Today is Global Talent Acquisition Day, and it’s a fitting time to appreciate the people who do this work. When Employment Enterprises opened its doors in 1980, filling a job was handled in a completely different way. It involved placing a classified ad in the newspaper, waiting for mailed resumes, and hiring a recruiter who knew local candidates by name. Almost 50 years later, the process is almost unrecognizable and employers are wondering how to balance AI and the human touch in hiring.
To understand how talent acquisition has changed, picture a filing cabinet emptying out over time. Mailed applications gave way to faxes, then emails, then applicant tracking systems. Now, recruiters are using tools that can read a thousand resumes before lunch.
But what hasn’t changed is the reason any of it matters. We’re in the people business, and keeping the human touch in our process is the key to our win-win-win playbook.
From Classifieds to Algorithms
In the early years of our business, hiring moved at the speed of paper. A company posted a job opening in the Sunday paper and candidates mailed or dropped off their resumes in person. Recruiters kept their best contacts in a Rolodex! Time-to-fill covered weeks—not because anyone was slow, but because information itself moved at a slower pace.
Then the internet rewrote the script. Job boards started in the mid-1990s, and LinkedIn transformed professional networking in the 2000s. Applicant tracking systems became standard equipment in HR departments everywhere. Suddenly, a single job posting could easily reach thousands of people. While this solved the problem of finding enough candidates, it created a new one.
Today, the challenge is sorting signal from noise. The prevalence of AI tools means that every AI-generated resume starts to look the same… so telling real fit from polished sameness has become a skill in its own right.
What AI Has Changed for Hiring
AI has changed modern recruiting completely. These tools can source passive candidates and screen resumes against a role in seconds. They can schedule interviews with multiple candidates without a slew of back-and-forth emails. And recruiters can draft a set of emails in minutes that used to eat up an entire afternoon.
In LinkedIn’s 2025 Future of Recruiting report, 73% of talent acquisition professionals said they expect AI to change the way organizations hire. And SHRM research shows the payoff is already real. Among organizations using AI tools, more than two-thirds say that their time to fill roles has improved. For teams under pressure to hire faster with fewer resources, that speed is a massive benefit.
But note that while AI has changed how the work gets done, it hasn’t eliminated the importance of human expertise. A screening tool can tell you who checks the boxes, but it can’t tell you which candidate will thrive on a small team or why someone’s career gap is a strength. Those instincts are also what makes skills-based hiring work in practice. Judgments like looking past the paper for what a person can actually do will always be human assets.
The Tech and Touch Approach
This balance is the idea our whole process is built around. We use modern tools, including AI and automation, to handle scale. The sourcing, sorting, and scheduling tasks that technology does well. Then we enable experienced recruiters to spend time on the tasks where they matter most. They talk with candidates, learn what a client’s team actually needs, and read the human signals a resume can’t capture. The technology will never replace our people; it just helps them do their work better.
For example, a screening tool might rank two candidates almost identically because their resumes list the same skills. But a recruiter who has spoken with both can tell that one is actually leading the team they are on while the other is coasting through their day-to-day. That context never shows up in a keyword match, yet it will decide whether a placement lasts one year or five.
When AI Inherits Blind Spots
There’s another reason the human layer matters: AI learns from historical data, and hiring history is not neutral. If it’s not trained well, a screening algorithm can reproduce the very biases companies have spent years working to overcome. For example, a large company recently scrapped an AI tool after realizing that it had taught itself to dismiss resumes that used the word “women’s.” No one designed it to discriminate—it just learned from the past and repeated it.
The takeaway is to supervise technology responsibly. Good tools can help by applying the same criteria to every applicant, but only when someone is checking that the criteria are fair in the first place. Regulators have made it clear that employers are responsible for hiring outcomes whether a person or a machine made the call.
At Employment Enterprises, we always keep humans involved in the decisions that matter. We build our processes to open doors to qualified talent instead of closing them.
Almost Five Decades, with One Constant
The tools of talent acquisition have changed a lot since 1980, and they will continue to change in the future. The goal, though, has always been to connect the right person with the right role, in a way that serves the candidate, the client, and our business. Technology has made that win-win-win scenario more reachable than ever. It’s also made experienced human judgment more valuable, because someone still has to interpret both data and signals.
The companies that hire well are those that let people and technology each do what they do best. So on Global Talent Acquisition Day, the celebration is about the people, on both sides of the hire, that these AI tools exist to serve.