Imagine a hiring manager pulling up the job description for a junior analyst role she last posted two years ago. She reads down the list: compile weekly reports, clean the data, draft first-pass summaries, answer routine queries. Most of it is now done by an AI tool before her first coffee. So does she still need to hire anyone? And if she does, what should she be looking for?

We hear versions of this question from clients every week at Techgene. The honest answer is that the work hasn’t disappeared. It has moved up the value chain, and so has the person you need to hire.

The short version, if you’re in a hurry

• AI is trimming tasks, not wiping out hiring, so don’t freeze your plans.
• Hire for judgment, because routine work used to hide how much of it a role needs.
• Hire domain experts who use AI inside their craft, rather than collecting “AI people.”
• Hire the builders who connect AI tools to your real systems.
• Hire the people who check the machine: QA, security and governance.
• Keep a path for juniors, but redesign the role around thinking.
• Hire against skills, not buzzwords.

The routine work is shrinking, but hiring isn’t stopping

It’s easy to read the headlines and assume companies are quietly closing the door on new hires. The data tells a more mixed story. A Gartner survey found that 22% of chief human resources officers had at least one business leader who stopped hiring for entry-level roles because of AI automation. That’s real, and worth taking seriously. But Strada found that senior talent leaders were 2.7 times as likely to expect AI to increase entry-level hiring in 2026 as to decrease it. IBM has said it plans to triple its US entry-level hiring this year.

Zooming out, ManpowerGroup found that only 10% of employers are using AI and automation to replace headcount. The World Economic Forum’s outlook points the same way: it projects 170 million new roles and 92 million displaced by 2030, a net gain of 78 million jobs. The picture is one of roles being reshaped, which means the real question is how to hire for the reshaped version.

Hire for judgment, because routine work used to hide how much of it a role needs

For years, the repetitive parts of a job doubled as a training ground. Juniors learned by doing the busywork, and judgment came later. Now that AI handles much of the busywork, employers are asking for judgment on day one. PwC found that the entry-level jobs most exposed to AI were seven times more likely to require traditionally senior skills such as leadership, strategic thinking and judgment, and that these “seniorised” roles grew 35% between 2019 and 2025 while other entry-level roles shrank by 10%.

It’s also worth noticing what employers value in new hires. Strada’s research found that critical thinking and communication were rated more highly than AI literacy in entry-level graduates. So when you interview, spend less time asking which tools someone has used and more time on how they’d handle an unclear brief, a wrong-looking number, or a client who is unhappy. Those are the moments where an AI tool hands the decision back to a human.

Hire domain experts who use AI inside their craft, rather than a pile of “AI people”

There’s a temptation to open a requisition for an “AI specialist” and hope for the best. The market suggests a different priority. In PwC’s data, almost 66,000 of the new AI roles went to “AI user” positions, meaning people who work with AI inside existing business functions, while roles focused on AI development added just 2,600. A finance analyst who knows how to get reliable answers from an AI tool is often more valuable to a business than a generalist who knows the tool but not the finance.

Recruiters on the ground say much the same. SEEK reported that mentions of AI skills in job ads grew 60.4% year on year, yet employers are increasingly expecting people to apply AI to the skills they already have, rather than replacing established requirements with a new list of AI skills. And the market is willing to pay for the combination: PwC puts the average wage premium for AI skills at 62%, up from 57% a year earlier. If you’re hiring for a role that uses AI, test the craft first and the tool second.

Hire the builders who connect AI to your real systems

An AI tool on its own is a demo. It becomes useful when it’s wired into your data, your applications and your workflows, and that wiring is where a lot of the current demand sits. The Dice July 2026 Jobs Report found that 75% of US tech openings required AI fluency in June, up 178% year on year, with demand for enterprise integration skills growing 638% and agentic AI skills growing 587%.

This is also where talent is hardest to find. ManpowerGroup’s 2026 survey of 39,000 employers in 41 countries found, for the first time, that AI skills were the hardest for employers to find, with AI model and application development cited by 20% and AI literacy by 19%. In India, Quess Corp reported supply gaps as high as 43% in AI, data and analytics roles and 38% in platform engineering across global capability centres. If you need integration engineers, data engineers or platform specialists, start your search early and widen it beyond your own city. Our Offshore Staffing and Nearshore Staffing teams exist for exactly this reason.

Hire the people who check the machine

Every business that lets AI do more work also takes on a new question: how do we know it’s right? Someone has to test the outputs, probe for security holes, document what the system is allowed to do, and notice when it quietly drifts. The demand is showing up in the numbers, with Dice recording a 495% rise in demand for responsible AI skills.

In our experience, this is the most overlooked hire on the list. Teams budget for building and forget about assurance, and then a flawed output reaches a customer. Quality engineers, security testers and people who understand AI risk deserve a seat in your hiring plan from the start, not after the first incident. Our AI, Data & Intelligent Automation and Security & Risk Assurance services are built around this idea.

Keep a path for juniors, but redesign the role around thinking

It would be a mistake to read all this as “no more entry-level hires.” Pipelines matter, because today’s juniors are tomorrow’s leads. Some companies are already leaning that way: in India’s capability centres, early-career talent with up to three years of experience makes up 30% of hiring and is the fastest-growing segment, up 18% year on year.

The trade-off is that the junior role needs a rewrite. Replace “prepares weekly reports” with “reviews what the AI prepared, spots what’s off, and explains it to the client.” That’s a harder job, but it’s a better apprenticeship, since it teaches judgment from the first week. There’s also a warning here for the other side of the debate. One survey of hiring managers found that 55% had shifted at least part of their entry-level hiring budget to AI, and 23% planned to hire fewer 2026 graduates than last year, or none. Companies that cut the pipeline completely may find themselves short of experienced people in three or four years.

Hire against skills, not buzzwords

A few habits help here. Rewrite job descriptions around the outcomes a person must deliver, and name the specific AI-assisted tasks in the role. Test candidates with a real scenario, rather than a list of tool names. And be wary of résumés that sound impressive but can’t show what the candidate actually built or fixed.

The challenge is quality more than price. In Taggd’s 2026 report, 24% of global capability centres named a mismatch in talent quality as their number one hiring constraint across AI/ML, cloud, platform and product engineering. That’s why we spend so much time at Techgene on verifying profiles and screening for real, hands-on skill before anyone reaches your interview table.

Match the hiring model to the role

Once you know who you need, the next question is how to bring them in.

• Need someone fast for a defined project? Contract Staffing lets you add specialists without long-term commitment.
• Building a core capability for the long haul? Permanent Staffing helps you find people who’ll grow with the business.
• Facing a talent shortage in your own market? Offshore Staffing opens up a deeper pool, with Hyderabad-based teams working in overlap with your hours.
• Want closer time-zone alignment? Nearshore Staffing keeps collaboration close to your working day.

It’s worth being honest about the competition. India’s global capability centres are projected to create about 510,000 jobs in 2026, with 64% of new roles requiring AI, data science or intelligent automation skills. Good talent in these areas is being snapped up quickly, so a partner who can find and vet candidates in days instead of weeks matters.

The bigger picture

Routine work was never really what made a team valuable. It was the scaffolding around the judgment, creativity and accountability that people bring. As AI takes over more of the scaffolding, the businesses that do well will be the ones who hire for what’s left: people who think clearly, know their field, connect the tools to the business, and keep the whole thing honest.

If you’re rethinking your hiring plan for this new shape of work, we’d be glad to share what we’ve learned from placing professionals across industries and borders. Explore our talent solutions and get in touch with our team to talk through the roles you’re planning.