Darwin's theory of survival doesn't just hold true for the survival of humans or any species, in particular, rather, the "survival for the fittest" theory is more accurate and reflective in the case of businesses enterprises and other economic activities. This is exactly why we see more and more businesses adopting AI and assisted technologies. In this swift, technologically evolving world, businesses must comply with the changes and adapt accordingly. Which brings us to the context for today, and that is how companies need to use the best, latest, and most relevant technologies to keep pace in the competitive world. 

AI has been a tremendous driver of growth across various industries. With several initial hiccups around its acceptance and inhibitions around its worth and role, AI has evolved as an undeniable force. There was a lot of noise around AI being the job-stealing technology; however, with time, this commotion got subsided seeing the breakthroughs the technology brought. 

As per World Economic Forum, "AI has cut positions, broken the bottleneck of human efficiency, reduced standardized and repetitive work, changed the nature of work, and enhanced work efficiency. At the same time, it has created new jobs.

To be more specific, AI technology will change the business world in three aspects: automation, intelligence, and creation."

The need of the hour is smart work, supporting the existing workforce by re-skilling and up-skilling them. It is now believed by most industry experts that AI will restructure jobs. Today jobs will be more engaging than the repetitive, tedious tasks as those will be cared for by AI/ML.

AI, robotics, and smart automation technology will bring greater economic benefits. And this could contribute up to $15 trillion to global GDP by 2030, stated by PWC in their research.

All being said, let's understand how AI is now settling in various domains and reshaping the whole scenario around jobs and workforce planning. 

• Finance: Artificial Intelligence is set to bring new opportunities and challenges in the financial job market. AI will increase automation in the financial domain, and make things faster in terms of decision making, becoming more effective and efficient. This gives way to new business models. According to Glassdoor data, "some of the most common job openings in AI and finance are for machine learning engineers and data engineers, among other highly specialized software engineering roles." If trends were to be analyzed on LinkedIn, one could quickly see how FinTech start-ups and conventional financial institutions are looking for more candidates who specialize in artificial intelligence, machine learning. Data science consultants, researchers, security analysts are highly emerging jobs in the AI landscape. More jobs that have been created owing to the finance and AI partnership include data scientists, chief trust officers, experience designers, AI backend engineers, and more. 
• Education: Education is evolving drastically owing to technological breakthroughs coupled with increased demand from people in almost every age group. With AI and assisted technologies, kids who want to learn new things and older people wanting to retrain themselves or acquire new skills would be highly benefitted and that in both online and offline modes. These models will create strong demand for new jobs, including curriculum designers, teachers, computer operators, data analysts, teachers, mentors, and IT specialists. Real-time analysis of performance progress and cause of action is going to create many new job roles apart from just the conventional teaching and administrative roles.
• Manufacturing:The biggest blessing that AI has bestowed on us is that now we humans can actually perform more complex and hence rewarding jobs than just focussing on repetitive, tiresome jobs. This is true that this would lead to a paradigm shift where the same old jobs will be automated and, at the same time, replaced with more productive and safer tasks. Why we say safer here is that the manufacturing sector had always been vulnerable to accidents and safety issues owing to the old ways of working, which needed extensive labor and manual effort to be able to run the show. Undoubtedly a lot of training will go in for retraining and maintaining the existing workforce for better roles in the same workspace. 
• Healthcare: "By 2020, AI will result in 1.8 million job losses, but will also be responsible for opening up 2.3 million new positions related to analytics, management, or augmented decision-making. The healthcare industry is expected to be one of the biggest beneficiaries of the job-creation curve" says Gartner. The amalgamation of human clinical decision-making and machine-driven insights is the key to better healthcare. The confusion and interchangeable usage of AI and Automation have created enough chaos around; however, this AI augmentation will ensure data security, fraud detection, and will analyze huge amounts of imaging data or documentation for improved results. Though currently, the adoption rates are slow but non-routine tasks will also soon include an AI component.The bottom line is that we must let the medical experts perform their work as-is with machines performing precision and routine jobs, which will improve the overall efficiency and benefit all the stakeholders. According to Accenture analysis, when combined, key clinical health AI applications can potentially create $150 billion in annual savings for the US healthcare economy by 2026.
• Hospitality: Hospitality industry, to a large extent, works on the term "Customer Experience." Saying that we know that people in the service sector feel that AI might curb their chances of progress and a stable career. But with AI-enabled technologies coming in the picture, there is a win-win situation for all. We all love the experience of a custom made pasta, a chef's hand-tossed salad, or the wonderful piano tune right during your dinner. These experiences define the magic that is irreplaceable, and hence AI and automation won't cut the jobs that we fear it would. Rather this tech-enabled labour reshuffling would save time and provide more engagement and enrichment through increased attention on softer aspects than tedious hardcore tasks. The effects might not be immediately quantifiable, but as a matter of fact, any customer would rather love to have a human as the face of the service than a robot. More jobs around re-skilling, service upgradation, data analysis, and analytics will be created for the likelihood of the fact that these algorithms need to be trained by humans and their cognitive skills in the hospitality industry. To stay afloat and succeed in this highly competitive industry, not taking the help of Ai is out of the question. If your competitors have already adopted the latest technology, it's time to act swift and engage with the AI-assisted working.
• Agriculture: Climate change, food security, population growth, and sustainability have fuelled the need of the industry for innovative approaches, and hence AI is highly welcomed. However, inhibitions around job losses in agriculture owing to AI involvement are still doing the rounds. We discussed earlier too, that AI in agriculture has come beyond the stages of mere discussions it the execution time now. We have to re-skill our workforce in agriculture at all levels to be able to sustainably feed the world. All the stakeholders need to be trained around crop and soil monitoring, handling robots, comprehending results of predictive analysis, and more. 

 This leads us to believe that we are destined to witness the next industrial revolution, which will improve our lives, created more jobs, upskill people, increase wages, and improve overall efficiency. It is the need of the hour that organizations and governments create an environment of lifelong learning and be more accommodating to facilitate workforce transformation. This data-driven landscape will create opportunities for businesses with endless professional growth to improve every stakeholder's life in all relevant ways.