There are 2 predominant schools of thought around the advent of AI – the positive value added approach: Humans X Process X Data = Increased Business Value
Vs The Chicken Licken thought process of “AI is stealing my job, AI is stealing my job”
Not forgetting those Ostriches amongst us who somehow believe that the advances in AI will have little to no impact on current jobs.
One way or another the landscape is changing. How well your company responds to that is very much down to how much agility is valued as a core skill set.
3 years ago Alexa was just a choice of baby name. In the coming years – naming your baby Alexa may not be so popular a choice – as Alexa is now in over 3 million homes, organising babysitters, booking holidays – and in many cases – being a “person” to chat to. Echo AI technology has improved user experiences – and is earning Amazon big bucks in the process. The Key in this is the fact that Alexa responds almost like a person. Alexa applies machine learning and algorithms to run queries through huge data sets almost instantaneously. Spotify applies the same logic – curating your very own DJ set based on previous choices.
Extrapolating that speed for business will surely guide towards better and more objective business outcomes.
Recent surveys by Accenture have highlighted the need for change in our own approaches with 85% of executives surveyed claiming to be investing in AI over the coming 5 years
So there is no doubt that the rise of AI will change the shape of the job market – especially for the lower skilled workforce. In order to safeguard against rising labor costs – automation becomes critical. Yet higher up the salary scale there are predictions of significant human skills shortages in the very area of robotics that is driving the change agenda. So it would seem that the key to AI success is not how to remove humans from the chain altogether, but how to embed them more effectively to participate in human-critical automation of the business, and in the search for novel business methods and models.
Perhaps the most urgent question we must answer is not one of the role of AI in our 21st century workforce but rather one of integration – and whether economics is purely driven by productivity and speed alone?
Used effectively AI has the potential to alter careers to fit a far more personal model. A more agile workforce – a more diverse workforce. But this requires a collaberation with machine learning to improve the human capability
Change is difficult at the best of times – but when the future is moving faster than we can predict it becomes an increasing challenge.
Maybe we should ask Alexa what to do next?
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