Robots may be eyeing some jobs, but artificial intelligence will create new roles as well.
“When it comes to the future of work, artificial intelligence (AI) and automation are poised to impact nearly every facet of the workforce in some way,” says Dr. Andrew Chamberlain, Chief Economist at Glassdoor. “These technologies are being used for popular services like customer service chatbots at Bank of America, easy-to-search images on Facebook, and even automated fashion suggestions for apparel shoppers on Amazon.”
A simple way to think about it is that AI is being used today to automate things we do at work, to perform tasks automatically that were previously done by a person.
And while there is no easy way, at this point, to define what counts as an AI job because it’s is so new, Glassdoor’s latest research defines open AI roles as “any role on Glassdoor that contains one of the following phrases in the job title: artificial intelligence, AI, or deep learning.”
Think: AI Software Engineer, AI Research Scientist, AI Product Manager and AI Technical Sales. But also think beyond the strong technical roles. We also found many surprising, albeit less common, AI roles that highlight the diversity of jobs being created by today’s booming AI industry.
These roles prove that AI is giving rise to unexpected new roles and professions in non-tech sectors, and beyond the borders of Silicon Valley, Seattle and burgeoning hubs like Austin, New York and Chicago. Metros including Boston, Raleigh, Charlotte, San Diego and Washington DC are hiring talent in the AI fields. Of the 1.8 million jobs AI will get rid of, the emerging field will create 2.3 million by 2020, according to a recent report from Gartner.
Companies ranging from Amazon to IBM to Uber and Accenture are currently hiring and have open AI roles on Glassdoor. Accenture’s strategy consulting arm is actively involved in helping companies plan and deploy AI through their operations. Wells Fargo is like many financial firms is using AI to streamline manual transactions and improve customer service.
So, let’s get down to brass tacks. How do you get a job in AI?
Outside of having a strong skill set and education, there are a few ways to make yourself a strong candidate for AI roles, that are both cutting-edge and lucrative. Before applying to your dream role, consider the following:
1. Take online courses to up your game.
From Udacity to Coursera to online courses from MIT, Stanford and UC Berkeley, there’s no excuse not to enroll in a class to enhance your skills. Learn not only about machine learning and the basics of modern AI, but really explore the numerous applications and huge possibilities in the filed of AI.
IBM’s VP of HR Obed Louissaint was asked about what it takes to succeed in AI, and he was very clear, sharing one trait, followed by a close second: Curiosity and passion. “We are at the cusp of something that is going to be with us for the next several decades. It requires a curiosity of thinking about how technology is going to really augment human intelligence and help solve the world’s toughest problems through machine learning. Passion is also very important.”
2. Start networking.
If you’re eyeing an AI career, mark your calendar with these AI conferences:
- O’Reilly Artificial Intelligence Conference
- MLConf Atlanta
- ODSC Europe
Networking and attending AI related events will not only help you make invaluable connections, but you will be able to learn all of the state-of-the-art innovations. Because AI is evolving so rapidly, staying on top of the latest advancements is paramount.
3. Read open job descriptions.
“Go directly to the position’s main duties and line them up with the company’s mission statement. Are you able to see how the everyday tasks lineup with the overall progress of the company and customers,” says career expert Heather Human. “It isn’t just your position that affects your passion for a career—it’s the company as a whole. Look to the website for the organization’s values and compare them to the impact you hope to have on customers—or even the world.”
4. Never stop learning.
“The smartest people want to gravitate towards the world’s toughest problems,” says Louissaint. “If you’ve got that curiosity and passion to address the world’s toughest problems and you’re not going to relent until you make progress, then you’re probably right for AI.”
5. Update your personal brand.
Content curation is a way to encourage interest in your brand on social media. If you are transitioning careers or shifting into AI, it’s important to show that interested on LinkedIn, Medium or Facebook. Share articles, engage with influencers, updates your professional summary and be sure to weave in or highlight the skills that a company is looking for.
“When considering skills and requirements, it’s important to be honest with yourself and the company, says Human. “Overselling your skills or ability to learn new things quickly could set you up for a stressful start — or worse, failure.”