A career in AI offers not only the prospect of attractive salaries but also the opportunity to help shape the modern world. Companies across industries are increasingly adopting AI-based solutions, creating a strong demand for specialists. This is a fast-growing field where there is something for everyone, from engineering to AI ethics. A career in AI is therefore not tied to one business sector: it opens doors to creative industries, finance, and IT. So how to choose the right career field in AI? Read our article and find out.

A career in AI – what opportunities does it offer?

Artificial intelligence is present in virtually every aspect of business today, from automating manufacturing processes to personalizing online store offerings to analyzing large amounts of data. Although the situation is very dynamic, there are several major career paths in AI:

  1. Engineering. AI and machine learning engineers have analytical minds and a passion for solving complex problems.
  2. Data. Data science, the analysis and interpretation of data, is the foundation of any AI project. Without systems to collect and process raw data, it would be impossible to use it effectively.
  3. Applied AI. According to McKinsey’s “Technology Trends Outlook 2023” report, applied AI is one of the fastest-growing technology sectors. It includes business implementations of machine learning (ML), image recognition (Computer Vision), and natural language processing (NLP). An important part of it is the application of AI to marketing and sales.
  4. AI ethics. A career in AI as an ethics officer is one of the emerging professions focusing on creating AI policies for organizations and ensuring compliance with the law.

In what sectors is there a demand for AI specialists?

According to the US Bureau of Labor Statistics, technological advancements are driving the demand for artificial intelligence experts, which is expected to increase by 23 percent from 2022 to 2032. That’s much faster than in other industries. Here are the key players:

  1. Finances — banks and investment firms use big data and predictive algorithms to maximize profits and improve fraud detection.
  2. Agriculture — intelligent systems make it possible to optimize crop management and improve yields – this is where agrotechnologists come in. Thanks to their work, it is possible to minimize the use of fertilizers and pesticides, use robots, and precisely target and destroy pests.
  3. Healthcare — AI is changing the face of medicine by improving diagnostics and supporting telemedicine – jobs like “health data analyst” are emerging. AI is also being used extensively in research to develop new drugs and treatments.
career in AI

Source: DALL·E 3, prompt: Marta M. Kania

What skills are necessary to start a career as an AI engineer?

AI engineer jobs are for people who are fascinated by technology and have programming skills. For example, AI engineers who develop personalized recommendations for platforms like Netflix and Spotify are responsible for developing algorithms that match content to users’ preferences.

Data Science — what competencies do you need?

To be an effective data analyst, it is essential to have technical skills, such as knowledge of programming languages used in data analysis, for example, Python or R, and data visualization tools (such as Tableau or Power BI). It is also important to be able to work with large data sets, which requires knowledge of databases and SQL queries.

Apart from technical skills, statistical and mathematical skills are the foundation of data analysis. They allow for correct interpretation and conclusions. In addition, an analyst must have communication skills to effectively present analysis results and recommendations. Critical thinking and problem-solving skills are also useful in generating valuable business insights.

A career in applied AI

AI-powered marketing is no longer the future but an everyday reality. Using customer data, companies can tailor communications and products to individual users’ needs.Specialists will need to be able to configure sales chatbots or recommendation systems to help personalize online store offers. It will also be important to be able to use generative artificial intelligence, that is to say:

  • chatbots like ChatGPT or Bard that can help with marketing strategies and content,
  • Midjourney or DALL·E 3 for creating images, and
  • Runway or Kaiber for video content.
career in AI

Source: Kaiber (https://kaiber.ai/dashboard)

AI ethics

Ethics specialists deal with an important aspect of technology: challenges to privacy and the impartiality of algorithms. Their job is to ensure that systems based on artificial intelligence are used responsibly and according to the company’s values and the law.

AI platforms for training –where to gain knowledge?

