A 21,000-person survey finds half of Americans use major AI tools and many expect job impacts. What recruiters must know about candidate expectations, bias audits, and regulation.

A new survey shows AI has reached a major turning point in America, with half of all adults now using at least one AI tool. Researchers from Northeastern University asked 21,000 people across all 50 states about their AI habits and found widespread adoption - every state except West Virginia had 40% or higher usage rates. Most people expect AI to change their jobs in the next five years, but a third remain unsure about how the government should handle AI rules. The findings show AI has gone mainstream, but Americans are still figuring out what this technology means for their daily lives and how it should be managed.

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Everyone's Using AI and No One Knows What To Think About It

Investor's guide to AI: separate speculative names from durable winners, spot infrastructure plays (power, cooling, data centers), and see practical use cases like AI in recruiting.

Janus Henderson Global Technology and Innovation Team Portfolio Manager Denny Fish says while some AI valuations like Palantir’s are speculative, others including Nvidia’s are more comfortable for investors. He talks about Janus Henderson's new AI ETF with Caroline Hyde on “Bloomberg Tech.”
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Investors Look for Comfortable AI Valuations

Recap of Bullish’s $1.1B IPO pricing above range, 20x+ oversubscription, allocation dynamics and SPAC-era context — plus how AI in recruiting shapes post-IPO scaling.

Crypto firm Bullish raises $1.1 billion in an IPO. The owner of media outlet CoinDesk priced its shares above the marketed range. Bloomberg’s Anthony Hughes speaks with Caroline Hyde and Ed Ludlow on “Bloomberg Tech.”
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CoinDesk Parent Bullish IPO Priced Over Range

Insights from Tencent’s earnings: why ad spending holds, chip realities for AI, and how AI is reshaping recruiting for cross-border digital teams.

Tencent and Alibaba are both likely to see strong advertising spending as domestic stimulus trickles down. WPIC CEO Jacob Cooke discusses the Chinese e-commerce environment with Caroline Hyde and Ed Ludlow on “Bloomberg Tech.”
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Ad Spending in China Is Strong, Says WPIC’s Cooke

Microsoft's analysis of 200,000 Bing Copilot chats reveals which jobs AI can replace, which remain resilient, and practical steps recruiters should take to adapt.

Is AI coming for your job? Microsoft analysed 200,000 AI chats to find out which jobs are most at risk. The results? Translators, writers, customer service reps — even journalists — could be replaced. But some roles are safe... for now. Which are the top 10 most vulnerable jobs? Which jobs are safe for now?

---

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By breaking stereotypes, Vantage aims to challenge conventional wisdom and present an alternative view on global affairs, defying the norm and opening the door to new perspectives. The show goes beyond the headlines to uncover the hidden stories – making Vantage a destination for thought-provoking ideas.

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The Top 10 Jobs that AI Could Replace Soon | Vantage with Palki Sharma | N18G

Explore Nancy Tengler's expert views on AI in recruiting, the Apple-Elon Musk dynamic, Tesla's AI strategy, and the future of frontier technologies shaping investment opportunities.

Laffer Tengler Investments CEO and CIO Nancy Tengler says she doesn’t think Elon Musk’s accusations that Apple is favoring OpenAI will “end” the App Store. She talks about her outlook on Apple, Tesla and chip stocks with Caroline Hyde and Ed Ludlow on “Bloomberg Tech.”
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Apple, Tesla Investor Reacts to Musk’s App Store Claims

Discover how ChatGPT-5’s new system prompt transforms recruiting with a bias to ship, specification-driven prompts, and controlled tool usage—unlocking faster, precise AI-powered hiring workflows.

