Silica exposure is one of the oldest known occupational hazards in the world, yet it remains widely misunderstood, under-prioritized, and routinely mismanaged across modern industries.
In this episode of The Safety Spotlight, we sit down with Nayab Sultan, an occupational and environmental health specialist with decades of international experience, to unpack why silica continues to pose such a serious and often invisible risk to workers today.
Drawing on real-world cases from construction, mining, infrastructure, and global health settings, Nayab explains how respirable crystalline silica behaves in the body, why there is effectively no safe level of exposure, and how silicosis can develop silently over years or, in extreme cases, within weeks. He also explores why silicosis is frequently misdiagnosed as tuberculosis, the long-term consequences of that failure, and how gaps in professional training and risk anticipation continue to put people at risk.
The conversation goes beyond compliance checklists to address deeper system issues, including inconsistent education standards for safety professionals, the lack of long-term exposure tracking for transient workers, and the false sense of safety created by familiarity and routine. We also discuss how emerging AI tools are beginning to change early detection and diagnosis, particularly in resource-limited environments, and what lessons Canada still needs to learn from global silica hotspots.
This episode is a clear reminder that silicosis and silica-related diseases are entirely preventable, but only if risk is recognized early, controls are taken seriously, and uncomfortable conversations are not avoided.
What You’ll Learn
- Why silica exposure is fundamentally different from many other workplace hazards
- How silicosis develops, including simple, accelerated, and acute forms
- Why silica is often misdiagnosed as tuberculosis and why that matters
- How low-level exposure over time can be just as dangerous as short-term high exposure
- Where current safety training and awareness fall short
- Why “getting the job done” culture quietly drives long-term health outcomes
- How AI is starting to improve diagnosis and what that could mean for worker health