AI Won’t Fix a Broken System
- Erika Bantz, Principal
- 2 days ago
- 4 min read
Key Takeaways:
AI accelerates work, but people determine whether it creates value.
Technology often exposes execution, communication, and leadership gaps.
Human skills like judgment, trust, listening, and adaptability are becoming more critical.
The strongest AI strategies pair tools with skills-based development.
I had the privilege of speaking at the 2026 National Association of Travel Health Organizations (NATHO) earlier this month. And the conversation we had at the conference mirrored the same conversation happening in almost every leadership meeting right now:
“What’s our AI strategy?”
And it’s a fair question. More than three years into AI being everywhere, what we know more than anything, is that AI is moving fast. And the pressure to “do something” is real. Teams are testing agents, automating workflows, generating outreach, summarizing meetings, and embedding AI into nearly every operational process imaginable. But after speaking with leaders across industries recently, I think many organizations are asking the wrong first question.
The better question might be:
Are our people actually prepared to create value in an AI-enabled world?
Because here’s the reality: AI is making transactions easier, but it is not automatically making organizations better.
Recently, Shelly Palmer revisited the concept of the OODA Loop (Observe, Orient, Decide, Act) and why it matters for AI leadership. His point was simple but important: organizations that adapt faster will gain competitive advantage. But adaptation is not just about speed. It’s about how effectively people interpret and respond to change. That “orientation” piece of the loop is where many organizations are struggling today.
AI can help teams observe more information. It can generate options faster and accelerate execution. What it cannot do is replace judgment, leadership, communication, emotional intelligence, or trust. Those capabilities still determine whether organizations grow, retain customers, and create long-term value.
As you know by now, at Butler Street, we spend a great deal of time helping organizations improve sales effectiveness, leadership, recruiting, and account management. And we’re doing it while also embedding the effective use of AI. And what we are seeing right now is interesting and, frankly, concerning. Many companies are investing heavily in AI tools while underinvesting in the human skills required to use those tools effectively. That creates a dangerous gap because AI does not fix inconsistent execution. It amplifies it.
If a sales process is undisciplined, AI can help teams fail faster. If managers struggle to coach effectively, more dashboards will not solve the problem. If salespeople do not understand how buyers actually make decisions, automating outreach simply creates more noise in already crowded markets.
Technology scales behavior, whether that behavior is effective or ineffective.
That is why we have been discussing a mindset shift internally at Butler Street: technology for transactions, people for relationships. The future is not AI versus people. It is AI supporting highly skilled people.
And that changes where organizations need to focus.
For years, many companies categorized skills like active listening, questioning, communication, adaptability, and relationship-building as “soft skills.” In reality, they are becoming separating skills. As AI handles more administrative and transactional work, the human side of business becomes more valuable, not less.
Think about sales for a moment. AI can draft emails, summarize discovery calls, and suggest next steps. But it cannot truly understand a customer’s operating reality unless someone first uncovers it through meaningful conversation. It cannot create emotional urgency. It cannot navigate organizational politics. It cannot build trust through credibility and consistency. Buyers still make decisions emotionally and justify them logically. That has not changed.
Neither has the buying process itself. People still move through stages: identifying needs, investigating options, resolving concerns, making decisions, and implementing change.
AI can support those moments, but it cannot replace the human interaction required to move someone confidently through them.
What has changed is the speed of information and the expectations around responsiveness.
Organizations now need operational efficiency and human effectiveness simultaneously.
The companies winning with AI are not necessarily the ones with the most advanced technology stacks. They are the ones building stronger habits, stronger communication, stronger leadership, and more disciplined execution around those tools.
That is where training and reinforcement become critical.
One-time AI workshops will not create transformation. Neither will handing employees new software and hoping adoption happens naturally. Organizations need repeatable systems that help people improve communication, strengthen critical thinking, ask better questions, coach more effectively, and create more valuable customer conversations.
In other words, they need capability development.
Ironically, AI may force organizations to become more human again. The companies that stand out over the next several years will not simply automate more tasks. They will communicate better, listen better, coach better, adapt faster, and create stronger customer experiences.
AI absolutely matters. But the organizations that separate themselves will not win simply because they adopted AI first.
They will win because they develop people who know how to use it effectively, responsibly, and strategically.
That is not primarily a technology challenge. It is a leadership challenge. It is a training challenge. And ultimately, it is a human challenge.
At Butler Street, our approach continues to focus on skills-based development first: understanding operating reality, effective questioning, communicating value, leadership accountability, and reinforcing productive habits over time. Technology matters, but sustainable performance has always been behavioral before it becomes technological. If you’re ready to talk about your human-centered, skills first strategy, reach out and contact us – we’re ready to help!
Referenced concepts from Shelly Palmer’s “OODA Loops for AI Leaders”:
FAQs: AI Adoption and Human Skills in Business
Can AI fix broken business processes? Not on its own. AI can improve speed and efficiency, but it often amplifies existing gaps in process, leadership, and execution.
Why do human skills matter more in an AI-enabled workplace? Because trust, judgment, communication, coaching, and relationship-building still drive business outcomes.
What should leaders do before expanding AI adoption? Assess whether teams have the skills, habits, and reinforcement needed to use AI effectively.
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