News of the day
1. Enterprise AI is evolving from simple chatbots to deep workflow integrations, with businesses assigning complex tasks to AI models, leading to significant productivity gains and a widening competence gap. → Read more
2. OpenAI launches 'AI Foundations' to certify 10 million Americans by 2030, addressing the AI skills gap with integrated ChatGPT learning and industry partnerships. → Read more
3. Google integrates Gemini AI as the core interface for its XR ecosystem, enhancing headsets and smart glasses with multimodal AI assistants. → Read more
4. Zhipu AI open-sources GLM-4.6V, a 128K context vision-language model with native multimodal tool calling for enhanced AI agents. → Read more
Our take
Hi Dotikers!
OpenAI just released its first "State of Enterprise AI" report, based on real usage data from enterprise customers and a survey of 9,000 workers. The key takeaway: enterprise AI adoption isn't just expanding—it's deepening.
The numbers are striking: ChatGPT Enterprise message volume grew 8x in one year, structured workflow usage (Custom GPTs, Projects) increased 19x, and reasoning token consumption surged 320x. We're clearly moving from occasional experimentation to systematic integration into business processes.
On the productivity side, 75% of workers report improved speed or quality of their output, saving 40 to 60 minutes per day on average. But here's the most interesting part: 75% say they can now complete tasks they couldn't do before. Coding-related messages increased 36% among non-technical teams.
The report also reveals a growing divide: "frontier users" (95th percentile) send 6 times more messages than the median. The main constraint is no longer model performance—it's organizational readiness.
Worth noting: France is among the fastest-growing markets (+140% year-over-year), alongside Australia, Brazil, and the Netherlands.
Alexis
Meme of the day
