AI and Automation: Learn fast or perish!

AI and automation are changing the landscape of work faster than we can imagine. We are constantly reading about how AI and Automation will eat away several types of jobs. What makes the fears more tangible, are the numbers predicted by the most trusted agencies in the world. Goldman Sachs said that 300 million jobs will either be lost or degraded by AI. PwC estimates that by the mid-2030s, up to 30% of jobs could be automatable. Well, these numbers are scary, and machines taking over humans seems like a more believable reality now. Roles ranging from Customer Service Representatives, Accountants, Designers, Bookkeepers, market researchers, programmers and artists are at risk of becoming automated and depend lesser and lesser on humans.

The future belongs to those who can learn quickly—or risk falling behind. AI will not necessarily steal jobs but rather function as a co-pilot for those who are already professionals in the industry. Professionals who know how to use AI will be the ones stealing jobs. No profession is 100% immune to the arrival of Artificial intelligence. Competition with the machine can be faced through knowledge of the machine. The pace of AI’s growth is non-negotiable. Individuals who fail to develop these skills are not just at a disadvantage—they risk obsolescence in their careers.

Artificial Intelligence: To ADAPT VS. To DEFEND

The challenge for professionals is not to defend against AI but to Adapt to it. The ability to learn is the most critical skill one needs to develop to keep up with this revolution. So how does one prepare its workforce for it? LEARN FAST OR PERISH becomes key for a workforce to Adapt to this fast-changing industry landscape. Individuals and organizations are currently playing catch- up with technology. Though everyone has realized that adopting AI is going to be crucial, steps to embrace this technology are slow-paced. AI can disrupt but it can also help enable and evolve. Organizations can adopt AI technology to enable workforce to perform better, whereas individuals can utilize Open AI platforms to evolve their jobs to the next level, to deliver better outcomes. Professionals will need to Train in AI as fast as AI is training itself.

Hence, assessing your learning style becomes crucial. Kognitivus believes that learning can be measured on 5 parameters – Receptivity, Retentivity, Relatability, Repeatability, and Rigor. We have created a Learning Assessment Tool that can highlight your Learner profile and identify what are the gap areas for you to work on. It is an open tool that can help professionals identify deficiencies in their learning and tackle them head-on.

One can draw parallel between human’s learning patters and how AI trains itself across these 5 R principles. AI is receptive, it receives large sets of data and stores the data to further enhance its precision, Repeatability – Iterative processing algorithms are used in AI to improve model accuracy, AI is retentive, it carefully retains and preserves all data that is used in its models, AI is rigorous and has relatability at its core to understand contexts. If people want to excel in their fields by learning and leveraging AI, they will need to hone all of the 5 above skills to learn AI faster and better. Be receptive to the evolving landscape of AI, retain the principles of AI, Relate the AI tool outcomes to do their jobs better, use AI repetitively to become better and better with every chore completed using AI, and last but not the least maintain the meticulousness to keep the learning as a continuous process just like how AI is continuously learning too.