AI The Future of Work & Digital Transformation
Secondly, and more importantly, AI technology will become pervasive. AI aims to transform business processes drastically, and its effects will be magnified in the next decade when retail, finance, law, healthcare and other professional sectors inevitably convert their technological frameworks from core processors to machine learning.
We can,
however, get an idea of what future AI functions will replace. For example,
Amazon is leading the way in AI development with the creation of a cashier-free
supermarket in Seattle which begs the question: What will this mean for the
3.4million cashiers in the US?
Following
every technological shift, new jobs will be created to replace those lost.
Unfortunately, it is not known what these new roles are because AI is
constantly being improved. So how do we, as humans, keep up to intelligent
machines?
Luckily, this is something most current professionals won’t have to worry about because even though it is being developed at an exponential rate, Oxford University has estimated that it will take another 120 years before AI begins to automate the vast majority of human jobs. This is reinforced by the Deloitte’s 2017 study Artificial Intelligence for the Real World with only 22% of 250 executives surveyed arguing that AI will reduce head count.
Although, they have expressed that AI will undoubtedly enhance the features, functions, and performances of their products, AI will also help employees by optimising internal business allowing professionals to work on more creative tasks.
The Challenges of AI
The public has certainly overestimated the development of these machines and the lack of experts in the field is a major obstacle. There are just over 300,000 AI engineers worldwide, but according to market demand, there are millions of roles waiting to be filled. However, attendance in AI and machine learning courses has skyrocketed in recent years, with the US, China, Japan and UK leading the way. Despite this, in the short-term AI integration remains extremely costly because expert in-house talent must be recruited to integrate long term AI projects.
Future of Work
As advanced technologies pervade workplaces, skills such as problem solving and creativity are more important than ever. Leading companies have also recognised that AI technology is here to work alongside humans, not to replace them.
How we work in the future will be more team-based, more collaborative and involve more real-time communication, workplaces will be revolutionised, and not everyone is going to be comfortable at first. Creating a supportive environment is crucial to adoption.
