Name: What you know that AI doesn’t
Uploaded: 2026-02-18T15:59:19Z
Duration: 9 min 19 s
Description: AI is good at seeing patterns, but it’s humans who figure out what to do next, says technologist Priyanka Vergadia. She shares three stories of human excellence sparked by AI insights and offers a pathway to identify and cultivate your irreplaceable qualities, turning the AI revolution from a threat into an opportunity.

Priyanka Vergadia: What you know that AI doesn’t

What you know that AI doesn’t

AI is good at seeing patterns, but it’s humans who figure out what to do next, says technologist Priyanka Vergadia. She shares three stories of human excellence sparked by AI insights and offers a pathway to identify and cultivate your irreplaceable qualities, turning the AI revolution from a threat into an opportunity.

AI is advancing rapidly, with 71 percent of Americans fearing it will cost jobs. Yet while algorithms detect patterns in data, people bring context, emotion, and nuance that machines cannot touch. Stories from tech, sales, and marketing show how human insight turns AI discoveries into real-world breakthroughs. The future belongs to those who combine AI's speed with uniquely human judgment.

AI Spots Patterns, But Only Humans Grasp Their Meaning

While 71 percent of Americans fear AI will trigger massive job losses, the real power comes from humans interpreting AI’s insights. Algorithms can spot patterns—like customers not using advanced software features or social media accounts booming with the wrong followers—but only people can uncover the reasons behind the numbers. Whether diagnosing hidden obstacles in a sales deal or shifting a brand’s story to attract loyal buyers, human judgment, empathy, and curiosity remain irreplaceable. The future belongs to those who combine AI’s speed with deep human understanding.

AI Finds Patterns, But Only Humans Find Meaning

Humans excel at interpreting context, emotion, and nuance, even as AI grows ever more capable at spotting data patterns. In one striking example, a team saw user engagement jump only after digging into the reasons behind feature neglect, which AI alone missed. Another story revealed how social media metrics soared while sales stalled, because only a human could spot the misaligned audience. The future belongs to those who use AI’s strengths while staying deeply, irreplaceably human.