The AI Paradox: Why Gen Z Feels Smarter Tools Are Making Them Dumber
By the B2Pulse Editorial Team
Let’s cut through the fluff. You’ve heard the headlines: AI is saving workers over two hours per day. Productivity is up. Efficiency is soaring. But there’s a dirty little secret hiding beneath the surface, and it’s about to become your biggest retention and training headache in 2026.
Nearly half of Gen Z workers—46 percent, to be exact—now believe that AI is making them less intelligent. That’s not a fringe take from tech skeptics. That’s the internal reckoning of the most AI-native generation in the workforce. And it’s a signal that every revenue leader, VP of Sales, and CRO needs to decode before their teams lose the very skills that make them great.
New research from GoTo, in partnership with Workplace Intelligence, surveyed 2,500 global employees and IT leaders to understand the real impact of AI on workforce capability. The findings are a wake-up call. The same tools that accelerate output are quietly eroding confidence, judgment, and the muscle memory of doing the work yourself.
Here’s what the data says, what it means for your GTM team, and—most importantly—what you can do about it.
The Overreliance Epidemic: By the Numbers
Let’s start with the raw numbers. They’re jarring.
- 50% of employees now admit they rely on AI too much.
- 30% say they can no longer function without AI at work.
- 39% believe their overuse of AI is actively making them less intelligent.
- That number jumps to 46% among Gen Z workers.
Think about that second stat for a second. Three out of ten people on your team feel they’d be paralyzed without AI. That’s not a productivity win. That’s a dependency crisis.
When I was running sales teams, the best reps had a sixth sense for when to trust their gut versus when to lean on data. They could read a room, handle objections, and craft a narrative on the fly. Those are human skills. They’re not automatable. Yet the very generation we’re counting on to be the next wave of leaders is telling us that the tools we gave them are making those skills atrophy.
The Pressure to Use AI Is Outpacing the Guardrails
Here’s where it gets dangerous.
60 percent of employees say they feel pressured to use AI tools to boost productivity—regardless of whether the task actually calls for it. This isn’t organic adoption. It’s performance anxiety disguised as efficiency.
The result? Wide-scale misuse.
A staggering 70 percent of employees now admit they’ve used AI for sensitive or high-stakes tasks. That includes:
- Legal or compliance work
- Decisions requiring emotional intelligence
- Actions involving confidential information
This percentage jumped from 54 percent just one year ago—a 16-point increase in twelve months. The train isn’t slowing down. And the tracks are getting shakier.
For your B2B team, this is a ticking time bomb. Imagine a sales rep using AI to draft a contract clause for a multi-million dollar deal—without checking it. Or a customer success manager using AI to craft a sensitive response to a client whose account is at risk. The cost of an error here isn’t a bad email. It’s a lost deal, a burned relationship, or a compliance violation.
The “AI Workslop” Problem Is Eating Your Team’s Time
We’ve all seen it. The generic, overly polished, soulless response that screams “written by a bot.” I call it AI workslop, and it’s becoming the secret tax on your team’s productivity.
Here’s what the data says:
- 43 percent of employees admit they’ve submitted AI-generated content even when they suspected it was low quality or contained errors.
- 77 percent say reviewing AI-generated work takes more time than reviewing human work.
- 66 percent say wading through other people’s AI-generated content is a growing drain on their day.
Let me translate that into revenue operations math.
If your team is spending 77 percent more time fixing AI output than they would have spent writing it themselves, where’s the efficiency gain? It’s an illusion. You’re just shifting the work from creation to cleanup—and burning out your best people in the process.
Real-world example from my playbook: I once had a high-performing AE start sending outbound sequences that were clearly AI-written. They were polished, but they lacked any personal context. Response rates tanked. When I asked what was happening, the AE confessed: “I’m just trying to keep my output numbers up. I don’t have time to write every email myself.” The tool was supposed to help. Instead, it created a culture of volume over value.
The same dynamic is playing out across your team right now.
Why Gen Z Feels It Most
Let’s zoom in on the Gen Z stat again. 46 percent say AI is making them dumber.
Why Gen Z? Two reasons.
First, they grew up with this technology. They’re the most fluent in AI, but that fluency comes with a blind spot. They don’t remember what it’s like to do the work without it. They’ve never had to build the foundational skills because the tool was always there to shortcut the process.
Second, they’re the most externally pressured group in the workforce. The drive to prove themselves, combined with the expectation to use the latest tools, creates a perfect storm. They lean on AI not because it makes them better, but because it makes them faster—and speed is often confused with success in a quarterly-results-driven culture.
