Microsoft Future of work report

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• Microsoft Future of work report

Dear friend,

The future with AI has been a topic that has fascinated me since I publish my book Beat the Robots in 2017. But with all these tools there are more opportunities. So in this ocassion, Microsoft brings the report of analyzing ChatGPT in the workforce. So let’s see what we can learn

1. ChatGPT's Edge: Boosting knowledge workers' speed by 37% and quality by 40%, ChatGPT shines, though accuracy faces a 20% challenge. Solutions are in the pipeline.

2. Copilot 365 Users' Verdict: A survey shows Copilot users find it accelerates workflow (73%), aids in crafting a swift first draft (85%), and reduces mental effort on mundane tasks (72%).

3. AI Across Skill Levels: New or low-skilled workers lead with a 43% improvement, while skilled workers see a commendable 17% uplift.

4. Provocative Partnerships: AI assistants paired with provocateurs offer a dynamic blend, challenging assumptions and promoting evaluation.

5. Micro-Moments and Microtasks: AI breaks down complex commands into manageable tasks, boosting overall quality and efficiency.

6. Shift in Importance: Analyzing and integrating AI-generated info may trump traditional content creation and searching. Skills beyond content production gain significance.

7. Nuances of Prompting: Fine-tuning LLMs for prompts and templates aid end-users, making prompting an evolving art.

8. Balancing Reliance: Highlighting errors and using co-audit tools help maintain a balanced reliance on LLMs.

9. Generative AI's Nuances: Generative AI demands self-awareness, contributing to its calibration and confidence.

10. Creative Collaborations: LLMs seamlessly integrate into the creative process, with 69% of Bing Chat conversations oriented toward professional tasks.

11. AI in Learning Spaces: Codex significantly improves students' Python learning, leaving manual code-modification abilities unaffected.

12. AI Transforming Research: LLMs' ability to analyze and generate synthetic data promises to revolutionize social science research.

13. AI in Meetings: LLMs address challenges in meetings, promoting equal participation and better interactions.

14. Management Delegation: AI extends beyond workflow to delegating management responsibilities, freeing executives for visionary focus.

15. Challenges in Chats: Modern office shifts to chats, but applying AI to employee chats poses unique challenges.

16. GPTs Impact: Around 80% of the US workforce may see at least a 10% impact on tasks due to GPTs, with 19% potentially facing a 50% impact.

17. Innovation vs. Automation: A shift from "substitution vs. augmentation" to "innovation vs. automation" underscores tracking innovative uses of human labor.

18. The Right Question: Instead of "How will AI affect work?" ponder, "How do we want AI to affect work?"

Excited to hear your thoughts on this AI journey

I'd love to hear your feedback on today's newsletter! Is there a specific type of content you'd like to see more of in the future? Since I'll be releasing a new edition each week, I welcome any suggestions or requests you may have. Looking forward to hearing your thoughts!

The Menu Magic is written by Francisco Cordoba Otalora, an AI entrepreneur living in London.

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