This is part three in a four-part series on AI-driven Large Language models for managers. They were written with the help of ChatGPT. I “educated” ChatGPT on the topic and audience, described the posts I wanted to write, provided some details on each post, generated the articles, reviewed and edited them, used MidJourney to generate post images, and posted the results here.

As AI-driven large language models become more prevalent in the workplace, it’s clear that this technology will have a profound impact on jobs. In some cases, it will eliminate jobs that have been performed by people for years. In other cases, it will create entirely new jobs that we haven’t even thought of yet.

Already, we’re seeing examples of both. For instance, a new job called “Prompt Writer” has emerged, where people are paid to write prompts for AI language models like GPT-3. Meanwhile, companies like IBM have let people go because they believe that these tools can do the work that the employees have done in the past.

In the short and medium term, some jobs are more likely to go away than others. For example, jobs that involve routine tasks, like data entry and transcription, are likely to be automated. Other jobs that require a lot of data analysis, like financial analysis and market research, are also at risk.

But as with any significant technological shift, new jobs will be created as well. For instance, there will likely be a growing demand for people who can work with these AI-driven language models to build more intelligent and personalized customer service experiences. There may also be new roles created in fields like cybersecurity and data privacy, as companies seek to protect themselves and their customers from the risks associated with these technologies.

Of course, all of this change will be difficult, and some people will inevitably lose their jobs as a result. But as history has shown us time and time again, society has always adapted to technological change, and ultimately, everything works out fine. Retraining programs and other forms of support will be essential to help people make the transition to the new world of work that’s emerging. But with the right approach, we can build a future where everyone benefits from the incredible potential of AI-driven large language models.


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