prepare to be blown away by A.I. assistants. For example, Google Duplex is an AI that can book appointments, carry on a conversation while understanding the nuances of human-to-human communication.
To make this possible, Google Duplex brings together Automatic Speech Recognition, deep learning, translate speech to text technology, and Natural Language Processing.
Perhaps the most surprising part about Google Duplex is that most humans cannot tell they are actually talking to an AI.
Qualtrics published a survey where they asked questions to 250 market research decision-makers about the impact of AI.
The research shows nine out of 10 market research decision-makers think that artificial intelligence (AI) will have a significant impact on the industry within the next 5 years.
While 93% of professional researchers see AI as an opportunity rather than a threat, they estimate that AI will replace the following jobs within their field.
Statisticians 95% chance of being replaced by AI
Research analysts 94% chance of being replaced by AI
Data scientists 65% chance of being replaced by AI
Market Analysts 60% chance of being replaced by AI
Artificial intelligence tools can now interpret data, recognize trends and predict market moves better and faster than any human analyst. Thus, Analyst roles are already being automated in industries such as banking and investment companies, wall-street and beyond.
Oxford University predicted in 2013 an 84 percent chance that AI will replace security guard occupations by 2033. There are significant advances already made in this front.
For instance, by using heavy surveillance and sensors, Amazon Go stores have eliminated the use of cashiers and security guards in their stores.
There are no line-ups and no check-outs. As Amazon advertises it, you simply walk in and Go!
When it comes to vandals and thieves, facial recognition cameras can now identify people such as fugitives in the middle of large crowds.
For example, in 2018 a facial recognition camera spotted a wanted man in a crowd of 60,000 fans at a Chinese concert by Cantopop legend Jacky Cheung.
By 2030 facial recognition technology, big data, and surveillance equipment will have significantly diminished the need for security guards.
What do we do when AI changes the functions of the job? That’s where the real risk lies and data entry jobs are about to become irrelevant in the era of AI.
Computer-automated processes can scan and enter bulks of data faster and more reliably than humans; AI tools can also recognize patterns and make data available in real-time.
For instance, if a company like Walmart sells and item, a computer system can automatically update inventory, process a request to refill the shelves and order a new item from the factory, all without needing the intervention of a human.
Data entry jobs are repetitive and of limited scope; that makes it an occupation that’s perfect for automation.
This job is not sticking around for humans much longer.
John Pugliano, author of the book “The Robots are Coming: A Human’s Survival Guide to Profiting in the Age of Automation”, indicates that Robo-advisors and investment algorithms are replacing the financial planner profession.
This disruption has forced big investment companies to invest in Robo-advisor technology, and lower their management administration fees so that they can remain competitive.
By 2030 Robo-advisors and their algorithms will become much more advanced to the point that we will ask “what does the AI think?” before making buying or selling investment decisions.
Even things such as who will win the next Oscar for best actor/actress can be predicted quite reliably by AI.
So if you’re a financial planner start learning how algorithm work because the future will belong to those who understand code.
Who would have thought artificial intelligence would find its way into the kitchen?
Have you heard of Chef Watson? Created by IBM, Chef Watson is a cognitive computing application that helps you create entirely new recipes (or existing ones) using its vast knowledge of chemistry, flavor, and taste. Bon appetit!
Imagine having a top Chef standing beside you in the kitchen teaching you how to cook your favorite food and discovering new ideas.
Some global top restaurants are also introducing what is now called a robotic kitchen. For example, “Spyce”, a restaurant in Boston has replaced human chefs with robot cooks in an effort to stay relevant this now fast-paced technological world.
Some people may think, “A robot in the kitchen? No way”; yes, way. The reality is, learning recipes, cooking, and even cleaning the mess are repetitive tasks that robots can handle effortlessly.
Although the Chef profession is still stable, many of the tasks human chefs now do such as cooking a steak, making bread, and more, can and will be handled by a robotic chef.
The current most popular translator apps are iTranslate, Google-translate, and Baidu’s translator. These apps use AI-powered technology to translate to other languages.
What is most remarkable is that the apps could predict words the speaker is about to say similar to how professional human translators interpret language. For instance, what comes after “I am … (hungry?).
Google translate goes a step further and can translate while keeping your own voice by using network voiceprints from the language being spoken to the language being translated to.
One drawback is that while a human interpreter can correct a translation, an AI-powered tool cannot correct errors.
However, machine learning AI is continuously learning language patterns; this allows the AI to get better and better at accurately translating language in real-time.
