A lot of news about AI filmmaking advancements and new policies around AI technology so let’s dive right in.
Welcome to WednesdAI – Pixel Dreams’ weekly update with top stories from the rapidly evolving world of Artificial Intelligence.
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JSON Prompting
JavaScript Object Notation (JSON) prompting is a way of structuring instructions for AI models using JSON, the simple data format that developers already rely on to organize information. Instead of writing long, unstructured text prompts, you can break things into clear fields like “task,” “style,” or “audience,” which makes the AI’s job easier and your results more predictable. It’s like giving the model a well-labeled grocery list instead of a vague request for “food.”
Watch this week’s WednesdAI for our Intro to JSON tutorial, walking you through the basics so you can start experimenting with JSON prompting yourself.
💼 Work & Workforce
Stanford Study: AI Cuts Youth Jobs by 13%
A new Stanford study warns that generative AI is cutting into entry-level jobs, especially roles Gen Z relies on to launch careers. Researcher Erik Brynjolfsson said tasks like basic coding, copywriting, and data analysis are being automated, shrinking traditional pathways into the workforce. The study argues this could worsen inequality by making it harder for young workers to gain experience. For businesses, it highlights a looming talent gap where AI fills junior roles but leaves fewer trained employees to advance into senior positions.
📰 Read more from Fortune.
AI Agents Cut 4,000 Salesforce Jobs
Salesforce is cutting 4,000 jobs as AI agents take over routine sales and support tasks, just months after CEO Marc Benioff publicly downplayed AI’s impact on employment. The company said automation is boosting efficiency but acknowledged the layoffs are directly tied to AI integration. The move highlights the speed at which generative AI is reshaping white-collar work, especially in customer-facing roles. For businesses, it’s a clear signal that AI adoption is no longer just about productivity gains but also about headcount reduction.
📰 Read more about this from UC Today.
⚙️ Systems & Safeguards
Taco Bell Now Rethinking AI Drive-Thrus
Taco Bell is rethinking its use of AI at drive-thrus after customer complaints about wrong orders and awkward interactions. The system was meant to speed up service and cut labor costs but often struggled with accents, background noise, and menu complexity. Franchisees reported that fixing AI mistakes ended up slowing lines instead of helping. For businesses, it’s a reminder that cutting humans out too quickly can backfire when the tech isn’t ready for real-world messiness.
@bbcnews Taco Bell is reassessing its use of artificial intelligence after a number of errors were shared widely online. #AI #TacoBell #DriveThru #USNews #BBCNews ♬ original sound – BBC News
📰 Get the updates from TechCrunch.
Maisa AI Gets $25M to Fix Enterprise AI Failures
Maisa AI raised $25 million to tackle the problem of enterprise AI projects failing 95% of the time, often due to poor integration and unclear ROI. The startup offers tools to monitor, troubleshoot, and optimize AI models once they’re deployed in business settings. Investors see it as a way to turn expensive experiments into systems that actually deliver value. For businesses, it highlights growing demand for “AI plumbers” who fix the messy reality of deploying machine learning at scale.
📰 Dive into more insights from TechCrunch.
🏥 Health & Humanity
GPT-5 Surpasses Doctors on USMLE
A new research paper from Chinese scientists describes an AI system that can autonomously design and run entire lab experiments, from forming hypotheses to analyzing results. The system successfully carried out chemistry tasks with minimal human input, showing it could speed up scientific discovery and reduce labor costs. Researchers say this kind of “self-driving lab” could accelerate breakthroughs in fields like drug development and materials science. For businesses, it points to AI moving beyond office automation into core R&D, where the economic stakes are far higher.
📰 Find out from AlphaXiv.
911 Centers Rely on AI to Answer Calls
Overloaded 911 call centers are starting to use AI to handle non-emergency calls as staffing shortages hit crisis levels nationwide. The systems can triage calls, provide basic information, and free up human dispatchers for urgent emergencies. Officials say it’s a stopgap to keep response times under control, though critics worry about errors in high-stakes situations. For businesses, it shows AI creeping into critical public services, where reliability and trust matter as much as cost savings.
📰 Full story from TechCrunch.
The section header images in this article were generated using the following prompts:
