If you're looking for a last-minute idea for a Halloween costume, Google might just have you covered. That's because the tech giant's Frightgeist search trend data has revealed the fancy dress outfits Americans have searched for most this year. Top of the list are Ken and Barbie from the Box Office smash Barbie movie, which was released to huge fan fare back in July and has grossed more than $1.4 million (£1.1 million) worldwide. There are more than 900 costumes on Frightgeist but the company Visual Capitalist has put together an infographic showing the top 27 most searched. Scary: Google's Frightgeist search trend data shows the fancy dress outfits Americans have searched for most this year.

Automation is coming to the workplace. Millions of jobs will be destroyed, but many jobs will also be simultaneously created in the process as well. For those in the workforce – or for those just joining it for the first time – the big question is: what skills are needed to navigate this monumental shift in the economy? How will humans create value in an increasingly automated world? Today's infographic comes to us from Guthrie Jensen, and it summarizes the skills needed in 2020 and beyond to take advantage of the shifting landscape of work. In short, for those looking to future proof their careers, building competencies in areas that machines will be unlikely to tackle effectively (i.e.

The Chart of the Week is a weekly Visual Capitalist feature on Fridays. Are you ready to hand your job over to R2D2? A recent study by the Mckinsey Global Institute forecasts up to 800 million workers worldwide could lose their jobs to automation by 2030. Industrial machine operators, administrators, and service workers will be the first to take a hit. Meanwhile, poorer countries with lower investment in tech are less likely to feel the pinch. Today's chart uses data from the Future of Jobs Report 2018 by the World Economic Forum to take a peek at the changes technology will bring over the next four years.

Robots, meanwhile, can be "dumb" and just automate simple physical processes.

The Chart of the Week is a weekly Visual Capitalist feature on Fridays. Are you ready to hand your job over to R2D2? A recent study by the Mckinsey Global Institute forecasts up to 800 million workers worldwide could lose their jobs to automation by 2030. Industrial machine operators, administrators, and service workers will be the first to take a hit. Meanwhile, poorer countries with lower investment in tech are less likely to feel the pinch. Today's chart uses data from the Future of Jobs Report 2018 by the World Economic Forum to take a peek at the changes technology will bring over the next four years.

The Chart of the Week is a weekly Visual Capitalist feature on Fridays. Artificial Intelligence is transforming the way we live, and the tech giants are racing to stay ahead of the curve. AI-related funding totaled an estimated $15.2 billion in 2017, a 144% increase over the previous year. The U.S. tech industry leads with a 50% share of those investments, even with China swiftly closing the gap in terms of patents and AI research. AI itself isn't new, but boosted computing power, increased connectivity, and the sheer volume of data has paved the way for the fourth industrial revolution of AI. "The coming era will be looked back upon as the'AI era,' when AI became the defining competitive advantage for corporations, government agencies, and investment professionals," predicts David Nadler, founder of Kensho Technologies.

Robots, meanwhile, can be "dumb" and just automate simple physical processes.

Automation is coming to the workplace. Millions of jobs will be destroyed, but many jobs will also be simultaneously created in the process as well. For those in the workforce – or for those just joining it for the first time – the big question is: what skills are needed to navigate this monumental shift in the economy? How will humans create value in an increasingly automated world? Today's infographic comes to us from Guthrie Jensen, and it summarizes the skills needed in 2020 and beyond to take advantage of the shifting landscape of work. In short, for those looking to future proof their careers, building competencies in areas that machines will be unlikely to tackle effectively (i.e.

We take computing power for granted today. That's because computers are literally everywhere around us. And thanks to advances in technology and manufacturing, the cost of producing semiconductors is so low that we've even started turning things like toys and streetlights into computers. But how and where did this familiar new era start? Today's infographic comes to us from Computer Science Zone, and it describes the journey of how we got to today's tech-oriented consumer society.

For the people most immersed in the tech sector, it's hard to think of a more controversial topic than the ultimate impact of artificial intelligence (AI) on society. By eventually empowering machines with a level of superintelligence, there are many different possible outcomes ranging from Kurzweil's technological singularity to the more dire predictions popularized by Elon Musk. Despite this wide gap in potential outcomes, most technologists do agree on one thing: AI will have a profound impact on the society and the way we do business. Today's infographic comes from the Extraordinary Future 2017, a new conference in Vancouver, BC that focuses on emerging technologies such as AI, autonomous vehicles, fintech, and blockchain tech. In the below infographic, we look recent projections from PwC and Accenture regarding AI's economic impact, as well as the industries and countries that will be the most profoundly affected. According to PwC's most recent report on the topic, the impact of artificial intelligence (AI) will be transformative.