The Impact of GenAI and Its Implications for Data Scientists

What we can learn from Anthropic’s analysis of millions of Claude.ai chats.

(Image by the author)

GenAI systems affect how we work. This general notion is well known. However, we are still unaware of the exact impact of GenAI. For example, how much do these tools affect our work? Do they have a larger impact on certain tasks? What does this mean for us in our daily work?

To answer these questions, based on millions of anonymized conversations on Claude.ai. The study provides data on how GenAI is incorporated into real-world tasks and reveals actual GenAI usage patterns.

In this article, I will go through the four main findings of the study. Based on the findings I will derive how GenAI changes our work and what skills we need in the future.

Main findings

GenAI is mostly used for software development and technical writing tasks, reaching almost 50 % of all tasks. This is likely due to LLMs being mostly text-based and thus being less useful for certain tasks.

GenAI has a stronger impact on some groups of occupations than others. More than one-third of occupations use GenAI in at least a quarter of their tasks. In contrast, only 4 % of occupations use it…