Buenos,
OpenAI just dropped its first-ever enterprise report, and the headline is that power users are saving over 10 hours a week. The data shows a massive gap between teams that just dabble with AI and those that truly build with it.
The real takeaway isn't just about saving time, it's about the 'how'. The report connects serious gains to deeply embedding AI into core processes—moving way beyond simple Q&A. This is where the competitive edge, and the revenue growth, is actually coming from.
Topics of the day:
OpenAI's first report on enterprise AI
ChatGPT can now order your groceries
MIT's system for building objects with voice
The accelerated timeline for GPT-5.2
The Shortlist: Poetiq tops a major reasoning benchmark by orchestrating models instead of training one, Apple loses its head of AI amid strategy tensions, and Meta signs real-time news deals with CNN and Fox to feed its AI high-quality data.
OpenAI Report: AI power users save an extra workday per week
What’s happening: OpenAI dropped its first-ever enterprise report, and the data shows a massive gap between casual AI users and power users, who are saving over 10 hours a week.
In practice:
Companies that master AI deployment are seeing real financial returns, with leaders achieving 1.7x more revenue growth than laggards, according to BCG.
The biggest gains come from moving beyond simple chat to structured workflows, with top data analysts using analysis tools 16 times more than their peers.
AI is enabling employees to complete tasks they previously couldn't perform, like non-technical workers using it to write code and build simple applications.
Bottom line: Dabbling in AI isn't enough to get a competitive edge. The real value is unlocked by deeply integrating it into core processes to create new capabilities, not just to do old tasks faster.
ChatGPT can now order your groceries (🇺🇸)
What's happening: ChatGPT now lets you order groceries through a new Instacart integration. You can chat about recipes or meal plans, and complete the purchase without leaving the conversation.
In practice:
AI assistants are shifting from answering questions to completing multi-step transactions in the real world.
Businesses can now embed their services directly into conversational interfaces where millions of users already spend time.
This pattern of collapsing complex workflows into simple conversations applies far beyond groceries—think booking travel, ordering supplies, or scheduling services.
Bottom line: This is a preview of AI agents that don't just inform, but actually do. Expect more integrations that turn conversations into completed tasks across every industry.
MIT AI turns voice commands into physical objects
What’s happening: Researchers at MIT developed a “speech-to-reality” system that uses AI to turn voice commands into physical objects, allowing a robot to assemble furniture from modular parts in minutes.
In practice:
This radically speeds up prototyping, letting you test physical concepts simply by describing them instead of waiting on 3D printers.
It opens the door for on-demand fabrication, where a business could offer highly customized products built right after a customer describes their needs.
The tech makes design more accessible, empowering non-technical founders to create custom hardware or retail displays without specialized skills.
Bottom line: This is a glimpse into a future where creating physical items is as easy as sending an email. For professionals in manufacturing or retail, this points toward a massive shift in custom production and supply chain speed.
OpenAI's next big model could launch this week
What’s happening: The AI model race is kicking into high gear. OpenAI is reportedly accelerating the release of its next major model, GPT-5.2, as a direct response to Google’s impressive Gemini 3 Pro.
In practice:
This update is expected to focus on speed and reliability, meaning your custom automations and AI-powered workflows should become more consistent and less error-prone.
The performance jump aims to close the gap with competitors, raising the ceiling for what’s possible with complex tasks like data analysis, market research, and strategic content creation.
The fierce competition is great news for you, it forces labs to ship better, faster models, which directly translates to more powerful tools for your business at a rapid pace.
Bottom line: The platform you build on is about to get a major upgrade. Get ready to revisit automations that were previously too complex or unreliable for AI to handle.
The Shortlist
Poetiq claimed the top spot on a major reasoning benchmark, showing its six-person team could outperform Google by orchestrating existing models instead of building one from scratch.
Apple announced its head of AI is retiring amid a wider departure of key talent, reportedly over the company’s strategic decision to rely on outside partners for its core AI technology.
Meta signed licensing deals with major publishers like CNN and Fox News to feed its AI real-time news, a key move to source high-quality data as copyright lawsuits escalate.
This newsletter is where I (Kwadwo) share products, articles, and links that I find useful and interesting, mostly around AI. I focus on tools and solutions that bring real value to people in everyday jobs, not just tech insiders.
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