Snap CEO Evan Spiegel says AI is changing how companies build products, with most code now AI-generated and focus shifting toward growth, visibility, and user reach.
The way tech companies build products is shifting fast, and Evan Spiegel believes artificial intelligence is at the center of it. The CEO of Snap Inc. recently shared that AI tools are no longer experimental. They are already transforming how teams work, how products are developed, and where companies invest their time and money.
Spiegel’s comments reflect a growing industry-wide shift where speed, automation, and user reach are becoming more important than traditional development processes.
AI Coding Tools Are Taking Over Development Work
According to Spiegel, tools like Claude AI are deeply integrated into Snap’s workflow. He revealed that more than two-thirds of new code at the company is now written by AI systems.
This marks a major change in software development. Coding, which once slowed down product launches, is becoming faster and more automated. AI can now generate, test, and refine code at a pace that human teams alone cannot match.
Spiegel described this shift as rapid and impactful, saying that AI is transforming software development across every part of the organization.
Fewer Resources for Coding, More for Growth
As AI reduces the effort needed for coding, companies are starting to rethink how they allocate resources. Spiegel predicts that businesses will gradually move investment away from traditional software engineering roles and focus more on distribution.
Distribution here means getting products in front of users, building awareness, and driving growth. In today’s crowded digital space, simply building a great product is not enough. Visibility has become one of the biggest challenges.
Spiegel pointed out that gaining attention and traction is getting harder for brands. That makes marketing, communication, and growth strategies more valuable than ever.
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Attention Is Becoming the Real Bottleneck
One of the most important insights from Spiegel’s remarks is that attention, not technology, is now the limiting factor. Companies can build faster with AI, but reaching users is still difficult.
This shift changes how teams are structured. Instead of focusing heavily on engineering, companies may start building stronger teams around marketing, storytelling, and user engagement.
In simple terms, the challenge is no longer “Can we build it?” but “Can people find and use it?”
A Broader Trend Across the Tech Industry
Snap is not alone in this transition. Major companies like Amazon and JPMorgan Chase are also experimenting with AI to improve software development efficiency.
Across the industry, businesses are investing more in AI infrastructure while also strengthening their distribution channels. This signals a long-term shift in priorities, where speed of development and reach to users go hand in hand.
What This Means for the Future of Work?
Spiegel’s perspective highlights a future where AI plays a central role in product creation. Developers may spend less time writing basic code and more time guiding AI systems, solving complex problems, and improving user experience.
At the same time, roles related to growth, branding, and communication could become more important than ever. The balance between building products and promoting them is clearly changing.
As AI continues to evolve, companies that adapt quickly to this new model will likely move ahead faster in the race for user attention and market share.
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