Fewer Jobs, Harder to Fill

Robert Half's 2026 research shows that 58% of business leaders say finding skilled talent is harder than a year ago, with 54% seeking entirely new skill combinations driven by AI. At the same time, traditional support agent job postings have declined as companies shift toward hybrid AI-support roles.

Both things are true simultaneously. AI reduced the number of agent positions needed, but the remaining positions require a different (and rarer) skill set. Companies are hiring fewer people but they need better ones. And "better" means something different than it did two years ago.

What Changed

The old hire: someone fast, patient, and willing to follow a script. Could be trained in a week. The job was mostly mechanical: read the ticket, find the answer, type it, move on. Speed was the primary differentiator.

The new hire: someone with judgment, emotional intelligence, technical aptitude, and comfort working alongside AI systems. Can't be trained in a week. The job is mostly about the conversations AI can't handle, which are the hardest ones.

What to Screen For

Emotional intelligence over speed. When every ticket is complex or the customer is upset, the ability to read emotions, de-escalate situations, and make people feel heard is the primary skill. Speed doesn't matter if the agent handles the conversation poorly.

Ask in interviews: "Tell me about a time you dealt with someone who was really frustrated. What did you do?" Look for specific actions, not general answers. "I listened to their concerns" is vague. "I let them vent for a minute, then asked what outcome they were hoping for" is specific.

Judgment and decision-making. AI handles the cases with clear answers. Humans handle the gray areas. "The return window technically closed yesterday but the customer is a 3-year subscriber." What do you do?

Give candidates ambiguous scenarios in the interview. Not trick questions, just situations without a clear right answer. You're looking for people who think through trade-offs and make reasonable decisions, not people who ask for the script.

Technical comfort. Agents now work alongside AI tools, CRM systems, analytics dashboards, and multiple communication platforms simultaneously. They don't need to code, but they need to be comfortable learning new software quickly and troubleshooting basic technical issues.

Ask: "What's the most complex piece of software you've learned on your own? How did you learn it?" This reveals self-directed learning ability.

Writing ability. With more communication happening over text (chat, email, social), clear writing is more important than phone voice. Ask candidates to write a response to a sample customer complaint. Look for clarity, empathy, and natural tone. Avoid candidates who write in corporate-speak.

Where to Find Them

The best support hires in 2026 often come from adjacent roles:

Retail managers. They understand customer interaction, conflict resolution, and working under pressure. The transition to digital support is smaller than you'd think.

Teachers and educators. Patient, clear communicators who are used to explaining complex concepts simply. Often looking for remote work with flexible hours.

Freelancers and VAs who already do support work. Check Upwork, Belay, or support-specific freelancer platforms. These candidates come pre-trained and can start producing quickly.

Current agents at larger companies who want more responsibility. Someone doing support at a 50-person team might be excited about an AI ops-adjacent role at a smaller company.

Compensation Reality

The market rate for entry-level support agents dropped slightly (more supply due to AI displacement). But the rate for experienced agents, especially those with AI ops skills, went up significantly.

Entry-level agent (2026): $35,000-45,000/year.

Experienced agent with AI tools experience: $48,000-62,000/year.

Support ops / AI ops specialist: $65,000-90,000/year.

If you're trying to hire experienced talent at entry-level wages, that's why your positions stay open. The candidates you want have options, and they know it.

Retention Matters More Than Hiring

In a market where good support people are hard to find, keeping the ones you have is cheaper than replacing them. Check your retention basics: fair pay, manageable workload (especially now that all easy tickets go to AI), growth opportunities, and recognition for good work.

The best retention strategy for support teams in 2026: create a clear path from agent to AI ops or knowledge management. Show agents that the role leads somewhere. If the only future they can see is "keep doing hard tickets until AI replaces me too," they'll leave before you can train them.