AI represents a paradigm shift more significant than mobile or cloud, requiring every software company to be 'refounded' from the ground up, not just superficially updated with AI features.
The future of software interaction is conversational and agentic, where AI builds bespoke applications for users on demand, radically lowering the barrier to creating custom software.
To succeed in the AI era, companies must prioritize operational velocity by breaking down internal silos, eliminating bureaucratic processes like RACI in favor of single DRIs, and empowering employees to be more 'full stack'.
Founders must remain deeply involved in the product ('Founder Mode') and resist the conventional wisdom of hiring traditional managers, as this can dilute a company's unique 'alpha' and agility during periods of intense innovation.
While agentic AI is an existential threat to traditional no-code, a company's existing assets (like no-code components and distribution) can be a valuable 'parts bin' to build new AI-native products more reliably than pure code generation.
Winter 2010
Liu's first company, Etacts, is accepted into Y Combinator's Winter 2010 batch [8].
Circa 2011
At age 21, Liu sells Etacts to Salesforce in an acqui-hire after growing it to a team of four, personally making a low seven-figure amount from the deal [1, 9, 11].
Circa 2012-2014
Co-founds Airtable and spends over two years in a prolonged development phase before the product's public launch, a timeline he compares to Figma's [35].
Circa 2022-2023
Executes two significant rounds of layoffs at Airtable, reducing the company's headcount from a peak of 1,280 to approximately 600 employees to adjust to new market realities [45].
2023-2024
Initiates a 'radical refounding' of Airtable in response to the rise of generative AI, believing the technology represents an existential threat and opportunity [4, 13]. This involves a complete organizational and product overhaul.
2024
Launches Airtable's new AI-native experience, centered on a conversational agent named 'Omni' and a chat-first user interface, while restructuring the engineering organization into 'fast' and 'slow' thinking teams to accelerate AI development [16, 30, 44].
▶The AI 'Refounding'
Liu's central thesis is that AI is not an incremental feature but a fundamental paradigm shift demanding a complete corporate reinvention. He argues that every software product must be 'refounded,' breaking existing processes, organizational structures, and product philosophies to build for an AI-native world.
This 'refound or die' mentality signals a high-risk, high-reward strategy that could either position Airtable as a leader in the new paradigm or alienate its existing enterprise base by moving too fast and breaking too much.
▶Agentic Product ExperiencesApr 2026
Liu believes the future of software lies in 'agentic' systems that can build bespoke applications conversationally. He sees this as the ultimate fulfillment of the no-code promise but also a threat to its traditional form, pushing Airtable to pivot from a visual builder to a conversational creator.
Investors should watch whether Airtable can successfully transition its core value proposition from a structured, relational database to a more fluid, AI-driven application generator, a move that fundamentally changes the user interaction model.
▶Founder-Led Velocity
In response to the AI shift, Liu has re-asserted a hands-on, 'Founder Mode' leadership style, mirroring Brian Chesky's approach at Airbnb. This involves cutting bureaucratic overhead like standing meetings, taking on the de facto Chief Product Officer role, and empowering small, autonomous teams with single DRIs to execute rapidly.
This approach challenges the conventional wisdom of scaling a company with professional managers and suggests that during technological disruptions, founder-led product vision and operational agility are paramount, even at a large scale.
▶Strategic CannibalizationApr 2026
Liu openly acknowledges that agentic AI poses an existential threat to the traditional no-code market that Airtable helped build. His strategy involves proactively disrupting this core business by embracing a new, conversational app-building model, using Airtable's existing assets as a 'parts bin' for this new vision.
This theme highlights a classic innovator's dilemma; Liu is betting that the long-term gains from leading the next wave of software creation outweigh the short-term risks of de-emphasizing the product that brought the company its current success.