---
title: "Aaron Levie Says 'Multi-Model Agentic Systems Clearly Are the Future' as AI Companies Chase Lower Costs"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/293328429.md"
description: "Box CEO Aaron Levie predicts multi-model agentic systems are the future of AI, combining advanced reasoning models with lower-cost alternatives to improve efficiency. Citing Cursor's research, he notes this approach can yield a 15X cost improvement by using frontier models for planning and cheaper models for execution. This trend aligns with industry shifts highlighted by AWS, Marvell, and Microsoft towards agentic computing and infrastructure spending."
datetime: "2026-07-21T10:19:34.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/293328429.md)
  - [en](https://longbridge.com/en/news/293328429.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/293328429.md)
---

# Aaron Levie Says 'Multi-Model Agentic Systems Clearly Are the Future' as AI Companies Chase Lower Costs

**Box** Inc. (NYSE:BOX) CEO **Aaron Levie** said the future of artificial intelligence will be driven by multi-model agent systems that combine advanced reasoning models with lower-cost AI models to improve efficiency and expand enterprise adoption.

## Levie Highlights AI Agent Cost Breakthrough

On Monday, in a post on **X**, Levie highlighted the growing importance of multi-model AI agents, arguing that companies will increasingly rely on different AI models for different stages of complex tasks.

"Multi-model agentic systems clearly are the future," Levie wrote.

He added that Cursor’s research found that using a frontier model as a planner and orchestrator alongside a cheaper workhorse model could deliver a "15X cost improvement" by reducing total token usage.

Levie explained that the most powerful AI models should focus on tasks requiring deeper reasoning, such as breaking down problems, making design decisions and evaluating trade-offs.

"Few moments in a large task genuinely require frontier intelligence, such as the original decomposition, the design decisions, and certain trade-offs," Levie quoted from Cursor’s research.

He added, "Once a frontier planner has collapsed the ambiguity into a detailed, explicit instruction, less expensive models simply have to follow it."

Levie said this approach is becoming a key design pattern for advanced AI agents because large portions of work often do not require the highest level of reasoning.

"By routing to different models based on where you are in the task, you get much greater efficiency overall," he wrote.

> Multi-model agentic systems clearly are the future. Great post by cursor. Their new research shows that a frontier model as a planner and orchestrator with a workhorse cheaper model can materially lower the cost of total tokens on a project, resulting in a 15X cost improvement.… https://t.co/za1w0t4JAr
> 
> — Aaron Levie (@levie) July 21, 2026

**Read Also: Chinese AI Models Overtake US Rivals as Token Share Among American Firms Hits Record 58%**

## **Agentic AI Reshapes Tech Industry**

Earlier, **AWS** CEO **Matt Garman** said the company was advancing AI-powered software through new products, including AI assistants and industry-specific applications, while expanding access to models from **OpenAI**, **Anthropic** and **Meta**.

He said agentic AI could transform productivity and how businesses build and use applications.  

Meanwhile, **Marvell Technology** said agentic AI could fuel a new wave of infrastructure spending as AI systems increasingly interact across large-scale workflows, boosting demand for networking, optical connectivity and custom silicon.

**Microsoft** CEO **Satya Nadella** also pointed to a major shift toward "agentic computing," with the company’s AI business surpassing $37 billion in annual recurring revenue and focusing on AI-powered systems across productivity, coding and security.

**Read Also: AI Isn't The Real Reason Behind Layoffs, Says Agentic Trading Platform COO & Co-Founder**

Photo courtesy: Shutterstock

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