AI analyst and industry watcher Susan Etlinger joins Perficient to challenge common assumptions about AI first strategies, automation, and what responsible adoption really requires. Her perspective urges leaders to pause, think carefully, and focus on the capabilities they might gain and the ones they might unintentionally lose.
Here are the key insights every business leader should consider.
"AI first does not mean AI only. It means considering AI for the task before other technologies.”
1. AI-First Doesn't Mean AI-Only
Many leaders interpret AI first as making AI the default choice. Etlinger explains that the real meaning is more thoughtful. AI first means evaluating AI as an option and asking whether it enables something that was not possible before. It is a test of opportunity, not a mandate to use AI in every situation.
This requires a moment of discipline. Leaders must consider whether AI is the right approach, or whether a simpler method is more effective, more responsible, or more aligned with the intended outcome.
2. The Automation Paradox and What We Lose When We Automate
Automation is often seen as a clear advantage, yet Etlinger warns that full automation can erode the developmental experiences that build deep expertise. Early in her own career, she learned essential skills by manually compiling data for business reviews. These tasks were tedious, but they taught her operational context and critical thinking.
As agentic AI becomes capable of handling end to end processes, leaders must ask not only whether a workflow can be automated, but what learning, intuition, or judgment they might remove in the process.
"The question is not whether we can automate something. The question is what we lose when we do."
3. The Compounding Advantage Begins the Day You Start
Etlinger emphasizes that waiting to adopt AI creates opportunity cost. If an organization begins experimenting today, it begins compounding learning today. Those that started during the early rise of generative AI are already seeing the accumulated benefit of their efforts.
Her advice is practical and direct. Start with a meaningful but low friction workflow. Test. Learn. Adapt. The results, whether positive or negative, contribute to the compounding knowledge that becomes competitive advantage.
"If you start today, you begin compounding today.”
The Bottom Line
Susan Etlinger’s message is clear.
- Think before you deploy.
- Understand what human learning or judgment you might be automating away.
- Start experimenting now so your organization can build compounding intelligence.
Success will not come from adopting AI the fastest. It will come from adopting it the most thoughtfully.
Organizations that balance experimentation, governance, and human judgment will build the most durable competitive advantage.
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These insights come from Susan Etlinger's appearance on Perficient's What If? So What? podcast.