AI: The Revival of the Middle Class

+AI-The-Revival-of-the-Middle-Class+

An interesting story

Jeff had been a factory worker for over 20 years, until the company decided to automate their assembly line. Jeff, along with hundreds of other employees, was laid off without any severance pay. He spent months looking for another job, but with his limited skill set, he found it difficult to compete with younger and more qualified job seekers. Jeff's story is not unique. The rise of automation and AI has led to a widespread belief that jobs are being lost at an alarming rate. However, recent studies suggest that the situation is not as dire as many believe.

According to a report by McKinsey Global Institute, while between 40 million and 160 million jobs may be lost due to automation by 2030, up to 375 million new jobs could be created. These jobs will likely require skills that are more technical in nature, such as programming and data analysis. Moreover, AI has the potential to increase productivity, reduce waste, and improve safety in industries ranging from healthcare to agriculture. In fact, the report estimates that AI could boost global economic output by up to $13 trillion by 2030.

A recent study by the Brookings Institution found that AI is not necessarily replacing low-skilled workers, but rather augmenting their abilities. For example, AI-powered tools can assist warehouse workers in locating products more efficiently, improving their productivity. Similarly, machine learning algorithms can help financial analysts make more informed decisions by analyzing large amounts of data. The study suggests that AI can help create a more diverse and dynamic workforce by allowing people to focus on tasks that require creativity, critical thinking, and interpersonal skills.

Studies Suggest That Rather Than Killing Jobs AI Could Revive The Middle Class

  1. AI has the potential to create more jobs than it eliminates.
  2. AI can enhance the abilities of low-skilled workers.
  3. AI can create a more diverse and dynamic workforce.

and Case Studies

Adriana had worked as a cashier at a grocery store for over a decade. When the store implemented self-checkout machines, Adriana initially worried about losing her job. However, the store decided to keep her and other cashiers on staff to assist customers who preferred traditional checkout. Adriana was given additional training to help customers with the machines and was even promoted to a management position where she oversaw the self-checkout area of the store. AI had not only allowed her to keep her job but had also provided her with new opportunities and skills.

Another example is John, who had been a truck driver for many years. He was concerned that self-driving trucks would eliminate his job. However, John learned that self-driving trucks would likely only handle long and monotonous stretches of highway, while human drivers would still be needed for last-mile delivery and navigating urban areas. John was relieved to know that his job was safe and began exploring opportunities to learn how to operate the new technology, which increased his value to his employer.

Practical Tips

Curated by Team Akash.Mittal.Blog

Share on Twitter
Share on LinkedIn