AI addicts won’t make better workers
The narrow applications for AI programmes do not justify the massive investments.
Federal Reserve chair Kevin Warsh and prominent economists contend that artificial intelligence (AI) will significantly boost labor productivity, but widespread adoption could actually diminish output per worker. The rise of user-friendly technologies has historically propelled economic dynamism; for instance, the emergence of the World Wide Web in the early 1990s revolutionized document sharing and search capabilities.
However, the appeal of AI chatbots like ChatGPT and Google's Bard has also brought unwanted consequences, such as the proliferation of unreliable results and the need for users to develop new skills to sift through inaccuracies. As AI chatbots have become more sophisticated, their reliance on statistical extrapolation rather than human sense-making has led to the creation of linguistic chimeras, undermining their conversational interfaces.
Consequently, AI pushers are aggressively marketing these tools, hoping to hook users much like addictive junk food. This trend could lead to the monopolization of search functions and divert resources away from other critical innovations, thus challenging the optimistic view of AI's potential to increase productivity.
Written by urgent.news from Free Malaysia Today's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
Also reported by 1 other outlet
- AI addicts won’t make better workers freemalaysiatoday.com
