💼 Female Employees in Tech. Nuclear Energy on the Rise. AI Tasks Leading Carbon Dioxide Emissions.
Chart of the Day #426 Looks at Share of Female Employees in Leading Tech Companies, Nuclear Energy Among Industrialized Nations and Carbon Dioxide Emissions by AI Task.
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Today's Topics
💼 Workforce. Amazon had the highest share of female employees
🍃 Green Skills. The US had the highest share of nuclear energy over China and India
🤖 Artificial Intelligence. Image generation emitted the most carbon dioxide
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💼 Amazon Had the Highest Share of Female Employees
Women now make up a significant share of the workforce in top US tech companies, with Amazon leading at 45% and firms Meta, Apple, Alphabet, and Microsoft all crossing the 33% mark. These figures suggest steady progress in narrowing gender gaps in an industry long dominated by men. Rising female participation also reflects broader trends, with more women pursuing STEM education and leadership pathways.
🍃 The US Had the Highest Share of Nuclear Energy Over China and India
Nuclear energy generated a significant share of electricity in 2024, with the US, China, and India among its leading adopters. Beyond providing stable baseload power, nuclear plays a crucial role in reducing carbon emissions and supporting energy security. Nations are positioning nuclear as a long term clean energy solution. This momentum was echoed at Climate Week NYC 2025, where nuclear innovations featured prominently in discussions about scaling climate solutions.
🤖 Image Generation Emitted the Most Carbon Dioxide
AI tasks show wide variation in carbon emissions, with text-based functions like classification emitting under 1g of CO₂ per 1,000 queries, while image generation produces 1594g, equal to driving over four miles. This contrast highlights the heavy environmental toll of computationally intensive AI models. As demand for AI accelerates, companies are exploring greener data centers and renewable energy adoption. The European Union’s Green Deal policies are pushing for sustainable innovation across high energy digital industries.
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