5 IT Jobs That AI Has Made Obsolete — and 5 That Can Earn You Money Right Now

Mikhail T. (Sh0ny)

24 июня 2026

1 min read

In short

The IT market is changing rapidly: some specialties are disappearing, while others are just emerging. Let’s take a look at which professions have become obsolete due to AI and which ones are worth pursuing today.

Two years ago, everyone was talking about prompt engineers—a rare profession with six-figure salaries, where the key skill was the ability to communicate effectively with a neural network. Today, such job openings have almost disappeared. The IT job market is transforming faster than job seekers can retrain. We’ve compiled real-world data to help you figure out where to go next.

Professions That AI Has Made Obsolete

Prompt Engineer — Models have come to understand instructions without specific phrasing, so demand for such specialists has plummeted.
Copywriter for simple texts — Content generation for the mass market is fully automated.
Email layout designer — Neural networks create responsive templates in a minute.
Entry-level Tester — Manual testing of basic scenarios has been replaced by AI agents.
Icon and Simple Banner Designer — Generative models handle this faster and more cost-effectively.

Current Opportunities for Earning Money

ML Engineer — Fine-tuning and deploying models into production are required.
AI Security Specialist — Protection against attacks on neural networks and ethics audits are becoming mandatory.
Data Architect — Data quality and infrastructure are critical for any AI project.
AI Product Manager — managing cross-functional teams, with expertise in both NLP and business.
Robotic Process Automation (RPA) Specialist — integrating AI with existing business processes.

Key takeaway: Those who aren’t afraid to dive into technical details and combine skills are the ones who survive and succeed. Versatile “AI communicators” are a thing of the past.

Source: Habr

новости технологии ai разработка

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Professions That AI Has Made Obsolete

Prompt Engineer — Models have come to understand instructions without specific phrasing, so demand for such specialists has plummeted.

Copywriter for simple texts — Content generation for the mass market is fully automated.

Email layout designer — Neural networks create responsive templates in a minute.

Entry-level Tester — Manual testing of basic scenarios has been replaced by AI agents.

Icon and Simple Banner Designer — Generative models handle this faster and more cost-effectively.

Current Opportunities for Earning Money

ML Engineer — Fine-tuning and deploying models into production are required.

AI Security Specialist — Protection against attacks on neural networks and ethics audits are becoming mandatory.

Data Architect — Data quality and infrastructure are critical for any AI project.

AI Product Manager — managing cross-functional teams, with expertise in both NLP and business.

Robotic Process Automation (RPA) Specialist — integrating AI with existing business processes.

Key takeaway: Those who aren’t afraid to dive into technical details and combine skills are the ones who survive and succeed. Versatile “AI communicators” are a thing of the past.

Source: Habr