8 Jobs AI Will Replace and 8 It Won't (Yet)

 

8 Jobs AI Will Replace and 8 It Won't (Yet)


ChatGPT's groundbreaking launch has everyone talking and worrying about how generative AI is changing the way we work. Every new technology will disrupt the job market. But for ChatGPT and similar programs like Google Bard and Microsoft Bing AI, something is different.

Generative AI is a new type of artificial intelligence (AI) that uses algorithms to generate raw text, images, software code, Excel formulas, and even music through simple text queries. 

Generative AI applications like ChatGPT can be “trained” on large amounts of data to generate human-level content in seconds. So the question is, will AI replace your job?

In this article you will understand the AI's Impact on the Job Market, 8 Jobs Most Threatened by AI and 8 Jobs Least Threatened by AI

 

AI's Impact on the Job Market

According to a 2023 Goldman Sachs report, labor markets in the US and Europe "could face significant disruption" once generative AI takes over. A quarter of jobs today could be completely replaced by AI, and two-thirds of all jobs, or 300 million jobs, will be affected by AI automation in a big or small way. 

The good news is that the labor market is slow. A variety of books from Babson College and Basson College, including Tom Davenport, Massachusetsson and AI, are granted by Artificial Intelligence.

In general, these are the edges and automate certain tasks." And even if these goals are completely accepted, people are still necessary.”

This does not mean that some jobs are completely lost. Perhaps faster, Martin, futuristic and "artificial intelligence" artificial intelligence does not mean "artificial intelligence" artificial intelligence.

"Ask you here and ask. How can you study anything else and how do you know your work?" I asked Martin. "If the answer is yes, then your work is sensitive."

 

Here are 8 Jobs Most Threatened by AI

The advent of generative AI has shifted the focus of automation from office workers to white-collar workers. "You don't need robots or expensive machines to automate knowledge-based tasks," says Ford. “All you need is software and an algorithm. That's what ChatGPT brings.”

We've compiled a list (in no particular order) of the eight jobs that AI experts predict will be most vulnerable to AI automation, and eight jobs that will be much more difficult to replace with super intelligent machines, at least for moment.

 

1. Content Marketers

There is an entire industry dedicated to marketing products and services through web articles, videos, and social media posts. Digital marketers write blog posts, produce videos and maintain social media channels for both large and small stores. But this type of targeted content is exactly what generative AI is for. “Content marketers are in trouble,” Ford says bluntly.

There are powerful apps like AI Jasper that generate quick articles, personal emails and relevant Twitter posts with the click of a button.

In addition, Jasper automates many of the other tasks involved in content marketing campaigns, including A/B testing and search engine optimization. Most concerned, according to Davenport, are marketers who specialize in "low-quality content" that doesn't require any further consideration. "AI, by definition, can only perform tasks that are compatible with what already exists," says Davenport. "If you want something completely new, you still have to go to that person."

 

2. Beat Journalists

Certain forms of journalism are already being replaced by AI. Sports reporting in particular lend itself easily to automation. An algorithm can analyze the score of a baseball or basketball game (how many times a player scored, what the winning team did) and generate a 500-word article that tells a compelling, factual story. The same is true for some forms of financial journalism, such as quarterly earnings reports and other business data.

Since 2014, the Associated Press has partnered with an artificial intelligence platform called Automated Insights to publish thousands of earnings reports each year without human reporters. According to the Associated Press, this gives business reporters 20 percent more time to write more in-depth stories.

The same AI program automated AP's NCAA basketball coverage in 2018. During the COVID-19 pandemic, automated news was also used for election results, statistical updates and commentary, but many articles written by AI were found to contain errors.

"Anyone whose job involves sitting in front of a computer and doing predictable tasks repeatedly is going to be very vulnerable to automation, even if it requires skilled typing," says Ford.

 

3. Graphic Artists

If you think all creative and artistic work is immune to automation, you haven't yet met DALL-E 2 from OpenAI, the brains behind ChatGPT. DALL-E 2 generates images in the same way that ChatGPT generates text. Just enter your message (for example, "Create a business card for a flower shop called Daisy Mae's") and DALL-E 2 will instantly generate dozens of different business card designs. According to a professional graphic designer, the results are "crazy" (in a good/scary way).

Graphic designers can look at applications like DALL-E 2 in two ways. In other words, it can be seen as an existential threat that makes human designers unnecessary.

