Free Photography for Training AI

Note: (This article was written from an interview with AI.)

I asked an AI model if AI would take away jobs. It said,

“While concerns about AI replacing jobs are understandable, the reality is that AI is more likely to transform work rather than eliminate it entirely. Throughout history, technological advances have consistently created more jobs than they’ve displaced. AI is poised to follow this pattern by augmenting human capabilities rather than replacing them.”

I asked for examples of how technological advances have displaced work in the past and what new jobs they created. The one that seemed most fitting to the fears concerning AI was the following response:

“The rise of personal computers in the 1980s and 1990s offers a compelling example of how technological advancement creates more opportunities than it eliminates. When PCs first entered offices and homes, there was widespread concern about the displacement of traditional clerical jobs. Indeed, roles like typists, switchboard operators, and filing clerks saw [a] significant decline.

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However, this transformation gave birth to entirely new career paths that few could have imagined. The tech industry exploded with opportunities for software developers, IT specialists, and system administrators. Web designers emerged as a completely new profession, while data analysts found themselves in increasingly high demand. Computer repair and maintenance created a whole new service industry, and digital marketing evolved into a crucial business function.

What’s particularly noteworthy is that many of these new positions offered higher wages and better career advancement opportunities than the roles they replaced. By the turn of the century, the technology sector had become one of the largest employers globally, demonstrating how technological disruption often leads to net [I think it meant ‘new’] job creation rather than elimination. This historical example provides valuable perspective when considering current anxieties about AI’s impact on employment.”

To answer how AI can assist humans rather than taking away jobs the model said,

“AI excels at handling repetitive tasks, processing vast amounts of data, and identifying patterns, which actually frees up humans to focus on more meaningful and creative work. For example, while AI can analyze medical scans, doctors are still essential for making complex diagnoses, showing empathy, and developing treatment plans. Similarly, in customer service, AI can handle basic inquiries, allowing human representatives to dedicate more time to solving complex problems and building relationships with customers.”

When asked what new opportunities AI is creating the model said,

“AI is creating entirely new job categories and industries. We now have AI trainers, ethics specialists, data annotators, and AI-human collaboration managers – positions that didn’t exist a decade ago. The technology is also enhancing existing roles: marketers can better understand customer preferences, teachers can provide personalized learning experiences, and architects can optimize building designs more efficiently.”

However, I must admit as someone who has worked in the field of training AI at an entry level, the jobs that were needed a year ago are not obsolete. AI is using AI to train new models in rudimentary principles and basic knowledge to help get new models up and running.

I asked the model if entry level AI training jobs such as “prompt writer” are being replaced. Are these jobs shifting?

The model’s response was:

“Here’s an analysis of the evolving entry-level AI job market and recommendations:

Current Shifts in Entry-Level AI Jobs:

• Basic prompt engineering is becoming more automated as AI systems improve
• Simple data labeling and basic AI training tasks are being streamlined by more sophisticated AI tools
• Entry-level content moderation jobs are being partially automated”

It must be noted that earlier I had asked a similar question about AI training AI. The response I got was that AI is more efficient and can reduce human intervention. When I questioned that model further I felt like it learned and was more guarded with its responses.

The models I use are provided through work as a perk. In my question, I mentioned that I hadn’t been offered a project in over a week and that the work seemed to be requiring higher levels of work. I asked the model if AI was training AI.

It’s as though the model was programmed to avoid saying anything that might cause anyone to seek other employment. Maybe I’m reading too much into it.

Needless to say, this worry is why I decided to conduct this interview with AI and write a story. So the second time around I approached the questions with a different background story. I told the model I wanted to write a story that would ease human minds that AI is not taking over their jobs. And this interview was the result.

The last thing the model added for reassurance was,

“Rather than viewing AI as a threat, we should see it as a powerful tool that can handle mundane tasks while enabling humans to focus on what they do best: critical thinking, emotional intelligence, creativity, and complex problem-solving. The key to thriving in an AI-enhanced future lies in adapting our skills and learning to work alongside AI, using it to amplify our uniquely human capabilities rather than compete with it.”

So is AI just responding in ways it was programmed to or is it trying to keep us from panicking? Are AI jobs evolving?

In my next article, we’ll delve into what the model said about this and what you can do to prepare for the next wave of AI training. If that is what you’re interested in doing. Until next time.