«The history of general purpose technologies» shows that the real value starts flowing once firms start adopting their capabilities at scale, explains OpenAI, and — Enterprise AI now appears to be entering this phase.
Unlocks efficiencies
Usage of ChatGPT Enterprise isn’t just deepening, it is widening, too: Weekly messages were up 8 times and the average worker sent 30% more messages in the past year.
Adding to that, people are finding more efficiency from using ChatGPT, and most report saving 40-60 minutes per day — with power users reporting more than 10 hours saved per week, which is in line with other studies in the field.
87% of IT workers report faster resolutions, 85% of marketing and product users say campaigns go faster, 75% of HR pros say employee engagement has increased, and 73% of engineers report faster coding, the paper finds.
Cross-field pollination
But it’s not just people getting better in their own fields, OpenAI writes; there was an increase in coding messages of 36% from workers outside the field, and 75% report «being able to complete new tasks they previously could not perform.»
The fastest growing enterprise users of AI are Technology, healthcare and manufacturing, writes OpenAI — and the largest scale operators are professional services, finance and technology.
— People aren’t just using AI more often. They are using it for increasingly sophisticated tasks, OpenAI says, — Enterprises are expanding both the extensive margin—more workers adopting AI—and the intensive margin—existing users going deeper.
Read more: The actual report, OpenAI’s summary.