AI’s Unpopularity + Competing With ChatGPT — With Olivia Moore - Big Technology Podcast Recap

Podcast: Big Technology Podcast

Published: 2026-03-11

Duration: 57 min

Guests: Olivia Moore

Summary

The episode explores the challenges startups face competing with dominant AI players like OpenAI, Anthropic, and Google while analyzing the broader implications of AI adoption, public sentiment, and workforce transformation.

What Happened

A recent NBC News poll reveals that 57% of Americans believe the risks of AI outweigh its benefits, positioning AI as one of the least popular technologies in the U.S. Olivia Moore, an AI partner at Andreessen Horowitz, argues that this negativity stems from misconceptions about AI's resource use and fear of job displacement, particularly in creative and white-collar fields. While skepticism is pronounced, Moore notes a paradox: many who distrust AI still find tools like ChatGPT invaluable, which suggests public sentiment might shift as AI's utility becomes clearer.

Moore breaks down how companies using AI are experiencing exponential productivity gains, sometimes 8-9x compared to non-users, which enables faster hiring and business growth. She highlights a Wharton study showing companies heavily adopting AI often need more employees to manage increased demand. This dynamic counters fears of mass unemployment and points to evolving job roles rather than outright displacement.

The conversation examines whether startups can compete with AI giants like OpenAI and Google. Moore expresses skepticism about horizontal consumer apps, noting that products like AI-powered calendars and email tools struggle against entrenched players with extensive data and distribution channels. However, she sees opportunity in verticalized, niche products where startups can outpace giants by focusing on specific workflows, such as Eleven Labs' dominance in audio modeling.

They dive into the potential of autonomous AI tools like OpenClaw, which can execute long-running tasks across platforms. While these tools excite developers and inspire startups, Moore admits consumer-grade applications remain limited. Still, she sees significant potential for OpenClaw-inspired architectures to transform specific industries, enabling anyone to launch a business by automating complex tasks like marketing and integration.

The episode evaluates the competitive landscape of AI chatbots, noting that ChatGPT remains the leader with 2-3x more usage than its closest competitor, Google’s Gemini, and 30x more than Anthropic’s Claude. According to Moore, ChatGPT targets mainstream consumer use cases, while Anthropic focuses on enterprise and data-heavy applications. She also discusses how startups can thrive by building on existing models rather than competing directly with foundational labs.

Moore highlights the role of memory in improving AI’s personalization capabilities. Tools with persistent memory can provide a 100x better user experience, adapting seamlessly to individual needs. However, she acknowledges the challenges of segmenting professional and personal contexts within these memory systems, which could confuse users.

The discussion concludes with reflections on the rapid evolution of AI-driven products. Moore observes that while some technologies, like image generation, have been absorbed by major platforms, other areas like video and agentic AI are still ripe for innovation. She predicts that startups leveraging agentic AI, combined with powerful foundational models, will reshape industries by enabling unprecedented automation and personalization.

Key Insights

• 57% of Americans believe the risks of AI outweigh its benefits, yet tools like ChatGPT remain widely used. This contradiction suggests fear of AI is tied more to abstract concerns like job loss than to personal experience with its practical advantages.
• AI-heavy companies are achieving productivity gains of 8-9x over non-users, according to Olivia Moore. A Wharton study even shows these firms often need more employees to keep up with demand, flipping the narrative of AI causing mass unemployment.
• Startups building niche AI products—like Eleven Labs in audio modeling—have a better shot at success than horizontal apps competing with giants like OpenAI. Focusing on specific workflows allows for deeper expertise and faster iteration than broad consumer tools.
• Persistent memory in AI could make tools 100x more personalized by tailoring to user habits, but it comes with a challenge: separating professional and personal contexts. Without clear boundaries, these systems risk confusing rather than helping users.

Key Questions Answered

Why is AI viewed negatively in the U.S., according to Olivia Moore on Big Technology Podcast?

Moore attributes AI's unpopularity to misconceptions about its environmental impact and fears of job displacement, especially in creative and white-collar fields. While public sentiment is negative, tools like ChatGPT reveal the technology's practical value, suggesting attitudes could shift as adoption grows.

How can startups compete with giants like OpenAI and Google, according to Olivia Moore?

Moore believes startups should avoid horizontal use cases like AI-powered email or calendars, where giants dominate. Instead, they should focus on verticalized, niche applications with specific workflows, as seen with Eleven Labs' success in audio modeling.

What is OpenClaw, and why is it significant in AI development?

OpenClaw is an autonomous AI assistant capable of executing long-running tasks across platforms. While not yet consumer-grade, it inspires startups and developers to create tools that automate complex workflows, signaling a transformative shift in AI’s application potential.