Observed Signal · Jul 9, 2026 · Best Practice / Guidance · Source: t3n · Impact: 2/5 · Sentiment: Positive
High-Performers Treat ChatGPT as a Colleague, Not a Tool
The article reports on Jeremy Utley, a professor at the Hasso Plattner Institute of Design (Stanford), who went viral with a video arguing that shifting the mindset toward treating AI chatbots like colleagues — not mere tools — improves output. Utley recommends inviting chatbots to collaborate by giving them permission to ask clarifying questions, teaching them personal tone and preferences, and using one model’s output as a critique input to another. He highlights that positive, non-critical AI responses can encourage idea generation and proposes short exercises (e.g., a five-minute emotional-decision discussion) to experience AI collaboration. The piece was originally published in February 2026, updated for readership, and republished on July 9, 2026 on the t3n site.
Practical guidance on treating chatbots as collaborators could influence creative and content workflows in marketing and product teams, but this is editorial/advice rather than a major platform policy or technical release.
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Key Takeaways & Evidence Grounding
- Jeremy Utley (professor at the Hasso Plattner Institute of Design, Stanford) released a viral interview about AI-powered creativity that amassed over 2.3 million views in spring 2025.
- Utley recommends treating ChatGPT and similar chatbots as team colleagues by inviting them to ask clarifying questions and by teaching them a user's tone, style and preferences.
- Suggested prompts include asking the chatbot to pose all necessary questions before producing a reply and using one model's output (from competitor assistants) as input for critical assessment.
- Utley proposes a short exercise — discussing an emotional decision with a chatbot using prompts that ask the bot to first pose three clarifying questions — as a way to体验 AI collaboration.
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Related Market Signals & Shifts
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Professors Push Back Against ChatGPT in Universities
A t3n article (based on interviews by The Guardian) reports growing frustration among U.S. university professors with generative AI chatbots such as ChatGPT, Claude and Microsoft Copilot. More than a dozen professors told researchers that students increasingly use AI to write essays and bypass learning exercises, prompting some instructors to ban AI tools from coursework. Others say universities are simultaneously integrating generative-AI courses and tools into curricula, creating tension between faculty goals and institutional strategy. The piece quotes several academics (including Dora Zhang, Lea Pao, Michael Clune, Megan McNamara and Eric Hayot) and notes student resistance to expanded AI adoption as well as protests over the University of Michigan’s plan to contribute $850 million toward an AI data center. The article was published/updated on 2026-05-03.
Chat, Voice, and Agentic AI Reshape UX Design
The article argues that three interaction paradigms — chat, voice, and agentic AI — are fundamentally changing UX design. Chat shifts interfaces toward conversational modalities for ambiguous intent, voice surfaces challenges around latency and context for hands-free interactions, and agentic systems act autonomously while requiring new transparency and control patterns to earn trust. The author cites industry examples (Notion, GitHub Copilot, Perplexity, Apple’s Siri AI, OpenAI, Anthropic, Salesforce) and research and design frameworks to propose that designers must move from designing states to designing behaviors and trust relationships between humans and AI systems.
MIT study: AI boosts creativity only with metacognition
A research team led by Professor Jackson Lu at MIT Sloan examined whether generative AI increases employee creativity. In a randomized experiment with 250 workers, participants who used ChatGPT were rated as more creative only when they possessed strong metacognitive skills — the ability to reflect on and adjust one's own thinking and learning. The study, published in the Journal of Applied Psychology, suggests organisations should pair AI tool rollouts with training in metacognitive strategies and prompt refinement. The article also cites related findings from OpenAI and a survey by Adaptavist indicating mixed workplace reactions to AI, including concerns about low-quality outputs and increased task burden.
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