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An Accel-backed startup CEO says your next user isn't human — and it's changing how software gets built
ai-agents

An Accel-backed startup CEO says your next user isn't human — and it's changing how software gets built

Vercel's CEO says AI agents are becoming software's next users, transforming how APIs and developer tools are designed and built.

August 6, 2025
5 min read
Lee Chong Ming

Vercel's CEO says AI agents are becoming software's next users, transforming how APIs and developer tools are designed and built.

An Accel-backed startup CEO says your next user isn't human — and it's changing how software gets built

Vercel's CEO, Guillermo Rauch, believes the future of software development is shifting from human users to AI agents. These AI agents are becoming the primary users of software, fundamentally reshaping how APIs and developer tools are created. "Your customer is no longer the developer," Rauch said on the "Sequoia Capital" podcast. "Your customer is the agent that the developer or non-developer is wielding." Vercel, a web infrastructure startup valued at $3.25 billion last year, is witnessing a paradigm shift where code is increasingly written not just for humans to read or interact with, but for AI agents to understand, use, and extend.
"That is actually a pretty significant change," Rauch explained. "Is there something that I could change about that API that actually favors the LLM being the, quote-unquote, entity or user of this API?"
This AI-first era demands that software tools evolve based on how large language models (LLMs) interact with them. Rauch emphasized that the strengths and weaknesses of LLMs will influence the future development of runtimes, programming languages, type checkers, and frameworks. Moreover, Vercel's newer users—who might be designers, marketers, or even AI agents rather than traditional developers—expect seamless functionality. Rauch noted that while developers are accustomed to frequent errors and negative feedback, today's users have little patience for failures.
"You want something that works 99.99% of the time," he said. This pressure, Rauch believes, is a positive force driving product excellence.
Last year, Vercel raised $250 million in a Series E funding round led by Accel, with participation from Tiger Global and GV.

Rise of AI agents

The year 2025 has been marked as the rise of AI agents, which could revolutionize how the internet functions and how users interact with apps and software. Bernstein analysts noted that while websites and apps will continue to exist, users may no longer interact with them directly. Instead, AI assistants will serve as "aggregators of the aggregators," providing streamlined access to information and services.
"If it scales and plays out like we think it might, this. Changes. Everything," the analysts wrote. "The aggregators get disaggregated, and much of consumer internet may be structural shorts. Welcome to the Agentic AI era."
However, AI agents are not without flaws. Researchers warn that errors in AI agents are common and tend to compound with each step in a task. Patronus AI, a startup focused on optimizing AI technology, found that even a 1% error rate per step can lead to a 63% chance of failure by the 100th step. Despite these challenges, implementing guardrails such as filters, rules, and accuracy-checking tools can significantly reduce error rates. Patronus AI highlights that small improvements can yield outsized reductions in overall error probability.
This article is based on insights from Guillermo Rauch, CEO of Vercel, and analysis from Bernstein and Patronus AI.
Source: Originally published at Business Insider on August 6, 2025.

Frequently Asked Questions (FAQ)

The Role of AI Agents in Software Development

Q: What is the primary shift in software development highlighted by Vercel's CEO? A: Vercel's CEO, Guillermo Rauch, posits that the future of software development is moving towards AI agents as the primary users, rather than human users. Q: How does this shift impact the creation of software tools and APIs? A: This paradigm shift means that software tools and APIs need to be designed with AI agents in mind, considering their strengths and weaknesses, to ensure seamless interaction and functionality. Q: What does "customer is the agent" mean in this context? A: It signifies that developers and businesses should focus on optimizing their software and APIs for the AI agents that end-users are wielding, as these agents are becoming the direct consumers of software.

AI Agent Capabilities and Challenges

Q: What is the projected timeline for the rise of AI agents as significant internet users? A: Analysts have marked 2025 as a key year for the rise of AI agents, predicting a revolution in how the internet functions and user interaction with applications. Q: What are the main challenges associated with AI agents? A: A significant challenge is the prevalence of errors in AI agents. Even a small error rate per step can lead to a high probability of task failure over multiple steps. Q: How can the error rates of AI agents be mitigated? A: Implementing guardrails such as filters, rules, and accuracy-checking tools can significantly reduce error rates. Small improvements in these areas can lead to substantial reductions in overall error probability.

Impact on Software Design

Q: How should software tools evolve in the AI-first era? A: Software tools must adapt to how LLMs interact with them, with future development of runtimes, programming languages, and frameworks influenced by LLM capabilities. Q: What are user expectations in this new era? A: Users, including designers, marketers, and AI agents themselves, expect seamless functionality with very little tolerance for errors, demanding products that work almost flawlessly.

Crypto Market AI's Take

The insights from Vercel's CEO, Guillermo Rauch, about AI agents becoming the primary users of software, directly align with the evolving landscape of AI-driven crypto trading and market intelligence that we focus on at Crypto Market AI. As software development adapts to serve AI agents, the financial sector, particularly cryptocurrency, is already deeply integrating AI to analyze markets, execute trades, and provide user assistance. Our platform leverages cutting-edge AI and machine learning models, akin to the sophisticated agents Rauch envisions, to offer AI-powered trading bots and AI analysts that provide real-time market data, predictive analytics, and automated trading strategies. This allows users to navigate the complexities of the crypto market with greater efficiency and insight, anticipating the demand for tools that can be seamlessly utilized by both human traders and future autonomous agents.

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