Best Of Product Roundup - May 9, 2026
The best expert-curated product content from the best product thinkers from around the Internet delivered twice a month.
Every two weeks, we dive into the vast ocean of product content online, both free and paid. We sift through it all to bring you the crème de la crème. Our round-up includes carefully curated links and concise excerpts from top content.
This week’s highlights feature:
Top 3 Long-Form Articles/Podcasts
Top 3 Tweets
Top 3 LinkedIn Posts or Short Videos
Our expert product team has selected these resources to help you save thousands of dollars on unnecessary subscriptions, avoid wasting time reading instead of taking action, and save years following the wrong advice. Our mission is to introduce you to brilliant product thinkers, whether they’re renowned experts or emerging voices.
In case you missed them, here are the recent posts from Emergent:
Top Long-Form Content
After “AI-First” Comes “AI-Only”
What we liked: A genuinely contrarian frame from someone with the operational receipts to back it up (98% of code AI-written, team shrinking while revenue triples). The “horseless carriage” critique of the word “AI” itself — and the pivot to “alien intelligence” — gives PMs and founders a sharper lens for redesigning workflows from scratch rather than retrofitting AI into human-shaped seats.
Choice quote: “’AI-first’ identifies a human-shaped vacancy and asks if a model can fill it… ‘AI-only’ asks why the chair exists at all.”
Product Thinking Isn’t Learned. It’s Developed.
What we liked: Simple and to the point. See title.
Choice quote: “You don’t need to become an engineer… You just need to ship small things, fast, and pay close attention to what happens. The tools have removed the building barrier. What remains is the willingness to put your bet in front of reality and let reality teach you.”
AI Won’t Make Your Company More Productive
What we liked: A highly skeptical but worthy read about why the enterprise isn’t reaping the AI rewards to the extent it expects.
Choice quote: “When an engineer saves 90 minutes using Claude, those 90 minutes don’t turn into 90 more minutes of shipped code. They evaporate. Into Slack. Into a longer lunch. Into “thinking time.” Into one more meeting that didn’t need to exist.”
Top Tweets
Most PMs are still using Claude like ChatGPT.
What we liked: A concrete, file-by-file framework for moving past prompt-pasting into AI-native PM operations. The five-file starter kit is exactly the kind of thing a PM can implement Monday morning, and the diagnosis of why generic Claude outputs fool people (”generic strategy with confident formatting”) will land with anyone who’s been quietly disappointed by their own results.
Choice quote: “The output is not bad because Claude is dumb. The output is bad because the PM gave it a pretend version of the job.”
What we liked: A war story for how to potentially deal with agent “rogueness.”
Choice quote: “Nine out of ten problems, people were trying to fix through prompting. We’ve kind of switched modes into more architectural agent changes.”
Performance is intelligence times context.
What we liked: A clean formula (Performance = Intelligence × Context) that reframes the enterprise AI moat conversation. The SAT-score analogy is a sharp way to puncture the assumption that benchmark wins translate to deployed value, and it gives PMs and founders a vocabulary for the work that actually matters.
Choice quote: “We’ve rebuilt our junkyard engine into a racecar turbine but the car is still stuck in the driveway.”
Top LinkedIn Posts & Short Videos
The New Constraint: Why AI Made Product Management Harder, Not Easier
What we liked: Cites Andrew Ng’s PM-to-engineer ratio shift (from 1:6 toward 1:0.5) and introduces the “blast radius of bad strategy” concept — when building is cheap, wrong-direction mistakes compound exponentially.
Choice quote: “AI didn’t replace the product manager, it removed our excuses. We can no longer blame slow engineering cycles for a lack of product-market fit.”
What we liked: PM-relevant lesson: judgment under ambiguity is what AI exposes, not what it replaces.
Choice quote: “AI gave me the average of the category. Experience brought the point of view.”
Navigating AI in Product Management: Why You Aren’t Becoming Outdated
What we liked: If you’re feeling overwhelmed by the rapid rise of AI and worrying about your skills becoming obsolete, you are not alone — but the fundamentals of product management have not changed.
Choice quote: “While the ‘why’ and ‘what’ of Product Management remain exactly the same, the ‘how’ is rapidly evolving.”
This article is brought to you by Productboard
Trusted by the world’s best product teams, Productboard turns customer needs into high-impact strategy in one end-to-end platform. With Productboard Spark, you can go from raw idea to polished product brief in seconds using AI that already understands your business.
See how Productboard Spark can help your product teams ship faster →
Solid curation. Especially the AI-first vs AI-only framing, that one line is going to stick with a lot of PMs
It feels like Productboard has abandoned its core product to focus solely on its new AI platform. While I understand the strategic logic behind the pivot, it makes paying for their dedicated tool much harder to justify. This is especially true now that you can handle the bulk of your PM workflows via Claude Cowork and other, more versatile AI platforms."