You may have heard that we are currently on the cusp of the fourth industrial revolution – a time where the barriers between physical, digital, and biological sectors will be eliminated by Artificial Intelligence. And though a lot of us may be experiencing some Boston Dynamics level creep factor, it's something that we are going to have to face and adapt to. You may be thinking that this will be a technology focused issue – something that HR and recruiters won't have to worry about. However, they will actually need to be as close to this cutting edge as possible. HR will be instrumental in this evolution.
Cisco Systems is laying off at least 14,000 employees, around 20 percent of its total workforce, technology news site CRN reported Tuesday. Sources told CRN that the San Jose-based company will announce the layoffs within the next few weeks. The manufacturer of networking equipment will dismiss between 9,000 to 14,000 employees worldwide as it transitions from "its hardware roots into a software-centric organization," the report said. Many employees have already been offered early retirement plans. "They need different skill sets for the software-defined future than they used to have," a source said.
Automation and artificial intelligence (AI) are changing the nature of work. In this discussion paper, part of our ongoing research on the impact of technology on the economy, business, and society, we present new findings on the coming shifts in demand for workforce skills and how work is organized within companies, as people increasingly interact with machines in the workplace. We quantify time spent on 25 core workplace skills today and in the future for the United States and five European countries, with a particular focus on five sectors: banking and insurance, energy and mining, healthcare, manufacturing, and retail. Key findings: Automation will accelerate the shift in required workforce skills we have seen over the past 15 years. Our research finds that the strongest growth in demand will be for technological skills, the smallest category today, which will rise by 55 percent and by 2030 will represent 17 percent of hours worked, up from 11 percent in 2016.
Beyond traditional industrial automation and advanced robots, new generations of more capable autonomous systems are appearing in environments ranging from autonomous vehicles on roads to automated check-outs in grocery stores. Much of this progress has been driven by improvements in systems and components, including mechanics, sensors and software. AI has made especially large strides in recent years, as machine-learning algorithms have become more sophisticated and made use of huge increases in computing power and of the exponential growth in data available to train them. Spectacular breakthroughs are making headlines, many involving beyond-human capabilities in computer vision, natural language processing, and complex games such as Go. These technologies are already generating value in various products and services, and companies across sectors use them in an array of processes to personalize product recommendations, find anomalies in production, identify fraudulent transactions, and more.