All too often, experts in radiology disagree when predicting things such as cancer. AI can make it better.
There is a big debate about whether AI and deep learning will replace human radiologist professionals who read pathological images to diagnose diseases such as tuberculosis, or cancer.
One the one side, radiologists claim that because about half of their job includes consulting with other physicians on diagnosis, and treatment for each patient, AI will never replace this profession.
On the other side, it is apparent that AI algorithms can analyze images faster, more efficiently, and with at least the same accuracy as the most experienced radiologists.
Thus, in a not-too-distant future, AI will take over the reading and the interpretation and diagnosis away from radiology professionals.
Radiologists who embrace AI will likely not lose their jobs, but for those who reject it will be at risk of losing their jobs.
Like accountants, lawyers, financial planners, data scientists, and other professions, those who embrace smart machines will find that technology will add value to their jobs rather than replace them.
Nevertheless, it is a massive change that will result in some professionals who will thrive in the face of change, while others will be left behind.
In a study conducted by the Pew Research Center, 55 percent of respondents said losing a library would be a blow to their community. Yet, library attendance is down 30 percent in the last 15 years 1. As people often say, if you don’t use it, you lose it.
The internet and search engines like Google have made information accessible “at our fingertips”. Because of this, demand for the librarian profession is diminishing.
To stay relevant, libraries will have to adapt by digitizing their records so that information can be easily searched.
Now let’s face it, libraries are more than just books, but a compendium of knowledge and our values; so there is plenty of room to evolve the librarian occupation.
The librarian profession also helps patrons with tech literacy or to complete resumes, and that’s not something an AI robot could replace humans at any time soon.
Advances in robotics are re-shaping the construction industry.
For example, New York-based Construction-Robotics created SAM (Semi-Automated Mason); SAM can lay 3,000 bricks per day and it does not need to take a break.
They also built MULE, a robotic arm that can pick up stones, tools, and panels up to 135 pounds, eliminating physical strain on human construction workers.
We will always have construction jobs, but the industry is going to be disrupted by artificial intelligence and advanced robotics.
One roadblock is that robots sold by Construction Robotics currently range from $75,000 -$500,000.
However, the advantage of robots being able to work nonstop without getting tiered might tip the scale giving rise to massive automation in the construction industry similar to what we have seen in the car-making industry.
Sales jobs aren’t completely going away, but AI is going to evolve them; this inevitably leads to some sales jobs being lost and some others being created.
Over the last decade, we have seen sales jobs become more intertwined with technology.
A recent study published by McKinsey claims that more than 47% of day-to-day tasks of sales jobs can be automated by technology that exists today.
The telemarketing profession particularly is going through a metamorphosis and it’s diminishing the number of jobs rapidly in part because AI tools like Google Duplex can be used to obtain leads just as effectively as humans could.
Most travelers today are tech-savvy customers; they search online for good best deals, rely on previous customer reviews, and use flight comparison platforms like Google Flights.
According to booking.com, almost a third (29 percent) of travelers say they are comfortable with letting a computer plan their trip based on their travel history, and 50 percent of travelers said they don’t mind having to deal with an app or computer as long as their questions are answered.
TUI Group, the world’s largest travel agency, and others already offer personalized trip planning service that asks users their preferences across various categories. Using the list of preferences, the system then suggests places to visit, activities to try and more, all without the assistance of a human travel agent.
While the travel agent profession continues to diminish, a new career is on the rise. The Occupational Outlook Handbook predicts increased demand for human travel agents who specialize in custom packages such as corporate or luxury deals.
Did you know that many news focused platforms are now using AI programs to produce thousands of news stories just like journalists or reporters?
That’s right, some articles you read online might have been written by an AI algorithm.
Bloomberg News is using a program called “Cyborg”; Forbes is using “Bertie”; the Washington Post is using a program called “Heliograf”; you get the idea. Many news organizations are now using AI applications to report news.
If you thought an algorithm could not write compelling stories, think again. Similar to how an AI can be great at doing legal research, the same AI could do investigative journalism faster and more efficiently than any human.
This is not something that might happen in the future; it is already happening today, and there is no way of telling what stories were written by a human vs. by AI.
In China, they are even using artificial intelligence news anchors to deliver TV news.
Now, as I have highlighted a few times in this article, the key is to adapt. A bot that can perform research and analyze statistical data comes in handy for a human journalist, but you have to adapt to take advantage of what AI can offer.
