Automation: The Real Threat to Jobs, Not AI

The Illusion of the AI Threat to Employment

Regularly, alarming studies predict the disappearance of millions of jobs due to artificial intelligence. These announcements spark agitation on social media platforms like LinkedIn and Twitter, where discussions heat up. As a result, many people embark on a frantic quest for careers supposedly safe from AI. Some, like your cousin, even consider venturing into sectors they believe are immune to the rise of artificial intelligence, such as construction.

However, it is crucial to clarify that the threat often attributed to AI is actually due to automation. This distinction, far from being merely semantic, is essential for those looking to invest in relevant skills for the future.

Confusion Between AI and Automation: A Professional Trap

It is common to see the terms "AI" and "automation" used interchangeably, which misleads many professionals. Artificial intelligence represents a technical capability, while automation is the process by which this capability is integrated into a workflow to replace repetitive human actions. Although they are related, these two concepts are not identical, and it is in this gap that most misunderstandings lie.

To illustrate, imagine that AI drafts a first version of a product description. It is automation that, through triggers and templates, decides whether a human should review this draft. Thus, AI generates the content, but it is the automated system that determines its fate.

By understanding this, it becomes clear that what truly threatens jobs is not the AI model itself, but the automated system surrounding it, much like blaming an engine for the decisions made by the assembly line.

Targets of Automation: Repetitive Tasks

Automation does not aim to eliminate entire jobs, but rather to replace specific tasks. It focuses on those that are predictable, repetitive, and follow well-defined rules. Activities such as data entry, invoice processing, or ticket routing are particularly vulnerable to automation. These tasks have been designed to be easily automatable.

A useful exercise to assess your own exposure to automation is to identify the tasks you could delegate to an intelligent intern equipped with a checklist. Tasks requiring human judgment or relational context are, for now, less threatened.

However, many people fail in this self-assessment. Some panic at the thought of losing their jobs, while others feel falsely secure due to their job title. For example, a quality assurance tester capable of critical thinking may be more valuable than a technical director making random decisions.

Learning AI: An Incomplete Approach

The prevailing discourse encouraging the learning of AI to avoid being left behind is relevant but incomplete. While the AI market is experiencing an annual growth of 120%, the truly protective skills are not solely technical. They include judgment and the ability to discern when an AI output is plausible but incorrect.

It is crucial to understand the context to identify what the AI model cannot capture. Being able to explain a decision to a skeptical stakeholder is a valuable skill. Furthermore, understanding the failure modes of automated systems is essential. A system that works correctly 95% of the time may seem efficient, but it is crucial to know how to manage the 5% of problematic cases.

Growing Jobs in an Automated World

It is essential to focus on sectors where employment is growing. Positions related to AI supervision, workflow architecture, process automation consulting, and pipeline design are in high demand. These roles, very real and posted on LinkedIn, offer attractive salaries, reflecting the urgent need for these skills in businesses.

These jobs sit at the intersection of human judgment and automated systems. They require a deep understanding of technical capabilities and context to function effectively in complex production environments.

A subtle yet notable trend is that companies that automate inadequately create additional work. Roles focused on quality control, exception management, and human review are multiplying in sectors where automation has been poorly implemented.

Conclusion: The Importance of Human Judgment

The discussion surrounding the threat of AI to employment often overlooks a crucial point: the real change concerns automation, which allows companies to do more with fewer human resources. This is not necessarily negative, but it increases the value of human judgment, contextual thinking, and oversight.

For those looking to invest their time and efforts, it is essential not to settle for merely learning technological tools. It is equally important to understand the systems in which these tools fit, as this skill will remain relevant in the face of future technological developments.