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Should we prepare for jobs created by AI?

G. Shrivastava

May 2, 2023

As AI continues to evolve and disrupt traditional job markets, it is also creating new job opportunities that require a unique set of skills. By 2030, we will see many new roles emerging, ranging from AI trainers and specialists in machine learning ethics to personal privacy advisors and AI-assisted medical professionals. The job market will shift increasingly towards roles that rely heavily on the application of AI and machine learning.

If these jobs don't exist yet, why should we think about them and the skills required to succeed in them?

According to the 2023 Future of Work report by the World Economic Forum, 75% of companies are thinking of adopting AI solutions in the next 5 years. By starting to think about these new roles and understanding the skills required for these emerging jobs, you can position yourself to thrive in the era of AI and take advantage of the opportunities created by this disruptive technology. The key to preparing for new roles created by AI adoption is to develop a growth mindset and remain proactive in your learning and skill-building. But first, it's important to identify these new roles.

5 potential job roles that could be created by AI and the skills required to do them:

🆕 AI Trainer
A professional responsible for training AI models to improve their accuracy and performance, requiring expertise in machine learning, programming, and data analysis. Skills required:

  • Strong understanding of machine learning algorithms and techniques
  • Programming skills in languages such as Python, R, and Java
  • Data analysis skills, including statistical analysis and data visualization
  • Knowledge of data preparation and feature engineering techniques
  • Ability to train and optimize AI models for accuracy and performance

🆕 Data Detective
A professional who analyzes data and AI outputs to identify errors, biases, and other issues, requiring a strong foundation in statistics, data analysis, and programming. Skills required:

  • Expertise in statistical analysis and data visualization
  • Knowledge of programming languages such as Python, R, and SQL
  • Ability to identify errors, biases, and other issues in data and AI models
  • Understanding of data privacy and security regulations
  • Strong communication skills to convey technical findings to non-technical stakeholders

🆕 Machine Learning Ethicist
A professional responsible for ensuring that AI systems are developed and used ethically, requiring knowledge of ethics, philosophy, and legal regulations. Skills required:

  • Knowledge of ethical and legal frameworks for AI development and use
  • Understanding of the social and cultural impact of AI systems
  • Strong critical thinking and problem-solving skills
  • Ability to analyze and evaluate the potential ethical implications of AI systems
  • Strong communication skills to advise stakeholders on ethical considerations related to AI

🆕 AI-Assisted Medical Professional
A medical professional who utilizes AI-powered tools to improve diagnosis and treatment of patients, requiring knowledge of medical science, AI, and data analysis. Skills required:

  • Expertise in medical science, including anatomy, physiology, and disease pathology
  • Knowledge of AI-powered medical tools and technologies
  • Strong data analysis skills, including statistical analysis and data visualization
  • Ability to integrate AI insights into medical decision-making processes
  • Strong communication skills to explain AI-based diagnoses and treatments to patients and other medical professionals

🆕 Personal Privacy Advisor
A professional who advises individuals and businesses on how to protect their personal data and privacy in an era of AI, requiring knowledge of legal regulations, cybersecurity, and data protection. Skills required:

  • Knowledge of data privacy and security regulations
  • Understanding of cybersecurity threats and data protection strategies
  • Strong communication skills to advise individuals and businesses on personal privacy concerns related to AI
  • Ability to analyze and evaluate privacy risks related to AI systems
  • Knowledge of tools and technologies for protecting personal data in an era of AI

On Adaptiv, you can chat with Ada, our AI-powered career mentor, and get a customised upskilling recipe to build your competences in new technologies like AI. The recipe will also contain micro-learning modules, based on your career goals and current skill level, that can be easily accessed through the app.