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In this 40th edition, (wow, 40 already, thank you for the support) I will share :
The new massive investment in AI from the USA! 💰
The AI research tool to do deep research- for free. 🤓
Happy reading!
News of the week. 📰
The USA goes all in on Artificial Intelligence. 💰
On Jan 21, 2025, President Donald Trump announced Project Stargate, a major AI infrastructure initiative for the U.S. with a massive private investment.
The project brings together OpenAI, Oracle, SoftBank, and MGX. It promises to invest up to $500 billion and create 100,000 jobs.
The ambition is to outpace competing countries like China in the AI race.
For context, Project Stargate’s budget exceeds Norway’s GDP. 🤯
Project Stargate:
Investment: Starting with $100 billion in 2025, scaling up to $500 billion by 2029.
Partnerships: Led by OpenAI, Oracle, SoftBank, and MGX, with support from Arm, Microsoft, and Nvidia.
Infrastructure: Plans to build multiple data centers, beginning with a 1-million-square-foot facility in Texas already in the works.
Jobs: Expected to create over 100,000 jobs, pushing economic and technological growth.
Why it matters
We cannot pretend AI is just a trend anymore (like the metaverse, NFT…).
With its $500 billion investment, this project marks a turning point for businesses.
Companies that don’t adopt AI in some way risk falling behind.
Ignoring AI (either to build features, or to improve your work) can slow development, waste resources, and cost market opportunities.
Competitors will move faster in a global race, and capture demand.
Product teams need to level up now or risk becoming irrelevant.
Key areas of focus:
AI is here to stay. It is shaping the future of work.
Product managers who adapt to these changes will keep their companies ahead.
Are you ready?
You don’t want to be left behind, and need help to train your Product team to use AI?
Check out our AI training offer for Product teams.
Actionable modules and practical exercises tailored for Product teams’ tasks.
Leverage AI and see instant results to increase productivity.
Book a call to define your tailored training plan and empower your team to master AI.
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Cut research time by 75% with this AI tool🤖
"Research is what I'm doing when I don't know what I'm doing."
Wernher von Braun
✅ PMs spend days on manual research gathering deep insights.
✅ Teams face decision delays from misaligned stakeholder expectations.
✅ Use AI to synthesize research from 50+ sources in minutes.
✅ Enable AI role-play for stakeholder alignment and decision visualization.
Product teams are expected to make quick, informed decisions while getting a comprehensive view of all the details around a topic.
Let’s be honest—it's not always that easy to do.
Traditional research methods are slow, scattered, and involve a lot of manual work.
Thanks to AI, it’s much easier to get research insights quickly.
As we shared in previous editions on this topic:
But sometimes, you need to dig deeper for strategic features or key decisions.
Or when you need to tackle technical documentation topics, you want academic well-sourced insights.
But, in all honesty, who has time for that nowadays, when you spend 8+ hours in meetings daily ?😅
Have you ever been in this situation:
spending days compiling a thorough competitive analysis…only to find out your competitor has pivoted.
walking into a high-stakes meeting where every stakeholder has a different opinion you had not anticipated. The talk goes in circles, decisions get delayed…
Once again, AI to the rescue
Beyond Perplexity, ChatGPT search, I recently encountered a platform that will :
✅ Speed up deep research – No more manual data gathering.
It focuses on academic research papers and uses various agents to craft the output.
✅ Align your team faster – Role-play conversations to get everyone on the same page, with expert-level AI bots. Practice and anticipate objections.
✅ Simplify decision-making – Understand and visualize trade-offs with mindmaps. Make complex decisions and concepts much clearer.
Let’s see what it looks like.
You are a senior Product Manager at Calendly.
The company is considering the opportunity to build an AI scheduling agent.
1) Run a deep research in 5 minutes
Your boss want to learn about the latest trends in scheduling automation, and assess technical considerations for building AI agents.
From a simple topic like “scheduling automation trends for 2025”, the platform generates a detailed long-form document with sources. See the extract below:
2) Simulate a prioritization meeting
It gets even better.
Have a deep collaborative conversation on a topic with AI-generated experts in various fields.
You are holding a stakeholder meeting to discuss if we should prioritize an AI scheduling assistant or prioritize improving meeting scheduling reliability to reduce no shows?
Start a conversation on the topic, add your insights and questions.
Get new perspectives from different roles.
Now let me show you step-by-step how you can use the platform. 👇
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