Part 5/11:
Data Analysis: AI's prowess in processing vast data sets and recognizing intricate patterns surpasses human capabilities, especially in high-volume environments. For example, GPT-4's estimated 1.8 trillion parameters, with anticipated growth to tens or hundreds of trillions, equate to brain-scale processing power—machines that do not tire, sleep, or fall ill.
Language-Based Tasks: Recent advances in NLP allow AI to handle customer inquiries, generate reports, translate languages, and conduct research, reducing reliance on human input. However, tasks requiring emotional intelligence (EQ)—such as reading subtle social cues or understanding empathy—still pose a challenge for AI, giving rise to a potential “EQ as the new IQ” in future work requirements.