Acquired• Aug 18, 2025• 1:13:19Interview

How is AI Different Than Other Technology Waves? (With Bret Taylor and Clay Bavor) [ACQ2]

From Acquired

Brett Taylor(Guest)•Clay Bavor(Guest)•Mark Mandelavyski(Guest)

Executive Summary

Brett Taylor (Chairman of OpenAI, former co-CEO of Salesforce) and Clay Bavor (former VP at Google) discuss the transformative impact of AI and their new venture, Sierra.
They argue that AI represents a fundamental platform shift, comparable to the internet and mobile, with 'agents' being the new primitive.
The conversation delves into Sierra's disruptive outcome-based pricing model, which challenges traditional SaaS by charging only for successful resolutions.
They also explore the rapid adoption of AI technologies like ChatGPT, the consolidation of the foundation model market, and the cultural and operational shifts required for companies to become 'AI-first'.

12 quotes

Concerns Raised

The societal and individual disruption caused by AI automating knowledge work.
The potential for incumbents to be slow in adopting new business models required for the AI era.
The difficulty for large organizations to manage the cultural change required to fully leverage AI.

Opportunities Identified

AI agents completing work, not just aiding productivity, leading to significant economic value.
New outcome-based business models that align software vendors with customer success.
The democratization of expertise in fields like legal, medical, and mental health care.
The rapid adoption of new technologies built on existing internet and mobile infrastructure.

Key Themes

AI as a Foundational Platform Shift

The speakers frame the current AI wave not as just 'better software,' but as a new technological layer compounding on previous shifts like the PC, internet, and mobile. This allows for unprecedented speed of adoption, as seen with ChatGPT, and creates opportunities for new 'best of breed' companies to emerge.

This provides a strategic framework for understanding the scale of disruption and opportunity, suggesting that incumbents are vulnerable and new market leaders will be established.

The Rise of AI Agents

The core primitive of the AI era is the 'agent'—autonomous software that can reason and complete tasks. The speakers predict agents will become more important than websites or apps for customer interaction, fundamentally re-architecting the internet's economy around demand generation and fulfillment.

Professionals must understand how to build, deploy, and interact with agents, as they will become the primary interface for both consumer and B2B services.

Disruption of the SaaS Business Model

Sierra is pioneering an 'outcome-based' pricing model, charging customers only when an AI agent successfully resolves an issue. This moves beyond seat-based or consumption-based pricing to directly align the vendor's revenue with the value delivered, shifting risk from the customer to the vendor.

This signals a potential paradigm shift in enterprise software procurement, forcing vendors to prove tangible ROI and fostering deeper, partnership-style relationships with customers.

The AI Technology Stack and Market Structure

The AI market is stratifying into three layers: a small number of capital-intensive frontier model labs (e.g., OpenAI), a tooling layer (e.g., vector databases), and applied AI companies (e.g., Sierra). The speakers argue that most applied companies should not build their own foundation models due to the rapid depreciation of these assets.

This clarifies the competitive landscape, guiding investment and strategy toward the application layer where domain-specific value can be created on top of foundational platforms.

Building an 'AI-First' Company Culture

Operating in the AI era requires a fundamental shift in how companies work. This includes aggressively adopting AI tools like Cursor for coding, focusing on providing AI with the right context rather than just fixing its output, and having difficult conversations about how every role can be augmented or automated.

Leaders must actively drive cultural change and tool adoption to maintain a competitive edge, as failing to do so will result in significant productivity disadvantages.

Get started free

Topics

AI Agents Sierra Outcome-based pricing SaaS business models Foundation Models Applied AI ChatGPT Google Salesforce Facebook OpenAI Productivity Brett Taylor Clay Bavor Enterprise Software

Processed Feb 25, 2026 yt-dlp + mlx-whisper + Gemini