Tl;dr AI will displace tech jobs in the following order: CS > DE > Design > SWE > DS > PM Artificial intelligence (AI) has been revolutionizing various industries, and the tech industry is no exception. As AI continues to advance, it is expected to disrupt and transform traditional tech jobs in the following order: Content Strategy: AI-powered content generation tools are becoming more sophisticated, capable of creating written content, social media posts, and even video scripts. These tools use natural language processing and machine learning algorithms to analyze data and produce relevant and engaging content. This could potentially reduce the need for human content strategists who create and manage content plans, as AI can generate content at scale, with high efficiency and accuracy. Data Engineering: AI can automate data collection, cleansing, and processing tasks. AI-powered data engineering tools can analyze large volumes of data, identify patterns, and perform data transformations. This can significantly reduce the time and effort required for data engineers to clean and prepare data for analysis. While human data engineers will still be needed to provide strategic guidance and ensure data accuracy, the routine data engineering tasks may be automated by AI. Design: AI is already being used in design applications, such as generating design prototypes, automating layout design, and creating visual assets. As AI algorithms become more advanced, they may be able to generate design concepts, select color palettes, and create visual elements with minimal human intervention. However, human designers will still be critical in providing creative and strategic input, as well as interpreting and understanding the nuances of design requirements. UX Research: AI can analyze user data and generate insights that can inform user experience (UX) design decisions. AI-powered analytics tools can collect and analyze data from various sources, such as user behavior, preferences, and feedback, to uncover patterns and trends. This can help UX researchers to understand user needs and preferences more efficiently. However, human UX researchers will still be required to interpret the findings, conduct in-depth user interviews, and apply human intuition and empathy to design user-centric experiences. Software Engineering: AI has the potential to automate certain aspects of software development, such as code generation, debugging, and testing. AI-powered tools can analyze code repositories, identify patterns, and generate code snippets, thereby reducing the time and effort required for certain coding tasks. However, human software engineers will still be indispensable in designing complex software architectures, solving unique problems, and providing critical thinking skills that AI may not possess. Data Scientist: While AI has the potential to automate certain aspects of data science, such as data preprocessing and model selection, the role of a data scientist goes beyond just running algorithms. Data scientists need to interpret data, understand business requirements, and make strategic decisions based on data insights. Human data scientists possess domain knowledge, creativity, and critical thinking skills that are essential for complex data analysis and decision-making, and these qualities are not easily replaceable by AI. Product Manager: Product managers play a critical role in defining product vision, strategy, and roadmap. While AI can provide insights and automate certain aspects of product management, such as market research and competitive analysis, human product managers are still needed to make strategic decisions, prioritize product features, and ensure customer satisfaction. Product management involves complex decision-making, stakeholder management, and strategic planning, which require human judgment and expertise. In conclusion, while AI has the potential to automate routine and repetitive tasks in tech jobs, human skills such as creativity, critical thinking, strategic decision-making, and domain expertise are still invaluable in many aspects of the tech industry. As AI continues to evolve, it is likely to augment and enhance human capabilities in tech jobs, rather than fully replacing them. It is important for professionals in the tech industry to adapt and upskill to stay relevant in the changing landscape of AI and technology.
Are you a DS
OMG every 5 mins it’s the same threads about AI taking jobs over and over and over again
because AI is taking jobs over.
What jobs has it taken over? How many? Give it another 5 years and you’ll actually be able to answer this
Stopped reading after I saw the PM ranking in the chain
Sorry you don’t understand how your org works
once PMs can have AI write SQL for them it’s over for DS
Tell me you are a DS without actually telling me
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Hit 4M NW !! Depressed and wanna quit.
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Why isn’t Trump dropping out?
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Joe Biden has to drop out
Completely agree https://youtube.com/shorts/mrtXuu1NhLQ?feature=share