Most passenger vehicles today incorporate driver assistance technology, which relies on artificial intelligence (AI) to detect if a driver is sleepy or fatigued by monitoring their eyes. AI systems also learn a driver's behavioral pattern, including preferred temperature settings, songs, and destinations, to make the commuting experience convenient and comfortable. Almost all major automotive companies are working with software providers to create an ideal interior atmosphere for the driver, leading to an engaging and individualized user experience. It is little wonder, then, that the automotive artificial intelligence market is expected to grow at a CAGR of 24.1 percent between 2022 and 2027. MarketsandMarkets values the automotive artificial intelligence market at USD 2.3 billion in 2022, and projects it to reach USD 7.0 billion by 2027, based on the growing adoption of ADAS technology by OEMs and the rising demand for enhanced user experience and convenience features.

This season of Better Life Lab, we've been taking a close look at work stress and the future of work and wellbeing. Parts of the American economy are looking tough for many workers--even "dystopian." People are quitting their jobs at record rates. We know what many of the problems are, yet the fixes are not so simple. So on this closing episode of our fourth season, we ask: Are bad jobs an inherent part of the workplace -- or can we actually do what it takes to make the jobs of the future good jobs, big enough to support real human life for all of us? Warren Valdmanis, private equity investor and partner with Two Sigma Impact, who will only invest in companies that provide good jobs.

The increasingly digital economy requires boards and executives to have a solid understanding of the rapidly changing digital landscape. Naturally, artificial intelligence (AI) is an important stakeholder. Those organisations that want to prepare for an automated future should have a thorough understanding of AI. However, AI is an umbrella term that covers multiple disciplines, each affecting the business in a slightly different way. Artificial intelligence consists of the seamless integration of robotics, cognitive systems and machine learning.

The robots are taking over. It seems like a common refrain these days as more and more Artificial Intelligence (AI) and machine learning operations are incorporated into everyday work processes and activities. Many people fear the loss of their jobs to AI and the impact of new technologies on their future career growth. While there's no doubt that AI and machine learning are disrupting the way we live and work, the reality is that AI will create more jobs and opportunities than it destroys. From transforming businesses and boosting productivity to addressing "moonshot" societal challenges, there are many positive applications of AI.

It's no secret that artificial intelligence (AI) and automation are innovating ways business is done. This is seen in every industry across the board. AI and automation make several contributions to productivity, reshaping how businesses see the core of their business in relationship to growth. And AI and automation are not going anywhere anytime soon. In fact, there are coming workforce changes as more businesses shift from traditional means to innovative technology.

Science fiction has long imagined a future in which humans constantly interact with robots and intelligent machines. This future is already happening in warehouses and manufacturing businesses. Other workers use virtual or augmented reality as part of their employment training, to assist them in performing their job or to interact with clients. And lots of workers are under automated surveillance from their employers. All that automation yields data that can be used to analyze workers' performance.

With an artificial intelligence revolution overtaking the workforce, it's clear that how work is done is going to change. That brings with it worry, especially for employees concerned about job security. But with the right skills, AI and automation don't have to represent a loss. In fact, the coming rush of automation represents opportunity for many. Katherine LaVelle, managing director of talent and organization for Accenture, said, "The majority of CEOs that we talked to said there will be an increase in jobs as a result of AI."

For nearly 50 years, FedEx's local package delivery method has largely gone unchanged, but it may soon evolve. The multinational corporation is currently working with the city of Manchester to begin testing a new last-mile delivery method. It involves a highly automated robot, resembling a mini fridge on wheels, that will transport products from local hubs to their final destinations. Thanks to state-of-the-art cameras and sensors, the FedEx Sameday Bot can efficiently cover the last leg of deliveries without a human operator. And because it can travel on sidewalks, this technology could increase shipping speed while reducing roadway congestion – greatly benefiting New Hampshirites.

The increasingly digital economy requires boards and executives to have a solid understanding of the rapidly changing digital landscape. Naturally, artificial intelligence (AI) is an important stakeholder. Those organisations that want to prepare for an automated future should have a thorough understanding of AI. However, AI is an umbrella term that covers multiple disciplines, each affecting the business in a slightly different way. Artificial intelligence consists of the seamless integration of robotics, cognitive systems and machine learning.

We don't know how quickly machines will displace people's jobs, or how many they'll take, but we know it's happening -- not just to factory workers but also to money managers, dermatologists and retail workers. The logical response seems to be to educate people differently, so they're prepared to work alongside the robots or do the jobs that machines can't. But how to do that, and whether training can outpace automation, are open questions. Pew Research Center and Elon University surveyed 1,408 people who work in technology and education to find out if they think new schooling will emerge in the next decade to successfully train workers for the future. Two-thirds said yes; the rest said no.