No prizes for guessing that the past six months have seen a spike in search interest in the term “will AI take my job?” At the end of July 2022, there were 21 search interests for this term, but by the end of April this year, Google had registered 100 search interests (highest ranking) for this term.
This increased curiosity is likely fueled by the November 2022 introduction of ChatGPT, a now famous AI chatbot model developed by OpenAI. And concerns are accelerating, with technology industry leaders expressing serious concerns about the technology.
In May, Jeffrey Hinton, known as the “godfather of AI,” announced his resignation from Google, saying he now regrets his job and that some of the dangers surrounding AI chatbots are “very frightening.” ” he said. “As far as I know, they're not more intelligent than us at this point,” Hinton said. But I think it might happen soon. ”
His concerns are echoed in a recent statement on AI risks released by the Center for AI Safety. The statement, signed by a group of top AI researchers, engineers and CEOs, states that “reducing the risk of AI extinction is a global priority, alongside other society-wide risks such as pandemics and nuclear war.” “It should be a matter of fact.”
What the average worker wants to know now is whether they will still have a job in a few years. This is not a new fear. In fact, jobs are constantly being lost due to technological advances. For example, a century ago, most of the world's population was engaged in agriculture.
Professional services firm Accenture believes that 40% of all work hours could be affected by generative AI tools, and a Goldman Sachs study found that generative AI tools could save 300 million full-time jobs worldwide. states that it may affect employment.
But it's not all bad news, and it's not far off. The World Economic Forum (WEF) predicts that 97 million new jobs will be created by 2025 to enable humans and machines to work together.
One of those roles is rapid engineering. This refers to the process of designing and adjusting prompts to achieve desired results when using large language models like ChatGPT.
Prompt engineering is very important because it is an essential skill for creating well-defined prompts with the precision needed to provide the right type of output. And like any skill, prompt engineering takes practice, especially as it's an emerging field.
There are very few experts at the moment, but OpenAI is trying to change that with its free ChatGPT Prompt Engineering for Developers course. Designed to teach prompt engineering best practices for application development, participants will discover new ways to use large language models, including how to build custom chatbots, and use OpenAI APIs. practice creating and repeating prompts.
According to LinkedIn data, the number of posts mentioning “generative AI” increased 36x compared to 2022, and the number of job postings containing the term “GPT” increased 51% during 2021. This is a field that will only continue to grow. And in 2022.
Even though Prompt Engineering does not necessarily require programming or specific technical skills, the pay is high, with salaries in the United States reported to be between $230,000 and $335,000.
For those who already have the skills, it's a good time to work in the artificial intelligence field. The Digital Europe Program (DIGITAL) invests in learning and training opportunities that create new AI experts with objectives and specific thematic areas, receiving a total of €1.98 billion in funding.
If you're interested in a new job right now, the Tech EU Job Board is a great place to start. Find thousands of open positions across the technology industry, including these three:
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