AI BRIEF
AI got cheaper, closer to everyday work, and easier to measure
This week, AI got cheaper, more connected to everyday tools, and easier to measure. All three land on your desk as change questions, not tech ones.
AI that does routine computer work just got much cheaper OpenAI released GPT-6.1 Terra, a faster, lower-cost model for everyday tasks like filling forms and working with documents. What it means for change leaders: when handing routine tasks to AI costs half as much, more teams will try it, often before anyone talks to the people whose work is changing. Map those tasks now, and the people who do them. Source: BleepingComputer
We finally have data on how people use AI at work OpenAI released data on work-related ChatGPT use across nearly 100 countries and 165 types of work activity. What it means for change leaders: the question is moving from "Will AI take jobs?" to "Which tasks are changing?" That's where change management works. Ask it inside your organization first. Source: OpenAI Signals data summary
Billions spent on AI, and one question: where is the return? Meta raised up to $97.5 billion for AI, and the largest tech companies may spend up to $600 billion on AI infrastructure this year. What it means for change leaders: your CFO is asking the same question about your AI licences. Tools rarely pay off on their own. Adoption turns spending into value, and that's people work. Source: Asharq Al-Awsat
Also this week: Google opened Gemini and Search to more apps, so AI is moving inside the tools your people already use. (TechCrunch)
A question for your week: if someone asked which tasks in your team AI is changing right now, could you answer?