Discover how generative AI is more likely to augment jobs rather than replace them, transforming tasks and creating new opportunities for efficiency and innovation.
Explore how generative AI enhances jobs by automating tasks, fostering efficiency, and creating new opportunities instead of replacing human roles.
Generative AI tools like ChatGPT are driving the trend towards AI-driven automation. While many fear job losses, the impact of generative AI is more likely to be job augmentation rather than job displacement. A McKinsey report predicts that by 2030, 30% of hours currently worked in the US economy could be automated. However, only around 20% of jobs are considered “highly exposed” to generative AI automation. Jobs like customer service representatives face a higher risk of displacement, but tasks requiring human judgment and empathy will still need human intervention. On the other end of the scale, many jobs, such as teaching, healthcare, law, and software development, will integrate generative AI tools to automate repetitive tasks so that humans can focus on aspects that require uniquely human skills. In summary, rather than fearing job losses, individuals should examine their job roles to identify how generative AI could augment their work.
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.
The game-changing impact of AI
Explore how AI is revolutionizing healthcare, finance, education, retail, and HR, creating new opportunities in 2024 and beyond.
Atlassians choose where they work, every single day. Download our free report to see what we’ve learned as a result.
Explore Atlassian's insights on flexible work policies and employee satisfaction. Download the free report to learn from their distributed work experience.
Revolutionizing academia: AI tools
Explore AI tools transforming academia with enhanced writing, research efficiency, and streamlined publishing for students and scholars alike.