The article explores how organizations need to redesign their structures, workflows, and management practices to adapt to the rise of agentic AI systems that can autonomously perform tasks and make decisions, arguing that traditional hierarchical models are ill-suited for a future where humans and AI agents collaborate closely.
The article explores how organizations need to redesign their structures, workflows, and management practices to adapt to the rise of agentic AI systems that can autonomously perform tasks and make decisions, arguing that traditional hierarchical models are ill-suited for a future where humans and AI agents collaborate closely.
AI companies are selling models below cost, subsidizing usage to capture market share and train better models. As these subsidies are unsustainable, prices will likely rise, potentially slowing enterprise adoption and shifting the competitive landscape.
The article examines how AI systems are increasingly creating bureaucratic structures that are too complex and fast-moving for humans to effectively oversee or govern, leading to a new era of "ungovernable" AI bureaucracy where automated decision-making outpaces human accountability.
To improve design with AI, designers should adopt "digital hoarding"—collecting and curating large amounts of visual references. This practice trains AI tools more effectively and strengthens the creative process. A rich personal digital asset library is key to leveraging AI for better design.
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The article argues designers can improve their AI-assisted work by becoming "digital hoarders"—collecting and organizing vast libraries of images, references, and visual assets. A well-curated personal archive feeds AI tools more effectively, leading to better prompts and creative outputs.
The article explores how organizations need to redesign their structures, workflows, and management practices to adapt to the rise of agentic AI systems that can autonomously perform tasks and make decisions, arguing that traditional hierarchical models are ill-suited for a future where humans and AI agents collaborate closely.