⚕️ Canada maintains full health coverage. Sri Lanka’s steady secondary enrolment. Productivity drives agentic AI use.
Chart of the Day #586 looks at Sri Lanka’s secondary school enrolment, Canada’s health coverage and agentic AI usage.
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Today's Topics
🏫 K-12 Education. Sri Lanka’s secondary school enrolment among the highest in the world
⚕️ Health Skills. Canada’s health coverage maintained 100%
🤖 Artificial Intelligence. Agentic AI usage was led by productivity and automation
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🏫 Sri Lanka’s secondary school enrolment among the highest in the world

Secondary school enrolment in Sri Lanka peaked in 2018. The trend reflects strong historical access prioritising free education. This policy has supported high enrolment and contributed to one of the highest literacy rates in the region. Broad access to schooling has strengthened human capital and social mobility over time. The Free Education Policy implemented by the Government of Sri Lanka ensures universal access to education.
⚕️ Canada’s health coverage maintained 100%

Healthcare coverage in Canada remained at 100% from 2010 to 2024, indicating universal access across the period. The trend shows complete stability with no variation over time. This consistency is driven by Canada’s single-payer Medicare system, where provinces deliver publicly funded care, ensuring coverage regardless of income or employment, unlike mixed insurance models facing gaps elsewhere. Ageing populations are increasing system strain, particularly on workforce capacity. The Canada Health Act, implemented by the federal government, mandates universal coverage nationwide.
🤖 Agentic AI usage was led by productivity and automation

Agentic AI usage increased across organisations in 2025, with the highest adoption in process automation, customer service, and banking/financial services. However, negativity stems from trust deficits and rising concerns over job security, with layoffs including Salesforce cutting 4,000 customer service roles. Employer sentiment varies about the readiness of deployment of agentic AI, while some organisations misunderstand agents' unpredictability. Transparency and explainability rank as top ethical concerns, compounded by infrastructure constraints and data gaps, prompting companies to constantly work around these challenges.
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