OpenAI calls for superintelligence safety

PLUS: Get the most out of ChatGPT's Deep Research

Good morning, AI enthusiasts. OpenAI expects AI to start making “significant discoveries” by 2028 — and is calling on industry and government to work together to prepare for the risks that could come with superintelligent systems.

The actual pace of progress is impossible to predict, but one thing’s clear: OAI is already setting the tone for how the world should adapt to the next wave of intelligence.

In today’s AI rundown:

  • OpenAI’s reccos to brace for superintelligent AI

  • The Rundown Roundtable: Our AI use cases

  • Get the most out of ChatGPT’s Deep Research

  • Research: McKinsey’s 2025 AI reality check

  • 4 new AI tools, community workflows, and more

LATEST DEVELOPMENTS

OPENAI

Image source: Reve / The Rundown

The Rundown: OpenAI just shared its view on AI progress, predicting systems will soon become smart enough to make discoveries and calling for global coordination on safety, oversight, and resilience as the technology nears superintelligent territory.

The details:

  • OpenAI said current AI systems already outperform top humans in complex intellectual tasks and are “80% of the way to an AI researcher.”

  • The company expects AI will make small scientific discoveries by 2026 and more significant breakthroughs by 2028, as intelligence costs fall 40x per year.

  • For superintelligent AI, OAI said work with governments and safety agencies will be essential to mitigate risks like bioterrorism or runaway self-improvement.

  • It also called for safety standards among top labs, a resilience ecosystem like cybersecurity, and ongoing tracking of AI’s real impact to inform public policy.

Why it matters: While the timeline remains unclear, OAI’s message shows that the world should start bracing for superintelligent AI with coordinated safety. The company is betting that collective safeguards will be the only way to manage risk from the next era of intelligence, which may diffuse in ways humanity has never seen before.

TOGETHER WITH YOU.COM

The Rundown: AI implantation often goes sideways due to unclear goals and a lack of a clear framework. You.com’s checklist pinpoints common pitfalls and guides you to build a capable, confident team that can make the most out of your investments.

Inside, you’ll get:

  • Key steps for building a successful AI training program

  • Guidance on overcoming employee resistance and fostering adoption

  • A structured worksheet to monitor progress and share across your organization

Get your checklist today.

THE RUNDOWN ROUNDTABLE

Image source: Ideogram / The Rundown

The Rundown: The Rundown Roundtable is a new weekly feature where we poll members of The Rundown staff on how the team is using AI. This week: how we’re using AI in our daily lives outside of work.

Zach, Al Writer: The internet connection in our basement has been terrible, and I put ChatGPT on the task. After troubleshooting and reviewing images of the setup, it recommended a series of new adapters and splitters (also directing me right to the purchase pages). The solution led to at least a 10x increase in speed and completely upgraded our experience.

Rowan, Founder: I’ve been using Notion AI (Claude) as a copilot to better personalize my daily life/routine/schedule. I have a weird way of combining time blocking and to-do lists for productivity, and I host it all in Notion. Then I get Notion AI to review for inefficiencies and better optimize my time.

For example, it told me that since I work at my desk and remotely, I should move my gym session to mid-day and treat it as a work break to recharge instead of end-of-day.

Jennifer, Tech & Robotics Writer: I recently took my daughter, who has complex food allergies, to Spain. Since I’m not great at Spanish, I asked ChatGPT to create a printable guide for restaurant servers that explained her allergies in detail and asked them to double-check ingredients with the chef. I also used it to help me practice what to say in Spanish and to suggest local dishes she could probably enjoy safely.

AI TRAINING

The Rundown: In this tutorial, you’ll learn how to use ChatGPT’s Deep Research to automatically browse the web, analyze dozens of sources, and generate structured, cited reports for market, customer, or competitive intelligence.

