How AI is disrupting the job market: winning and losing jobs

AI robot

Regarding the future of work, the rise of Artificial Intelligence (AI) and its implications for our job markets are among the most frequently discussed topics. From automated conversions to robotic customer service reps, AI has been credited with creating fresh opportunities and wiping out entire career paths. But what does this technology mean for us? Who can benefit from its rapid evolution — and who will be left behind in today’s rapidly transforming jobs landscape?

In this blog post, we’ll dive into a comprehensive analysis of how AI shapes employment opportunities worldwide – assessing where current trends may leave some sectors behind while opening up exciting new openings elsewhere. You won’t want to miss this essential read on determining which fields stand to thrive amid such a profound technological shift!

The winning jobs

Chatbot developer

Illustration of a chatbot in conversation with a client

Chatbot development is a critical job in the current landscape of digital solutions. As a chatbot developer, you will be responsible for creating software that interacts with customers and understands the need of users. It involves proposing ideas and designs for chatbots, developing them using coding languages such as Javascript, Python, and PHP, and monitoring their performance by collecting customer feedback on how well it has been performing.

To become a chatbot developer, a person needs knowledge of coding languages, creativity, and people skills to understand users better. The demand for this position is predicted to grow rapidly as organizations strive to automate their customer support through automation tools. Chatbot development offers several advantages, such as cost efficiency, scalability, and prompt responses – making it an attractive option for businesses looking for efficient customer engagement solutions.

AI researcher

AI researchers are at the cutting edge of technology; their duty is to introduce research, development, and innovation within the rapidly evolving field of artificial intelligence. To become an AI researcher, one must possess a combination of technical and communication skills and have either a degree in computer science coupled with several years of experience working with data systems or a Ph.D. in machine learning, computer vision, natural language processing, knowledge representation, computational medicine and the like.

As technology continues to become more prominent in our daily lives, this line of work stands at the forefront regarding job opportunities. In addition to being highly skilled in coding and problem-solving aspects and understanding current AI technologies, an AI researcher must also be passionate about maintaining up-to-date information and knowledge on all branches of this ever-growing area. Companies are increasingly embracing artificial intelligence’s power, and the demand for experts specialized in AI-related research will soon grow even further.

NLP engineer

An NLP engineer‘s primary job involves leveraging natural language processing (NLP) and algorithms to write code that can analyze, interpret, and generate text. Their day-to-day tasks typically involve developing automated chatbot systems, speech synthesis applications, and natural language informatics services.

A good candidate for the role should have a Masters’s degree in computer science, engineering, or a related field and extensive experience working with NLP tools like TensorFlow, PyTorch, and Spacy. In addition, those interested in this position should also be interested in researching machine learning trends and staying current on the latest developments in AI technology. With rapid advancements in these areas of technology over the past few decades, positions for NLP engineers are sure to become more and more sought after – making now more than ever an ideal time to start pursuing a career in this cutting-edge field.

Data scientist

Data science is a field that requires expertise in multiple areas. To become a data scientist, one must be knowledgeable in statistics and mathematics, possess strong computer programming skills, and understand machine learning techniques. Furthermore, robust analysis and communication skills are critical for this increasingly sought-after profession.

Data scientists use their analytical savvy and knowledge to uncover valuable insights from large datasets that can inform business decisions or create new products or services. They are also responsible for deploying models into production systems, developing production code, building new data pipelines, conducting experiments, and data visualization. Additionally, data scientists may suggest better methods for collecting or organizing data and recommend approaches to improve current models or algorithms.

It’s no wonder that this job is becoming highly demanded; with the potential, it brings businesses to gain more insight into customer preferences and trends. Moreover, companies are sure to succeed by investing in such expertise.

The losing jobs (or those that will seriously change to adapt)

Customer Service Representatives

Customer service representatives are critical to the customer experience, but their job is at risk of disappearing due to the increasing use of AI-driven solutions.

The good old customer service we used to know will change a lot soon due to AI

The core duties of a customer service representative involve greeting customers and providing assistance and guidance. Their tasks require excellent problem-solving skills and empathy to help customers efficiently and effectively. However, customers’ queries are increasingly handled through online chatbots, which use AI to offer more efficient and accurate customer service experiences.

