TwistLabs AI

AI enablement for the future

Countdown to Global Data Runout and Energy Crisis

Projected critical threshold: 2030

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Critical Resource Threshold Approaching

Global AI Ecological and Social Impact Dashboard

AI Energy Consumption

Total compute vs AI compute: how much energy AI systems consume vs. all global compute operations. Rising fast—even with efficiency gains.

AI Compute

Electricity Use

AI Total

625 TWh

25%

AI Total

$125B

Global Total

2,500 TWh

2025 Annual

AI Compute (625 TWh)

Non-AI Compute (1,875 TWh)

Global Compute Water Consumption

Includes cooling & electricity generation

AI Compute

Water Use

AI Total

295B gal

31%

~1.1 trillion liters

Global Total

950B gal

2025 Annual

AI Compute (295B gal)

Non-AI Compute (655B gal)

Total Energy Production vs AI Demand

Annual energy production capacity vs compute.

AI Usage

2.5%

of global energy

Global Capacity

25k TWh

Global Usage

22k TWh

Total Compute

2.5k TWh

2025 Annual

Global Usage (22k TWh / 88%)

Total Compute (2.5k TWh / 10%)

AI Compute (625 TWh / 2.5%)

Unused Capacity (~3k TWh / 12%)

AI Energy Consumption Forecast

Projected energy consumption: AI compute vs. traditional compute infrastructure (2010-2050).
AI energy demand growing exponentially while traditional compute remains steady.

AI Compute Energy

Regular Compute Energy

Token Volume Forecast

Annual token processing: training vs. inference workloads (2010-2050).
Inference demand exploding as AI deployment scales massively beyond model development.

Training Tokens

Inference Tokens

          Key Insight: Inference overtakes training around 2023-2025. By 2050, inference tokens are projected to exceed training by 200x as deployed AI systems process trillions of daily queries.
        

Data & Methodology Note: The metrics and forecasts presented in this dashboard are synthesized from multiple industry reports, academic research, and publicly available data sources spanning 2020-2025. Due to the rapidly evolving nature of AI infrastructure and varying methodologies across sources, exact figures differ between reports. Our projections represent conservative mid-range estimates based on current growth trajectories, accounting for anticipated efficiency improvements in hardware and algorithms. Actual values may vary significantly based on technological breakthroughs, policy changes, and market adoption rates. This dashboard is intended for awareness and strategic planning purposes rather than precise resource allocation. For critical decision-making, we recommend consulting primary sources and conducting independent analysis tailored to your specific use case.

AI Jobs Impact Dashboard 2025

Real-time metrics on AI's transformation of the U.S. job market

Jobs at Risk by 2030

30%

↓ 300M jobs globally affected

Workers Replaced

23.5%

of companies using ChatGPT

Workers Need Upskilling

59%

by 2030

Software Dev Growth

+17.9%

↑ 2023-2033 projection

Manufacturing Jobs Lost

1.7M

since 2000

Workers Fear Displacement

30%

by 2025

Jobs at Risk vs Safe by Sector

Job Growth Projections 2023-2033

Gender Impact: Jobs at Risk

Generational AI Anxiety

Skills Evolution by 2030

Declining vs Growing Occupations

Task Automation Level

60% of jobs significantly modified

Workforce Requiring Retraining

20M workers in next 3 years

Human Skills Still Critical

66% tasks need human input in 2030

STEM Job Market Share

Up from 6.5% in 2010

Data & Methodology Note: The AI jobs impact metrics presented are synthesized from U.S. Bureau of Labor Statistics projections, academic research, and industry reports spanning 2020-2025. Job displacement and growth figures represent mid-range estimates based on current automation trends and AI adoption rates. Skills evolution data reflects employer surveys and workforce analysis. Due to the rapidly changing nature of AI capabilities and varying adoption rates across industries and regions, actual employment impacts may differ significantly. Regional variations, policy interventions, and technological breakthroughs can substantially alter projected outcomes. This dashboard is intended for strategic awareness and planning rather than precise workforce forecasting. For specific workforce planning decisions, consult current BLS data and conduct industry-specific analysis.