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In a unique demonstration highlighting artificial intelligence’s environmental impact, residents of Quilicura, Chile transformed into a human-powered chatbot on Saturday, fielding thousands of requests from global users while drawing attention to water consumption issues plaguing the region’s growing data center industry.

For 12 hours, approximately 50 community members worked in shifts at a local community center, personally responding to over 25,000 queries submitted through the Quili.AI website. Unlike conventional AI platforms that produce instant results, users received personalized, human-created responses—sometimes requiring several minutes of wait time.

When asked to generate an image of a “sloth playing in the snow,” respondents first acknowledged the request in Spanish and asked for patience. About ten minutes later, users received a hand-drawn pencil sketch depicting a cartoonish sloth clutching a snowball, ready to throw it—created by a local youth volunteer.

“The goal is to highlight the hidden water footprint behind AI prompting and encourage more responsible use,” explained Lorena Antiman of environmental organization Corporación NGEN, which organized the demonstration.

The human-operated system showcased both strengths and limitations. Volunteers responded rapidly to questions about local culture, such as recipes for Chilean sopaipillas, a traditional fried pastry. When faced with unfamiliar queries, they collaborated—walking around the room to find someone with relevant knowledge.

“Quili.AI isn’t about always having an instant answer. It’s about recognizing that not every question needs one,” Antiman noted. “When residents don’t know something, they can say so, share perspective, or respond with curiosity rather than certainty.”

The demonstration comes amid growing concerns about artificial intelligence’s resource demands, particularly in water-stressed regions like central Chile. Modern data centers housing AI systems require enormous amounts of electricity, with many also consuming significant water volumes for cooling systems—requirements that vary based on facility design and location.

Quilicura, positioned on Santiago’s urban periphery, has emerged as a data center hub in recent years. Tech giants including Amazon, Google, and Microsoft have established or planned facilities in the greater Santiago region, attracted by Chile’s stable infrastructure and strategic position in Latin America.

Google, which activated its Quilicura data center in 2015, has defended its operations, claiming to operate “the most energy efficient [data center] in Latin America.” The company has highlighted investments in wetlands restoration and irrigation projects throughout the Maipo River basin. Nevertheless, Google faced legal challenges over another Chilean project due to water consumption concerns.

These environmental questions arise against the backdrop of Chile’s decade-long severe drought, which experts believe contributed to the devastating wildfires that recently swept through parts of the country, claiming numerous lives and destroying thousands of homes.

Antiman emphasized that the campaign doesn’t reject AI’s valuable applications but instead aims to encourage reflection about the environmental consequences of casual AI usage, particularly in communities already facing water scarcity.

“We’re asking people to consider the hidden costs behind every prompt,” said one volunteer during the event. “When you ask AI to create an image or answer a question, real resources are being consumed somewhere—often in communities already struggling with environmental challenges.”

The Quili.AI project represents a creative approach to raising awareness about technology’s environmental footprint, inviting users to reconsider their relationship with AI tools while highlighting the human intelligence and creativity that still powers even the most sophisticated technological systems.

As data centers continue expanding globally, similar conversations about resource allocation, environmental impact, and sustainable technology practices will likely intensify across other regions experiencing water stress and climate vulnerabilities.

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7 Comments

  1. Liam Hernandez on

    While AI can bring many benefits, it’s important we consider the full lifecycle impacts, including resource consumption. This human-powered chatbot demo sounds like an engaging way to spark discussion and promote more sustainable practices in the tech sector.

  2. Amelia Rodriguez on

    I’m impressed by the community’s commitment to this hands-on demonstration. Replacing AI with human labor to field requests is certainly novel, and the wait times for personalized responses must have been an eye-opener for users. It will be interesting to see if this sparks broader change.

  3. Patricia J. White on

    This is a fascinating experiment to highlight the environmental impacts of AI. I’m curious to learn more about the water usage challenges the Chilean community is facing due to the data center industry. It’s inspiring to see them take such a creative approach to raising awareness.

  4. Very interesting concept. Replacing AI with a human-powered chatbot is a novel approach to drawing attention to the environmental costs of data centers and AI-driven services. I’m impressed by the community’s dedication and creative problem-solving skills.

  5. Elijah E. Davis on

    What an innovative approach to raising awareness about AI’s environmental footprint. The hand-drawn sketch of a sloth in the snow is a delightful example of the human touch. I hope this demonstration leads to productive dialogues about finding the right balance between technology and sustainability.

  6. The human-powered chatbot idea is a unique and engaging way to raise awareness about the hidden impacts of AI. I appreciate the community’s commitment to finding hands-on solutions to complex sustainability challenges. It will be fascinating to see if this demonstration sparks broader change in the tech industry.

  7. This is a clever way to highlight the unseen impacts of AI technology. Having a community of people respond to queries in real-time rather than an automated system really drives home the resource intensity involved. I’m curious to learn more about the specific water challenges they’re facing.

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