ai-tech-updatedIBM CEO Ginni Rometty Predicts AI Will “100 Percent” Transform the Future of Work

How much with AI change the future of work? “100 percent,” says IBM CEO Ginni Rometty. 

Big Blue’s chief executive spoke at length about how AI will radically transform the workplace at CNBC’s @Work Talent + HR: Building the Workforce of the Future Conference in New York earlier this week.

I expect AI to change 100 percent of jobs within the next five to 10 years,” Rometty said. But the transformation won’t be easy, said Rometty – even though relatively few jobs will be lost, millions of people will require specialized training to find meaningful jobs in the workforce of the future. 

From my perspective, the looming transformation of work will translate into vast new responsibilities for senior technology leaders and executives. In addition to focusing on systems and solutions, we’ll also need to focus on people and processes.

This shift in focus may prove difficult, since it will undoubtedly require new skills and insight. In the economy of tomorrow, successful CIOs will need a combination of recruiting and mentoring skills to make sure their organizations attract, hire and retain the most highly talented people.

In other words, CIOs and senior tech execs will have to become “super magnets” for top talent. 

The war for talent is heating up faster than anyone expected. There are more than 500,000 unfilled high-tech jobs in the U.S. today, and the nation’s education system is simple not designed to educate workers for a fast-growing digital economy. As technology leaders, we’ll need to step up and play a more significant role in transforming our schools and colleges. Business and industry can’t do it alone – the challenge is simply too large and requires a massive rethinking of how we educate people.

The good news, however, is that technology is guiding us into a better and more prosperous future. 

“According to the World Economic Forum, the value of digital transformations in the Fourth Industrial Revolution is estimated at $100 trillion in the next 10 years alone, across all sectors, industries and geographies,” writes Lori Ioannou of CNBC.


law-enforcement-tech-croppedShould Amazon Sell High Tech to Law Enforcement? 

AI researchers and scientist are becoming increasingly worried about the spreading use of facial recognition systems, and some have called for Amazon to stop selling its tech to law enforcement agencies.

Researchers posted an open letter to Amazon on Medium, in which they expressed concerns about biases that can skew the results of facial recognition systems.  

“Face recognition has become a banner issue for those concerned about irresponsible uses of AI, and it seems increasingly likely that some form of regulation will arrive,” according to a post by Will Knight in The Download. “But the technology is spreading rapidly, and companies are struggling to adjust their positions. Microsoft has said it will continue to work with law enforcement but has also backed legislation that would require signs showing where face recognition is being used. Google has said it won’t supply face recognition until it can come up with an appropriate policy.”


5G-image-croppedVerizon Rolling Out 5G in Chicago and Minneapolis 

The U.S. moved a step closer to 5G this week with an announcement from Verizon that it’s rolling out high-speed wireless networks in two cities.

Verizon on Wednesday announced that it has turned on its 5G wireless network in two markets — Chicago and Minneapolis — that will work with the next generation of connected gadgets. Verizon CEO Hans Vestberg told CNBC that the company will activate 30 additional markets this year,” writes Todd Haselton of CNBC. “This network complements Verizon’s existing ‘5G Home’ service which launched in October in select areas and is a wireless alternative to a traditional cable-based home internet connection, but does not work far beyond the walls of your home.”

Verizon says 5G customers can look forward to speeds up to 1 Gbps, which is about 10 times faster than conventional LTE networks.