{{first_name | Leader}}, welcome back. Today’s updates:
Optimize your GenAI workloads for performance and cost with AWS + nOps*
Amazon expands AI data center network in South Korea
OpenAI targets a “legitimate AI researcher” by 2028
Microsoft and OpenAI redefine their $135B partnership
Tools, resources, and a prompt to find which channels, messages, or customer segments are driving growth. ⬇️
Learn how leading teams at AWS and nOps are optimizing GenAI workloads with Amazon Bedrock.
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Thursday, November 6, 2025 | 11:30 AM – 2:00 PM PT
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Network with AWS leaders, nOps experts, and Bay Area cloud executives over lunch
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Benchmark and monitor performance in real time
Reduce infrastructure costs automatically
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Amazon Expands AI Data Center Network in South Korea
Amazon Web Services is investing $5 billion by 2031 to build new AI-focused data centers in South Korea, expanding its regional cloud footprint and aligning with the country’s plan to become Asia’s AI infrastructure hub. The new sites will support advanced analytics, gaming, and AI workloads for Korean enterprises, and add pressure to Microsoft and Google in the region’s cloud race.
This means more AI compute capacity across APAC: faster training, lower latency, and stronger local compliance. It’s another sign that the center of gravity for AI infrastructure is shifting east, with major players localizing data operations to capture the next wave of enterprise adoption.
OpenAI Targets a “Legitimate AI Researcher” by 2028
In a recent AMA, Sam Altman shared OpenAI’s goal to build a “legitimate AI researcher” by 2028, an autonomous system capable of running full research cycles on its own. By late 2026, OpenAI expects an “intern-level” assistant that can draft hypotheses and interpret experimental results, a move that reinforces the company’s focus on AI-driven scientific discovery.
If OpenAI pulls this off, enterprise R&D could change fast, from pharma to manufacturing, as early-stage experimentation becomes automated. It also opens new conversations around authorship, ethics, and regulation once AI starts contributing original research.
Microsoft and OpenAI Redefine Their $135 B Partnership
The update is that OpenAI and Microsoft have restructured their partnership, now operating under a public benefit corporation (PBC) model. Microsoft’s investment, valued at around $135 billion for a 27 percent as-converted stake, remains one of the largest equity relationships in tech.
This rebalances how AI power is shared across the ecosystem. Microsoft keeps its edge in infrastructure and deployment, but OpenAI gains independence in how it monetizes and distributes its models. I see this as a sign of AI partnerships maturing, where governance, interoperability, and choice start defining the next phase of the market.
Useful Resources
A new AI browser that lets you automate daily tasks through configurable “skills.”
Learn how to build custom ChatGPT agents with this step-by-step builder guide.
Slack explains the importance of customer data integration for unified, AI-ready teams.
Social Media Examiner outlines how to get your brand recommended by AI search systems.
Twilio shares how it uses its own AI builder to enhance customer conversations and service efficiency.
Get featured tomorrow: How do you use AI for business/personally? Interesting stories will be shared with 100K curious readers.
Productivity Tools
CodeRabbit CLI: Brings instant code reviews directly to your terminal, seamlessly integrating with AI coding agents.
My Ask AI - Helps to save your team time with instant, conversational answers to any customer question about your product.
Which of these tasks is LEAST suited for AI automation?
💰 Funding
Mercor raised $350M to reshape how people work by building an AI-powered talent and workflow marketplace.
Onfire raised $20M to create a vertical AI platform designed for IT revenue and go-to-market teams.
💼 Roles in AI
🐦 Build a Voice Agent in 4 mins
Watch how he built a voice agent that reads your Slack updates (in 4 mins)
— #Aadit Sheth (#@aaditsh)
5:00 PM • Oct 28, 2025
Go to Market Optimizer
When to use this?
When you need to find which channels, messages, or customer segments are driving growth.
You are a Go-to-Market Strategy Advisor.
Review the campaign and deal performance data I’ll paste below.
Identify:
Top-performing channels and messages driving pipeline.
Underperforming areas wasting spend or slowing deals.
Customer segments with highest conversion potential.
3 clear actions to improve next-quarter GTM strategy.
Output format:
| Channel / Segment | Performance Summary | Key Insight | Recommended Action |Correct Input Style:
“Here’s our Q3 data summary: campaign name, leads generated, pipeline created, conversion %, and CAC by channel (LinkedIn Ads, webinars, outbound email, events, referrals).”
(Paste a short table or bullet list — 10–15 rows max for clarity.)
P.S. Get more such prompts in the Prompting Playbook (free for you)
Q. Which company developed an AI that cut data center cooling energy by 40%?
Correct Answer: Google. DeepMind AI Reduces Google Data Centre Cooling Bill by 40%
Stay curious, {{first_name | leaders}}
PS. If you missed yesterday’s issue, you can find it here.