2–3 minutes

Maurício Pinheiro

The rapid rise of artificial intelligence (AI) has sparked heated discussions about how it can replace or reshape various careers. In the realm of information technology (IT), this revolution is even more apparent. AI is becoming capable of assuming repetitive and predictable tasks, raising the crucial question: which professions are most susceptible to this transformation?

Here, we present a list of occupations in the IT field that are under scrutiny from artificial intelligence:

  • Telemarketing Operators: AI can handle basic customer interactions, providing personalized responses automatically.
  • Typists and Transcribers: Voice recognition software can accurately transcribe audio to text, reducing the need for manual text input.
  • Bank Tellers and Cashiers: Banking automation and electronic payment systems are reducing the demand for human interactions in financial transactions.
  • Credit Analysts: AI systems can analyze large volumes of financial data for quick and accurate credit decisions.
  • Legal Assistants and Document Reviewers: AI algorithms can analyze legal documents and contracts, identifying relevant information more efficiently.
  • Administrative Assistants: AI software can manage schedules, respond to emails, and perform other administrative tasks automatically.
  • Production and Assembly Operators: Automation and robotics have replaced many manual tasks on assembly lines.
  • Drivers and Delivery Personnel: With the advancement of autonomous vehicles, this area may undergo significant transformation.
  • Data Analysts: Although advanced interpretation still requires human intervention, the initial collection and analysis of large volumes of data can be automated.
  • Proofreaders and Editors: AI software can correct grammar and style, as well as offer suggestions for improvements in texts.
  • Software Developers for Routine Tasks: AI can generate code for standardized and repetitive tasks, reducing the need for manual coding in certain types of software development.
  • Software Test Analysts: AI tools can automate software testing, identifying bugs and performance issues without human intervention.
  • Technical Support Analysts: AI bots and systems can solve common technical support problems, providing automatic responses to frequently asked questions.
  • Database Administrators: Automated systems can manage optimization, backup, and security of databases, reducing the need for manual intervention.
  • Cybersecurity Experts for Routine Tasks: Although advanced analysis still requires human experts, many tasks related to monitoring and responding to security incidents can be automated.
  • Network Engineers for Maintenance: AI tools can monitor and optimize network performance, identifying and resolving issues automatically.
  • Systems Analysts for Basic Requirements: AI systems can assist in collecting and analyzing requirements for simple system projects.
  • Search Engine Optimization (SEO) Specialists: AI tools can perform keyword analysis, content optimization, and performance monitoring of websites efficiently and on a large scale.
  • IT Project Managers for Routine Projects: AI tools can automate tasks such as programming, resource allocation, and progress monitoring in repetitive projects.
  • System Maintenance Professionals: AI can automate tasks related to maintenance and updating of IT systems, such as applying security patches and software updates.

These conclusions are based on automation criteria established by German scientists, such as task repetitiveness, complexity, need for adaptation and learning, among others.

#AI #ArtificialIntelligence #AdaptationAndLearning #DataAnalysisByAI #BankingAutomation #TaskAutomation #SoftwareTestingAutomation #TaskComplexity #AutomationCriteria #AutomatedDatabaseManagement #ImpactOfAIOnCareers #AutomatedSystemMaintenance #SearchEngineOptimizationWithAI #ProfessionsSusceptibleToAutomation #AutomatedITProject #AutomaticSupportResponse #TechnologicalRevolution #VoiceRecognitionSoftware #InformationTechnology

References:

Laurent Giraud, Ali Zaher, Selena Hernandez & Al Ariss Akram. (2023) The impacts of artificial intelligence on managerial skills. Journal of Decision Systems 32:3, pages 566-599.
Read now 

Ulrich Lichtenthaler. (2020) A Conceptual Framework for Combining Agile and Structured Innovation Processes. Research-Technology Management 63:5, pages 42-48.

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