The reason behind the loss of over 77,999 tech jobs to AI in 2025 is primarily due to the rapid advancement of AI technologies, particularly large language models (LLMs) and agentic AI. These AI systems are automating tasks traditionally performed by human workers, significantly reducing the need for manual or repetitive work in tech roles. Here are some factors contributing to this trend:

1. AI-Powered Automation of Repetitive Tasks

Routine tasks like coding, debugging, data entry, and system administration can now be efficiently performed by AI agents. AI can process vast amounts of data much faster than humans, handling tasks like software testing or system optimization with minimal human oversight.

2. Agentic AI

Agentic AI (AI agents that act autonomously and make decisions) is evolving rapidly. With frameworks like OpenAI's agents and Anthropic’s MCP, AI systems are increasingly capable of handling complex tasks such as problem-solving, decision-making, and even customer interaction without human input.

3. Generative AI and LLMs

Generative AI models like GPT-4 and Claude are being used for content generation, code writing, and natural language understanding. These models can perform tasks that were traditionally the domain of tech workers, such as creating documentation, designing systems, and even performing some software development tasks.

4. AI in DevOps & IT Operations

With the integration of AI-driven DevOps tools, monitoring, debugging, and deploying software can be automated. AI agents can now monitor servers, detect errors, and even deploy fixes without the need for human intervention.

5. Cost and Efficiency

For businesses, automating tech roles via AI reduces the cost of hiring and training new employees, while increasing the speed and accuracy of processes. As a result, many companies are opting for AI solutions to handle tasks that would traditionally require large technical teams.

6. AI in Product Management and Design

AI agents are also starting to take over tasks in product management and design by generating product strategies, design mockups, and even evaluating user experiences based on real-time data analysis.

Future-Proofing Your Career

While the rise of AI poses a threat to certain job categories, it also opens up opportunities for new career paths. To future-proof your career, learning how to build and work with AI systems is crucial. Here's a resource stack to help you get started: