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- Company apologizes after AI Agent invents a corporate policy
Company apologizes after AI Agent invents a corporate policy
Also, improve how you work by having conversations with AI
Welcome back, HyperAgent. The world is moving fast; it is up to us to keep updated with the latest news and trends. But it's also up to you to keep yourself educated on how to work with the latest news and trends. This week, we explore how you can use how you can talk to AI to improve your everyday work and growth.
Today’s Insights
In the future, “humans are never smarter than AI” - TED2025 interview with Sam Altman from OpenAI
Microsoft’s Copilot controls your computer - is RPA doomed?
Having a conversation with AI helps you prepare better or write better reports
AI can talk you through your social media content
Beware of fake policies, AI Agent “invents” corporate policy while talking to user
AI FOR INSURANCE PROFESSIONALS THIS WEEK
In the future, humans are never "smarter than AI"
During a TED2025 interview, Altman, whose company boasts 500 million weekly active users, emphasized that AI development is following an "unbelievable exponential curve" that will continue far beyond current capabilities. Rather than fixating on when Artificial General Intelligence (AGI) might arrive, he urged focus on preparing for increasingly capable systems.
AI will revolutionize scientific discovery, with meaningful progress against diseases coming soon, though physics breakthroughs may take longer.
Software development will undergo another transformation "in the coming months" as agentic systems emerge, compressing years of work into days.
Third, AI assistants will evolve from chat interfaces to proactive companions that learn about users over lifetimes, becoming true "extensions of ourselves."
While painting an optimistic picture of "incredible material abundance," Altman acknowledged significant challenges ahead, including potential misuse for bioterrorism, and cybersecurity vulnerabilities. Altman predicted a world where humans are never "smarter than AI" and future generations look back at us with "pity and nostalgia" for our limitations—a vision equal parts promising and unsettling for today's business leaders charting their AI strategies.
Career Implications for insurance professionals
Skill transition: You will likely need to shift from processing-oriented tasks to oversight, exception handling, and relationship management as AI handles routine underwriting and claims processing.
New specializations: Opportunities will emerge to specialize in AI-insurance integration, ethical oversight of algorithmic decisions, and designing human-AI collaboration frameworks.
Customer experience focus: With administrative tasks automated, you can differentiate yourself through empathy, complex problem-solving, and building trust—human qualities that Altman's interview suggests will remain valuable.
Microsoft’s Copilot is taking control over your computer
Microsoft’s new “computer use” feature in Copilot Studio could soon reshape how we approach automation in insurance. Instead of needing explicit integrations, AI now directly interact with almost any software—clicking, typing, and navigating just like a human user. This bridges a major gap, enabling automation in legacy systems without extensive IT overhauls, making processes quicker and easier for everyone involved.
Your role might soon focus more on critical judgment, customer service, and exception handling rather than repetitive admin work. Claims adjusters can manage complex cases, underwriters can better assess risks, and operations teams can shift towards strategic AI governance. But it also means new skills are becoming essential—prompt crafting, digital oversight, and AI risk management will soon be part of your daily toolkit.
Microsoft’s move accelerates the blending of RPA and conversational AI, opening the door to smarter, more intuitive automation across the insurance industry.
CUTTING-EDGE AI
Did ChatGPT o3 reach AGI? Tyler Cowen states that o3 “Basically it wipes the floor with the humans, pretty much across the board.” - here’s three key-takeaways for insurers based on query on the impact of Trump’s tariffs on the insurance industry (you can see the entire chat here):
Tariffs behave like a man‑made catastrophe, cutting across multiple specialty lines at once
Trade credit sees the first wave of claims through buyer defaults; political risk and contingent BI follow as retaliation and supply‑chain delays unfold
Active portfolio steering, tighter wordings and real‑time supply‑chain data are essential to keep loss costs in check
Monitoring tariff announcements—and the retaliatory measures they spark—has therefore become a core competence for global carriers writing credit, political risk, marine and BI covers.
What is “o3” again? OpenAI o3 is the latest advanced AI model that marks a big step toward artificial general intelligence (AGI). It shows much stronger reasoning, problem-solving, and adaptability than earlier models.
Why o3 Is Special
High Reasoning Ability: Excels at complex tasks like math, coding, and logical puzzles.
Top Benchmark Scores: Achieved about 88% on the ARC-AGI test, beating the human average of 85%. This test measures how well AI can generalize to new problems.
Autonomous Tool Use: Can independently decide when and how to use tools like web search or code execution to solve problems.
Self-Checking: Verifies its own answers to improve accuracy.
Close to AGI: While not true AGI yet, o3’s flexibility and generalization are the strongest seen so far.
OpenAI o3 is a breakthrough model showing human-level performance on general intelligence tests and advanced problem-solving skills, making it the closest AI to AGI to date.
