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For retailers, the question is not simply what AI can automate. It is whether the organization can use it to make better decisions while preserving expert human help where customers need confidence. In a TWICE interview published October 1, 2026, retail executive Nora Gomez argues that AI works best alongside what she calls “Human Intelligence”: leadership judgment, clarity, trust and adaptability.
What does “Human Intelligence” mean in the age of AI?
Gomez, founder and CEO of Next Generation Growth (NGGrowth), defines it as “the leadership capability that enables organizations to turn artificial intelligence into better decisions, stronger execution, and meaningful business outcomes.” The definition reflects her leadership framework, not a measured finding from an independent study. Gomez brings more than 30 years of retail and business leadership experience, including an executive role at Nebraska Furniture Mart.
Her point is that access to AI is not the same as knowing what to ask, whether an answer is useful, or what decision to make. As she puts it, “AI is making answers abundant. That makes the quality of the question, the judgment applied to the answer, and the decision about what to do next even more valuable.” Human expertise remains consequential because a leader is still accountable for the decision: “AI doesn’t remove accountability. A leader still has to make the call.”
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Start with the business problem
Gomez recommends identifying where decisions are slow or poor, and understanding why, before choosing a tool or deciding what to automate. That order matters: selecting technology first can speed up an existing process without fixing the reason it underperforms.
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Consider what AI will amplify
Gomez describes AI as “an amplifier.” In her framing, it may accelerate learning and experimentation in a healthy organization, but it can also automate dysfunction already present in an unhealthy one. This is a caution about implementation and culture, not a quantified prediction about business results.
Reduce routine friction; keep expertise available for consequential moments
Gomez points to delivery-status checks and routine reorders as tasks suited to automation. By contrast, a major-appliance or home-theater purchase may call for knowledgeable assistance and reassurance. Her distinction is not that every interaction should remain human; it is that automation should make room for people to help where their judgment and presence create value.
As Gomez says, “The goal shouldn’t be to preserve human interaction everywhere. It should be to use technology to eliminate friction so your people can be exceptional in the moments where being human creates real value.”
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|---|---|---|
| Delivery-status checks | Automate a routine information request. | Escalation may still be needed when the situation is unusual or the customer needs help. |
| Routine reorders | Reduce friction for a familiar, repeat purchase. | Assistance can help if the customer’s needs or circumstances have changed. |
| Major-appliance or home-theater purchase | Support the process with useful information. | Expertise and reassurance can help customers feel confident about a high-stakes choice. |
The examples and comparison are Gomez’s perspective, not a validated retail framework. The interview does not provide independent statistics showing how these practices affect sales, loyalty or productivity.
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Where does human expertise matter in electronics and appliance retail?
Gomez argues that knowledgeable associates can differentiate a retailer when products, prices and delivery are similar. Their value is not just reciting product information; it is helping customers understand their needs and feel confident in a consequential purchase. AI may help employees find or organize information, but the interview’s emphasis is on using technology to support, not displace, that trusted guidance.
Will AI replace retail workers?
The interview does not quantify job displacement, predict staffing levels or establish which retail roles will disappear. It offers a different focus: automate routine friction while retaining people for moments that benefit from expertise, judgment and reassurance. That is Gomez’s view on where human contribution can matter; it should not be read as a guarantee about future employment.
What should retail employees learn as AI improves?
Gomez advises employees to learn AI tools while also strengthening capabilities that help them apply those tools well. Her recommendations include judgment, curiosity, adaptability, relationship-building and understanding customer needs. In her formulation, AI should not only make work faster: “AI shouldn’t just make work faster. It should make people better.”
What NGGrowth says its approach includes
NGrowth describes its Human Intelligence Index as covering six dimensions: Clarity, Alignment, Capacity, Culture, Execution and Future Fluency. Its Human Intelligence Method is a four-part process: Calibrate, Integrate, Elevate and Accelerate. The company also lists executive advisory, leadership training, fractional executive leadership and keynote experiences. These are NGGrowth’s descriptions of its own methodology and services; they are not independent evaluations of outcomes.
Best Value
Gomez’s interview with Tony Monteleone appeared in TWICE on October 1, 2026. NGGrowth’s description of its methodology and services is available on the NGGrowth website.
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