In a recent LinkedIn post, Yonathan Cohen discusses the immediate impact of AI tools like ChatGPT and Claude on business operations, highlighting the specific roles and tasks that are most susceptible to automation. Cohen, who specializes in helping companies integrate these advanced AI models, identifies a consistent pattern in the types of work that AI readily absorbs.
According to Cohen, the initial wave of AI adoption targets the tasks that are often overlooked or disliked within organizations. He argues that these are not necessarily the most complex jobs, but rather the repetitive, time-consuming, and often administrative duties that drain employee bandwidth.
“Every team carries work nobody wants to do. That’s what the AI takes first.”
The First Five Roles Targeted by AI
Yonathan Cohen breaks down the top five areas where AI is making its most immediate inroads. These are roles or functions within a company that, while essential, are often characterized by repetitive or time-intensive tasks that AI can handle efficiently.
Sales
In sales, Cohen points out that AI is particularly effective at tackling the less glamorous aspects of lead generation. As he notes:
“→ the cold outreach no one has time for, drafted and personalized”
This suggests that AI can free up sales professionals from the tedious task of crafting initial outreach messages, allowing them to focus on building relationships and closing deals.
Support
For customer support teams, AI offers a solution to manage the high volume of routine inquiries. Cohen explains that AI can handle the bulk of these questions, ensuring that human agents are reserved for more complex or sensitive issues. He highlights this by stating:
“→ the repeat questions answered, only the real ones reach a human”
Marketing
The marketing department also stands to gain significantly from AI integration, particularly in content creation. Yonathan Cohen observes that AI can transform raw ideas into polished marketing materials.
“→ messy ideas turned into posts, newsletters, docs”
This capability allows marketing teams to scale their content production and experiment with different formats more rapidly.
Operations
Cohen identifies operations as another key area for AI-driven automation. The administrative burdens that often bog down ops teams, such as reporting and follow-ups, are prime candidates for AI intervention. He states:
“→ the follow-ups, the emails, the reports, the admin that eats the week”
By automating these tasks, AI can significantly improve operational efficiency and reduce the time spent on administrative overhead.
Research
Finally, Yonathan Cohen points to market and competitor research as a function ripe for AI assistance. The in-depth analysis and data gathering required for effective research can be time-consuming. As Cohen puts it:
“→ the market and competitor digging nobody sits down to do”
AI tools can accelerate this process, providing valuable insights that might otherwise be difficult to obtain due to time constraints.
AI’s Readiness for Business Tasks
Cohen concludes his post by emphasizing that the AI models being deployed, such as ChatGPT and Claude, are not just conversational tools but are specifically engineered to perform these business-oriented tasks. He stresses that these AI systems are “wired to do the jobs, not just chat,” indicating their practical applicability and readiness for integration into core business functions.
📝 About This Content
This article is based on insights shared by Yonathan Cohen on LinkedIn.
📅 Originally posted on June 30, 2026 | View original post on LinkedIn →