As AI automates more of the routine work in every industry, including IT support, the businesses that keep a real, accountable human in the loop for anything that actually matters will have a genuine advantage. That’s what customers consistently say they want, not what vendors assume they want. The data backs this up clearly enough that it should shape how a business deploys AI, not just whether it deploys it at all.
What the data actually says
A consumer survey tracking attitudes from October 2025 to April 2026 found the gap between wanting a human and wanting AI isn’t narrowing; it’s widening:
- Preference for speaking with a human rose from 83% to 85% over that period. Preference for AI fell to just 5%.
- Frustration with AI agents rose from 54% to 59%, and the share of people who said they’d simply hang up if connected to an AI agent rose to 31%.
- 57% said their trust in a business would decline if it relied mainly on AI for customer service.
- 70% believe service quality gets worse when humans are replaced by AI.
- 73% said they’d be more loyal to a company that keeps humans in all of its service interactions.
Worth noting: this research was published by a company that sells human-staffed answering services, so the magnitude is worth reading as directional rather than a precise industry benchmark. But the direction itself, people don’t want to be fully handed off to a bot for anything that matters to them, tracks with what most of us have personally experienced trying to get a real answer out of a chatbot.
Where AI genuinely helps, and where it quietly costs you trust
AI is excellent at the invisible, high-volume, low-stakes work happening in the background: monitoring systems around the clock, catching patch gaps before they’re exploited, routing and triaging incoming tickets, drafting a first-pass response, flagging anomalies a human would take hours to notice.
It performs worse, and costs more in trust than it saves in time, on anything emotionally loaded, ambiguous, or genuinely high-stakes: a production line that just went down, a ransomware incident in progress, an employee locked out of their account an hour before a client presentation. Those are exactly the moments a canned chatbot response makes things worse, not better.
“High-tech, high-touch,” not “high-tech instead of touch”
The right framing isn’t AI versus humans. It’s AI freeing up humans to be more available for the moments that actually require them. Done well, AI handles the triage and routing so a real technician reaches a frustrated user faster, not so that user spends ten minutes arguing with a bot before giving up.
That distinction is easy to say and genuinely hard to build a company around, because the cheaper path is almost always to automate the human out of the loop entirely and hope no one notices until it’s too late to fix the relationship.
What this looks like in practice
Behind the scenes, modern IT support should be running heavy automation and monitoring; that’s not optional anymore given how fast threats and patch volumes are moving. But the person who answers the phone, the person managing the account, and the person standing in the room during an actual incident should be a real, accountable human who already knows the business, not a tier-one script reader starting from zero every time.
That’s the practical, unglamorous version of “high-tech, high-touch.” It’s a deliberate operating choice, not a limitation to apologize for.
A useful question for evaluating any vendor
Almost every vendor now uses AI somewhere in their stack, so “do you use AI” has stopped being a useful question to ask. The better question: what happens when the AI gets something wrong, and who is actually accountable for fixing it? The answer tells you far more about a vendor’s judgment, and what you can expect when something actually goes sideways, than their technology stack ever will.
If you want to know who’d actually be on the other end of the phone when something breaks, Book Your Free Assessment and find out before you need to.