Though it may seem daunting, there is an opportunity for current customer service representatives to develop their skills so they can remain competitive when competing against AI technologies. Developing necessary technical knowledge, such as coding or computer programming classes, can keep you one step ahead in this industry. Understanding how technology interacts with customers on different platforms will give you an edge too. By staying abreast of trends in the rapidly changing world and having strong communication abilities, customer service representatives can manage the threat of automation by building up their future-proof skillset.


The role of a salesperson has evolved in numerous ways over the years – initially as an in-person representative of a company or product and now increasingly as part of an omnichannel customer experience. From prospecting potential new customers to following up with existing ones, inside sales follow up on leads and help grow the customer base. In contrast, outside sales can attend trade shows and other significant events and be crucial to closing deals.

However, Artificial Intelligence (AI) is beginning to make its mark across many facets of this field. AI solutions offer predictive analytics that can target and reach more customers faster than a salesperson can with their limited knowledge and experience. It can also task automation that can simplify administrative duties usually performed by inside salespeople, as well as pricing optimization for products sold through both channels.

Suppose you’re looking to pursue a career in sales despite these risky developments. In that case, getting comfortable with industry technology trends – from CRM platforms to PPC marketing strategies – is essential since these will ensure you have the skills necessary for this industry going forward.


Recruiting is a complex and high-stakes job. At its core, the recruiter’s role is to find, assess, and onboard new employees for an organization. This process is often time-consuming, considering potential candidates’ technical and managerial capabilities. Unfortunately, with the rise of AI technology and automation in many industries, there is a non-negligible concern that recruiters may not be needed much longer to fill open roles.

AI will probably speed up the recruitment process, to the detriment of traditional recruiters

In an environment like this, those looking to break into recruitment or further their careers must prepare themselves for possible disruption by upskilling in technology tools such as data management and AI adoption. Generally speaking, understanding digital trends and a good eye for talent will put one ahead should technology be used as part of the recruiting process.


Aspiring writers should always be aware of the realities of the job. Even though writing has existed since before AI, computer algorithms are increasingly taking over aspects of writers’ careers, including writing articles, blog posts, and even books. A writer’s duties include researching topics, crafting narrative arcs, and incorporating information into pieces. Depending on the scope of their project and medium, they also need to arrange interviews, transcribe recordings, edit drafts, and respond to user comments or feedback.

There is a heightened risk for automation to replace some or all of these tasks. To prepare for this possibility, if you still want to pursue a career in writing, stay on top of emerging technologies and trends while continuing to sharpen your core skills such as structure, grammar, sentence flow, etc. Tapping into your creativity will also prove invaluable in engaging an audience day after day which no AI can replicate.

Financial Analysts

The role of a financial analyst is critical to the correct operation of any company’s finances. Their duties include assessing savings and investments, creating business models, offering advice on budgeting, providing analysis of financial market trends, and developing strategies to help support small businesses.

However, new tools such as ChatGPT are being created to perform similar tasks faster and more accurately than standard human analysts. This means fewer human, financial analysts are necessary as more companies will be looking towards AI agents to extract large amounts of information much faster than ever before.

Suppose you want to become a financial analyst despite this challenge. In that case, you should stay up-to-date on the latest industry developments and look for potential ways to augment existing tools with interactive visualizations or tailored analytics for decision-making that no computer can replicate.

Market Research Analysts

A market research analyst is responsible for designing and executing various methods to gather data such as surveys, customer segmentation, customer satisfaction surveys, and customer feedback that companies can use to make better decisions.

Unsurprisingly, marketing will be affected a lot by AI.

With the increasing number of tools, software, and Artificial Intelligence (AI) applications being used by businesses, some of the duties of a market research analyst could soon be automated. To stay competitive in this field, one should constantly learn new skills – such as analytics and statistics – to remain relevant in the job market. Additionally, train yourself on software that can help you with data aggregation for analyzing and forming conclusions on trends or insights. Keeping up with emerging AI technologies would also give an edge over competitors looking to fill the same position.


Adopting AI and other digital tools in various industries has led to disruption in many job roles. For individuals looking to break into these fields, staying on top of current trends and upskilling where possible to remain competitive is crucial. This means staying up-to-date with emerging technology developments while refining your core skillset, whether writing, financial analysis, or market research. With the right combination of knowledge, creativity, and technical know-how, one will be well-positioned for success regardless of industry disruptions caused by artificial intelligence applications.