💼 Advanced Degree Holders With Most Jobs. Container Ships Emitted Most CO2. Healthcare Led Vertical AI Investment.
Chart of the Day #513 Looks at Multiple Job Holders in the US, CO2 Emissions From Global Shipping, and Investment Into Vertical AI.
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Today's Topics
💼 Workforce. Advanced degree holders held more jobs in the US than any other group
🍃 Green Skills. Container ships were the largest CO2 emitters
⚕️ Health Skills. Healthcare topped US vertical AI investment to $1.5B
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💼 Advanced Degree Holders Held More Jobs in the US Than Any Other Group

By 2024, advanced degree holders in the US had the highest share of multiple-job employment, surpassing those with bachelor’s degrees and far above less-educated groups, reversing the common expectation that lower-skilled workers hold multiple jobs. This reflects that highly educated professionals increasingly pursue multiple high-paying roles, consulting, and portfolio careers, leveraging skills and networks. It underscores the value of formal tertiary education for access to diverse, knowledge-intensive opportunities and income streams in a flexible labour market.
🍃 Container Ships Were the Largest CO2 Emitters

Global shipping underpins global supply chains but generated 280 MMT of CO₂ from 2016 to 2023, with container ships and bulk carriers the largest emitters, accelerating climate and marine ecosystem damage. The sector, imperative for global supply chains to function smoothly, is now under pressure from IMO decarbonisation targets, including carbon-intensity rules and net-zero ambitions by 2050. Adoption of clean fuels, efficiency standards, and emissions reporting is accelerating, though high retrofit costs and fuel availability remain key bottlenecks.
⚕️ Healthcare Topped US Vertical AI Investment to $1.5B

In 2025 healthcare sector led vertical AI spending in the US, reflecting urgent demand for industry-specific AI solutions. Vertical AI refers to artificial intelligence tailored to a particular industry’s data, processes, and regulatory needs, unlike general models applied broadly. Healthcare’s embrace of AI enables clinical data analysis, personalised treatment insights, workflow optimisation, and reduced administrative burden, improving outcomes and lowering costs. However, adoption faces data privacy constraints through regulations such as HIPAA, integration with legacy systems, and the need for clinical validation and governance to ensure safety and trust.
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