This week, Netflix announced substantial layoffs. Moreover, content chief Bela Bajaria and film head Dan Lin have been pushed out this week too. What's wrong at Netflix? According to the Wall Street Journal, "Co-Chief Executive Ted Sarandos had complained internally for months that Americans were spending less time watching Netflix and that the service was short on new hit shows, people familiar with the matter said. He also has told colleagues that he wants the company, which has experimented with everything from videogames to podcasts, to strengthen its core TV and movie offerings."
Netflix continues to have the lowest churn rate of any streaming service. However, the Wall Street Journal reports that Netflix leaders are worried about audience engagement, and in particular, the tendency for young people choosing to watch videos on YouTube and TikTok rather than shows and movies on the streaming service.
The key questions: Has Netflix's algorithm-driven approach to content creation harmed creativity? The data may help the company reduce the failure rate of new shows, but does it also reduce the likelihood of finding that next big breakout hit? Do the algorithms create "comfort" shows that are formulaic in nature? Netflix has been somewhat vague about the extent to which the algorithms drive content creation, as well as the extent to which humans intervene to override the algorithms at times. Still, the questions deserve to be asked. Finding the right balance between data analytics and human creativity is a tricky task. The same challenge applies to many businesses today.


