
Dan Patiño
AI Strategy & Innovation at Coderhouse
Artificial Intelligence
The Artificial Intelligence Tools Companies Use the Most Today and What They're For
Published on
Artificial intelligence has stopped being a promise to become part of the day-to-day of companies. But among so many options, which ones do organizations really use and for what? Knowing the most adopted tools helps you understand where the job market is heading and what it's a good idea to learn.
This is a review of the AI platforms most present in corporate environments today, with their real use cases by area and the profiles that are specializing in getting the most out of them.
The most adopted AI tools in companies
ChatGPT Enterprise (OpenAI)
The corporate version of ChatGPT offers data privacy, greater capacity, and team administration. Companies use it for writing, document analysis, internal support, and rapid prototyping of ideas.
Microsoft Copilot
Integrated into Word, Excel, Outlook, and Teams, it automates tasks within the Office ecosystem: meeting summaries, formulas, email drafts, and data analysis. Its strength is living where people already work.
Google Gemini for Business
Google's bet integrates AI into Gmail, Docs, and Sheets, with a focus on collaboration and productivity within Workspace.
Claude (Anthropic)
Valued for its handling of long texts and its precision in analysis and writing tasks, it's widely used in legal, research, and content teams.
Notion AI
It adds AI capabilities to knowledge management: summaries, note generation, and information organization within teams' workspaces.
What companies use them for, area by area
Marketing: content generation, campaign ideation, and audience analysis.
Sales: proposal writing, call summaries, and lead prioritization.
Development: code assistants that speed up the work and reduce errors.
Operations: automation of repetitive tasks and internal documentation.
This logic of delegating the repetitive to AI is deepened in our article about how to delegate tasks to AI agents at work.
What the adoption data says
The The State of AI report by McKinsey shows that the adoption of generative AI in companies grew at an accelerated pace, with marketing, sales, and product development as the areas that report the most value. In parallel, the World Economic Forum's Future of Jobs Report points to AI skills among those with the highest demand in the coming years.
Recommended Coderhouse courses and careers
To learn to use these tools with professional judgment:
Introduction to Artificial Intelligence Course: the base to understand what AI can and can't do.
AI Automation Course: to automate real tasks by combining AI and no-code tools.
AI Agents Course: for those who want to build autonomous agents that execute tasks.
Add the AI skills that companies are looking for today. Start training.
Frequently asked questions
Which is the most used AI tool by companies?
ChatGPT and Microsoft Copilot lead corporate adoption, followed by Gemini, Claude, and Notion AI depending on the area and the ecosystem of each organization.
Do I need to know how to program to use these tools?
Not to use them in everyday tasks. It does help to have AI fundamentals to leverage them better and for roles that integrate them into processes.
Do companies replace employees with these AIs?
The dominant trend is one of productivity increase: AI takes on repetitive tasks and frees up time for higher-value work, more than replacing entire profiles.
What profile learns to use AI in companies?
From marketers and salespeople to developers and analysts. More and more roles incorporate AI, which is why it's a good idea to train as soon as possible.

About the author
I'm Dan Patiño, head of AI Strategy & Innovation at Coderhouse. My day-to-day work involves merging the tactical management of e-commerce (CRO, Email Marketing and SEO) with the development of disruptive solutions. I specialize in building internal AI-powered apps to automate tasks and boost innovation within the team. I firmly believe that technology is strategy's best ally. To dive deeper into my professional journey, I'll be waiting for you on my LinkedIn profile.