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The Tech Diff > Blog > Technology > “Consumer AI Startups: VCs Explain Their Lack of Endurance”
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“Consumer AI Startups: VCs Explain Their Lack of Endurance”

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Last updated: December 16, 2025 6:15 am
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“Consumer AI Startups: VCs Explain Their Lack of Endurance”
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The State of Consumer AI Startups: Analyzing the Current Landscape

Even three years after the generative AI boom started, most AI startups are still making money by selling to businesses, not individual consumers.

Contents
The State of Consumer AI Startups: Analyzing the Current LandscapeExpert Insights on the Decline of Specialized ApplicationsA New Era for Consumer AI?The Search for a New DeviceAlternative Consumer AI Solutions

The rapid adoption of general-purpose large language models (LLMs) like ChatGPT is a testament to the potential of AI technologies. However, specialized consumer applications in the generative AI space have struggled to gain traction. This phenomenon raises significant questions about the future of consumer AI startups.

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Expert Insights on the Decline of Specialized Applications

Chi-Hua Chien, co-founder and managing partner at Goodwater Capital, addressed these concerns during a recent panel at TechCrunch’s StrictlyVC event. He noted that many early AI applications in video, audio, and photo spheres initially generated excitement but lost momentum as competitors like Sora and Nano Banana emerged. The rapid open-sourcing of video models in China contributed to the dilution of many lucrative opportunities.

Chien draws a parallel between early AI applications and the simple flashlight app, which gained immense popularity shortly after the iPhone’s launch in 2008 but was swiftly integrated into the iOS ecosystem. He suggests that, similar to the evolution of smartphone applications, the AI landscape may require a phase of stabilization before truly transformative consumer products can emerge.

A New Era for Consumer AI?

Chien indicated that we might be on the brink of a transformative period akin to mobile’s evolution around 2009-2010, which witnessed the rise of giant consumer platforms like Uber and Airbnb. With advancements such as Google’s Gemini achieving technological parity with ChatGPT, the potential for groundbreaking consumer applications may soon materialize.

Elizabeth Weil, founder and partner at Scribble Ventures, reinforces Chien’s observations, describing the current landscape of consumer AI applications as an “awkward teenage middle ground.” The challenges of today may pave the way for future innovations.

The Search for a New Device

Both experts contemplate what will propel consumer AI startups to maturity. Chien posits that the existing smartphone paradigm may not suffice for fully leveraging AI’s capabilities. “It’s unlikely that a device that you pick up 500 times a day but only sees 3% to 5% of what you see will ultimately introduce use cases that take full advantage of AI,” he argues.

Weil concurs, suggesting that a new, more ambient device may be necessary to realize the full potential of consumer AI. “I don’t think we’re going to be building for this in five years,” she says, pointing to her smartphone as a limiting factor.

There is a concerted effort among startups and established tech companies to develop new personal devices that could potentially replace smartphones. Concepts range from OpenAI and former Apple design chief Jony Ive’s rumored “screenless” device to Meta’s Ray-Ban smart glasses controlled by a wristband. Numerous startups are experimenting with wearable devices like pins, pendants, or rings that harness AI in innovative ways.

Alternative Consumer AI Solutions

Interestingly, not all consumer AI applications will hinge on new devices. Chien envisions personal financial advisors tailored to individual needs, while Weil foresees the emergence of personalized, “always-on” tutoring solutions delivered through existing smartphones. These could enhance the user experience without requiring a completely new interface.

However, there is skepticism about the viability of emerging AI-powered social networking platforms. Chien expressed concerns about networks driven by AI bots interacting with user content, suggesting that they might transform socialization into a solitary experience. “The reason that people enjoy social networking is the understanding that there are real humans on the other side,” he emphasized.

As the landscape of consumer AI continues to evolve, it is clear that both challenges and opportunities lie ahead. Investors and innovators alike are watching closely as these developments unfold, always in pursuit of that next breakthrough.

For more information on this topic, you can read the full article here.

Image Credit: techcrunch.com

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