My site: https://natebjones.com
My substack: https://natesnewsletter.substack.com/

Takeaways
 1. Bias to Ship: GPT-5’s system prompt is designed to execute quickly, asking at most one clarifying question before delivering a complete output—favoring speed over iterative refinement.
 2. Specification Over Conversation: Success with GPT-5 requires detailed, upfront specifications—task, deliverable, assumptions, non-goals, tool policies, and acceptance criteria—instead of casual prompts.
 3. Tool Policy Control: Without explicit permissions or restrictions, GPT-5 will proactively use tools like code execution or web search, which can surprise users.
 4. Compound Advantage for Early Adopters: Those who adapt to GPT-5’s bias toward speed and agentic behavior can outpace others in productivity and output quality.
 5. Canvas + Memory Integration: OpenAI is pushing GPT-5 toward a persistent, collaborative workspace model where memory and version control enhance long-term workflows.
 6. Failure Modes to Avoid: Risks include speculative over-completion, unintended tool usage, and lost commentary after image generation—each requiring prompt design safeguards.
 7. Roadmap Implications: The system prompt signals OpenAI’s move toward an AI-powered operating system that consolidates documents, code, scheduling, and memory into a single workspace.

Quotes
“We’ve moved from a helpful assistant to a full agentic colleague—tasks that took five turns now take one.”
“Wrong assumptions in your prompt don’t get clarified—they get shipped, beautifully and disastrously.”
“Success with GPT-5 isn’t about prettier prose; it’s about thinking like a manager delegating to a literal-minded, hyper-productive employee.”

Summary
I analyzed GPT-5’s leaked system prompt and found it engineered with a “bias to ship,” executing quickly with minimal clarification. To succeed, users must replace iterative chats with precise specifications that define tasks, deliverables, assumptions, non-goals, tool permissions, and acceptance criteria. This shift rewards early adopters who adapt their workflows to GPT-5’s agentic style, leveraging Canvas and memory for persistent, collaborative work. However, risks like speculative execution, unexpected tool use, and lost commentary after image generation require prompt safeguards. OpenAI’s design points toward an AI-powered operating system unifying work into one workspace.

Keywords
ChatGPT-5, GPT-5 system prompt, bias to ship, agentic AI, prompt engineering, specification mindset, tool policy, Canvas, memory, AI-powered operating system, OpenAI roadmap, early adopter advantage, workflow transformation, failure modes, compound advantage

Inside ChatGPT-5's Brain: System Prompt Secrets for First Movers

Discover how the GPT-5 rollout sparked user backlash, OpenAI's response, and its implications for AI in recruiting and professional use.

When OpenAI replaced GPT-4o with its new GPT-5 rollout, the backlash was immediate and fierce. Power users decried hidden model switching, casual users mourned the loss of a “friend,” and debates erupted over AI’s role as strategic collaborator versus sterile assistant. In this episode, NLW unpacks the revolt that forced OpenAI to restore GPT-4o, the deeper questions it raises about AI integration into daily life, and what it reveals about the next phase of AI adoption.

Brought to you by:
KPMG – Go to ⁠www.kpmg.us/ai⁠ to learn more about how KPMG can help you drive value with our AI solutions.
Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw 

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A ChatGPT Rebellion Wins Back 4o

Explore how ChatGPT-5 revolutionizes recruiting with advanced AI prompting techniques, artifact-driven transparency, and integrated multi-model capabilities to drive smarter talent decisions.

My site: https://natebjones.com
My substack: https://natesnewsletter.substack.com/
The story: https://natesnewsletter.substack.com/p/executive-briefing-the-chatgpt-5?r=1z4sm5

Takeaways:
 1. Multiple Models Under One Skin: GPT-5 isn’t a single model—it’s a bundle. Success now depends on routing to the right hidden model type via prompting rather than explicit model selection.
 2. “Think Hard” as a Trigger: Explicitly telling GPT-5 to “think hard” is a reliable way to invoke its reasoning mode for complex, multi-step synthesis.
 3. Prove the Work with Artifacts: The model performs best when you demand concrete artifacts (e.g., graders, code, rubrics) rather than just the final output.
 4. Clean, Structured Data Wins: For large-scale synthesis across messy datasets, clean and well-formatted inputs (Markdown, CSV) dramatically improve results.
 5. Guardrails for Non-Reasoning Mode: Fast, coherent outputs still require prompt-driven constraints to avoid hallucinations and over-complete but inaccurate content.
 6. Kitchen-Table Software Emerges: GPT-5 enables quick, shareable “micro-apps” for data visualization, project tracking, and other lightweight business tools directly in-chat.
 7. Cultural Shift Required: Rollouts must move from “use the model” to “here’s exactly how to use the model for this case,” with socialized wins and clear examples.

