Careers That Will Be Disappeared by 2035:

Future of Humanity / Date: 05-01-2025

In this article, we’ll explore how to prepare for this revolution and secure a position in the future of IT work.

1. Current IT Market Landscape (Job Market Overview)

The IT job market has undergone rapid evolution in recent decades, driven by the advancement of emerging technologies such as artificial intelligence (AI) , IT automation , and quantum computing . These innovations are reshaping not only IT infrastructure, but also the roles and skills required of IT professionals. What was once a market focused primarily on technical support and systems administration is now expanding into more complex areas such as AI development, large-scale data analysis, and cybersecurity innovation.

IT automation has been one of the biggest transformative forces in the market. Companies are implementing solutions that automate repetitive tasks, such as server management and monitoring systems, freeing up IT professionals to focus on higher value-added areas, such as business strategy and developing customized solutions. A clear example of this is the automation of processes in data centers , where AI and automation tools are able to perform diagnostics and correct problems without the need for human intervention, saving time and resources. This movement is also impacting technical support functions, since AI is able to perform diagnostics and even provide solutions in real time, often replacing human assistants.

Artificial intelligence in the job market has challenged the traditional role of IT professionals, especially in areas such as data analysis and process automation. AI-based tools are being used to analyze large volumes of data in real time, optimizing decision-making and improving the operational performance of companies. In addition, with the increasing use of AI in the job market , new job roles are being created, such as data scientist and AI engineer , which require advanced technical skills and specific knowledge of new technologies .

Another relevant trend is innovations in quantum computing , which, although still in the early stages of development, are already beginning to impact IT companies and create new market demands. Quantum computing promises to revolutionize data processing, making complex computational tasks much faster and more efficient. This, in turn, will require constant updating of IT professionals' skills, with a focus on quantum programming and quantum systems architecture, which will bring new opportunities for those who specialize in this area.

In addition to these emerging technologies, digital transformation in IT continues to drive significant change. Companies across all industries are increasingly integrating digital solutions, from cloud computing platforms to AI-based applications, creating a growing demand for professionals capable of managing and optimizing these systems. The future of IT jobs points to a market where skills such as programming, digital infrastructure management and cybersecurity will be more in demand than ever.

In terms of opportunities, the advancement of these technologies creates a dynamic job market, where IT professionals need to be prepared to constantly evolve. Continuously updating skills and seeking specializations in emerging areas are essential to take advantage of the opportunities that these changes bring. The impact of digital transformation on IT work is therefore making the sector more challenging and competitive, but also offering a wide range of new possibilities for those willing to adapt to new market demands.

Studies indicate that the IT market will continue to grow exponentially in the coming years, with the demand for professionals specialized in emerging technologies such as AI, automation and quantum computing increasing significantly. The future looks bright for those who can adapt to these changes, especially those seeking a career in areas such as cybersecurity , cloud computing and advanced data analytics . However, professionals need to understand that success in the IT job market of the future will depend on the ability to innovate and learn continuously.

2. Careers on the Verge of Disappearance by 2035: IT Professions at Risk in the Future of the Job Market

The information technology industry is at an inflection point. Technologies like artificial intelligence (AI), cloud computing, and automation are redefining the job market, and some careers that were once mainstays of the industry are at risk of disappearing by 2035. Below, we take a closer look at the most vulnerable IT professions, the reasons behind their decline, and the signs professionals should look for to stay ahead of the changes. Based on industry reports and technology trends, here’s what you need to know.

1. Legacy Systems Programmers

What they do : These professionals specialize in maintaining and updating old systems, such as those developed in languages like COBOL, Fortran or RPG, often used in banks, insurance companies and government agencies.

Why they’re at risk : The transition to modern platforms is accelerating. Companies are migrating from legacy systems to cloud-based solutions like AWS and Salesforce, which offer greater scalability and efficiency. A 2023 Gartner report predicts that 70% of legacy system maintenance tasks will be automated by 2030 , with AI tools converting old code into current languages or eliminating the need for human intervention. Additionally, the retirement of systems like mainframes that have supported these functions for decades is reducing the demand for specialists.

Practical example : Banks that previously relied on COBOL to process transactions now use modern APIs and microservices, reducing the need for programmers for manual maintenance.

