Weekends are time when things slow down a little. Your weekend shouldn’t be two more regular work days. That’s a sure road to burnout. Take time to refresh yourself. Take time for something different. Take time for some of that reading you can’t find time for during the week.
Here are choice articles on hot leadership topics culled from the business schools, the business press and major consulting firms. This week I chose some articles that will enrich your thinking about the year(s) ahead.
“Regardless of which view prevails, navigating this terrain requires a workforce that can adapt to changing environments and acquire the skills necessary to be successful in the future. And that’s where we are falling short. In the surveys of the U.S. workforce that we conduct at the American Psychological Association, training and development consistently emerges as one of the areas employees are least satisfied with and lack of opportunity for growth, and advancement is second”
“New technologies have been replacing workers and transforming economies over the past two centuries. But, over time, these same technologies led to the creation of whole new industries and new jobs. While the technologies of the industrial economy helped to make up for our physical limitations, the technologies of the digital economy are now enhancing our cognitive capabilities. They’re being increasingly applied to activities that not long ago were viewed as the exclusive domain of humans. Will the AI revolution play out like past technology revolutions, – short term disruptions followed by long-term benefits, – or will this time be different?”
“The world’s a mess, times are turbulent and almost every business is facing disruption. It’s all too much! Whatever next? Sadly we don’t have a crystal ball but here’s the next best thing. We proudly bring you some of London Business School’s finest minds looking ahead to 2018 and sharing their depth of expertise. From big tech to individual consumer behaviour, from adult learning to the impact of AI, from happier employees to better leaders and a more inclusive workplace – it’s all here. You’re welcome.”
“Imagining four radically different scenarios for how companies will manage people and how people will manage their work and careers.”
“In the spirit of going fast and breaking things, The Economist has therefore trained an AI program on articles from the Science and Technology section, and invited it to come up with a piece of its own. The results, presented unedited below, show both the power and the limitations of pattern-recognition machine learning, which is more or less what AI boils down to.”