They are all jobs that didn’t exist 10 years ago and they’re all a result of the super-fast scientific change something that shows no sign of slowing.
That’s an impressive stat, but it’s nothing new. Remember, a decade ago the first iPhone had in a minute launched and Twitter was only just starting out. We are a generation familiar with invariable change and fast-paced innovation.
I see headlines every day out about how robots will take our jobs and why AI could destroy more jobs that it creates. But in practice, I don’t see it and the data doesn’t show it. Globally, according to the International Labour Organization, the unemployment rate is predicted to fall and in France specifically, is at its lowest level since 2009.
This is the clearest example yet of why people aren’t and won’t be cast aside by a new team of robots. The digital project of the future will be built and led by a nation who can augment their capability with data, not by robots.
I would argue that data is actually making us more human. It allows us to spend time on creative projects where emotion, tone, and sentiment is at the heart of everything we do. By understanding how to collaborate with machines to augment human capabilities we can be a driver of innovation, a creator of wealth, and a purpose-driven business committed to social impact.
Artificial intelligence might one day be able to tell you the answer to the Yang-Mills continuation and mass gap, one of the unsolved Millennium Prize Problems. But, it won’t be able to understand the cultural or social impact of using digitization to combat the impact of climate change or the difference the technology at the center of complex medical issues makes to the families of people saved and cured.
Our belief is that the modernism economy will be shaped by thriving technology ecosystems that require three key elements: great people, talented teams, and purpose-driven businesses that can influence impact, and supercharge growth three human being qualities.
Spotting new talent and training and retaining and retraining people who will make up the opportunity workforce is essential to compete in the innovation economy; we need people who consider differently.