A prime example where robots have already replaced a big number of machine operation occupations is the car manufacturing industry; about 50% of all robots used to-date are used to build cars.
However, this is beginning to change as more manufacturing companies are buying collaborative robots (Cobots) to perform specific tasks.
For instance, Metro Plastics Technologies Inc. is a family-owned factory in Indiana (USA).
The company reports that they have bought their first autonomous robot to carry parts from the production area to quality inspectors. That was a job that was previously done by a human worker driving a forklift.
Cobots can automate a variety of tasks performed in professional machine operators. Those without college degrees will suffer the most as opposed to their counterparts.
A recent report by research firm Autonomous predicts that the insurance profession will lose 2.5 million jobs by 2033. The reason is artificial intelligence.
AI is set to disrupt the insurance industry by identifying personalized patterns that reduce risk; algorithms can issue quotes, and draft insurance contracts, effectively removing the middle person (the insurance broker).
Technology companies like Facebook, Google, and China’s search engine giant Baidu have been planning to enter this space.
For example, Baidu’s president Ya-Quin Zang shared in an interview that the Chinese search engine giant will start creating insurance plans and enter the consumer loan space.
Advanced algorithms can build precision-based policies that could mean vast savings for both the insurer and the insured, all while eliminating the broker’s commission fee.
Can machines augment performance beyond our human abilities? Sports have for a long time been at the leading edge of predicting performance.
However, coaches currently make key decisions on strategy primarily based on intuition, gut feeling or experience; AI promises to take the game to a whole new level.
Machine learning can improve competitive advantage. It can analyze real-time performance, predict outcomes and build strategies designed to beat an opponent.
The key is data. That’s right, information is the next battleground. AI tools can help predict not only what the future will be but also what it should be while helping us make faster and smarter decisions.
Machine learning will give us tools to help us augment performance in areas where predicting the outcome can have a big payout; the areas where those tools can be applied range from finance, sports, health care, manufacturing and more.
According to the Bureau of Labor Statistics (BLS), the insurance underwriting profession will experience a 6 percent decline from 2018-2028.
For example, Swiss Re has partnered with IBM to use IBM’s cognitive computing system, Watson. The aim is to use artificial intelligence tools to perform repetitive tasks in the underwriting process.
While human underwriters assess applications at a point in time (a picture); AI gives a dynamic, three-dimensional view, much like a movie because it renders an augmented view of an applicant’s real situation.
This non-traditional approach to assessing risk provides banks and insurance companies with tools that convert big data into actionable insights that are changing the way we approach underwriting.
Companies are increasingly using AI and machine learning to hire new employees and handle daily human resources tasks such as employee training, performance reviews, performance measurement and more.
For example, IBM claims they have saved almost $1 billion since 2011 by automating certain human resources tasks. Their AI human resources system can even predict when an employee is going to quit.
IBM receives more than 10,000 job applications per day, so having a machine learning tool helps IBM sort through thousands of applicants to find the right ones.
Restaurants worldwide are introducing robots as wait staff. I know it sounds far-fetched, but it’s already happening. You can order your food using a touchscreen electronic menu.
When the food is ready, a robot carries the dishes to your table where a human waiter picks it up and places it on your table. That means instead of a waiter/waitress serving four tables, he or she can serve double or triple the number of customers.
E-commerce giant JD.com announced plans to open 1,000 restaurants by 2020 where food is prepared and served by robots.
Most people think computers are not capable of producing creative work. However, computers can now create music, write books, screenplays, poems, and even create art.
In 2018 a painting generated by an A.I. art collective sold for $432,500 at a Christie’s auction. When it comes to music, artificial intelligence can combine melodies and sounds until it finds just the right mix.
All artificial intelligence needs to create music is a library of sounds, lyrics, poems, and songs. Then it can use that data using machine learning algorithms to mix different sounds and create what could become the next hit.
Don’t believe it? Meet AIVA, an artificial intelligence application capable of composing soundtracks, video games, and video content. This is only an example; there are many other applications available.
The Bureau and Labor Statistics estimates that 80,000 fast food jobs will be gone by 2024.
Amazon Go has opened stores without cashiers or registers. You simply walk in, pick up the goods you want and leave; there are no lines, no checkouts, and no cashiers.
What’s the catch? There is none.
You scan the Amazon App to enter the store and Amazon’s artificial intelligence does the rest. There are cameras and sensors all over the store that feed the information to a deep learning algorithm that tracks the items you take and adds them to a virtual shopping cart.
