Contrary to popular belief, research shows AI models perform better than the average human on emotional intelligence tests. This capability allows AI to craft empathetic and emotionally resonant communications, even for sensitive topics like delivering bad news, often better than human counterparts.

In clinical trials, Google's LLM achieved higher first-guess diagnostic accuracy (91% vs 77%) than human doctors. More surprisingly, it was rated as more empathetic (82% vs 71%) by physician graders, suggesting AI can excel in the "soft skills" of patient care.

Bill Gates was truly convinced of AI's potential not by its ability to pass a science exam, but when GPT-4 provided a nuanced, empathetic guide for comforting a friend whose pet had died. This demonstrates AI's power as a tool to enhance human emotional intelligence and interpersonal skills, rather than just provide information.

The debate over whether a machine can "feel" empathy is irrelevant from a user's perspective. If an AI's responses make a person feel heard, supported, and understood, then the function of empathy has been fulfilled for the receiver.

Zack Kass shares that as AI perfected diagnoses, his oncologist father's value shifted from intellect to his human touch. In a world of cognitive abundance, emotional intelligence and empathy are no longer soft skills; they become the primary 'product' that clients and patients value most.

AI lacks ego and can analyze customer complaints objectively to craft empathetic responses. Studies show AI scoring significantly higher than humans on emotional intelligence tests, leading to improved customer satisfaction.

AI only imitates empathy, but it can be more effective than human-delivered empathy in high-stress roles. AI has infinite patience and isn't burdened by emotional fatigue that affects professionals like doctors or paramedics, leading to an experience where the recipient feels more cared for.

A Google study revealed that while an AI's treatment plans were rated 98% appropriate by the third visit, human doctors' appropriateness declined after the first. This indicates humans may be prone to confirmation bias or premature diagnostic closure, a flaw that learning models overcome.

While the caring economy is often cited as a future source of human jobs, AI's ability to be infinitely patient gives it an "unfair advantage" in roles like medicine and teaching. AI doctors already receive higher ratings for bedside manner, challenging the assumption that these roles are uniquely human.