It’s said that, in 15 years, AI will take 40% of jobs. In fact, there’s even an entire website dedicated to whether robots will take your role. Naturally, a lot of humans are pretty pissed about it, which is to be expected really – but with some forward thinking, Artificial Intelligence (AI) could actually help millions of people do their jobs in even better ways than ever before.
For a bunch who rely on machines for most of our daily lives, the resistance towards AI feels counterproductive. Need some convincing? Here’s why human and machine collaboration should start now…
So we may as well embrace it. Yep, it’s said that by 2030, 70% of companies will have adopted at least one type of AI technology, which is up 33% from today. In the past, people would’ve rebelled against the car, mobile phones and the internet – and yet, they still happened and we adapted (read: probably couldn’t last a week without either of them).
In a report by WorkMarket, 53% of employees said that automation could help them save up to 2 work hours a day (240 hours per year) and 78% of business leaders reckon automation could save up to 3 hours a day. Team this with a great PA, who could help to save an additional 2-3 hours per day, you’re saving heaps of time and money before you’ve even had your morning coffee.
But what can AI do? Well, for example, instead of manual reporting, AI and machine learning can gather all the sales stats over the last month and create automatic reports for your team to review. The result? Us human types get to stick to the parts of our jobs that only we can do, we’ll have more time to do the things we enjoy in our role and all-in-all, have a less stressful working week.
Okay, so we all know that robots are coming for our jobs – we get it. BUT it’s actually believed that AI could create millions more jobs than it will destroy. In fact, a January 2018 Accenture report titled “Reworking the Revolution” estimates that new ways of using AI, combined with human collaboration could boost employment worldwide as much as 10 percent by 2020.
“Consider the ATM. If you had to point to a technology that looked as though it would replace people, the ATM might look like a good bet; it is, after all, an automated teller machine. And yet, there are more tellers now than when ATMs were widely released. How can this be? Simple: ATMs lowered the cost of opening bank branches, and banks responded by opening more, which required hiring more tellers.” – Byron Reese, SingularityHub
Already, we’re starting to see job titles that have been created because of AI – like an AI Personality Writer or in fields like AI Training, which are only going to grow with the age of machine learning.
If there’s one thing all businesses can agree on – it’s that recruitment can be time consuming. However, with new developments in AI and automation, that time can be cut down. Now, we’re not quite sold on the AI-powered robot head that can take your next interviews, but we are sold on using technology for candidate testing and relationship management – which is why we use machine learning in our unique MINDx testing platform, developed by experts in the gaming industry (trust us, there’s more in common between recruitment and gaming than you might think)
It’s said that AI could contribute up to $15.7 trillion to the global economy by 2030 – $15.7 trillion. For us humans, a strong economy means more public money), more public services and overall, a better lifestyle for everyone (or at least, that’s what should happen).
From a business perspective, the same “Reworking the Revolution” study mentioned above, reported that investment in AI and human-machine collaboration could boost revenues by 38% by 2022, if businesses become early adopters now. For business owners and those working in businesses, more revenue equals better growth, wage rises, company perks, career opportunities, talent retention and all the good stuff you want from running, or working for a business.
According to willrobotstakemyjob.com, there’s a 96% chance that Personal Assistants will become replaced by AI in the future – which could be pretty problematic for a PA and support staff talent company…if it was true. Sure, a machine might be able to automatically organise inboxes, but they don’t have the ability to show empathy, or see if their boss is stressed and move things around, or offer comfort in light of that. A machine can’t make a client feel welcome when they come in for a meeting – a good, human PA has that nailed.
Yes, there are certain elements of every job that AI will knock out of the park, way beyond the capabilities of us humans, but at the same time, there are skills that even the smartest of machines could never learn. In an interview with Jack Ma, Founder of Alibaba, he spoke about how we should be teaching our children more soft skills – instead of teaching skills that will force them to compete with machines (clue – the machines win). These soft skills are what sets us apart and are the best asset we can bring to the table in human-machine collaboration.
“Machine learning and AI…will empower and improve every business, every government organisation, even philanthropy – basically, there’s no institution in the world that cannot be improved with machine learning” – Jeff Bezos, CEO of Amazon
Right now, we’re on the cusp of what could be the most important development to modern humanity. We have the influence, because machine learning is built to solve our challenges. It should be built to integrate into how humans work, not the other way around, and that relies on a wave of understanding across the board – in different professions and from different perspectives outside the Silicon Valley area code. If we just have a bunch of tech bros influencing all AI, well – we’ll just have a world of human and virtual tech bros. There’s no doubt about it, machine learning will have a massive impact on everyone – maybe even bigger than the internet, the car and mobile phones combined. Now is the time to wave our white flag, become best friends and build a future where humans and machines work in collaboration. Starting now.