Explanation of Agile and Scrum concepts for the general public and startup members

How many of us are using AI already? 📊

36% of occupations are using AI for at least for quarter of their associated tasks. Only ∼ 4% of occupations exhibit AI usage for at least 75% of their tasks, suggesting the potential for deep task-level use in some roles.

57% of usage suggests augmentation of human capabilities through back and forth interaction on a task (e.g., learning about a topic). 43% suggests automation performing the task directly (e.g., fulfilling a request with minimal human involvement)

What are the LLMs used for?

Highest use for tasks in software engineering roles (e.g., software engineers, data scientists, bioinformatics technicians), professions requiring substantial writing capabilities (e.g., technical writers, copywriters, archivists), and analytical roles (e.g., data scientists). Occupations involving physical manipulation of the environment (e.g., anesthesiologists, construction workers) currently show minimal use. See graph. Wage vs AI Usage 💰

What skills are the most sought in this new technology?

Cognitive skills like Reading Comprehension, Writing, and Critical Thinking show high presence, while physical skills (e.g., Installation, Equipment Maintenance) and managerial skills (e.g., Negotiation) show minimal presence. Reflecting clear patterns of human complementarity with current AI capabilities. 🧠

Barriers to entry: with peak usage in occupations requiring considerable preparation (e.g., bachelor’s degree) rather than minimal or extensive training.

Long term expectations: The impacts of language model-powered software, they conclude that around half of all tasks in the economy could one day be automated.

Information from Claude's report analyzing performed tasks and economic impact of AI.