Alternatively, you can use tools like DALL-E 2 to quickly generate visual ideas that can be enhanced by human technology. This is correct. Generative AI will replace graphic artists specializing in quick and dirty design. But there will always be a market for quality work.

Just ask Colorado video game designer Jason Allen, who won a "digitally manipulated photography" contest with an AI image generator called Midjourney. Allen didn't just give instructions. He spent 80 hours creating over 900 versions of his digital masterpiece. Victoria drew a lot of hate online for "cheating," but Allen told the Washington Post that AI is "a tool like a paintbrush." There is no creativity without people.”

 

4. Data Analysts

In the digital world, businesses and organizations are immersed in data, including sales figures, demographics and climate patterns. It is the job of a data analyst to sift through all the data, uncover hidden trends, and make actionable recommendations.

Not all of this work is great. A large part of a data analyst's job is selecting fields and filters and determining the best calculation formulas for classifying data. The good (and bad) news is that AI can now take over the time-consuming tasks. 

Davenport says that, like many other career fields, it requires a high level of analysis and decision-making, but lower-level data analysis, such as financial modeling in investment banking and private equity, can provide the most of the work. . "AI will take over"

 

5. Programmers and Coders

Most experts agree that generative AI is emerging to benefit software developers. AI tools like Copilot eliminate the need for programmers to recode line by line. 

Enter your query and our algorithm can generate high-quality code in multiple coding languages. A paper from Microsoft and MIT found that software developers using Copilot were able to write programs 56% faster than traditional programmers.

In a tech industry already in decline due to mass layoffs, programmers worry that entry-level programming jobs will be replaced by AI. For the software developers who keep their jobs, many will take on new roles as "rapid engineers," with the ability to enter the best notes into automated coding applications.

 

6. Lawyers

"AI is going to have a huge impact on the law," Ford said. "AI and other forms of legal software are transforming the discovery process by determining which documents are relevant to a case." AI also handles much of the contract creation and contract analysis.

Again, this will first automate low-level, repetitive and time-consuming legal tasks, reducing the need for entry-level lawyers, but critics say AI will never replace much of what is done today. That's what lawyers do. This allows lawyers, like other professionals, to spend more time on the big picture and less time on it. (But lawyers using ChatGPT will need to double-check the cited cases, as one lawyer found out the hard way.)

Automated legal services can be an important resource for low-income Americans, 86 percent of whom cannot afford legal representation in civil cases, according to the American Bar Association.

 

7. Warehouse Workers

Over the past decade, Amazon has installed more than half a million robots in its "fulfillment centers," large warehouses that pick, pack and ship Amazon orders. At the same time, Amazon has employed more than a million warehouse workers to ensure that people and machines work together for maximum efficiency.

At the same time, Amazon is investing in robots that can perform skilled human tasks, such as visually identifying small items and removing them from mixed boxes. How long will it take for a company like Amazon to integrate and retain under performing human warehouse workers who need a break from work? Threaten them. ?

"We're going to see automation grow very quickly in a controlled warehouse environment," says Ford. "In about five years, Amazon's warehouses will have a much smaller workforce."

 

8. Radiologists and Medical Diagnosticians

Back in 2016, when ChatGPT was just a glimmer in its creators' eyes, Turing Award-winning computer scientist Geoffrey Hinton said, "We need to stop training radiologists."

This is because intelligent machines equipped with algorithms have become very adept at detecting pathology in X-rays, MRIs and other medical images. 

In 2019, AI radiologists outperformed human doctors in detecting cancer in medical images, detecting 5% more cancers and reducing false positives by 11%. Does this mean all radiologists will be replaced by AI in the next 10 years? That's not accurate, says Davenport.

"I subscribe to the theory that the only people who will lose their jobs in any profession, including radiology, are those who refuse to work with artificial intelligence," says Davenport.

 

Here the 8 Jobs Least Threatened by AI

Despite all the hype surrounding generative AI, there are many tasks that are extremely difficult, if not impossible, to automate.

 

1. Skilled Tradespeople

Think of all the knowledge, agility, and problem-solving skills you need to become a certified plumber or electrician. Of course, there are everyday occurrences, but each situation brings unique and unexpected challenges, both physically and mentally.

Generative AI is as impressive as warehouse and factory robots, but it takes C3PO from Star Wars to replicate the unique skills of a human plumber or electrician,” says Ford. "Building a robot that can do this is science fiction."

