The more that people are truly motivated and self-driven, such as those who put the effort into utilizing online education, the more they will be in a position to do really well.
Yet, upon their graduation from an online learning environment, many candidates face an uphill climb for respect on the same level as those who have graduated from a traditional learning environment.
Why does this occur and when might it change?
A lot of the discussions I see around machine learning and AI appear to assume that, when we talk about a shift of any kind, there’s going to be a complete replacement of 100% human work with 100% machine work.
However, I don’t necessarily see that picture the same way people paint it.
Instead, I see new opportunities on a grand scale potentially opening up for people.
Here’s why: What we’re seeing is not an overnight transformation but a multiple step progression that will happen over time. As it does, there’s room for a smooth transition period to occur in which people adapt into new roles that meet new demands. This seems far more realistic than the idea that jobs will suddenly vanish one day and leave millions of people without career options the day after.
There seems to be some real disagreement in the press lately about Chicago’s place in the world as a technology hub. Is our city truly the next Silicon Valley and one of the rising tech hubs in the world? Or are we allowing news of the latest tech success stories to cloud our judgment?