tl;dr: I dumped out all my thoughts on artificial intelligence, the future of work, and AI in the job search on Mac’s list career podcast.
We are living in the glory days of podcast content. I don’t even care that New York Times thinks we are at peak podcast, I am loving the variety and niche topics that podcast creators are delivering on a daily basis. There isn’t enough time in the day to listen to all the podcasts in my feed.
Right now I’m totally into season four of ZigZag podcast. The theme of redefining success resonates with me.
I’m late to this podcast series party, but I’m obsessed with Caliphate and the behind the scenes action of investigative journalism.
Having just wrote a quasi-self help book, I absolutely loved Unladylike’s How to Self Help Yourself episode, as well as How to Own your Talent with Ashely Nicole Black, as well as the hip hop Spotify playlist as a compliment to the episode, How to Be Da Baddest Bitch in Hip Hop.
And Innovation Hub shared a new perspective on how meritocracy is damaging our economy.
While I’ve been busy consuming all the podcasts, I’ve also been hosting my own tiny-but-mighty podcast for career changers and am busy guesting around on others. Most recently I jumped on the fabulous career podcast from the Pacific Northwest, Mac’s List.
I covered artificial intelligence in the job search and how new technology is reshaping our careers. I also tell you why the robots aren’t exactly taking over our jobs.
Give it a listen.
Curious about how AI technology might change your job? The NYT offers a glimpse at how algorithms are changing traditional roles. In retail, fashion buyers who are normally tasked with making purchasing decisions, are increasingly using algorithms to do the task. These algorithms make fashion decisions and predict the next big trend, a task normally associated creative geniuses. With so much consumer data, predicting trends and stock levels is left to the machines, no intuition needed.
“Retailers adept at using algorithms and big data tend to employ fewer buyers and assign each a wider range of categories, partly because they rely less on intuition.
At Le Tote, an online rental and retail service for women’s clothing that does hundreds of millions of dollars in business each year, a six-person team handles buying for all branded apparel — dresses, tops, pants, jackets.”
The result is two-fold: the industry is using fewer buyers in the decision-making process and retailers are increasingly hiring people who can “stand between machines and customers.” The article notes that there are plenty of areas where automation can’t do the job. Negotiating with suppliers, assessing fabric transparency, and styling all need a human touch.
Instead of replacing all the humans, algorithms are changing how we work. As a result, future roles (and managers) will demand employees who understand understand how to use algorithms to make decisions that improve the final product, while also understanding the limitations of the technology.
In the future of work (which is already here and we need a better phrase), we’re going to need a lot more of these employees.