AI Biases, Cringe, The Enterprise Gap, Invisible Work, and Dogs
Your Weekly Review of News in Technology, UX and AI
There is a gap between AI doing things and anyone actually verifying what it did. Enterprises are shipping autonomous agents faster than they trust the evaluations meant to catch their failures. Workers are quietly reshaping and masking AI's decisions just to protect their own credibility with stakeholders. And the MIT Sloan creativity study quantifies the same tension at the level of ideas themselves — AI makes each of us individually sharper while quietly narrowing what the group produces collectively, unless you're deliberate about where in the process you let it in. The common lesson: AI's outputs are getting good enough that the temptation is to stop checking them — which is exactly the moment checking matters most.
Let’s dive into the latest news, resources, and use cases from the world of product, UX, AI and technology:
📊 AI in Healthcare
👾 AI Biases
😬 Cringe
🤖 AI Enterprise Gap
🇨🇳 China
🚶➡️ Invisible Work
🐶 Dogs
Podcast
Harnessing AI in Healthcare: Insights from RJ Kedziora
In this episode of Product by Design, Kyle Evans interviews RJ Kedziora, co-founder of Estenda, a company specializing in custom software and data analysis for healthcare. We discuss RJ’s journey in technology and entrepreneurship, the importance of energy management over time management, and the role of AI in healthcare. RJ shares insights into the challenges and future of AI applications, the need for ethical considerations, and the potential for personalized healthcare solutions. He also offers advice to aspiring entrepreneurs looking to make a difference in the industry.
Prodity: Product Thinking is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.
News and Useful Reads
AI is more likely than humans to form biases when hiring
If you needed another reason to be pessimistic about AI and the current job market, look no further than the fact that AI may be more biased than humans in hiring decisions. We’ve seen this story before, and it’s still an issue.
The next time you apply for a job, AI may screen your résumé before any human sees it. But there’s good reason to question whether AI will judge you fairly. Researchers already know that LLMs pick up human biases from their training data. New research suggests that LLMs can also develop their own biases from experience—and stereotype job applicants more than humans do.
Some Kids Will Never Think AI Is Cool
Given the opinions of my kids and their friends, it definitely seems like younger generations will not be kind to AI.
In the four years since chatbots went mainstream, and their marketing campaigns went into overdrive, young people have grown increasingly skeptical of the hype around LLMs. Yes, many of them still use the tech for school assignments and companionship, but according to market research firm YPulse, 37 percent of teens aged 13 to 17 cringe when they see AI content like music and videos, and more than half worry about misinformation and deepfakes.
Enterprise AI is entering an evaluation gap: Agents are gaining autonomy faster than companies can verify them
The race to utilize AI, and specifically AI agents, is creating a gap in quality. Companies are shipping AI faster than they can verify if it’s good.
Half of enterprises have deployed an AI agent or LLM feature that passed internal evaluations and yet still caused a customer-facing failure — one in four more than once — according to the June 2026 VB Pulse survey of 157 qualified enterprise respondents at companies with 100 or more employees.
China’s AI models have Trump’s AI world at war with itself
Kimi and other Chinese models like it pose a real problem for Trump. And they’re dividing the top AI strategists in his orbit into factions. Every time a new smart, free model from China like Kimi gets released, US companies see less reason to fork out money to access models from Anthropic or OpenAI. Given that enthusiasm for these and other AI companies is driving an outsized share of economic growth, China’s AI models create both economic and political problems for the president.
The Invisible Work Draining Your Best Employees
The more you are able to do, the more you tend to do. The best employees and the best people are incredibly capable, which often means they are balancing a tremendous amount at home and at work. And it is burning us out.
The mental load is the continuous cognitive and emotional work of planning, organizing, and managing the details that keep work and life running. In the workplace, the thinking required for work is not just the cognitive labor of ensuring that tasks meet deadlines. It is also the emotional aspect of collaboratively brainstorming solutions, managing office relationships, handling employee interpersonal conflicts, and ensuring that output meets standards. At home, such mental load means coordinating care for kids, parents, or loved ones; managing household logistics; providing emotional support; and planning for the future. Most employees carry both loads at once, and the overload is crushing them.
Other Interesting Finds
Can Dogs See Color?
Where did dogs originate? Why do they lick us? Can they see color? These are the types of questions I often get from my kids, so in case you’re curious or need to be armed with answers.
While sight varies among both individual humans and dogs, a typical dog can see fewer colors than a typical human — but contrary to popular belief, they don’t see in black and white.