The 4 Biggest Barriers To AI Adoption Every Business Needs To TackleAdobe Stock
My work brings me into contact with organizations at every stage of their digital transformation online courses and AI adoption process. This gives me insights not only into what is working but why barriers or challenges are discouraging adoption. Here’s a rundown of some of the most frequently encountered blockers – as well as ideas being put in place to overcome them.
Put simply; this is all about resistance to change. Human beings, it is often noted, tend to be creatures of habit; once we find a method of carrying out a task that seems to get the job done effectively and efficiently, we like to stick with it. It often takes some persuasion before we will see that the disruption and expense that will inevitably be caused by altering procedures or adopting new processes will be worth the overall gains they will bring.
This could be as simple as a disinclination towards what can be seen as “handing over control” – whether that’s directly to machines, or to the human employees who administer the technological infrastructure that makes AI possible.
Often this translates into simply not seeing the need for AI, and an incomplete understanding of the advantages it can offer. And in my experience education is usually the most effective means of overcoming this particular barrier. I spend a lot of my time working with boards and senior leaders to instill an awareness of how the core AI technologies – from natural language processing to computer vision and predictive maintenance – can create efficiencies and reduce costs. Once awareness levels are raised, people are likely to become receptive and engaged with the potential for positive change AI offer.
Another completely natural and understandable human response. Fear of the unknown, as horror writer HP Lovecraft liked to point out, is the “oldest and strongest emotion of mankind.” And as visionaries including Elon Musk and Stephen Hawkin have pointed out in more recent years, there is a huge amount that is still unknown when it comes to the part AI will have to play in our future.
In an immediate sense, this fear could revolve around a growth in distance between the human workforce and the job they are paid to carry out – decisions made by computer algorithm can be difficult to predict and understand. This leads to a fear that humans are losing control and may possibly no longer be regarded as the “experts” in their field of work.
The middle-term fear is of increasing human redundancy – if machines can carry out the work more efficiently and effectively, where’s the need for humans? Futurologists have predicted that this could go two ways – either leading to a utopian existence where robots fill all our basic needs and humans are free to pursue leisure, intellectual and artistic endeavors, or towards mass unemployment and social unrest.
I believe that instead there is an attractive middle ground (as there is so often), where the solution is to roll out intelligent tech to augment our work and make it better for humans, rather than replace them.
Shortage of talent
This is a real and pressing problem for most businesses wanting to adopt AI as well as move to other data-driven models of digital transformation online courses. Experts predict that when it comes to capitalizing on the enormous potential for growth offered by AI, a bottleneck exists due to the shortage of data and technology professionals with the experience and training needed to implement the required infrastructure and organizational change.
Although AI research has been ongoing for decades, it’s only relatively recently that these skills have been in demand by industry. And the massive growth in demand means that those with the abilities are able to ask for very high salaries and prestigious positions within the organizations that employ them. On top of this, those companies that already understand and heavily invest in AI – the Googles, Facebooks, and Baidu’s of the world – are often seen as offering the prime opportunities by those who do have the skillset, meaning other businesses face an uphill battle competing to attract talent.
However, this is likely to be a challenge that will be overcome, eventually, by the old-school economic…