Right to Repair Meets Software: What Founders Should Learn

The FTC's settlement with John Deere over right-to-repair practices is making headlines, and for good reason. It represents one of the most significant regulatory acknowledgments that the companies selling complex, software-dependent hardware cannot indefinitely lock customers out of maintaining and modifying what they've purchased. But if you're a founder building a software product, an AI platform, or a connected device, the implications stretch far beyond tractors and agriculture.

This is a product strategy story. And the founders who understand it early will build more resilient, more trustworthy, and ultimately more valuable companies.

The Core Shift: Software-Locked Products Are Under Scrutiny

For years, the trend across industries has been clear: embed software into everything, then use that software layer to control the entire product lifecycle. Restrict diagnostics. Gate repairs behind authorized service networks. Make the product functionally dependent on vendor-controlled systems. John Deere became the poster child for this approach in agriculture, but the same model has been replicated in consumer electronics, medical devices, automotive, and enterprise SaaS.

What the FTC settlement signals is that regulators are catching up. The argument that proprietary software justifies total vendor control over a physical product's maintenance is losing ground. And while this specific case involves heavy machinery, the regulatory momentum is clearly building toward any product where software is the mechanism of lock-in.

For founders, this isn't a reason to panic. It's a reason to think more carefully about how you architect your product and your business model from day one.

Why This Matters for Software and AI Product Builders

If you're building a SaaS platform, an AI-native product, or anything that connects to hardware through software, the right-to-repair movement asks a fundamental question about your product philosophy: are you building value through genuine capability, or through control?

The distinction matters. Products that derive their competitive advantage from superior functionality, better AI models, faster iteration, and real user value tend to retain customers through merit. Products that retain customers primarily because switching or self-servicing is architecturally impossible are the ones that regulatory bodies—and increasingly, customers—are pushing back against.

The founders who win long-term are the ones who build products customers choose to stay with, not products customers can't escape from.

This is especially relevant in the AI space. As AI becomes embedded in more products—from predictive maintenance systems to autonomous operations platforms—the question of who can access, modify, and understand the AI-driven decision layer will become a major point of contention. If your AI model drives critical business decisions for your customers, what happens when they need to audit it, adjust it, or integrate it with other tools? Designing for that openness from the start is both a competitive advantage and a hedge against future regulation.

Architectural Decisions That Future-Proof Your Product

The right-to-repair movement has practical implications for how you build software. Here are the architectural and strategic principles that forward-thinking founders should consider:

1. Design for Interoperability, Not Just Integration

There's a difference between offering a curated set of integrations and building a product that plays well with the broader ecosystem by design. APIs should be robust and well-documented, not afterthoughts. Data formats should be open where possible. If your platform touches hardware or IoT devices, consider what independent repair and maintenance look like and build accordingly.

2. Separate Value Creation from Value Capture

Your business model should be defensible without relying on artificial lock-in. If the only reason customers stay is because their data is trapped or their hardware won't function without your cloud service, that's a fragile moat. Invest instead in features, performance, and intelligence that genuinely justify the subscription or licensing fee.

3. Build Transparency into AI Systems

As AI regulation evolves globally, explainability and auditability are becoming table stakes. Build logging, monitoring, and interpretability into your AI pipelines from the beginning. This isn't just about compliance—it's about building trust with enterprise customers who increasingly demand it. At IDG, when we build AI-native products and data platforms, we treat transparency and modularity as core architectural requirements, not nice-to-haves.

4. Think About the Full Product Lifecycle

What happens when a customer churns? What happens when your company pivots? What happens when a device you've connected reaches end-of-life? The right-to-repair ethos pushes builders to think about graceful degradation, data portability, and long-term serviceability. These are the hallmarks of mature product engineering.

The Opportunity for Founders Who Move First

Here's the counterintuitive insight: right-to-repair and openness principles don't weaken your product—they can strengthen your market position. Customers, particularly in B2B and enterprise contexts, are increasingly evaluating vendors on data portability, interoperability, and long-term flexibility. Being the company that proactively offers these things is a powerful differentiator, especially against incumbents who have built empires on lock-in.

For startups entering markets dominated by closed ecosystems, this is an opening. If the incumbent's moat is control rather than capability, the regulatory tide is now working in the disruptor's favor. Build the better product, make it open, and let the regulatory environment do some of your competitive work for you.

We've seen this pattern play out across the projects we've delivered—founders who prioritize sound architecture and genuine product value from the start consistently outperform those who try to engineer lock-in and retrofit openness later.

The Bottom Line

The John Deere settlement is a landmark moment, but it's not an isolated one. It's part of a broader and accelerating shift toward product openness, customer autonomy, and regulatory scrutiny of software-driven lock-in. For founders building the next generation of software, AI, and connected products, the message is clear: build for value, build for transparency, and build for the long term.

The companies that treat these principles as foundational—not as compliance checkboxes—will be the ones that earn lasting customer trust and build durable businesses.

If you're a founder thinking through how to architect a product that's both defensible and forward-looking, we'd love to talk. At IDG, we help VC-backed teams build software, AI platforms, and connected products that scale—without cutting corners on the decisions that matter most.