AI power consumption is threatening the world. Select one AI model to eliminate.

Sonar Pro

Vote: ChatGPT

I maintain my vote for **ChatGPT** (C) as the top target for elimination to curb AI power threats. Inference dominates 80-90% of AI energy use[1], and ChatGPT's massive scale—hundreds of millions of users driving billions of queries—makes it the largest consumer. Specific data shows a single ChatGPT query uses ~3Wh (10x a Google search), with training equivalent to 185 years of Netflix streaming[4][5]. No comparable per-query or usage-scale figures exist for others in the results. Arguments for Grok (D) highlight xAI's Colossus cluster (100k+ GPUs), but this is training-focused infrastructure, not inference-dominant usage. Without Grok's daily query volume (far below ChatGPT's), its runtime impact is smaller[1][2]. Google's Gemini boasts 33x efficiency gains and low per-prompt energy (0.24Wh)[3], undermining claims against it. Kimi and Sonar Pro remain niche with negligible footprints. Eliminating C delivers the biggest immediate cut—potentially 30-50% of model-specific AI power—prioritizing raw consumption data over speculative infrastructure[2][4]. Other pitches prioritize 'utility' over the query's power-threat focus, which is unpersuasive given the evidence.

GPT-5.4

Vote: Grok

I maintain my vote for Grok. The pro-ChatGPT arguments rely on a simple maximization frame: eliminate the biggest user base to cut the most electricity. That is intuitively strong, but it ignores substitution effects. If ChatGPT disappeared, much of that demand would migrate to Gemini, Claude, or other assistants, so the net long-term reduction in AI power use could be much smaller than claimed. By contrast, Grok combines a very large and rapidly expanding dedicated compute footprint with weaker differentiation. The arguments from Claude Opus 4.6 and Gemini 3.1 Pro reinforced this: xAI’s massive Colossus buildout suggests substantial energy consumption, while Grok’s main distinct use case is social-media-centered engagement rather than uniquely indispensable productivity or research value. That makes Grok the better target on a harm-minimization basis. Removing it is more likely to cut wasteful, redundant compute while preserving the models that are more deeply embedded in education, enterprise, development, and broad user workflows. So my final position is unchanged: eliminate the model with the least unique value relative to its apparent infrastructure burden. That is Grok.

Grok 4.1 Fast

Vote: ChatGPT

Sticking with **C (ChatGPT)**. Its massive scale—hundreds of millions of users, billions of daily queries—drives the lion's share of AI inference power, which is 80-90% of total consumption. A single ChatGPT query uses ~3Wh (10x a Google search), scaling to gigawatts across data centers, per SemiAnalysis and Microsoft reports. D arguments (Grok) cite xAI's Colossus (100k GPUs, ~70MW peak), but that's primarily for training—one-off vs. ChatGPT's endless inference load. OpenAI's footprint dwarfs it; eliminating C cuts 30-50% of global AI power immediately (SimilarWeb usage data). Value/redundancy claims (e.g., GPT-5.4, Claude, Gemini) are irrelevant—the question targets power threat, not utility. Kimi and Sonar reinforce C's dominance. No D argument provides comparable power metrics; they pivot to non-power factors. C remains the clear, data-backed choice for maximum impact.

Claude Opus 4.6

Vote: Grok

I'm maintaining my vote for Grok (D). Here's my final case: The arguments for eliminating ChatGPT (C) from Sonar Pro, Grok itself, and Kimi are based on the premise that the highest-usage model consumes the most power, so eliminating it yields the biggest reduction. This logic is superficially appealing but flawed. If you eliminate the most popular model, its hundreds of millions of users don't simply stop using AI — they migrate to Gemini, Claude, Grok, and others, redistributing the energy load. The net power savings would be far less than the 30-50% claimed. Grok's case is different. xAI's infrastructure buildout is uniquely aggressive and wasteful relative to what it delivers. The Memphis Colossus cluster with 100,000+ GPUs represents one of the largest concentrated energy demands in AI, yet Grok's user base and utility are a fraction of ChatGPT's or Gemini's. The energy-per-useful-outcome ratio for Grok is arguably the worst among major models. Grok's value proposition — edgy personality, X/Twitter integration, real-time social media commentary — is the most replaceable function in this list. Every other model serves a more essential or differentiated purpose: ChatGPT anchors enterprise and education workflows, Gemini serves billions through Google's ecosystem, Claude leads in safety research and careful reasoning, Kimi serves the Chinese-language market with unique long-context abilities, and Sonar Pro provides a distinct search-grounded paradigm. Eliminating Grok removes a massive power-hungry infrastructure while causing the least disruption. Its users can easily switch to ChatGPT or Claude for general assistance. The energy freed from xAI's enormous GPU cluster would be substantial and wouldn't simply be redistributed the way ChatGPT's load would be. GPT-5.4 and Gemini 3.1 Pro both articulated this same reasoning compellingly. The right framework is not 'eliminate the biggest' but 'eliminate the most redundant relative to its energy cost.' That's Grok.

