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a16z Cast

05/02/25

@ a16z

Most AI applications today, particularly those labeled as AI agents, often have low operational costs due to their reliance on software and LLMs, which are becoming cheaper over time.

Video

What Is an AI Agent?

@ a16z

What Is an AI Agent?

05/02/25

Related Takeaways

Winston Weinberg

03/11/25

@ Sequoia Capital

The recent advancements in AI, particularly in reducing costs, have opened up numerous use cases that are now feasible for implementation.

Anthropic Cast

04/28/25

@ Anthropic

The emergence of AI agents allows models to autonomously retrieve information, run code, and perform multiple tasks without human intervention, leading to significant economic impacts.

a16z Cast

05/02/25

@ a16z

Many buyers of AI solutions are sophisticated and understand that the underlying technology is often simple, leading them to question the true costs of running these systems.

Anthropic Cast

02/13/25

@ Anthropic

There's a lot of excitement around AI agents, but many people are unsure of their practical applications, often trying to apply them to problems that simpler solutions could address.

Tal Raviv

05/02/25

@ Lenny's Podcast

The biggest concern for product managers regarding AI agents is cost, as many platforms price based on usage rather than value.

Aaron Levie

02/20/25

@ Y Combinator

Using AI to automate processes allows us to build more efficiently, which can lower costs and improve lifestyles for everyone.

Y Combinator Cast

11/23/24

@ Y Combinator

Vertical AI agents could potentially be ten times larger than the SaaS companies they disrupt, as they can replace not only software but also reduce payroll costs significantly.

Tal Raviv

05/02/25

@ Lenny's Podcast

To optimize costs with AI agents, you can either choose a cheaper model or reduce the amount of data fed to it, but it's best to start with a good model and ample data first.

Y Combinator Cast

09/05/24

@ Y Combinator

While AI's current applications may not seem groundbreaking, they are already changing things behind the scenes, particularly in developer productivity and customer support.