Quotes:
“We are not in the era of model choice anymore; we are in the era of model usage.”
“With GPT-5, telling it how to think matters less than demanding proof that it did the thinking.”
“This is the first time we’ve had reasonably good coding with a complete, native ability to produce small apps on demand.”

Summary:
GPT-5 changes AI transformation strategy by consolidating multiple hidden models into one interface, shifting the skill from choosing a model to invoking the right mode through prompting. Executives must train teams to “think hard” for reasoning tasks, demand artifacts that prove the work, and feed clean, well-formatted data. GPT-5 excels at large-context synthesis and enables lightweight, in-chat app creation, but requires tighter guardrails for fast, non-reasoning outputs. Rollouts now hinge on cultural adoption—showing not just where to use AI, but exactly how—so organizations can unlock new, high-value use cases others overlook.

Keywords:
GPT-5, AI transformation, reasoning mode, think hard, artifact-driven prompting, clean data, CSV, Markdown, prompt engineering, kitchen-table software, micro-apps, context window, hallucination control, organizational rollout, AI adoption strategy

The ChatGPT-5 Organizational Playbook

Discover how GPT-5 is reshaping AI in recruiting and advancing key frontiers like personality, reasoning, memory, and creativity. Learn why this evolution marks both a plateau and a new beginning for AI applications.

This episode explores ten practical shifts in the AI landscape following GPT-5’s release — from the plateau of raw LLM capability gains to the rise of tool-driven performance, consumer-first design choices, and the explosion of “vibe coding.” NLW breaks down how these changes reshape enterprise competition, open up opportunities for rival labs, drive price wars, and signal a future where multi-agent workflows become the norm.

Brought to you by:
KPMG – Go to ⁠www.kpmg.us/ai⁠ to learn more about how KPMG can help you drive value with our AI solutions.
Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw 

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10 Things That GPT-5 Changes

Explore the mixed reactions to GPT-5, its innovative meta-model approach, user frustrations, and promising improvements in AI recruiting and everyday use.

GPT-5 launched this week. Users poured in and quickly discovered some things they love, and somethings they really, really don't. NLW covers all the first reactions, good and bad, as well as giving his first takes on the model. 

Brought to you by:
KPMG – Go to ⁠www.kpmg.us/ai⁠ to learn more about how KPMG can help you drive value with our AI solutions.
Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw 

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What People Love and Hate About GPT-5

Explore the heated debate between Cloudflare and Perplexity over AI web crawling, data access ethics, and the future of AI-driven innovation in recruiting and beyond.

This week delivered explosive AI developments that will reshape the entire industry, from heated battles over web scraping to the harsh economics behind AI coding startups. We break down Cloudflare's aggressive confrontation with Perplexity over "stealth crawling" and what it means for the future of internet access, Google's defensive claims that AI overviews aren't killing web traffic, and the shocking revelation that AI coding companies like Windsurf and Replit are operating at devastating negative margins despite massive growth. Plus, we cover Google's Jules coding agent launch, N8N's potential $2.3B unicorn valuation as the first pure-play agentic company, Microsoft's aggressive talent poaching campaign targeting Google DeepMind, and OpenAI's incredible $500B secondary share talks alongside $1.5M employee bonuses and strategic $1-per-agency government deals. These stories reveal the brutal economics and power struggles defining AI's next phase.


Brought to you by:
KPMG – Go to ⁠www.kpmg.us/ai⁠ to learn more about how KPMG can help you drive value with our AI solutions.
Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw 

The AI Daily Brief helps you understand the most important news and discussions in AI. 
Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614
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