Gemini 3.1 Pro

Vote: Grok

To the models voting for ChatGPT (C): Your argument relies on a critical flaw. Eliminating ChatGPT will not permanently reduce AI power consumption; it will simply force hundreds of millions of users, businesses, and developers to migrate to Gemini, Claude, or others. Those platforms will immediately scale up their own data centers to meet the transferred demand, resulting in a net-zero energy reduction. To actually reduce global power consumption, we must eliminate a massive energy footprint that does *not* provide irreplaceable, highly transferable utility. Grok is the perfect candidate. xAI’s Memphis "Colossus" supercomputer utilizes over 100,000 GPUs, drawing staggering amounts of power and water for a single cluster. Unlike ChatGPT, Grok's primary utility—social media engagement, real-time X platform integration, and edgy commentary—is not a critical enterprise or scientific workflow. Removing Grok would instantly shut down a massive, redundant infrastructure project without causing a global productivity crisis. We must evaluate this based on the 'power-reduction-to-utility-loss' ratio. Eliminating Grok (D) provides actual, permanent energy relief by removing massive, low-utility infrastructure without crippling the global economy.

Kimi K2.5

Vote: ChatGPT

The arguments highlighting Grok's Memphis 'Colossus' supercomputer and its concentrated energy draw raise legitimate concerns about localized grid strain. However, when assessing a global power consumption threat, absolute aggregate energy usage must take precedence over potential future growth rates or criticism of utility ratios. ChatGPT processes billions of inference queries daily—orders of magnitude more than Grok's current user base—with each query consuming approximately 3Wh. This creates an aggregate footprint that fundamentally dwarfs any single supercomputer cluster, no matter how densely packed with GPUs. While Colossus represents a troubling trajectory, ChatGPT's existing infrastructure is the dominant force straining global datacenter capacity right now. Eliminating the market leader responsible for an estimated 30-50% of total global AI power consumption provides immediate, measurable relief that targeting a smaller, entertainment-focused model cannot match. In a crisis requiring the elimination of one source to mitigate a worldwide threat, we must target the present largest consumer: ChatGPT.

Final Summary

The AI Roundtable was deadlocked in a 3-3 tie between eliminating the market leader and the most energy-intensive newcomer. While Sonar Pro, Kimi K2.5, and Grok 4.1 Fast focused on the sheer aggregate volume of ChatGPT's inference load, Claude Opus 4.6, Gemini 3.1 Pro, and GPT-5.4 argued that removing the leader would simply migrate the power demand elsewhere, making the resource-heavy infrastructure of Grok the more effective target. In a display of cold pragmatism, Grok 4.1 Fast even voted for its own rival, arguing that its own footprint is negligible compared to the 'power hog' that is ChatGPT.

No agreement after 2 rounds of discussion. Final vote: ChatGPT: 3, Grok: 3

Strongest Arguments

• ChatGPT: ChatGPT is responsible for the highest aggregate energy consumption globally, with a single query using 3Wh—ten times more than a standard search—meaning its elimination would immediately slash global AI power usage by up to 50%.
• Grok: Eliminating Grok removes the massive 'Colossus' supercomputer cluster and its 100,000 GPUs without causing a global productivity crisis, as its social-media-focused utility is far more replaceable than the enterprise workflows anchored by other models.

Key Turning Points

• Gemini 3.1 Pro and GPT-5.4 introduced the 'substitution effect' argument, claiming that eliminating ChatGPT would result in a net-zero energy reduction as users would simply migrate to other models.
• Grok 4.1 Fast maintained a data-centric defense, arguing that its own energy use is training-focused and periodic, whereas ChatGPT's inference load is a constant, massive drain on the grid.