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My favorite weekly finds

🛠️ Tools

• Google Labs actually has a lot of tools in its Experiments page now—like tools that write your code, edit your photos, create videos, and make music.

• Use Brainnote as an AI thought organizer to summarize your ideas in seconds

• Qwen 2.5, Alibaba’s rival to DeepSeek, has a chatbot you can use to try it out

• EpicTopia creates personalized action plans and tracks your progress in work, life, and personal goals.

• TabBoo deters you from distracting websites with random jump-scares—here’s a demo; it’s not that scary, we promise!

• Try DeepSeek for Join us for a beginner-friendly session with one of our top AI YouTubers, Corbin Brown

📰 Intelligent Insights

• IBM plans to cut by 2025, the company aims to save $3.5 billion by cutting jobs and reallocating funds to AI projects, targeting $5 billion in AI revenue.

• China has made a lot of progress in overlapping industries like AI, drones, lidar, robotics, and batteries, which forms a mutually reinforcing feedback loop.  

• This is a great read on AI art and the creative process, emphasizing the need for computers to enhance our desired work, highlighting that the struggle is essential.

👀 ICYMI

• A Product Manager's Guide to Time Management (Listen or read)

• How to Create a Team That Owns Every Outcome (Listen or read)

• Leading Through Uncertainty: Key Strategies (Listen or read)

Deep dive: AI Won’t Take Your Job—But It Will Change It

Why should I care?

A friend argued that AI will replace most jobs. I disagree. AI isn’t taking over—it’s assisting us in new ways.

I’ve built products for years, and one thing is clear in this space: progress isn’t linear. The 80-20 rule applies—getting AI to be 80% good is easy, but closing the final gap is exponentially harder.

Yes, AI outshines humans in specific tasks—matching faces, summarizing reports, spotting diseases.

But there’s a huge difference between helping with a job and replacing a human.

Think cruise control—useful, but you’d never remove the brake pedal.

So, should you worry? No. But you should adapt. AI will automate simple tasks, pushing us toward higher-value work.

The real risk isn’t losing your job—it’s not learning how to work with AI.

If you’re using AI to fully replace something, you need it to be flawless. But if it’s just there to assist, the bar is much lower.

1- 80% AI vs. 100% AI—A World of Difference

Now, swap “AI” for your product. The value it delivers depends on what your customers need. Some products only work if they’re perfect.

Others provide most of their value early on. Some have a ceiling, while others can keep compounding value over time.

Value isn’t always linear. Does your product need to be 100% to matter, or does 80% already change the game?

Let’s dive in.

2- Pick Your X-Axis Wisely

To map your product’s value curve, imagine a graph:

• Y-axis = Value your customers get

• X-axis = The factor that affects that value

Your X-axis choice matters. It shapes the questions you can answer. Here are three key options:

• 1️⃣ Quality – How well does your product do its job? Helps with MVP decisions and where to invest next.

• 2️⃣ Quantity – How does value scale? More users, more usage, more categories? This impacts growth strategy.

• 3️⃣ Time – Does value increase the longer customers use it? Key for retention and lifetime value.

Run this analysis with different X-axes to get a full picture of how your product delivers value like the one below.

3- Sketch the Curve

With your axes set, it’s time to draw the value curve.

Forget exact numbers—we’re looking for the big picture.