OpenAI calls for superintelligence safety

Good morning, AI enthusiasts. OpenAI expects AI to begin making “significant discoveries” by 2028 — and is asking on industry and government to work together to arrange for the risks that might include superintelligent systems.

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

In today’s AI rundown:

• OpenAI’s reccos to brace for superintelligent AI

• The Rundown Roundtable: Our AI use cases

• Get essentially the most out of ChatGPT’s Deep Research

• Research: McKinsey’s 2025 AI reality check

• 4 latest AI tools, community workflows, and more

LATEST DEVELOPMENTS

OPENAI

🛡️ OpenAI’s reccos to brace for superintelligent AI

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

The small print:

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

• The corporate expects AI will make small scientific discoveries by 2026 and more significant breakthroughs by 2028, as intelligence costs fall 40x per 12 months.

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

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

Why it matters: While the timeline stays unclear, OAI’s message shows that the world should start bracing for superintelligent AI with coordinated safety. The corporate is betting that collective safeguards might be the one strategy to manage risk from the following era of intelligence, which can diffuse in ways humanity has never seen before.

TOGETHER WITH YOU.COM

💡One major reason AI adoption stalls? Training.

The Rundown: AI implantation often goes sideways resulting from unclear goals and a scarcity of a transparent framework. You.com’s checklist pinpoints common pitfalls and guides you to construct a capable, confident team that could make essentially the most out of your investments.

Inside, you’ll get:

• Key steps for constructing a successful AI training program

• Guidance on overcoming worker resistance and fostering adoption

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

Get your checklist today.

THE RUNDOWN ROUNDTABLE

💡 The Rundown Roundtable: Our AI use cases

The Rundown: The Rundown Roundtable is a brand 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 each day lives outside of labor.

Zach, Al Author: The web connection in our basement has been terrible, and I put ChatGPT on the duty. After troubleshooting and reviewing images of the setup, it really useful a series of recent adapters and splitters (also directing me right to the acquisition pages). The answer led to at the least a 10x increase in speed and completely upgraded our experience.

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

For instance, 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 piece break to recharge as a substitute of end-of-day.

Jennifer, Tech & Robotics Author: 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 intimately and asked them to double-check ingredients with the chef. I also used it to assist me practice what to say in Spanish and to suggest local dishes she could probably enjoy safely.

AI TRAINING

🧐 Get essentially the most out of ChatGPT’s Deep Research

The Rundown: On this tutorial, you’ll learn the best way to use ChatGPT’s Deep Research to robotically browse the net, analyze dozens of sources, and generate structured, cited reports for market, customer, or competitive intelligence.

Step-by-step:

1. Start a brand new chat in ChatGPT, click the + icon, and choose 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 discover ICP, pain points, and distribution strategy”), then answer any clarifying questions it asks

3. Submit your request. Deep Research will browse the net for five–half-hour, analyze sources, and construct a totally cited report you possibly can track in real time

4. Review the ultimate report for insights, trends, and competitor data, then export it as a PDF/link. You’ll be able to 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 make sure the report is each comprehensive and actionable.

PRESENTED BY ATLASSIAN

🤝 AI’s collaboration problem

The Rundown: AI adoption has doubled, and employees are saving over an hour each day, but only 4% of Fortune 1000 executives report efficiency gains — why? Atlassian’s latest 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 employees include:

• The elite 4% seeing transformation are constructing connected systems

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

• The most important AI opportunities inside marketing, engineering, and human resources

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

Read the complete report to uncover what organizations achieving real AI transformation are doing in another way.

AI RESEARCH

🧠 McKinsey’s 2025 AI reality check

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 small print:

• The survey found that 88% of corporations 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 corporations expect workforce reductions of three% or more next 12 months, while 13% expect increases. Larger firms usually tend to predict cuts.

Why it matters: The important thing lesson comes from the high performers — the few seeing real bottom-line impact from AI. Their success shows that the true 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

🛠️ Trending AI Tools

• ⚡️ 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

📰 All the pieces else in AI today

Google introduced the File Search Tool, a totally managed RAG system that gives an easy, integrated, and scalable strategy 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 latest 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 12 months, but 1 in 6 expect AI to cut back headcount — some by over 10% — amid the weakest hiring outlook for the reason that 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

🤝 Community AI workflows

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 supply HTML templates for promotion pages, listing the parameters needed reminiscent of deal name, usual price, promotional price, discount %, image link, and link URL. Then I upload an Excel file with columns of parameters for every deal, and paste the output HTML into the source code of the promotion pages.”

How do you employ AI? Tell us here.

🎓 Highlights: News, Guides & Events

• Read our last AI newsletter: China’s open-source AI closes the gap

• Read our last Tech newsletter: Musk wins $1T pay package

• Read our last Robotics newsletter: Rivian spins off robotics startup

• Today’s AI tool guide: Get essentially the most out of ChatGPT’s Deep Research

• Watch our last workshop: AI Foundations for Marketers

See you soon,

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