THE INSURANCE AI ACADEMY
This simple method turns the AI into a thinking partner—helping you break down big, unclear tasks into manageable conversations. Whether you’re writing for internal teams, external partners, or system vendors, it’s a practical way to move from idea to outcome.
The trick is to engage in a longer conversation with the large language model (LLM). You have to focus on asking it to ask you questions until the LLM feels that the topic has been exhausted, and you can move on to the next question.
Here’s how to use it effectively:
Step 1: Define your purpose
Start by telling the AI what you’re trying to achieve. You can even ask it to help you refine your thinking.
🟢 Example prompt:
“I need to write a [Insert topic or task you want assistance with]. Can you help me clarify the purpose first by asking me a few questions about what this document is for and who it’s for? Ask one question at a time and continue asking questions about the specific topic until you feel you have sufficient information to move on.”
This step ensures the AI understands the goal, the audience, and the outcome you’re aiming for.
Step 2: Let the AI guide the discovery—one question at a time
Once the purpose is clear, ask the AI to lead the process by asking you one question at a time about what needs to be included.
🟢 Example prompt:
“Now, please guide me to uncover all the details we need to complete this task. Separate the task into multiple subsections and ask me one question at a time per subsection until you feel you have sufficient knowledge about that subsection and then move on to the next topic or subsection. Make sure that you only ask me one question at a time until you feel the content has been exhausted.”
You’ll find it easier to focus on each part of the task—without the pressure of structuring everything yourself. Just answer naturally, and the AI will keep asking until the topic is fully explored.
Step 3: Ask the AI to generate the document
When you’ve answered all the questions and the key details are in place, it’s time to put it all together.
🟢 Example prompt:
“Please summarize the entire content we have created into one draft document.”
You’ll receive a structured, coherent output based on your input—ready to review, refine, or share.
PRO TIP: Use the voice conversational mode for an even more engaging discussion!
YOUR CAREER, YOUR FUTURE
Social media mania: Thinking about creating a blog or increasing your presence on social media? This tool will help you through conversational AI generate content for just that. Check it out.
Distro offers a frictionless way to create social media content. Simply start a session, select a topic relevant to your insurance expertise, and have a natural conversation with Distro's AI agent. The system records your insights and automatically transforms them into ready-to-publish social posts—no writing required. Within minutes of ending your conversation, Distro provides both short-form and long-form content options based on your best ideas.
After reviewing the AI-generated drafts, you can immediately publish to Twitter or LinkedIn with a single click, or make quick edits if needed. This streamlined approach makes consistent social media posting achievable even with packed schedules.
PRODUCTIVITY TOOLS AT HOME AND AT WORK
📊 Extract tables from anything. Instantly extract tables from PDF and images or other files into Excel, CSV, JSON, or just copy it to your clipboard and save yourself hours of manual work: https://www.tablextract.io/
🖥️ Great presentations in no time: Gamma.app is a tool that uses AI to help you create structured presentations, documents, or web pages from simple prompts It removes the need for design or formatting work by handling layout and visuals automatically. The platform is useful for turning rough ideas into polished, shareable formats with minimal effort.
🤖 AI tools made simple: Nily AI makes it easier to get started with large language models like ChatGPT. It offers task-specific assistants—like summarizers, writers, and translators—so there’s no need to learn complex prompts.
The platform removes common barriers like tool-switching or figuring out how to talk to AI. It guides users with structured inputs and supports multiple AI models, offering flexibility without overwhelming complexity. It’s a practical entry point for anyone looking to boost productivity with AI.
PROMPT OF THE WEEK
Preparing for a job interview
Prompt: Act as a senior hiring manager in [insert industry or role — e.g., software engineering, marketing, finance] and help me prepare for an upcoming interview for a [insert job title] position. Ask me 8–10 realistic and challenging interview questions based on the job title, including both technical and behavioral ones. After each question, evaluate my answer for clarity, structure, and impact — and suggest improvements if needed. Also, give me tips on how to improve my delivery, body language, and confidence. Based on the job role, share common red flags candidates often trigger and how I can avoid them. Finally, provide one polished, high-impact version of my answer to the “Tell me about yourself” question that ties my background directly to the role I’m applying for.WHAT’S TRENDING
🌍 Use ChatGPT o3 for location search: Show the new o3-model a picture of a location and it will find the exact place on Earth. Can be useful for risk assessment and claims investigations. It has sparked concerns about privacy.
🤦🏼♂️ Watch out for hallucinating customer service AI agents: Company apologizes after AI support agent invents policy that causes user uproar. When a user contacted support, an agent named "Sam" told them it was expected behavior under a new policy that the AI Agent invented autonomously.
👩🏽🔬 You can now connect your Gmail, Calendar and Docs with Claude. And these new interations enable Claude’s take on deep research. With a new feature called “Research”, Claude can gather info from all these sources (including the web), reason over it and help you get work done. Research is only available for Max, Team and Enterprise accounts.
AI IMAGES OF THE WEEK
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