Red flag : If your job involves supporting software that hasn't been updated in years or is being replaced by SaaS (Software as a Service) solutions, it's time to reconsider your specialization.

2. Traditional System Administrators

What they do : Responsible for installing, configuring and managing physical servers, operating systems and local networks in corporate data centers.

Why they’re at risk : Cloud computing is revolutionizing IT infrastructure. Platforms like Microsoft Azure, Google Cloud, and Amazon Web Services (AWS) offer infrastructure-as-a-service (IaaS) services, eliminating the need for on-premises physical servers. A 2022 IDC study estimates that 60% of global enterprises will be fully cloud-based by 2035 , drastically reducing the need for manual administrators. Tools like Docker and Kubernetes automate systems management, while real-time monitoring solutions replace tasks previously performed by humans.

Practical example : Before, setting up a server required hours of manual work; today, a Terraform script can provision dozens of virtual servers in minutes.

Warning sign : If your routine involves maintaining physical hardware or systems that are being migrated to the cloud, your role may be in question.

3. Level 1 Technical Support

What they do : They resolve basic IT issues, such as resetting passwords, setting up printers, or diagnosing simple software and hardware failures.

Why they’re at risk : The rise of AI-powered chatbots and virtual assistants is transforming the support industry. According to Forrester, 80% of Tier 1 calls will be resolved by automated systems by 2024 , and this trend is only expected to grow. Companies like Zendesk and ServiceNow are integrating AI that answers frequently asked questions, provides interactive tutorials, and even executes remote commands, making human support redundant for routine issues. Additionally, self-service portals allow users to resolve issues themselves, reducing operational costs.

Practical example : A chatbot like Grok (powered by xAI) can guide a user to reboot a router in seconds, something that previously required a human attendant.

Warning sign : If you spend most of your time dealing with repetitive calls that could be documented or automated, your role is at risk.

4. Manual Software Testers

What they do : Perform manual testing on applications and systems to identify bugs, inconsistencies, or usability flaws before release.

Why they’re at risk : Test automation is taking over QA. Tools like Selenium, JUnit, and TestNG allow you to create scripts that simulate use cases in minutes, surpassing the speed and accuracy of manual testing. McKinsey projects that 50% of manual testing activities will be obsolete by 2030 as continuous integration (CI/CD) pipelines become standard at tech companies. Major players like Google and Netflix already rely almost exclusively on automated testing for rapid releases.

Practical example : A manual tester can take hours to check a web form, while a Selenium script does the same in seconds, testing multiple variables.

Warning sign : If your company is adopting agile methodologies with a focus on automation or reducing budgets for manual QA, it is a clear indication of change.

5. Traditional Front-end Developers

What they do : They create user interfaces for websites using HTML, CSS, and JavaScript, focusing on basic layouts and functionality.

Why they’re at risk : No-code and low-code tools like Wix, Squarespace, and Bubble allow non-coders to create functional and visually appealing websites. A 2023 Adobe report suggests that 30% of simple front-end tasks will be replaced by automated platforms by 2035. Additionally, frameworks like React and Vue.js are evolving to require more advanced skills, while generative AI (e.g., GitHub Copilot) already writes basic code snippets.

Practical example : A small business that previously hired a developer for a simple website now uses WordPress with ready-made themes, eliminating the need for manual coding.

Warning sign : If your work is limited to repetitive layout tasks or if clients prefer ready-made solutions, it's time to specialize in areas such as UX or mobile development.

6. Traditional IT Security Specialists

What they do : Perform manual audits, configure firewalls, and monitor systems for vulnerabilities or attacks.

Why they’re at risk : AI is revolutionizing cybersecurity. Solutions like Darktrace and CrowdStrike use algorithms to identify threats in real time, surpassing humans’ ability to perform manual analysis. Cybersecurity Ventures predicts that 40% of traditional security tasks will be automated by 2035 , with predictive systems taking over functions like pattern detection and incident response.

Practical example : An expert who previously analyzed logs for hours is now replaced by an AI that alerts about anomalies in seconds.

Warning sign : If your core tools are outdated or your company is investing in AI-based security platforms, your role may be in transition.