Max Levchin to CEOs blaming AI for layoffs: Own it

AI democratizes 10x engineering productivity

Levchin states that AI codegen tools have raised the baseline so that standard CS graduates now possess previous '10x engineer' capabilities, while exceptional engineers can achieve '10,000x' output.

Engineering-led companies are superior investments

He asserts that companies run by engineers are better stock bets today than those with non-technical leadership, given the advantage of understanding AI's capabilities and limitations.

Co-founding provides critical sanity checks

Reflecting on Affirm and PayPal, Levchin emphasizes that co-founders offer essential reciprocal support and reality checks that solo founders lack, though he became Affirm's last remaining co-founder after 15 years.

Non-tech industries now demand software talent

Levchin highlights that manufacturers, agricultural companies, and other traditional businesses now need small 5-person engineering teams rather than 100-person teams to build custom software solutions.

Weekend projects replace six-month timelines

He notes that AI productivity gains compress development cycles dramatically, allowing engineers to prototype in weekends what previously required half a year.

Job market volatility masks underlying demand

Despite headlines of engineering layoffs, Levchin assures graduates that opportunities remain abundant across sectors needing software development for the first time in their histories.

Built personal 'Maxbot' assistant

Levchin created a specialized AI agent integrated into his communication channels to answer questions and retrieve information, demonstrating practical personal utility.

Rapid home automation development

Using AI agents, he built a custom iOS app consolidating all home device remotes in approximately eight hours over two days, despite never having developed an iOS app previously.

Embodied AI requires human guidance

He predicts the next wave involves specialized embodied AI and robots trained for specific manufacturing tasks, emphasizing humans will remain essential to train, guide, and co-design with these systems.

Rejects dystopian 'Machine Stops' scenario

Levchin counters fears of AI replacing human agency by advocating for co-design, where humans retain control as judges of AI success rather than surrendering to 'babylike' dependency.

AI systems judging each other's outputs

He identifies the trend of using multiple specialized models to evaluate and improve one another's work as a key development in current AI applications.

Human leadership value increases

Dismissing the idea of an AI bot managing Affirm's workforce, Levchin argues human interaction and leadership become more valuable as technology handles routine tasks.