By Babitha Balakrishnan | Original post at HR.com
While headlines continue to warn that artificial intelligence (AI) is coming for jobs, a 20-year-old company is taking a different path.
At Abby Connect, AI is not being positioned as a workforce reduction strategy. Instead, it is being treated as a catalyst for redesigning work, building new skills, and strengthening internal mobility.
That philosophy is shaped in part by the journey of Abby Connect CEO, Nathan Strum, himself. Strum started his career as a receptionist and worked his way up. Today, as CEO, he is investing heavily in AI to improve customer success and to turn AI into a retention engine, not a layoff strategy.
This stance stands in contrast to some of the louder voices in the tech world. Matt Shumer, CEO of HyperWrite, recently sparked debate by suggesting AI can now replace much of his own technical work and may disrupt jobs far beyond engineering.
Strum sees the issue differently.
“I think the ‘AI replaces jobs’ framing is lazy,” he says. “AI replaces tasks. It doesn’t need to replace entire roles.” That distinction has shaped Abby Connect’s strategy from the outset.
Redesigning Work, Not Removing People
Rather than asking which jobs could be eliminated, Abby Connect began reexamining its core business processes. According to Strum, several workflows have been reimagined since AI adoption began.
One notable example is product development. The company revisited long-standing “best practices” and rebuilt the process to better serve clients, employees, and the business overall. Importantly, the redesign did not result in layoffs.
“Not one human was fired as a result of that redesign,” Strum notes. In fact, employees involved in the transition report feeling more empowered and more satisfied with their work.
The philosophy is straightforward: if routine or repetitive elements can be automated, the opportunity is to elevate human contribution, not eliminate it.
Creating New Skill Layers Inside Existing Roles
A central component of this approach has been embedding AI training directly into the company’s learning management system. The objective is not merely tool adoption, but capability expansion.
Strum emphasizes that AI will create opportunities for employees who already possess strong soft skills. For example, as AI systems begin handling certain customer interactions, team members now review calls between customers and AI for quality assurance purposes. This requires new technical understanding, but it builds directly on the deep customer service experience employees already have.
Another emerging capability is prompt engineering within customer service contexts, a new skill set the company is actively training for. Instead of shrinking roles, AI is being used to add new layers of expertise within them.
Teaching When Not to Use AI
A defining feature of Abby Connect’s approach is teaching employees not only how to use AI, but when not to rely on it.
Strum points out that AI is powerful and flexible, but without guardrails, it can introduce risk. Someone without formal software development or cybersecurity training can now generate code in minutes. The intention may be helpful, but the long-term consequences may not be fully understood.
The same principle applies to communication. Drafting outreach to a new prospect with AI support may be appropriate. Relying on AI to write emails to a direct supervisor who knows your voice, however, can feel inauthentic and damage trust.
For Strum, this distinction is critical. Teaching discernment builds judgment, and judgment is what sustains long-term workforce capability.
Reducing Fear Through Transparency
The company’s AI journey did not begin with a sweeping transformation. It began with a conversation.
Leadership first discussed how employees were already using AI in their personal lives. That low-pressure dialogue reduced uncertainty. The unknown, Strum believes, is one of the biggest drivers of fear.
As internal curiosity grew, leadership began outlining how the organization intended to use AI. The message was repeated consistently: AI was not being introduced to replace people. The company was committed to providing employees with the resources they needed to upskill and thrive.
Over time, visible proof points reinforced that message. Employees who completed new AI training modules began transitioning into more technical roles, often at higher wages. As colleagues saw those shifts, the narrative gradually moved from anxiety to opportunity.
Strum believes AI adoption is fundamentally a leadership communication challenge. If employees do not understand how AI benefits them, they will assume it threatens them.
HR’s Responsibility in Shaping the AI Narrative
For CHROs, the question is no longer whether AI will enter the organization. It already has. The real challenge is ensuring it becomes a driver of retention and growth rather than a trigger for redundancy and fear.
Strum’s advice is practical: prove that AI can create opportunity.
Rather than launching sweeping transformation programs, he recommends starting small and deliberate ones. Improve one business process. Redefine one role. Enhance one department. Then clearly demonstrate a positive outcome that benefits employees as much as it benefits the company.
Visible proof changes the narrative. When employees see AI expanding roles, increasing capability, or even creating wage growth, skepticism begins to soften. Early wins also help identify internal ambassadors – influential team members who can help shift the mindset across the organization, particularly among those more resistant to change.
Equally important is avoiding overreach. A highly ambitious AI rollout that fails early can stall adoption for years. Before deploying AI broadly, leaders must ensure employees understand the “why.” If people do not see where they fit in the future state, they will default to fear.
In Strum’s view, successful AI integration is less about technology deployment and more about workforce design, sequencing, and communication.
AI does not automatically eliminate opportunity; it redistributes tasks and reshapes roles. Whether that redistribution results in displacement or development depends on the strategy behind it.
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