Debunking AI Myths and the Reality of How AI Will Evolve the Marketplace

Unless you’ve lived under a rock for the past several years, I’m sure you have witnessed the buzz around “AI” and the c***** that thanks to Artificial Intelligence, unemployment rates will skyrocket because robots will take over our jobs. Sounds a bit apocalyptic– and that’s because it’s not true. Artificial Intelligence is a computer science simulation of the human mind that is able to process reason, discover meaning, and use experiences to learn and refine its logic.

While the field of AI has been around for decades, true human-like intelligence has yet to be achieved. I’m sure you’ve already started interacting with AI in some way shape or form – may be using a Voice Assistant or simply by picking a film curated by Netflix’s recommendation algorithm.  The noise around Artificial Intelligence, robots, and technology has bred a long list of myths and misconceptions, especially on its impact on humans and the future of the workplace.

Here’s a list of the top myths about AI and a breakdown of everything you need to know.

Myth #1: Artificial Intelligence Thinks Just Like a Human

Contrary to popular belief, although AI is highly equipped to process complex data and complete tasks efficiently, it still lacks cognitive thought and needs to follow the logic and datasets human have created for it. We also haven’t cracked the code on how AI can match the human ability to think critically and adapt to changing scenarios while processing abstract concepts such as sarcasm, sadness, and joy. Although AI has come a long way since the field was founded in the 50s, it is still very much reliant on humans building its framework.

Read More: Strong AI Doesn’t Make Humans Less Special

Myth #2: AI Is Too Difficult to Adopt

Accenture reports that if companies across all industries were to invest in AI at the same level as top-performing companies, they could boost revenue levels by 38 percent. Which leads us to conclude that although Artificial Intelligence is thought to be a powerful tool, it’s still intimidating to implement. While it may not be widely adopted by all businesses now, we predict that it will be. We already see Google, for example, use AI to detect when its data centers heat up and automate a cooling system when needed, saving them thousands in high energy costs. Amazon also leverages AI with predictive forecasting to help them make strategic fulfillment decisions. At the minimum, all organizations will consider if their business challenges can be solved by AI and what a strategy could look like for their team.

Read More: How Automating Metadata Management Can Transform Data Governance

Myth #3 AI Will Negatively Impact Employment Rates

While it is true that certain industries like manufacturing will be hit harder than others with the adoption of AI, Gartner c***** that more jobs will arise from AI than those displaced. According to the report, by 2020, AI will remove 1.8 million jobs in the U.S. but to our advantage will create 2.3 million new ones. Further good news, the unemployment rate in the U.S. today is at the lowest it’s been in nearly five decades – despite the increased adoption of AI. These changes will not only affect the internal workforce but self-employed workers too. Similarly, Deloitte reports that by 2020, alternative workers across various industries will rise to 42 million.

Read More: Robotics Process Automation: The Future of Jobs, Not Job Losses

Myth #4: AI Isn’t Effective With Human Collaboration

The best AI strategy a company can implement is one that uses an augmented workforce, combining Artificial and Human Intelligence. Gartner backs this theory up, claiming that AI augmentation will generate $2.9 trillion in business value and recover $6.2 billion hours of work productivity back. It is widely agreed that AI will help humans complete their routine work, free up their time, and restructure their job demands. Deloitte calls this workforce transformation, “super-jobs.” Super-job employees will work closely with AI to make technical and interpretive, problem-solving decisions to optimize the process. These new types of jobs will require investments in reskilling employees and ongoing support as they emerge. Luckily, there are emerging AI collaboration tools that can help make this seamless, such as AI-enabled workforce solutions that allow teams to offset scalable tasks with external talent and put time back in their schedules to focus on other initiatives.

A Revolution

In the 3^rd Industrial Revolution, we saw the rise of IT shape the workforce significantly and as we enter the 4^th, AI will disrupt the way we work again. Just like every industrial change, there will be sentiments of fear and doubt before it becomes widely adopted. Yes, Artificial Intelligence will play a big role in the future of work and it will be disruptive, but it is completely within our control to use it to our advantage and enable humans to focus on thoughtful work and leave routine tasks in the past.

Combining Artificial Intelligence with Human Intelligence creates the superhero we’ve been waiting for. It will be those fearless leaders who t********** now that will blaze the trail for other companies to follow.

Read More: Snag Enters Third Decade with New CEO Focused on Data, AI and Revolutionizing Hourly Work