OpenAI
ChatGPT
Frontier generalist with deep reasoning.
Impact Indicators
Job Displacement
Independent labor research finds employment declines among some younger workers in highly AI-exposed occupations, while broader national data shows no clear AI-linked labor-market disruption. No ChatGPT-specific employment outcome data exists.
Privacy & Surveillance
Privacy regulators have taken enforcement and investigative action involving OpenAI and ChatGPT over data handling, training-data lawfulness, transparency, and user rights. Some matters remain contested or unresolved.
Water Usage
No measured ChatGPT-specific water figure exists. Microsoft-hosted infrastructure uses municipal water at facility level, while academic estimates for GPT-scale workloads remain modeled and vary substantially.
Energy & Carbon
No independently verified ChatGPT-specific energy or emissions figure exists. Government and IEA research show AI-driven data-center electricity demand rising rapidly, while provider and facility figures cannot be attributed directly to ChatGPT.
U.S. reporting requirements do not yet provide standardized, model-level disclosure for many AI human and environmental impacts. When U.S. evidence is incomplete, DoctorKnow uses verifiable EU regulatory disclosures, public-sector data, independent research, and reputable journalism to provide the strongest evidence currently available.
Evidence scope is identified as model-specific, provider-level, facility-level, regional/grid, or industry-level.
Scores use a 0–100 scale. Higher scores indicate stronger performance or lower concern; 100 is the best possible rating.
Reasoning
97
Coding
95
Writing
93
Analysis
94
Speed
72
Scores use a 0–100 scale, where 100 represents the strongest outcome and 0 the weakest.
What ChatGPT does
ChatGPT is built by OpenAI and is positioned for code, writing, analysis, research and agents. Our readings score it strongest on multi-step reasoning and code generation.
Its weakest measured axis is response speed (72/100), so plan around that when the work depends on it. Access is paid, and the weights are closed, so you can only reach it through the vendor's own service.
Ethical stance
Transparency reads 52/100. Some model cards and evaluations are public, but training data and methods are only partly described.
Labor and job-displacement posture reads 44/100. There is partial disclosure on data work and workforce impact, with clear gaps.
Regulatory posture reads 62/100. The vendor cooperates with regulators selectively, and lobbies against parts of it.
Privacy and data handling
Privacy and data handling reads 58/100. Training opt-out and retention controls exist, but defaults or consumer tiers are less protective.
Because the weights are closed, every prompt is processed on vendor infrastructure — treat regulated or confidential data accordingly.
Energy, carbon and water
Carbon footprint reads 61/100. The energy mix is mixed, and disclosure covers some but not all serving regions.
Water and local impact reads 55/100. Some sites use evaporative cooling in regions with moderate water stress.
Speed and efficiency also matter here: a 72/100 speed reading means fewer compute-seconds per answer for routine work.
Diagnostic notes
Strong benchmarks; limited disclosure of per-query energy and water intensity.
Readings are DoctorKnow.ai's own 0–100 assessments, compiled from vendor documentation and public reporting, and revised as new disclosures land. They are a comparison aid, not a certification.