The tech industry endured upheaval in 2023 as titans like Meta, Amazon and Twitter laid off thousands amid economic decline. Alongside rapid AI advancements, this fueled doubts about tech career durability. Will enough jobs remain as automation accelerates?
Nobel laureate Christopher Pissarides recently advised students to reconsider STEM studies, predicting lower tech job availability in a decade. But for now, digital transformation continues worldwide. While AI will significantly impact the labor market, altering or replacing some roles, it also promises new opportunities.
What tech roles seem poised to withstand automation waves in the AI age? Here are the first 4 jobs expected to evolve along with coming innovations:
AI may someday write code autonomously, but developers will remain essential for oversight and debugging. As AI ‘copilots’ increasingly automate coding, developer teams may shrink. But competition will intensify for remaining jobs. Adaptability will prove key – developers able to efficiently utilize AI to boost productivity will stand out. Staying current on leading languages and frameworks will also be critical.
While ‘no code’ trends suggest reduced need for nitty-gritty coding skills, developers must still possess strong software fundamentals. When systems fail, they will be expected to pinpoint and resolve issues. Developers may write less original code day-to-day, but will provide the creative vision and human ingenuity machines lack. Those able to do more with less will be valued.
Developer roles also cross multiple industries, from finance and insurance to defense and logistics. For example, the US European Command in Germany seeks developers to maintain critical defense systems. Location flexibility is also increasing – remote work allows more developers to code from anywhere.
As digital threats rapidly evolve alongside innovations like AI and quantum computing, security roles will need to effectively harness these technologies to protect systems, data and users. Critical thinking, risk analysis and foresight will future-proof careers in this field.
With data breaches steadily rising, the need for cyber talent is going global. Security seekers can often pick preferred locations ranging from major tech hubs to smaller towns and communities. For example, Paris, Munich and English market towns like Stafford are all seeking cyber experts alongside small French communes such as Nanterre and Aulnay-sous-Bois.
The big data era is giving way to the age of data utilization as organizations finally tap vast datasets. Data scientists will enable more data-driven decision making through advanced analytics. They also ensure overall data health via cleansing, validating, structuring previously scattered, unorganized data.
Furthermore, data scientists’ work crucially progresses AI development and automation by designing predictive algorithms and models. Their skills make them prime candidates for bridging the gap between raw data and implemented AI.
The wide availability of data science roles, from entry-level to senior and managerial, demonstrates the field’s longevity. Businesses across sectors seek data experts to help them capitalize on AI’s potential.
AI and Machine Learning Engineers
As companies race to implement AI, talent still lags far behind demand. While these roles will likely evolve rapidly alongside exponential changes in AI itself, expertise in AI and machine learning engineering will remain essential over the long haul.
AI and machine learning engineers are now needed in diverse sectors from finance and insurance to manufacturing, law, healthcare and energy to develop and integrate customized AI applications. Consulting firms and IT providers hire specialists to bring AI capabilities to their wide customer base. Location flexibility is also increasing for those open to remote work.
Cloud Architects and Engineers
As data generation and processing scales exponentially for AI systems, cloud infrastructure must expand and strengthen to meet surging demand. Cloud architects design and optimize increasingly complex cloud platforms, while cloud engineers build and maintain this global network of data centers powering the AI economy.
With massive growth projected for cloud computing and storage, these roles will be in high demand across providers like AWS, Google Cloud and Microsoft Azure. Companies relying on cloud infrastructure also recruit architects and engineers for in-house needs. Those working with large multinational clients may enjoy location perks.
Business Intelligence Analysts
This role will work increasingly closely with data scientists as organizations seek to derive actionable insights from AI-driven analytics. Combining domain expertise in one industry with data science skills creates significant value. Adaptability is key as new analytics tools regularly emerge.
Automation is transforming workplaces globally across sectors like manufacturing, transport, healthcare, retail and more. Robotics engineers design, build, integrate and maintain robotics and intelligent automation systems, working closely with end business users. Combining technical expertise with soft skills is essential to bridge the human-robot interface.
Computer Vision Engineers
A key aspect of AI, computer vision leverages neural networks to analyze and understand visual data. As this technology progresses, vision engineers will develop applications for image recognition, processing, analysis and more. Diverse industries from manufacturing to medicine to agriculture will seek computer vision experts to identify use cases.
While parts of the labor market will be disrupted, the jobs above are primed to evolve alongside coming AI innovations. As Nobel laureate Pissarides’ caution illustrates, adaptability and new skills will be vital. But those choosing their career path need not fear automation making tech roles obsolete – rather, human-AI collaboration will create new opportunities.