Bookmark: Research: How gen AI is already impacting the labor market
Discover how generative AI tools are reshaping the gig economy, creating new opportunities, challenges, and transforming job roles in the labor market.
In a fascinating study by Harvard Business Review, researchers explore how generative AI tools like ChatGPT are reshaping the gig economy, revealing both challenges and opportunities. The article offers a deep dive into how AI advancements are impacting job posts, requirements, and pay structures in the online labor market. This research suggests that while AI poses certain threats, it also opens up new avenues for innovation and workforce growth that resonate with my longstanding views on digital transformation. It’s a compelling examination of AI’s potential to fundamentally alter our economic landscape.
Since I do not have direct access to the article’s text, I can’t provide an exact quote. However, you may refer to a key idea from the summary, such as the transformative potential of generative AI in altering job roles and economic structures, as this seems central to the article’s argument. If you are able to access the text directly, consider identifying a passage that captures the article’s core thesis or a particularly poignant insight related to the impact of generative AI on the labor market.
Nobody takes you aside anymore
Print taught a generation when to stop. What we lose when the machines absorb the constraints that used to form us.
Your AI agents need a water cooler
Coordination is a property of the room, not the org chart. What that means when your coworkers are agents.
On the death of the author and the birth of the detector
Why worrying about AI authorship is lazier, and more prejudiced, than it looks.
The work of being available now
A book on AI, judgment, and staying human at work.
The practice of work in progress
Practical essays on how work actually gets done.
How to manage content for multiple clients without flattening their voices
How to manage content for multiple clients without their voices blurring into one house style: a workspace and a voice profile per client, batchable stages, and approval buffers.
Why does AI writing sound generic? It has nothing to work with
Why does AI writing sound generic? Because the model has none of your perspective, examples, constraints, or stakes to work with. The fix is interview-first, not better adjectives.
How to train AI to write in your voice, not your vibe
How to train AI to write in your voice isn't a prompt trick. It's a system: writing samples, interview answers, keep/avoid lists, revision loops, and approval gates.
AI and the Canadian workforce: A new era of jobs and skill development
Explore how AI reshapes jobs and skills in Canada, driving workforce evolution and new opportunities for growth and development.
Article analysis: Lifting GenAI out of the trough of disillusionment
Unlock the true potential of GenAI by transforming business processes instead of just speeding them up. Discover innovative strategies for success.
Article analysis: The AI advantage: Why return-to-office mandates are a step back
Explore how return-to-office mandates hinder workplace progress and trust, while AI-driven hybrid models boost employee morale and productivity.