<p>I think that Data Science as a field is quickly sliding into obscurity in terms of applied statistics. It's becoming a hybrid of IT and business analytics. The data scientists are not able to answer AI and ML questions anymore, so they increasingly flow into CV. I see a steady stream of AI questions not only incoming, but also being properly answered. We should keep answering them so that statistical learning aspects of AI will be taken care of here.</p>

<p><a href="https://hbr.org/" rel="nofollow noreferrer">HBR</a> started the data science fad in the industry with the article "<a href="https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century" rel="nofollow noreferrer">Data Scientist: The Sexiest Job of the 21st Century</a>." Interestingly, they bent the <a href="https://flowingdata.com/2009/02/25/googles-chief-economist-hal-varian-on-statistics-and-data/" rel="nofollow noreferrer">quote</a> from Google Chief Economist Hal Varian that "the sexy job in the next ten years will be statisticians." Now there was an article in January 2017 in Forbes "<a href="https://www.forbes.com/sites/bernardmarr/2017/01/10/can-ai-make-the-sexiest-21st-century-job-obsolete/#1bcaae097c92" rel="nofollow noreferrer">Can AI Make The Sexiest 21st Century Job Obsolete?</a>." So, the industry folks went full circle on data science thing :)</p>
