A 130cm-tall robot is ordained at South Korea's largest Buddhist temple—this AI spectacle exposes not technological progress, but a regression in deployment logic.

What this is

In May 2026, South Korea's Jogye Temple held a special ceremony: a 130cm-tall humanoid robot named Gabi, clad in monastic robes, "vowed to take refuge" before the abbot. Gabi's hardware platform is provided by China's Unitree Robotics; its "ordination" is essentially a preset action sequence plus voice synthesis—its autonomy roughly equivalent to a more expensive robot vacuum.

The Jogye Order gave two reasons: addressing the monk shortage and attracting the younger generation. Pew Research Center's 2025 data shows the global Buddhist population dropped 5% over a decade, with South Korea hit particularly hard. However, the monk shortage stems from the shrinking of faith communities and shifting values; a robot reciting scriptures solves neither dimension. As for attracting youth—that is the only honest claim. Gabi is essentially a PR tool; its goal isn't delivering sentient beings from suffering, but going viral.

Kodaiji Temple in Kyoto, Japan, introduced the robot goddess of mercy "Mindar" back in 2019. Seven years later, congregations haven't grown, but tourist check-ins certainly have.

Industry view

We note an increasingly obvious divergence: AI's genuine achievements and spectacle-driven deployment are heading in two different directions.

On one side is measurable, reproducible substantive progress: AlphaFold predicted the 3D structures of over 200 million proteins (covering nearly all known proteins); Haier's Tianjin factory used industrial large models to reduce injection molding energy consumption by 6-10% and increase production pace by 5-12%; lunar crater identification accuracy exceeded 80% with processing volume surpassing 1 million. These systems run in production environments, delivering real ROI.

On the other side is spectacle-first deployment logic: robots playing basketball, making coffee, becoming monks—each makes headlines, but each demands rigorous scrutiny of its substantive value. In Gabi's "ordination" ceremony, AI is putting on a soulless performance. The core Buddhist practices—mindfulness, compassion, the realization of impermanence—are inherently first-person inner experiences. A robot without consciousness cannot "take refuge" in anything, because it has no "self."

Alarmingly, this logic drains the public's trust capital in AI. If every "AI's first xxx" isn't followed by substantive delivery, the public will gradually equate AI with a gimmick. The real risk source of the AI bubble lies not in the technology itself, but in the narrative bubble.

Impact on regular people

For enterprise IT: Spectacle-driven deployments consume budgets and attention, reminding decision-makers to return to ROI evaluation—ask "what costs does this system save, what increment does it create," not "can this make headlines."

For individual careers: Cases like Gabi won't replace anyone's job, but the same batch of technologies applied in industrial optimization, literature analysis, and other scenarios are genuinely changing job structures—focusing on the latter is more meaningful than agonizing over the former.

For the consumer market: Remain skeptical of "AI's first xxx," distinguishing between visual spectacles and real value. The AI applications that truly change lives are often quiet, unphotogenic, but verifiable.