The unwillingness to acknowledge the end of “learn a new skill” as a path to growth

(written by lawrence krubner, however indented passages are often quotes). You can contact lawrence at:, or follow me on Twitter.

Probably written by someone with no experience in business, or a very large reason to distort the truth. This is very stupid and detached from reality:

It won’t be long before “skilled in machine learning” becomes the new “proficient in Excel” as a standard bullet point on your resume. The only difference? What you bring to table will be more valuable than a pivot tables or color-coded pie charts.

The day when any average Joe can train an algorithm along with his morning coffee is well within reach. The experience of using artificial intelligence is becoming more accessible, and choosing an algorithm to create an end-of-year report will soon be as simple as selecting a template in Microsoft Word. New hires will see promotions come quicker, startups will see faster growth, and the traditional enterprise businesses will see efficiency integrated into their corporate culture, whether they like it or not.

We’re already building machine-learning skills on a daily basis. When we flag a spam email or skip video ads on YouTube, we are training algorithms to apply statistical methods to data so computers can learn what humans want and serve us better content without requiring constant intervention. Training algorithms like this is called “machine learning,” and as this process becomes easier to deploy in more places, we will be able to train AI to do more than just sort our emails or filter our ads.

Flag spam on YouTube? That is the same as “train a model”? Is the suggestion that people can make a living flagging stuff on YouTube?

This is not a path forward, and does not answer the question of how to raise wages. Nor does it answer the crucial problem that most large companies have been unable to use any of their data in strategic decisions.

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