Institutional AI vs Individual AI - by George Sivulka

kept by eddie mar 13

Individual AI tools boost personal productivity but fail to improve firm-level outcomes until organizations redesign their processes and coordination structures around AI.

The internet ruined customer service. AI could save it.
AI collapses the cost of high-quality customer attention, enabling every business to offer personalized, concierge-level service and turning support into a revenue driver.
also on Decagon, #enterprise, #business-strategy, #ai
Data is your only moat
The article argues that data collected from user adoption is the only sustainable moat for AI applications, with easy-to-adopt, easy-to-solve use cases being value traps for startups.
also on Decagon, #enterprise, #business-strategy
Preliminary Thoughts On The Midjourney Scanner
Midjourney's pivot to a full-body ultrasound scanner faces skepticism from radiologists due to physical limitations and lack of evidence for whole-body screening, though future AI could change its usefulness.
also on Midjourney, #business-strategy, #ai
Coarse is better
Older AI image generation models produce more aesthetically pleasing, artistically coarse results than newer, precise models like Nano Banana Pro, according to the author.
also on Midjourney, #business-strategy
AI's Bundling Moment
As AI model release cadence accelerates to every 42 days, companies like Harvey, Glean, and ElevenLabs are expanding from single workflow tools into broad platforms, reversing the SaaS-era unbundling strategy.
also on ElevenLabs, #enterprise, #business-strategy, #ai