I was 17 when I went to study law in UCD in 1990. At school in Boyle, Co Roscommon, I was interested in science and biology, but I did not take up the CAO offer to study genetics in Queen's as I was scared of maths.
Estefania Angel noticed that while her company helped other enterprises set up AI, it did not use those systems internally. She began using AI apps in Slack, Outlook, and Google to track assignments, which garnered attention from her superiors.
Research shows that 70 percent of workers believe they're above average at multitasking. Here's the problem: that's statistically impossible. And this delusion is killing our productivity. I've fallen for this trap myself. During my years in corporate, I prided myself on juggling multiple projects, answering emails during meetings, and keeping dozens of browser tabs open. Running my own company later taught me a harsh truth-what I thought was efficiency was actually just organized chaos.
We introduce a new measure of AI displacement risk, observed exposure, that combines theoretical LLM capability and real-world usage data, weighting automated (rather than augmentative) and work-related uses more heavily. AI is far from reaching its theoretical capability: actual coverage remains a fraction of what's feasible.