How does the use of artificial intelligence affect our productivity?

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takiya
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How does the use of artificial intelligence affect our productivity?

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What happens to our abilities and efficiency when using artificial intelligence tools? Is critical thinking declining? What skills will be in greater demand in the era of artificial intelligence? We present the results of a large study by Microsoft New Future of Work Report on the impact of artificial intelligence on tasks related to data search and analysis.



Key findings of the study on the use of artificial intelligence tools in working with information.

AI-based tools can improve productivity, but require Bulk SMS Iran careful evaluation and adaptation.

There are already several studies on this topic, and here are the main conclusions from them:

LLM-based tools can help you complete various tasks faster and improve the quality of the result.
Copilot for M365 saves time for various tasks.
Beginners or low-skilled workers benefit the most from using AI-based products.
Subjects spent 37% less time completing tasks when using AI-based tools.
Tools based on language models (e.g. ChatGPT) promote the development of critical thinking.

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AI tools can challenge assumptions, encourage evaluation, and offer counterarguments. However, the researchers say it is important that AI tools are designed to strike a balance between providing useful criticism and not overwhelming people.

Artificial intelligence can improve productivity.

Artificial intelligence can be used to enhance human capabilities through new problem-solving strategies through the micro-productivity strategy.

The concept of "micro-productivity": complex tasks are broken down into smaller subtasks and performed by the most qualified person or can be delegated to a machine.

Artificial intelligence can help in the automatic identification of microtasks, increasing the overall quality of execution and efficiency of the solution.

In the era of AI-based tools, data analysis and synthesis may become more important skills than content discovery and creation.

As content is easily generated using artificial intelligence, information work may shift toward deeper analysis and critical integration of text.

In turn, skills not directly related to content production, such as leadership, the ability to handle critical social situations, resolving interpersonal trust issues, and demonstrating emotional intelligence, may be more valuable in the workplace.

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