The plethora of online learning platforms allows for flexible training in artificial intelligence and self-preparation for a career in AI. Here are a few recommended options:

Regardless of the chosen platform, the key is to combine learning theory with practice in the form of sample projects and solve real business and social problems using AI and data science.

career in ai

Source: Coursera (https://www.coursera.org/professional-certificates/applied-artifical-intelligence-ibm-watson-ai)

What soft skills are valued in the AI industry?

Despite the rapid evolution of technology, certain qualities will remain the same. To develop a career in AI, creativity or problem-solving skills will come in handy. The ability to work in a team is also considered an important asset when working on AI projects.


Going through the maze of career opportunities in the field of artificial intelligence requires a thorough understanding of both the needs of the job market and your own aptitudes. Understanding the specifics of different roles and their requirements will allow you to accurately choose a career in AI, chart an educational path, and focus on developing the most valuable soft skills. Artificial intelligence is evolving at an unprecedented rate. Adapting your career path to it will require flexibility, courage, and out-of-the-box thinking. But it may prove to be the key to professional success.

career in AI

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How to choose a career in AI? | AI in business #54 robert whitney avatar 1background

Author: Robert Whitney

JavaScript expert and instructor who coaches IT departments. His main goal is to up-level team productivity by teaching others how to effectively cooperate while coding.

AI in business:

