It is an undeniable fact that no other technology has had the same impact on the global space in the last two decades as AI. From the advancement in data science and machine learning to the new heights of neuroscience and cloud computing, AI has the power to rule them all.
Especially with the current progression of generative AI that has the ability to provide unique answers, text, images, music, and all sorts of collateral for any out-of-the-box query. Powered by multiple large AI-model and fast fiber internet, generative AI requires minimal training and self-learns via machine learning algorithms to generate new and unique content based on human patterns.
So, with such disruptive technology on the rise. The question arises that how most industries can escape from the impact of such an all-encompassing entity. An entity that has a bigger knowledge base than the next 100 scientists combined and can compute and produce answers not through years of meticulous research but in a matter of seconds.
Why are companies moving towards AI?
Besides many technical reasons, the three core things that AI provides your business is:
- Agility
- Responsiveness and,
- Structure.
If we holistically analyze what the market or consumer needs from a business besides their hero product or service is exactly these three things.
Let’s assess the example of a global logistics provider whose primary job is removing current logistics backlogs and predicting future issues to explore potential solutions. Now, such a company, before AI, largely relied on numbers, negotiations, and assumptions but with the discovery of predictive analytics and modeling powered by the continuing development in statistical modeling, data science, big data, data mining, and machine learning the whole scenario changed. However, this progress was colossal in scale but nonetheless required human input to generate a viable output.
Now imagine an entity that not only understands all these models, techniques, strategies, and technologies but can also control and change these at will to find the best possible solution to any problem. In such a case, the whole process becomes seamlessly integrated and automated. The name of that entity is AI and this is exactly the future of largescale supply chain management in the future.
The Fear of the Skilled Professional
Wait, the road doesn’t end here as such a powerful and immovable force has a compound effect on everything it touches. This is exactly what we see today, the continuous development and integration of AI into business to cut costs, improve operations, or any other reason are making skilled professionals nervy as ever, and rightly so.
The investment that goes into building your skills to reach a lucrative position in any profession is simply unimaginable. It is an arduous climb achieved through years of struggle and hardships. For instance, you start with the high school grind then move to the college highway most likely powered by a student loan, and finally end up in an internship or professional job with great prospects after years and years of hard work.
Now, imagine an AI that is much smarter than the next 10 of you combined and can do your job a million times better, then you improve your prospects of keeping or getting a new job. It is as simple as it gets, why would a company in their right mind hire you? As AI can do everything that you do and better with unquestionable and meticulous accuracy.
Prospects & Solutions
The answer is the human mind doesn’t follow a clear set of rules or patterns to make decisions. It is a unique emotional structure comprised of millions of complex neural connections and pathways with each mind unique in its own way. A myriad of complex tunnels, reliably generating and pushing the limits of human creativity, subjectivity, influence, and emotional intelligence.
So, if we just relax for a second. Take a deep breath and reevaluate the primary purpose for the creation of AI. We will realize that it is simply a tool that was created to complement and augment human intelligence and ability, not compete with it.
So, the goal here for businesses should be continuous experimentation with AI to improve their processes and strategies but with the value-addition of training their workforce in AI to improve their productivity and efficiency. Similarly, the goal of a skilled professional here should be to adapt AI in his everyday research, execution, and self-evaluation to improve his overall output and the quality of his deliverables.
Wrapping Up,
The success of all businesses more or less is dependent on the continual integration of AI to improve their processes and operations, and similarly, the professional success of skilled labor is largely dependent on their quest to assimilate AI into their latest work manual.