Jobs Answered the 'Loyal User Betrayal' Problem in 1997

AI companies are alienating their most loyal users at an alarming rate — and a 28-year-old Steve Jobs clip explains exactly why this keeps happening and how to fix it. From OpenAI's shifting subscription tiers to Google's feature deprecations, the pattern of 'backstabbing' early adopters has become an industry-wide epidemic.

In 1997, a freshly returned Jobs faced a hostile question at WWDC about killing a beloved technology. His response has become legendary: 'You've got to start with the customer experience and work backwards to the technology.' That single sentence contains the antidote to the loyalty crisis plaguing today's AI industry.

The Modern Betrayal Playbook

Early adopters are the lifeblood of any tech product. They tolerate bugs, evangelize unfinished features, and pay premium prices when the product has the least value. Yet AI companies routinely reward this loyalty with what feels like punishment.

Recent examples of loyal-user friction include:

• OpenAI restructuring ChatGPT Plus limits and pushing users toward the $200/month Pro tier
• Google deprecating popular Bard features during the Gemini rebrand
• Adobe updating terms of service in ways that alarmed creative professionals
• Stability AI shifting licensing terms that impacted existing commercial users
• Apple Intelligence rolling out features that require the newest — and most expensive — hardware

The pattern is consistent: build a user base, then restructure in ways that extract more value from those who already committed.

Why Jobs' 1997 Answer Still Matters

Jobs' insight wasn't about being 'nice' to customers. It was a strategic framework. He argued that great companies don't start with engineering capabilities and then figure out how to sell them. They identify what experience the user needs, then build the technology to deliver it.

Today's AI companies often do the opposite. They build increasingly powerful models, then retrofit pricing and access structures around compute costs — not user needs. When GPT-4 costs more to run, the instinct is to pass that cost to users or restrict access, rather than rethinking the experience.

This technology-first approach is exactly what Jobs warned against. The result is a growing trust deficit between AI companies and their earliest supporters.

The Trust Deficit Has Real Consequences

User churn in AI products is already staggeringly high. According to multiple industry analyses, most AI apps lose over 70% of users within 90 days. Alienating the loyal minority who actually stay makes this problem exponentially worse.

Loyal users don't just pay subscriptions — they create content, build workflows, and train colleagues around specific tools. When a company changes the deal, these users don't just lose a feature. They lose an investment of time and trust that no discount code can restore.

The open-source AI movement has been a direct beneficiary. Every time a proprietary platform frustrates its base, projects like Llama, Mistral, and Stable Diffusion forks see spikes in community engagement.

What 'Starting With the Customer' Looks Like in AI

Applying Jobs' framework to the current AI landscape means several concrete shifts:

• Grandfather pricing for early adopters instead of forcing migrations to expensive tiers
• Transparent roadmaps that give users time to adapt before features disappear
• Modular pricing that lets users pay for what they actually use rather than bundled packages designed to upsell

Some companies are getting this right. Anthropic has maintained relatively stable API pricing on Claude while improving capabilities. Midjourney has kept its core community engaged through Discord-native development. These aren't acts of charity — they're strategic decisions that recognize long-term value.

The Bottom Line for AI's Loyalty Crisis

Jobs understood something that many AI CEOs have yet to internalize: technology without trust is worthless. The most powerful model in the world means nothing if users don't believe the company will honor its commitments.

The AI industry is still young enough to course-correct. But the window is narrowing. As open-source alternatives mature and switching costs drop, the companies that treat loyal users as assets — rather than captive revenue — will be the ones that survive the inevitable shakeout.

Jobs' advice from 1997 isn't just a feel-good quote for LinkedIn posts. It's a survival strategy. And in 2025's hypercompetitive AI market, ignoring it is a risk no company can afford.