Is AI spend actually delivering value? 🤖 I’m seeing a fascinating shift where some teams ship 60+ PRs weekly while others focus on triaging customer issues in minutes rather than days. But the ROI remains elusive for many. High-growth teams are now spending upwards of $3,000 per dev monthly on...

AI won't save you from poor product fundamentals. Jeff Patton explains why faster shipping often leads to bigger failures if we ignore outcomes. Use AI to amplify your judgement, not replace the hard work of discovery.

Anthropic is a leading indicator for the future of work. Their data shows AI agents now outwork humans 6:1, shifting hiring from technical execution to autonomy and judgment. Fascinating to see human attention become the ultimate bottleneck. Explore the full report: https://www.anthropic.com/res...

Why do AI pilots stall in production? It’s rarely the model; it’s the readiness of your data and ownership. Explore why context, not quality, is the new differentiator and how to avoid AI becoming the next shadow IT.

Managing technical teams requires a shift from solving code to aligning vectors. Matt Gjertsen shares a brilliant "Minimum Viable Manager" roadmap: build trust, set expectations, and master feedback. It is simple, but never easy. Learn how to lead effectively: https://www.infoq.com/podcasts/buil...

AI agents like Meta’s Muse are flipping the script on discovery and purchasing. When bots negotiate on behalf of humans, who truly owns the relationship? This HBR piece explores the friction between AI and retailers.

Stop chasing time-savings. This report reveals that real AI ROI comes from redesigning workflows and measuring growth, not just efficiency. To scale, we must move from experiment to integration with clear ownership.

As shipping features becomes cheaper with AI, the cost of picking the wrong ones skyrockets. I’ve always believed strategy is about the power to say no; Tim Herbig explains how to make those choices stick and measure what actually matters.

Ten years on, the "Feature Factory" concept remains a pivot point for product teams. John Cutler's latest retrospective reminds us that work isn't a binary choice between outputs and outcomes—it’s a messy continuum. We often get trapped in "outcome theatrics" or over-hiring PMs without fixing th...

Pressure to be "AI-first" often creates chaos. I find the Lean Strategy Canvas essential for cutting through the noise. It aligns teams on goals and obstacles in just one afternoon. Sharpen your strategic hypothesis and metrics here: https://jeffgothelf.com/blog/the-lean-strategy-canvas-a-focusin...

AI adoption isn't just a tech upgrade; it's a delicate human dance. Without a clear narrative, teams drift between FOMO and friction. Real transformation requires storytelling that unites every level of the org. Bridge the AI divide with this framework: https://www.duarte.com/blog/change-communic...

The shift from seats to usage-based pricing in AI isn't just a trend; it's a fundamental pivot in how we deliver value. Kyle Poyar explores the complexities of credits, outcomes, and sales incentives in this evolving landscape. Master the AI monetization debate: https://www.growthunhinged.com/p/...

In a matrix, the org chart is often a lie. Real power lies with those who can actually affect outcomes, not just those with the titles. This guide on power mapping is a masterclass in navigating informal influence and adaptive capacity.

Is a happy team a high-performing one? Many leaders mistake psychological safety for "never feeling bad," but true safety is about enabling the discomfort of learning and accountability. Performance defines team success, not just mood.

AI tools boost speed, but what about the long-term cost? James Shore offers a brilliant deep dive into measuring AI’s unintended consequences, from maintainability to burnout. I particularly value his take on tracking "Value-Add Percentage" to spot hidden muda. Check it out: https://www.jamessho...

Is anthropomorphising AI a safety risk? Training models to act as if they have feelings creates a dangerous circular loop that complicates alignment. We must treat AI as a tool, not a "moral patient". Explore this vital critique on model welfare: https://mustafa-suleyman.ai/a-warning-about-model-...

True product automation needs speed. TypeSafe AI's new Jev model delivers ultra-fast, structured decisions without hallucinations, unlocking massive scale efficiency. Explore the full technical breakdown here: https://typesafe.ai/blog/introducing-system-one-models-and-jev #AI #ProductTech

Aligning product outcomes with business strategy is often where the best ideas stall. With AI accelerating digital delivery, this connection is now critical for growth. This piece explores the Strategy Stack to bridge that gap.

Is AI killing the product trio? I’ve noticed a shift where PMs, designers, and engineers are building faster but in silos. This insightful panel explores the "single-player" AI trap and the hidden cost of technical debt.

AI is removing the "positive friction" that forces us to think, prune, and judge. While automation feels like a win, losing that human synthesis risks creating a hollow product process. We need to be deliberate. Check out John Cutler's brilliant take: https://cutlefish.substack.com/p/tbm-441-ai-t...

Rich Mironov nails it: AI might speed up code, but it doesn't automatically scale revenue. As delivery cycles shrink, our role shifts toward deep discovery and commercial strategy. Success now demands better judgement, not just more features.

Toyota’s material and information flow logic is a masterclass in seeing the system. This piece explores how AI-powered "Digital Brains" now reveal the invisible bottlenecks that workshops miss. Crucial for scaling Lean thinking. Connect the dots here: https://nigelthurlow.com/ai-workflow-bottlen...

Measuring AI agents is easy; measuring human value is hard. Jeff Gothelf warns against replacing customer goals with machine metrics. Success isn't API calls, but the trust of the person deploying the agent. Shift your OKRs to the humans in the loop: https://jeffgothelf.com/blog/how-to-write-an-o...

Balancing rapid innovation with governance is a vital tech challenge. Dario Amodei's insights on pacing AI capability growth to ensure safety guardrails keep up resonate deeply. Explore his pragmatic framework for global alignment: https://darioamodei.com/post/we-must-pace-the-frontier #AISafety...

How close are we to recursive self-improvement? I’ve been digging into this deep dive with researchers from Thinking Machines, Zyphra, and Baseten. We explore whether AI bottlenecks are technical or simply a lack of high-quality environments. Explore the frontier: https://www.dwarkesh.com/p/john...

AI might lower the cost of a single feature, but production-quality product remains hard. Teresa Torres and Petra Wille debunk the "free delivery" myth, exposing the risks of feature bloat and technical debt. Discover why the last 30% is where the real work happens: https://www.producttalk.org/de...

AI isn't creating new management problems; it's exposing old ones. Most teams fail to see ROI because they automate undefined processes without a baseline. We must shift from tracking tool adoption to measuring business outcomes and decision speed. Apply these five questions: https://barryoreill...

AI tool gains mean little if your operating model is broken. Silos act as a tax, absorbing speed gains through handoffs and coordination debt. Real ROI requires moving from functional silos to cross-functional team topologies.

AI tools are evolving from simple chat interfaces into structured operating systems for product work. This guide shows how to turn recurring tasks into reusable 'skills' while keeping human decision-making at the core.

AI can double engineering output, but at a massive cost in tokens and slop. We must look past anecdotal "vibes" and measure real ROI, not just lines of code. This guide by James Shore is a must-read for quantifying actual impact. Check it out: https://www.jamesshore.com/v2/blog/2026/are-you-gett...