  1. Threats and opportunities of AI in business (part 1)
  2. Threats and opportunities of AI in business (part 2)
  3. AI applications in business - overview
  4. AI-assisted text chatbots
  5. Business NLP today and tomorrow
  6. The role of AI in business decision-making
  7. Scheduling social media posts. How can AI help?
  8. Automated social media posts
  9. New services and products operating with AI
  10. What are the weaknesses of my business idea? A brainstorming session with ChatGPT
  11. Using ChatGPT in business
  12. Synthetic actors. Top 3 AI video generators
  13. 3 useful AI graphic design tools. Generative AI in business
  14. 3 awesome AI writers you must try out today
  15. Exploring the power of AI in music creation
  16. Navigating new business opportunities with ChatGPT-4
  17. AI tools for the manager
  18. 6 awesome ChatGTP plugins that will make your life easier
  19. 3 grafików AI. Generatywna sztuczna inteligencja dla biznesu
  20. What is the future of AI according to McKinsey Global Institute?
  21. Artificial intelligence in business - Introduction
  22. What is NLP, or natural language processing in business
  23. Automatic document processing
  24. Google Translate vs DeepL. 5 applications of machine translation for business
  25. The operation and business applications of voicebots
  26. Virtual assistant technology, or how to talk to AI?
  27. What is Business Intelligence?
  28. Will artificial intelligence replace business analysts?
  29. How can artificial intelligence help with BPM?
  30. AI and social media – what do they say about us?
  31. Artificial intelligence in content management
  32. Creative AI of today and tomorrow
  33. Multimodal AI and its applications in business
  34. New interactions. How is AI changing the way we operate devices?
  35. RPA and APIs in a digital company
  36. The future job market and upcoming professions
  37. AI in EdTech. 3 examples of companies that used the potential of artificial intelligence
  38. Artificial intelligence and the environment. 3 AI solutions to help you build a sustainable business
  39. AI content detectors. Are they worth it?
  40. ChatGPT vs Bard vs Bing. Which AI chatbot is leading the race?
  41. Is chatbot AI a competitor to Google search?
  42. Effective ChatGPT Prompts for HR and Recruitment
  43. Prompt engineering. What does a prompt engineer do?
  44. AI Mockup generator. Top 4 tools
  45. AI and what else? Top technology trends for business in 2024
  46. AI and business ethics. Why you should invest in ethical solutions
  47. Meta AI. What should you know about Facebook and Instagram's AI-supported features?
  48. AI regulation. What do you need to know as an entrepreneur?
  49. 5 new uses of AI in business
  50. AI products and projects - how are they different from others?
  51. AI-assisted process automation. Where to start?
  52. How do you match an AI solution to a business problem?
  53. AI as an expert on your team
  54. AI team vs. division of roles
  55. How to choose a career field in AI?
  56. Is it always worth it to add artificial intelligence to the product development process?
  57. AI in HR: How recruitment automation affects HR and team development
  58. 6 most interesting AI tools in 2023
  59. 6 biggest business mishaps caused by AI
  60. What is the company's AI maturity analysis?
  61. AI for B2B personalization
  62. ChatGPT use cases. 18 examples of how to improve your business with ChatGPT in 2024
  63. Microlearning. A quick way to get new skills
  64. The most interesting AI implementations in companies in 2024
  65. What do artificial intelligence specialists do?
  66. What challenges does the AI project bring?
  67. Top 8 AI tools for business in 2024
  68. AI in CRM. What does AI change in CRM tools?
  69. The UE AI Act. How does Europe regulate the use of artificial intelligence
  70. Sora. How will realistic videos from OpenAI change business?
  71. Top 7 AI website builders
  72. No-code tools and AI innovations
  73. How much does using AI increase the productivity of your team?
  74. How to use ChatGTP for market research?
  75. How to broaden the reach of your AI marketing campaign?
  76. "We are all developers". How can citizen developers help your company?
  77. AI in transportation and logistics
  78. What business pain points can AI fix?
  79. Artificial intelligence in the media
  80. AI in banking and finance. Stripe, Monzo, and Grab
  81. AI in the travel industry
  82. How AI is fostering the birth of new technologies
  83. The revolution of AI in social media
  84. AI in e-commerce. Overview of global leaders
  85. Top 4 AI image creation tools
  86. Top 5 AI tools for data analysis
  87. AI strategy in your company - how to build it?
  88. Best AI courses – 6 awesome recommendations
  89. Optimizing social media listening with AI tools
  90. IoT + AI, or how to reduce energy costs in a company
  91. AI in logistics. 5 best tools
  92. GPT Store – an overview of the most interesting GPTs for business
  93. LLM, GPT, RAG... What do AI acronyms mean?
  94. AI robots – the future or present of business?
  95. What is the cost of implementing AI in a company?
  96. How can AI help in a freelancer’s career?
  97. Automating work and increasing productivity. A guide to AI for freelancers
  98. AI for startups – best tools
  99. Building a website with AI
  100. OpenAI, Midjourney, Anthropic, Hugging Face. Who is who in the world of AI?
  101. Eleven Labs and what else? The most promising AI startups
  102. Synthetic data and its importance for the development of your business
  103. Top AI search engines. Where to look for AI tools?
  104. Video AI. The latest AI video generators
  105. AI for managers. How AI can make your job easier
  106. What’s new in Google Gemini? Everything you need to know
  107. AI in Poland. Companies, meetings, and conferences
  108. AI calendar. How to optimize your time in a company?
  109. AI and the future of work. How to prepare your business for change?
  110. AI voice cloning for business. How to create personalized voice messages with AI?
  111. Fact-checking and AI hallucinations
  112. AI in recruitment – developing recruitment materials step-by-step
  113. Midjourney v6. Innovations in AI image generation
  114. AI in SMEs. How can SMEs compete with giants using AI?
  115. How is AI changing influencer marketing?
  116. Is AI really a threat to developers? Devin and Microsoft AutoDev
  117. AI chatbots for e-commerce. Case studies
  118. Best AI chatbots for ecommerce. Platforms
  119. How to stay on top of what's going on in the AI world?
  120. Taming AI. How to take the first steps to apply AI in your business?
  121. Perplexity, Bing Copilot, or You.com? Comparing AI search engines
  122. ReALM. A groundbreaking language model from Apple?
  123. AI experts in Poland
  124. Google Genie — a generative AI model that creates fully interactive worlds from images
  125. Automation or augmentation? Two approaches to AI in a company
  126. LLMOps, or how to effectively manage language models in an organization
  127. AI video generation. New horizons in video content production for businesses
  128. Best AI transcription tools. How to transform long recordings into concise summaries?
  129. Sentiment analysis with AI. How does it help drive change in business?
  130. The role of AI in content moderation