Can We Strike the Perfect Balance with AI?
- Erika Bantz, Principal
- 1 hour ago
- 4 min read
I love AI. Yes, I love it because I work at Butler Street, and yes, I genuinely and authentically really love it! I am in an environment that:
Uses AI to push the envelope, do things differently.
Actively seeks to disrupt things and grow at a pace not many would be comfortable with.
Doesn’t limit me by my cautious ways but challenges them and pushes me beyond them.
Cautious though I may be, here I am, embracing AI, using it regularly, and have found a way to strike a balance between using it to be more productive, help me grow as a professional, and doing so without losing my human touch or the ability to use my brain (a very expensive brain at that, one bachelor’s degree and two master’s degrees nestled in there).
Beyond my sole vantage point, there’s a growing conversation happening in boardrooms and on the front lines of sales organizations, and it’s not just about what AI can do. It’s about what AI is doing to us.
Look out Webster’s Word of 2026!
A recent Boston Consulting Group (BCG) study introduced a new term: “AI brain fry.”, they describe it as mental fatigue caused by the constant need to supervise and evaluate AI-generated outputs (Business Insider, 2026).
At the same time, leaders are raising a parallel concern. In Forbes, Rhett Power argues that the future of AI isn’t just about capability, it’s about responsibility. He notes that “human-centered AI is becoming a leadership imperative,” requiring organizations to rethink how people and technology work together (Forbes, 2026).
Put those two ideas together, and a clear message emerges: This isn’t just a technological shift. It’s a human one.
The Hidden Cost of “Productivity”
AI promises efficiency, and in many cases, it delivers. But only up to a point.
BCG found that productivity improved when workers used one or two AI tools. Beyond that, performance began to decline as individuals were forced to manage multiple systems simultaneously calling this trend a “canary in the coal mine” (Business Insider, 2026).
Workers reported:
Mental fog
Slower decision-making
Increased errors
Cognitive fatigue
Meanwhile, it highlights a related risk: leaders chasing productivity gains without considering the human impact. Stating organizations must “design AI systems that enhance human capability rather than overwhelm it” (Forbes, 2026).
More tools do not automatically mean better outcomes.
AI Is Shifting the Nature of Work
The shift happening right now is subtle, but significant. We are moving from doing the work to managing the work AI produces.
Employees must continuously review outputs, validate accuracy, and determine next steps. That constant judgment requires sustained focus, and that’s where fatigue sets in and
leadership must now prioritize “augmenting human decision-making, not replacing it” (Forbes, 2026).
For sales organizations, this hits directly. Many teams are:
Using AI for outreach, messaging, and candidate/client research
Managing multiple platforms across recruiting and sales workflows
Increasing activity without consistently improving outcomes
Are we actually improving performance, or just increasing the amount of work it takes to manage AI?
Where Sales Teams Get Stuck and How Leaders Can Help
This is where the conversation connects directly to what many leaders are experiencing.
Sales organizations today are often stuck in transactional cycles, struggling with pipeline quality, and defaulting to price-based conversations. And AI doesn’t automatically solve these issues. In some cases, it amplifies them.
If teams increase activity without improving how they think, question, and position value, the result is:
More pipeline volume, but less quality
More outreach, but less differentiation
More effort, but fewer wins
“Technology without intentional leadership creates noise, not clarity”*
Many organizations are still treating AI as software rollout. They add tools, automate tasks, and expect results. And the real opportunity is better thinking, not just faster work.
Here’s the nuance that often gets missed: Research shows that AI can reduce burnout when it removes repetitive, low-value tasks **
So, the issue isn’t AI itself. It’s how it’s being used.
Because value is not created by speed alone. It’s created by better thinking, better conversations, and stronger alignment to what matters most to the client.
AI is accelerating everything, but it’s also exposing gaps in strategy, sales execution, coaching and decision-making. AI alone won’t solve those problems alone. They will be solved by leaders who understand how to balance technology with human capability, who can create clarity in the middle of increasing complexity.
That’s the difference between organizations that scale AI, and those that get buried by it.
If you’re heading to the SIA Executive Forum in Austin, there are two conversations that directly address this shift:
"How Staffing Teams Win More and Sell Smarter" with Mary Ann McLaughlin and Joey Frampus
"The CEO Playbook for an AI-First Staffing Firm" with Mike Jacoutot
AI is changing how work gets done, but more importantly, it’s changing how leadership must think about performance, productivity, and people. And we’re right in the thick of it, navigating the nuances and necessary balancing act.
If you’re looking to move through that shift with clarity and purpose, Butler Street can help.