The irony is brutal. The generation with the most access to intelligence tools is the one that feels the least intelligent using them.
The Real Cost for Your GTM Team
Let me connect this back to your revenue engine. Here’s what overreliance on AI looks like in a typical B2B organization:
| AI Overuse Symptom | Revenue Impact |
|---|---|
| Reps cannot write cold emails without AI | Loss of authenticity, lower reply rates |
| CSMs use AI to handle sensitive client escalations | Risk of tone-deaf responses, churn |
| Proposals are AI-generated but not reviewed | Errors slip through, deals stall |
| Managers rely on AI for coaching insights | Missed emotional cues, weaker team development |
| Training investment drops (“AI can handle it”) | Skill atrophy, longer ramp for new hires |
The most valuable asset on your team isn’t speed. It’s judgment. And judgment is built through repetition, feedback, and the occasional failure. If AI insulates your people from that process, you’re not building a stronger team. You’re building a fragile one.
What Smart Leaders Can Do About It (Right Now)
This isn’t a problem you can ignore or ban your way out of. AI isn’t going away. But you can build guardrails that turn the tool into a multiplier instead of a crutch.
Here’s the playbook I’d run tomorrow:
1. Define “Appropriate Use” for Every Role
Stop treating AI as a one-size-fits-all productivity lever. Create clear, role-specific guidelines.
For sales reps: AI can generate first drafts of outbound sequences—but only after the rep writes the personalization layer. The rep must review and validate every line.
For CSMs: AI can summarize call notes, but it cannot draft client-facing communications about sensitive issues without a human review.
For leadership: AI can analyze pipeline data, but it cannot make the final call on deal-stage movement or forecasting.
Write these rules down. Train your team on them. Hold them accountable.
2. Invest in Review Routines, Not Just Generation Tools
If your team is spending 77 percent more time reviewing AI output, that’s a process problem. Build review cycles into your workflows.
- Require a second pair of eyes on any AI-generated client-facing content.
- Use peer review checklists that specifically flag AI-typical patterns (overly generic language, lack of context, false confidence).
- Track time spent on review versus creation. If the ratio is heading in the wrong direction, adjust.
3. Build “Unplugged” Skill Development Into Your Cadence
This is the most counterintuitive but powerful move.
Schedule blocks of time—at least one hour per week—where your team works without AI. No drafts. No summaries. No copilot.
Here’s what you work on instead:
- Writing a cold email from scratch
- Crafting a discovery call script based on intuition
- Role-playing an objection without looking up a script
Why? Because you need to exercise the muscle. The reps who can write a great email without AI are the same reps who can edit an AI-generated draft into something brilliant. The reps who can’t? They’re just tweaking mediocrity.
4. Normalize the Conversation About Overreliance
The data shows that 50 percent of employees already know they rely too much on AI. That’s your opening.
Bring it up in team meetings. Ask: “Where are you leaning on AI when you probably shouldn’t?” Create a safe space for the answer. The goal isn’t shame—it’s awareness.
Example from my experience: I once had a team lead admit in a retrospective that she’d used AI to write performance feedback for a direct report. She felt terrible about it. The feedback was technically correct, but it lacked the empathy and nuance that direct report needed to hear. We used that moment as a case study for the whole team. No punishment. Just learning.
5. Redefine Your Success Metrics
Stop measuring output volume alone. Start measuring output quality—and the process behind it.
Track:
- Reply rates (not just email volume)
- Client satisfaction scores (not just response speed)
- Manager review notes (not just task completion)
- Skill assessment results (not just tool usage)
When you reward thoughtful, judgment-heavy work, your team will stop optimizing for speed at the expense of everything else.
The Bottom Line for B2B Leaders
AI is not the enemy. It’s an incredible tool that can save your team time, reduce grunt work, and surface insights faster than ever. But it’s also a seductive shortcut that, if left unchecked, can hollow out the very skills that make your people valuable.
The research is clear. The workforce knows it. And Gen Z is telling us directly: “We feel dumber.”
Your job as a leader is to listen to that feedback, build the guardrails, and design a system where AI amplifies human judgment instead of replacing it.
The companies that get this right will have teams that are faster, smarter, and more confident. The ones that don’t will have teams that can’t function without a crutch—and that’s a competitive disadvantage that no tool can fix.
The playbook is simple: Use AI. But don’t let it use you.
Now go build something human.