Amazon calls it “just-walk-out” technology. As soon as you leave the store, the AI charges your Amazon account and sends you the receipt. It’s only a matter of time before all stores catch up to replace all cashier human occupations.
Zume Pizza is a one-of-a-kind company that is revolutionizing the industry by automating the pizza-making process.
Zume even has named their robots. While Pepe and Giorgio dispense the sauce, Marta spreads it, and Bruno puts it in the oven after a human lays over the toppings.
Each oven is also robotic and they are connected to an AI that predicts orders based on factors such as day of the week, time of the day, what’s on TV, and even the weather.
The company has become enormously successful and other pizzerias are paying attention. It’s only a matter of time before all pizzerias are fully automated.
Brick and mortar stores employ millions of workers but they have been suffering for years. While foot traffic at malls continues to drop every year, spending continues to rise. Clearly, consumers are opting to shop online.
The shopping experience continues to increasingly move online.
Amazon proved the concept; now giant retailers from Wal-Mart to P&G, and Target are making big investments in artificial intelligence applications.
AI applications allow retailers to predict consumer behavior and present suggestions more effectively than the outdated shelves in brick and mortar stores.
The ease of shopping from the comfort of home is enticing shoppers to skip crowded stores and buy online. In turn, this creates a ripple effect that results in diminishing the number of jobs in the retail sector.
Office clerks have been a part of popular culture going way back to Bob Cratchit in Charles Dickens’ A Christmas Carol or recent roles played by characters on The Office.
Clerks handle a variety of support tasks around an office, including answering phones, typing documents and filing records.
The profession is shrinking as more of that work is automated. For example, in Japan, Fukoku Mutual Life Insurance has replaced 30 insurance support clerks with IBM’s Watson Explore.
IBM’s cognitive computing system Watson can be used to analyze and interpret data in various formats such as text, audio, and video. Fukoku Mutual is using this AI system to process insurance claims faster and more efficiently than using human clerks.
The postal worker occupation used to be a prime example of a stable middle-class job, but that is changing rapidly.
The Department of Labor estimates that this industry will drop by 33.7 percent from now to 2024 leaving just about 78k human postal workers vs. double that amount ten years earlier.
The reason is increased automation.
Couriers and delivery workers are being replaced by delivery services such as Amazon’s ‘Prime Air Service’. Prime Air uses autonomous drones and robots dispatched from fulfillment centers directly to your front door.
You can find a description of companies that are already making deliveries with robots or drones in this report.
Remember, robots don’t pay taxes, we do. While automation will replace many tasks and professions now performed by humans, new jobs will be created. However, some people will come out on the losing end.
The future professions will be two types; the ones that use AI, and the ones that don’t. For the ones that do, great, progress is coming; however, for the ones that don’t AI will be tarrying.
Well, because by 2030 it will be a Brave New World with artificial intelligence at the core of our daily lives.
What can people do?
First, do not resist automation. Progress will continue with or without anyone of us – embrace it. Early adopters who embrace AI will become invaluable professionals ready to take on the new era, while those who resist it will be left behind.
Economists agree that millions of jobs will be lost and professions diminished, but millions of new occupations will arise. The general agreement is that human workers will require more training to keep up with technological change.
Some tasks are hard for an AI to do; those tasks include interaction, communication, teamwork, leadership, and judgment. By focusing on the right tasks, profession and with some training and dedication, you’ll be set to delve into the future with confidence!
While up to now we’re have struggled with exploitation, in the future, we will struggle with becoming irrelevant. It’s an interesting concept, but becoming irrelevant is a lot worse than being exploited.
There is a risk that not only entire professions, jobs, and workers will become irrelevant, entire societies are particularly vulnerable; less advanced societies risk becoming data colonies, exploited by the more advanced societies that collect data to exert ever more control.
We need to design a social contract that makes the changing nature of the digital age work to our advantage instead of the other way around.
If we embrace AI and learn how to use technology to our advantage, AI will unquestionably advance our professions.
AI will transform all of our jobs and will replace many of the tasks we do daily.
Think about it, when the internet was born, many people felt fearful of losing their jobs, but instead, the internet created many new, more rewarding occupations.
Humans will continue running the show. AI tools are just that, tools that make us faster, smarter, and stronger; thus, it has the potential to augment our abilities beyond our current human capabilities.
The question we face is, what do we do with those newfound powers AI will give us?
It is not a blue pill or a red pill decision!
We need to decide whether we choose to leverage what AI offers to advance our professions, or ignore it and be left behind.
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