The'America's Got Talent' judge tells Fox News Digital why he doesn't like artificial intelligence technology in songwriting. Simon Cowell wants to see artists protected against AI. The "America's Got Talent" judge wrote commentary in The Daily Mail this week criticizing potential changes to U.K. law that would allow companies to use any online material to train AI models unless they explicitly opt out. Cowell warned that the livelihood of artists was at risk of "being wiped out." "The thought that anyone would believe they have the right to blindly give this country's creative ideas away – for nothing – is just wrong," he said.

The number of voice actors in a rabid panic over AI in the industry is reaching a head, with social media brimming with daily posts on the topic, despite very little real world evidence of synthetic voices impacting the bottom line of working pros, or even amateurs for that matter. There's a supposition among the masses that because the technology is improving, its ascension is inevitable, and that by definition it will supplant human voice actors to a highly disruptive degree. It's easy to get caught up in the terror, but worst-case scenarios….heck, Now, there's no question that numerous companies and platforms want AI voiceover to be an Earth-shattering thing. And, inevitably, we are going to start seeing even well-known casting platforms offer AI voices against or alongside their human talent. Many voice actors are busy creating their own voice clones which they expect to make available through their websites, casting platforms, or through the platforms of the companies creating these artificial voices for them.

As we have entered into the era of artificial intelligence (AI), today's AI-based technologies are not only assisting in mass production factories but also becoming socially intelligent – they are now utilized to interact with customers in frontline services. While the heated debate on whether AI will replace human employees continues, research evidence has shown that AI does not always outperform humans, especially in contexts such as tourism and hospitality service settings where person-to-person contact and personalized experiences are essential. A famous example is the first robot hotel in Japan which ended up replacing half of its robots with human staff. Some studies found customers still prefer human service in hospitality settings due to a number of reasons, such as the perception of humans as more effective communication partners, and the low perceived interaction quality and human sensitivity of service robots. Some studies also show that humans outperform service robots when it comes to building relationships and friendships with customers.

Earlier this year, I collaborated with Jason Baldwin, global head of product management at WPP, on this project to describe five major trends in martech that would shape the decade ahead for agencies and brands. You can download our full paper, including many terrific interviews from WPP executives. I'm republishing it here as a 7-part series. This is part 6. A survey of marketers conducted in May 2020 found that 59% were concerned that AI and machine learning would limit their personal growth — up from only 14% in 2019. Will AI lead us into a dystopian future where machines

Too many business leaders still believe that AI is just another'plug and play' incremental technological investment. In reality, gaining a competitive advantage through AI requires organizational transformation of the kind exemplified by companies leading in this era: Google, Haier, Apple, Zappos, and Siemens. These companies don't just have better technology -- they have transformed the way they do business so that human resources can be augmented with machine powers. To find out, we conducted a multistage study over five years, beginning with a survey of senior managers and executives, followed by interviews and surveys across a wide range of industries to identify technology implementation strategies and barriers, and in-depth studies of five leading organizations. Our key takeaway is counterintuitive.

"Graduates at IBM are coming into roles where you provide services to a range of different industries as opposed to just working in one," she says. "From a career perspective, they can move across different industries but they also move across different functions. You retain your core expertise but you also get to do different jobs because of the diversity of our clients." IBM works with dozens of Australia's biggest companies using Watson to drive machine learning and data analysis within business, and has the advantage of being able to supply whole teams of experts as challenges arise. In contrast, even big industry employers often have only a few specialists in key areas.

In October 31 Chinese teenagers reported to the Beijing Institute of Technology, one of the country's premier military research establishments. Selected from more than 5000 applicants, Chinese authorities hope they will design a new generation of artificial intelligence weapons systems that could range from microscopic robots to computer worms, submarines, drones and tanks. The program is a potent reminder of what could be the defining arms race of the century, as greater computing power and self-learning programs create new avenues for war and statecraft. It is an area in which technology may now be outstripping strategic, ethical and policy thinking – but also where the battle for raw human talent may be just as important as getting the computer hardware, software and programming right. Consultancy PwC estimates that by 2030 artificial intelligence products and systems will contribute up to $15.7 trillion to the global economy, with China and the United States likely the two leading nations.

Predictions of the Robocalypse are everywhere. "Robots Are Winning the Race for Jobs," headlines The New York Times, which linked workplace automation to the rise of despotic rulers around the world. Elon Musk warns "Robots will do everything better than us." On one hand, 72 percent of Americans are worried about an automated future (Pew). On the other hand, 94 percent of American workers don't think a robot will take their job (NPR).

Automation could be so much more than just a buzzword if we let it be. The practice of automation sits at the heart of countless exciting technologies, giving space for risk-taking and innovation. Unfortunately, rather than deploy AI in meaningful ways, companies have co-opted the automation AI makes possible to power cost-cutting efforts. Sadly, this has nothing to do with the technology. By relegating automation to exclusively target cost-cutting strategies, we strip it of its real power.

Artificial intelligence is often considered one of the top disruptors of our generation. It's forcing companies to apply a business strategy that combines intelligent technologies with operating models and human talent to reach customers in new ways. We're already seeing these advances play out. According to the Accenture Technology Vision 2018 survey, 84 percent of business and IT executives agree that through technology, companies are weaving themselves seamlessly into the fabric of our everyday lives. Let's examine the impact that AI is having on one sector in particular – communications and media companies.