Step-by-step:

  1. Start a new chat in ChatGPT, click the + icon, and select Deep Research to activate the agent that runs multi-step web research and compiles insights

  2. Write a research prompt describing your goal (e.g., “Conduct market research for household robotics and identify ICP, pain points, and distribution strategy”), then answer any clarifying questions it asks

  3. Submit your request. Deep Research will browse the web for 5–30 minutes, analyze sources, and build a fully cited report you can track in real time

  4. Review the final report for insights, trends, and competitor data, then export it as a PDF/link. You can even attach it to a custom GPT for ongoing intelligence

Pro tip: Use Deep Research for projects requiring verified data. Give detailed context and measurable objectives to ensure the report is both comprehensive and actionable.

PRESENTED BY ATLASSIAN

The Rundown: AI adoption has doubled, and workers are saving over an hour daily, but only 4% of Fortune 1000 executives report efficiency gains — why? Atlassian’s new AI Collaboration Index: Executive Insights report reveals a disconnect between personal productivity and true business transformation.

Key findings from 200 executives and 12,000 knowledge workers include:

  • The elite 4% seeing transformation are building connected systems

  • The missing link: AI helps individuals but fails at team collaboration

  • The biggest AI opportunities within marketing, engineering, and human resources

  • Companies prioritizing experimentation over perfect strategy see 2x more innovation

Read the full report to uncover what organizations achieving real AI transformation are doing differently.

AI RESEARCH

Image source: McKinsey

The Rundown: McKinsey released its State of AI 2025 survey of nearly 2K organizations, revealing that while almost every company now uses AI, most are stuck in pilots, with only a fraction achieving enterprise-wide impact or scaling agents.

The details:

  • The survey found that 88% of companies now use AI somewhere, but most of them are in experimentation or pilot phases, with just 33% actually scaling it.

  • While 39% reported EBIT impact from AI, just 6% achieved an impact of 5% or more, largely by redesigning workflows and using it to drive innovation.

  • 62% are working with AI agents, but adoption is early, with 39% experimenting and just 23% scaling them, mostly in IT and knowledge management.

  • About 32% of companies expect workforce reductions of 3% or more next year, while 13% expect increases. Larger firms are more likely to predict cuts.

Why it matters: The key lesson comes from the high performers — the few seeing real bottom-line impact from AI. Their success shows that the real value of AI comes not from efficiency gains, but from redesigning workflows, scaling across functions, and using it to fuel growth and innovation.

QUICK HITS

  • ⚡️ Semrush One: Measure, optimize, and grow visibility from Google to ChatGPT, Perplexity, and more*

  • 📽️ Sora 2: OpenAI’s video AI, now adding watermarks with account IDs

  • 💻️ Higgsfield: AI video platform, now with a workspace for teams

  • 🤖 Grok-4 Fast: xAI’s lighter model, upgraded with a 2M token context window

*Sponsored Listing

Google introduced the File Search Tool, a fully managed RAG system that provides a simple, integrated, and scalable way to ground Gemini with users’ data.

OpenAI wrote a letter last week asking the Trump administration to expand a Chips Act tax credit to cover AI data centers, servers, and electrical grid components.

Google added new capabilities in Vertex AI Agent Builder, including SOTA context management, single command deployment, and observability and evaluation features.

UK firms plan 3% pay raises next year, but 1 in 6 expect AI to reduce headcount — some by over 10% — amid the weakest hiring outlook since the pandemic.

OpenAI expanded Codex access with the launch of a cost-efficient GPT-5-Codex-Mini, 50% higher rate limits, and priority processing for Pro and Enterprise users.

COMMUNITY

Every newsletter, we showcase how a reader is using AI to work smarter, save time, or make life easier.

Today’s workflow comes from reader Zack T. in Singapore:

“As an app marketer with limited knowledge in HTML, I upload reference designs I find online and ask ChatGPT to produce HTML templates for promotion pages, listing the parameters needed such as deal name, usual price, promotional price, discount %, image link, and link URL. Then I upload an Excel file with columns of parameters for each deal, and paste the output HTML into the source code of the promotion pages.”

How do you use AI? Tell us here.

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Rowan, Joey, Zach, Shubham, and Jennifer—the humans behind The Rundown

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