how many jobs will be lost to automation

[AlanaLynn]

Honestly, the most commonly referenced figure is that 85 million jobs globally could be displaced by automation by 2025, according to the World Economic Forum (WEF). But that’s only half the story. The same report predicts 97 million new roles will emerge in the same period. So, it’s not a simple loss; it’s a massive restructuring of the labor market. From a recruitment perspective, this means the roles we are hiring for today will look very different in just a few years.

For talent acquisition, this shift is critical. The jobs most at risk are those involving repetitive, routine tasks—think data entry, assembly line work, and basic customer service. However, the new roles created will be in areas like AI development, data analysis, content creation, and human-centric skills like caregiving and management. The key takeaway for recruiters is that adaptability, continuous learning, and digital literacy are now non-negotiable candidate traits. We are no longer just filling a job description; we are hiring for a person’s ability to evolve with the technology.

Here’s a breakdown of the projected impact based| Sector | Estimated Job Displacement | Estimated Job Creation | | :--- | :--- | :--- | | Administrative & Office | High (e.g., data entry, bookkeeping) | Low to Moderate | | Manufacturing & Production | Moderate to High (e.g., assembly, quality control) | Low (new roles in robotics maintenance) | | Customer Service & Sales | Moderate (e.g., basic call center roles) | Moderate (e.g., AI training, complex sales) | | Healthcare & Social Work | Low (e.g., diagnostic support) | High (e.g., caregiving, therapy, tech support) | | Technology & AI | Low | Very High (e.g., data scientists, AI ethicists) |

The real question for recruiters isn't "how many jobs will be lost," but "how do we find and assess people who are resilient and capable of a career that will change multiple times?" We need to move away from screening for static skills and start screening for learning agility, critical thinking, and emotional intelligence. Those are the traits that are hardest to automate and most valuable in a shifting economy.

[VonDaniel]

I don’t think it’s about raw numbers as much as a radical shift in skill sets. A lot of people talk about the 85 million figure from the WEF, but I’ve seen reports from McKinsey suggesting that up to 30% of work activities in about 60% of occupations could be automated. That’s huge. The point is, the job itself might not vanish, but up to half of its tasks will. So for a recruiter, it’s about finding candidates who can handle that kind of task-level change. The real risk is for people who refuse to upskill, not for entire job categories.

[McDaniela]

I’m more worried about the quality of hiring than the quantity of jobs lost. Honestly, if automation kills the boring, repetitive tasks, that’s a win. The real danger is that we’ll use bad AI to screen candidates. Think about it: if your hiring algorithm was trained on past data that was biased, it will just automate that bias at scale. So we might lose more good candidates than we lose jobs. The number of jobs lost to automation is one thing, but the number of careers derailed by a poorly designed ATS (Applicant Tracking System) is a bigger, scarier unknown.

[AugustDella]

Looking at the data from Pew and McKinsey, we’re talking about a structural shift, not a simple headcount reduction. Something like 20% of the workforce could be in high-change roles where their tasks are half-automated. The "lost" jobs are often the ones we don't want anyway—repetitive, dangerous, or low-value. The real challenge is the skills gap. We’re going to lose some roles, but we’re going to have a massive shortage of people who can build, manage, and maintain those automated systems. For recruiters, that means the war for talent is just shifting from general labor to high-tech and high-touch skills.

[KinsleyFitz]

I think the "lost jobs" narrative misses the point entirely. It’s not about a net loss; it’s about job churn. The WEF data is clear: 85 million lost, 97 million created. That’s a net gain of 12 million, but the transition is brutal. The people who lose the 85 million jobs are often not the same people who can fill the 97 million new ones. That’s the real problem for recruiters. We’re not just hiring; we’re trying to reskill a workforce. The number isn't scary,