Inglés para Trabajar en Inteligencia Artificial

The artificial intelligence industry is expanding at a remarkable pace, and with that growth comes a critical requirement that many professionals overlook: English proficiency. Understanding why English sits at the core of AI work — and what vocabulary you need to thrive — can make the difference between staying competitive or falling behind.

Why is everyone talking about AI right now?

The numbers speak for themselves. The number of AI start-ups has grown 14 times since the year 2000, according to Crunchbase [0:31]. This means that more people every day are creating AI products, and those products are getting funded with real money. The market is expected to grow 40% per year until 2030 [0:48], which represents massive expansion across virtually every sector.

Perhaps the most compelling figure is this: by 2025, 100 million people are expected to be employed in the AI industry [1:01]. This wave of new jobs signals that AI is not just a trend — it is a structural shift in how the global workforce operates.

Why does the AI industry require English?

Three main reasons make English indispensable for anyone pursuing a career in AI:

• The market operates in English. Most AI companies use English as their primary language, and the majority of academic papers and journal articles in the field are written in English [1:22].
• The technologies are English-based. Programming languages, libraries, repositories, and models are all built in English [1:37]. If you want to read documentation, contribute to open-source projects, or use cutting-edge tools, English is non-negotiable.
• Natural language processing favors English. Natural language refers to the language humans speak — such as English, Chinese, or Spanish. Most developments in natural language processing (NLP) are based on English texts [1:55], which means AI systems tend to understand English best.

What will you learn about AI vocabulary and professional roles?

This course focuses on equipping learners with the main vocabulary needed to work in the AI industry [2:22]. Beyond individual words, it covers the professional roles that exist within the field, helping you understand how to guide your career path.

How does practicing with an AI system help?

A hands-on project is central to the learning experience: practicing a job interview with an AI tool called Google Interview Warm-Up [2:42]. This exercise puts all the vocabulary into a real-world context, simulating the kind of interaction you would face when applying for positions in AI companies.

The course is led by Renzo Cuadra, who holds a degree in business management from the University of Melbourne in Australia and another in artificial intelligence from the University of Groningen in the Netherlands [2:15].

How can you start building your AI career in English?

The path forward combines three elements: mastering industry-specific vocabulary, understanding the professional landscape, and practicing communication skills through AI-powered tools. Each of these pillars reinforces the others — knowing the right terms gives you confidence in interviews, and understanding roles helps you target the right opportunities.

If you are ready to strengthen your English for the AI industry, share which area of artificial intelligence interests you the most and what role you see yourself pursuing.