 

2. Construction

In the near future, many of the tasks involved in designing and building buildings will be performed using AI software, but when it comes to hammering nails and laying bricks, the construction industry still needs good old-fashioned muscle and humans.

How does he know? Construction will become more modular. This means that individual components are produced outside the factory using 3D printers and other machines and then assembled there.

However, according to a McKinsey report, only 15 to 20 percent of new construction in 2030 will be modular. “For activities that remain the same, it is unlikely that a company will fire a carpenter and introduce a modern robot to do all the work that a carpenter does. 

Instead, machines will perform individual tasks based on their role. These staff must work in employees or hybrids.

 

3. Food Preparation and Serving

A Goldman Sachs report found that at least half of the tasks involved in preparing and serving food cannot be performed by AI or robots. Contrast this with the legal sector, where the report says 40% of jobs could be completely replaced by AI and at least 60% could be filled by machines. That's not to say that automation won't revolutionize the food industry.

Fast food chain White Castle already uses robots to flip burgers and cook fries at some locations. As with any service, Davenport believes that people are willing to make sacrifices for the bottom line. "At White Castle, we don't care if a robot makes the burger, but if you go to a really good restaurant, you don't want the chef to be a robot," he says.

 

4. Psychology and Counseling

More AI applications are being developed for the counseling and mental health sectors. Conversational AI chatbots are expected to represent a $1.25 billion market by 2025.

But Ford says that while chatbot apps like Woebot can offer basic mental health advice and even guide users through exercises like cognitive behavioral therapy, they can't replace human therapists and aren't designed to do so. "I don't think we'll see machines with human-like interaction and communication capabilities in the near future," Ford said.

Other medical tasks that require human interaction, such as nurses and doctors, are unlikely to be replaced by AI.

 

5. Elementary School Teacher

Education is also being changed by technology. Both Davenport and Ford are focusing on exciting innovations such as online learning and AI-based tutoring applications that personalize learning for individual students. But there are inherent limits to what AI can do in the classroom, especially for teaching young children.

 "We need that level of human interaction at the kindergarten and elementary school level," says Ford. "But as students get older, it becomes less important." (Some disagree and emphasize the role of teachers in inspiring and guiding students of all ages.)

Still, Ford sees a day when high school and college AI instructors will be "faster than what human teachers can do."

 

6. Professional Athletes and Coaches

Will NBA fans be rooting for robot LeBron James soon? Not likely to do so. It is virtually impossible to replicate the physical and mental abilities of professional athletes in a car.

That's not to say that athletes and coaches aren't already reaping the benefits of AI. There are apps that track the exact movements of each athlete and provide recommendations to improve performance and reduce injuries.

In the future, coaches will use artificial intelligence to identify their best players, analyze opponents' defensive strategies and make specific training recommendations for individual players. But just like a teacher or a therapist, nothing can replace the human element of a good coach.

 

7. Driver (Current)

This may come as a surprise as there has been a lot of hype surrounding self-driving cars. Are we just a few years away from Uber and 18-wheelers driving all cabbies and truck drivers autonomously? Davenport and Ford say no.

Of course, Waymo already offers driverless vehicle service in select areas of downtown Phoenix, Arizona, and plans to expand to San Francisco and Los Angeles, but the technology "isn't everywhere," said Davenport, who learned of the upcoming acquisition.

Self-driving cars from the 1980s. "The general consensus is that we're about 90 percent there, but the last 10 percent will take time."

Ford agrees, citing the unpredictability of real-world driving and the liability of driverless car companies.

"It's confusing when you end up on a public road with pedestrians, cyclists, dogs and cats," says Ford. "There's no way to control that. It's a difficult thing for self-driving cars on public roads."

 

8. Truly Creative Thinkers

Entrepreneurs, inventors, writers and actors - these types of professions certainly use generative artificial intelligence as a tool, but they are not able to "think outside the box" as defined by ChatGPT. Ford considers "really creative work" the safest bet. We are in the age of AI.

Even as artificial intelligence invades writing, art and music, Davenport argues, people will always be willing to pay a particularly high price for "human-made activities." 

So if AI can generate reports on corporate earnings or election results, it will need human writers to analyze what it means or make a point, at least for now.

Tags

Post a Comment

0 Comments
* Please Don't Spam Here. All the Comments are Reviewed by Admin.