The proliferation of Artificial Intelligence (AI) in workplaces stands to change the way humans work, with job satisfaction intrinsically linked to work life. Existing research on human-AI collaboration tends to prioritize performance over the experiential aspects of work. In contrast, this paper explores the impact of AI on job decency and meaningfulness in workplaces. Through interviews in the Information Technology (IT) domain, we not only examined the current work environment, but also explored the perceived evolution of the workplace ecosystem with the introduction of an AI. Findings from the preliminary exploratory study reveal that respondents tend to visualize a workplace where humans continue to play a dominant role, even with the introduction of advanced AIs. In this prospective scenario, AI is seen as serving as a complement rather than replacing the human workforce. Furthermore, respondents believe that the introduction of AI will maintain or potentially increase overall job satisfaction.

People in Texas sounded off on AI job displacement, with half of people who spoke to Fox News convinced that the tech will rob them of work. America is at a once-in-a-generation turning point around work: 70% of us are unhappy with what we do; three-quarters of us say we plan to look for new work this year. Altogether, 100 million Americans will sit down with someone they love this year and say, "I'm not happy with what I'm doing and want to do work that makes me happy." The problem: Most of the advice we receive around work is outdated, misguided or flat wrong. I've spent the last six years crisscrossing the country collecting hundreds of stories of Americans who made enormous changes in their work lives.

Wood Mackenzie is the global leader in data, analysis and consulting across the energy, chemicals, metals, mining, power and renewables sectors. Founded in 1973, our success has always been underpinned by the simple principle of providing trusted research and advice that makes a difference to our customers. Today we have over 2,000 customers ranging from the largest global energy companies and financial institutions to governments as well as smaller market specialists. Our teams are located around the world. This enables us to stay closely connected with customers and the markets and sectors we cover.

The future of HR is both digital and human as HR leaders focus on optimizing the combination of human and automated work. This is driving a new priority for HR: one which requires leaders and teams to develop a fluency in artificial intelligence while they re-imagine HR to be more personal, human and intuitive. As we enter 2019, it's the combination of AI and human intelligence that will transform work and workers as we know it. For many companies the first pilots of artificial intelligence are in talent acquisition, as this is the area where companies see significant, measurable, and immediate results in reducing time to hire, increasing productivity for recruiters, and delivering an enhanced candidate experience that is seamless, simple, and intuitive. One company that has delivered on this is DBS Bank.

If "machine learning" sounds like the beginning of a bleak dystopian future – think The Terminator mixed with The Matrix – then "robotic process automation" must be the phase when the machines rise up to rule humankind with ruthless efficiency. Fortunately, robotic process automation (RPA) involves nothing of the sort, except perhaps for the efficiency part. There aren't really even any robots involved in this automation software. "Robotic process automation is not a physical [or] mechanical robot," says Chris Huff, chief strategy officer at Kofax. Get the free eBook: Managing IT with Automation.

ArtificiaI intelligence (AI) may soon render many jobs obsolete. Remember how popular one-hour photo shops were in the 1980s and into the mid-1990s? That's just the tip of the tech iceberg, as AI now seems to be gunning to take over the legal world. The UK-based Law Society noted in a study earlier this year: "Over the longer term, the number of jobs in the legal services sector will be increasingly affected by automation of legal services functions. This could mean that by 2038 total employment in the sector could be 20% less than it would otherwise have been, with a loss of 78,000 jobs -- equal to 67,000 full-time equivalent jobs -- compared to if productivity growth continued at its current rate."

While digital innovation and new technology is developing at a faster pace than ever before, every industry is having to adapt to new process and ways of working all the time. Some businesses are embracing this, and many have even thrived or been created because of it, but the accounting industry generally has found it a challenge. Accountancy is an age old profession, traditionally very process-driven; thus bringing technologies like robotics and automation into the mix has not only changed what clients expect from the service they pay for, but also the way accountants work and what their core responsibilities are. Automation is no longer breaking news, yet many accountancy firms still have a way to go before they are making use of all efficiencies available to them. According to the ICAEW, 25 percent of all businesses are still using paper-based records showing that, even if accounting firms are aware of technological developments, they have not yet taken action to make use of them.

Actuaries will be among those affected by new technology. But in the future, it will not be a question of machines or humans; rather, there will be a partnership between humans and technology. One day the world will be run by machines and there will be little meaningful work left for humans to do. It's a scenario that's been used by writers of fiction since the start of the 19th century, but reality has not played out that way. Fast forward to the year 2018 and many of us are arguably working more hours and longer weeks than has been the case during the last several decades.

From The Terminator to Ex Machina, Hollywood has a long history of portraying robots and Artificial Intelligence as an evil cohort with little regard for human life. But what is more alarming than a robot trying to eliminate the human race? How about one trying to take your job? In many places, the future of work is visually represented by robots, and we're bombarded by headlines claiming it's only a matter of time before robots take away our livelihoods. Can you imagine robots as your new office workers?

In the mad rush to master technology and push their products forward, huge tech companies have been hiring many of the most qualified engineers to work in the cutting-edge field of machine learning. This may sound discouraging to aspiring machine learning engineers, but hope is not lost; it is still possible to do great work as a machine learning engineer and avoiding the tech giants grants you a little more freedom than you might think. Here are tips for doing great work and finding purpose as a machine learning engineer. Knowledge Isn't Always Happiness: A Doctorate is Not Necessary While achieving a PhD is a fantastic feat of willpower and knowledge, getting one is not necessary for becoming a great machine learning engineer. The truth is that many doctoral research projects in machine learning focus on improving algorithms, which is great in the long run but not always practical in a business setting.