How many will get unemployed, according to ChatGPT?

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The question, “How good or bad consequences the unlimited rise of artificial intelligence will create for humanity” is the trend as ChatGPT is hitting everywhere like a storm. After the recent predictions presented by Goldman Sachs, now a consultancy group directed the same question to ChatGPT.

North America-based outplacement firm (could be described as career consultancy) Challenger, Gray & Christmas asked ChatGPT, created by private AI research laboratory OpenAI, “How many people could it leave unemployed?” The answer to the chatbot for the North American region appeared as 4.8 million. The amount provided by the chatbot is not so problematic about how much employment could chatbot and LLM (large language models) cause (maybe it lied?). However, the amount stands balanced when compared to the global unemployment prediction of Goldman Sachs.

The LLM models created by OpenAI, DALL-E and DALL-E 2 can generate images from natural language descriptions. First released in January 2021, DALL-E uses a version of the language prediction model GPT-3 to generate images through deep learning, following the language input. The tech could be integrated into other systems via API (application programming interface) and open to the public, like ChatGPT.

The recent report of Goldman Sachs indicated that the global employment market could shrink by 18%. Before looking at the industries expected to have the biggest impact, let’s check some of the answers ChatGPT provided. According to the chatbot, it can flip over the below jobs quicker than any other:

  • Customer service representatives,
  • Technical writers,
  • Translators and interpreters,
  • Copywriters,
  • Data entry clerks.

The areas ChatGPT believes it could be most successful are:

  • Data science,
  • Machine learning,
  • Computer science,
  • Mathematics and statistics,
  • Robotics and automation,
  • Business.

Which industries “have to go through change?”

In terms of how AI-based automation technologies will disrupt the global employment market, the Goldman Sachs report provided the below data:

  • 25% of the global employment market could be automated,
  • 46% of administrative jobs,
  • 44% of the legal jobs,
  • 6% of construction,
  • 4% of repairs and 1% of maintenance industries.

The report says that 18% of the global workforce could be eliminated by automation tech. Additionally, in areas and countries heavily industrialised like the US, Japan, Britain and Hong Kong, the loss of workforce may go up o %28.

On the other hand, the emergence of innovative occupations like “prompt engineering” is a positive sign, including good pay. Yet, names including Steve Wozniak, Rachel Bronson and Elon Musk did not hesitate to write a letter about the necessity of ending AI experiments, which may be a vital warning sign.