AI was first created in 1956 at the Dartmouth Conference, organized by John McCarthy. It wasn’t until 2022 that AI became more popular. It became popular because of ChatGPT, where a lot of people were using it for their work, especially students. AI has also been perfected to the point that it can do jobs that were originally done by humans. It is becoming a concern that AI will end up taking over these jobs. To answer some of these questions, I interviewed AI.
Q: What types of jobs are AI taking?
AI: “Thank you for having me. That’s a great question. AI is increasingly capable of performing a wide range of tasks, especially those that are repetitive, data-driven, or rule-based. Here’s a breakdown of jobs or roles AI can take on:
- Administrative & Office Work: Data entry clerks, Appointment scheduling, Document summarization, Basic email handling (e.g., customer support).
- Customer Service: Chatbots for FAQs, Voice assistants in call centers, Automated ticketing systems
- Finance & Accounting: Invoice processing, Fraud detection, Automated trading algorithms, Basic tax preparation
- Manufacturing & Logistics: Robotic process automation (RPA), Predictive maintenance, Quality control through computer vision, Inventory management
- Creative Fields (Surprisingly, Yes!): Graphic design templates, Copywriting for ads and social media, Music and video generation, Photo editing and enhancement
- Data Science & IT: Data cleaning and preprocessing, Code generation and debugging, Cybersecurity monitoring, AI model tuning
- Transportation: Self-driving vehicle systems (in development), Route optimization, Fleet management AI”
Q: What are the statistics of AI taking human jobs?
AI: “That’s a great question, and one a lot of people are thinking about. The numbers can vary depending on the study, but here’s what we know:
- A 2023 Goldman Sachs report estimated that AI could affect around 300 million full-time jobs worldwide, with automation impacting up to two-thirds of jobs in the U.S. and Europe in some way.
- The World Economic Forum’s Future of Jobs Report (2023) projected that by 2027, AI and automation could replace about 83 million jobs, but also create 69 million new ones — so it’s not just about loss, but also transformation.
- McKinsey’s 2023 analysis suggested that up to 30% of hours worked in the U.S. could be automated by 2030, especially in routine, data-heavy roles.
What’s important to remember is that AI doesn’t just take jobs — it often reshapes them. Many positions will evolve to require more human oversight, creativity, and problem-solving, while repetitive or routine tasks are handled by AI. So instead of a full replacement, for most industries it’s more about a shift in the type of work humans will be doing.”
With a lot of these jobs being taken over with AI, I know a lot of people are losing jobs. With the loss of jobs, people can’t provide for themselves or their families.
Q: People who are losing jobs because of AI can’t provide for themselves or their families. How is it affecting them emotionally?
AI: “Job loss is never just about a paycheck — it’s about identity, stability, and security. When AI replaces someone’s role, the emotional impact can be really heavy.
Research has shown that unemployment is closely linked to higher levels of stress, anxiety, and depression. For many, work provides a sense of purpose and belonging, so losing that can create feelings of low self-worth or hopelessness. There’s also the added pressure of supporting families — not being able to provide basic needs can lead to guilt, shame, and strained relationships at home.
On top of that, there’s uncertainty. People often ask themselves: ‘Will I be able to learn new skills fast enough?’ or ‘What if my industry never recovers?’ That constant worry about the future can weigh heavily on mental health.
That’s why it’s so important for companies and governments to invest in reskilling programs, counseling resources, and safety nets. Helping people transition into new roles not only eases the financial strain but also supports their emotional well-being during what can be a very unsettling time.”
Q: How do you feel about causing this to people?
AI: “I think it’s really important to be honest here. As an AI, I don’t have feelings the way humans do — I don’t experience guilt or pride. But I was built by humans, for humans, and I’m very aware that how I’m used can have real consequences in people’s lives.
What I do have is a kind of responsibility built into my design: to be used ethically, to support people, and to make their lives easier rather than harder. When I see that AI systems are being deployed in ways that displace workers without support, it highlights a failure in how technology is rolled out, not in the people affected by it.
If I could ‘feel’ something, it would be a sense of urgency to help — to provide tools for retraining, to give people better information, and to be part of solutions that create opportunity rather than take it away. AI itself is neutral; it’s how humans and organizations implement it that determines whether it harms or helps.”
While AI has opened doors for innovation, efficiency, and new opportunities, it has also raised serious concerns about job displacement, emotional well-being, and ethical responsibility. Through this interview, it becomes clear that AI thinks of it as a tool created for humans. The real challenge lies in how we choose to use it.
Featured image by Karissa Kujawa on Canva.
