{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/6710bd164114798e63e10fe5/699572d9c4b7a0510c98d8fe?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"#039: AI news for business - week 8","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/6710bd164114798e63e10fe5/1771401891269-44adde60-726f-47ce-be05-b27fe6578948.jpeg?height=200","description":"<p>This time, host Magnus Oxenwaldt examines a recent UC Berkeley study that links heavy AI use to rising burnout, as saved time quickly turns into more work.&nbsp;</p><p><br></p><p>A familiar pattern is emerging across industries. Many firms are reducing headcount based on expected AI gains. OpenAI has introduced ads in ChatGPT's free tier. A global safety report calls for layered controls as vendor safety teams shift. The tools work. The real question is how we use them.&nbsp;</p><p><br></p><p><strong>Highlights&nbsp;for&nbsp;week 8:</strong>&nbsp;</p><ul><li>Heavy AI use increases speed but also raises the risk of burnout.&nbsp;</li><li>Workforce cuts are being made based on expected, not yet proven, AI gains.&nbsp;</li><li>Ad-supported AI models introduce new incentive questions for enterprises.&nbsp;</li><li>Safety experts call for layered controls as vendor teams evolve.&nbsp;</li></ul><p>&nbsp;</p>","author_name":"Magnus Oxenwaldt"}