Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

LongSplat: Robust Unposed 3D Gaussian Splatting for Casual Long Videos – Takara TLDR

AI creating ‘potentially new’ music genres as artists take control, says Stability AI study

DeepSeek V3.1 pushes open-source AI forward with smarter context and reasoning

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Business AI
    • Advanced AI News Features
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
TechCrunch AI

The high costs and thin margins threatening AI coding startups

By Advanced AI EditorAugust 7, 2025No Comments5 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


In February, AI coding startup Windsurf was in talks to raise a big new round at a $2.85 billion valuation led by Kleiner Perkins, at double the valuation it hit six months earlier, sources told TechCrunch at the time. That deal didn’t happen, according to a source familiar with the matter. Instead, news broke in April that the startup planned to sell itself to OpenAI for roughly the same valuation: $3 billion. 

While that deal famously fell apart, one bigger question remains: If the startup was growing that fast and attracting VC interest, why would it sell at all? 

Insiders tell TechCrunch that for all the popularity and hype around AI coding assistants, they can actually be massively money-losing businesses. Vibe coders generally, and Windsurf in particular, can have such expensive structures that their gross margins are “very negative,” one person close to Windsurf told TechCrunch. Meaning it cost more to run the product than the startup could charge for it.

This is due to the high costs of using large language models (LLMs), the person explained. AI coding assistants are particularly pressured to always offer the most recent, most advanced, and most expensive LLMs because model makers are particularly fine-tuning their latest models for improvements in coding and related tasks like debugging. 

This is a challenge compounded by fierce competition in the vibe-coding and code-assist market. Rivals include companies that already have huge customer bases like Anysphere’s Cursor and GitHub Copilot.

The most straightforward path to improving margins in this business involves the startups building their own models, thereby eliminating costs of paying suppliers like Anthropic and OpenAI. 

“It’s a very expensive business to run if you’re not going to be in the model game,” said the person.

Techcrunch event

San Francisco
|
October 27-29, 2025

But that idea comes with its own risks. Windsurf’s co-founder and CEO, Varun Mohan, ultimately decided against the company building its own model — an expensive undertaking, the person said. 

In addition, model makers are already competing directly. Anthropic offers Claude Code and OpenAI offers Codex, for instance.

Selling the business was a strategic move to lock in a high return before it could be undermined by the very companies that supplied its AI, including OpenAI and Anthropic, which were also entering the AI coding market.

Multiple people believe that the same pressure on margins Windsurf faced could be impacting Anysphere, the maker of Cursor, as well as vibe coders like Lovable, Replit, and others. 

“Margins on all of the ‘code gen’ products are either neutral or negative. They’re absolutely abysmal,” said Nicholas Charriere, founder of Mocha, a vibe-coding startup and back-end hosting solution serving small and medium businesses (SMBs). He added that he believes the variable costs for all the startups in the sector are very close, likely within 10% to 15% of one another.

Unlike Windsurf, Anysphere has been growing so fast that it intends to remain an independent company, having already turned down acquisition offers, including, reports say, from OpenAI.

And Anysphere announced in January that it is attempting to build its own model, which could give it more control over its expenses. In July, the startup hired two leaders from Anthropic’s Claude Code team, the Information reported, but two weeks later, these employees returned to work at Anthropic.

In addition to building a model, Anysphere could expect the cost of LLMs to decrease over time.  

“That’s what everyone’s banking on,” said Erik Nordlander, a general partner at Google Ventures. “The inference cost today, that’s the most expensive it’s ever going to be.”

It’s not entirely clear how true that is. Rather than falling as expected, the cost of some of the latest AI models has risen, as they use more time and computational resources to handle complicated, multistep tasks. 

When that will change remains to be seen. On Thursday, for instance, OpenAI introduced a new flagship model, GPT-5, with fees that are significantly less than its competitor, Anthropic’s Claude Opus 4.1. And Anysphere immediately offered this model as a choice for Cursor users.

Anysphere has also recently changed its pricing structure to pass along the increased costs of running Anthropic’s latest Claude model, particularly to its most active users. The move caught some of Cursor customers by surprise, since they didn’t expect additional charges on top of its $20-per-month Pro plan. Anysphere CEO Michael Truell later apologized for unclear communication about the pricing change in a blog post.

This is the rock and the hard place. Although Cursor is one of the most popular AI applications, having reached $500 million in ARR in June, the company’s user base may not be so loyal to the product if another company develops a tool that is superior to Cursor, investors say.

Anysphere didn’t respond to a request for comment.

Given the competitive landscape and the costs, Windsurf’s decision to get out may prove to be understandable. After the OpenAI deal fell through, the founders and key employees left to join Google in a deal that led to a $2.4 billion payout to key shareholders. The remaining business then sold itself to Cognition. 

While many, including prominent VCs, criticized Mohan for leaving approximately 200 employees without roles at Google, a source familiar with the deal insisted the acquisition actually maximized the outcomes for all employees. 

Beyond Cursor, other AI coding tools are also among the fastest growing startups of the LLM generation, like Replit, Lovable, and Bolt, and all of them rely on model makers as well.

Additionally, if this extremely popular business sector, already generating hundreds of millions in revenue or more a year, has difficulty building on top of model makers, what might it mean for other, more nascent industries?



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleTesla gets its best analysis from Morgan Stanley as ‘it’s all about to change’
Next Article SEO is dead as AI tools like ChatGPT dominate search results for businesses
Advanced AI Editor
  • Website

Related Posts

Anthropic bundles Claude Code into enterprise plans

August 20, 2025

Google doubles down on ‘AI phones’ with its Pixel 10 series

August 20, 2025

Dex is an AI-powered camera device that helps children learn new languages

August 20, 2025

Comments are closed.

Latest Posts

Dallas Museum of Art Names Brian Ferriso as Its Next Director

Getty Grants $2.6 M. to Black Visual Arts Archives Across the U.S.

Barbara Hepworth Sculpture Will Remain in UK After £3.8 M. Raised

After 12-Year Hiatus, Egypt’s Alexandria Biennale Will Return

Latest Posts

LongSplat: Robust Unposed 3D Gaussian Splatting for Casual Long Videos – Takara TLDR

August 20, 2025

AI creating ‘potentially new’ music genres as artists take control, says Stability AI study

August 20, 2025

DeepSeek V3.1 pushes open-source AI forward with smarter context and reasoning

August 20, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • LongSplat: Robust Unposed 3D Gaussian Splatting for Casual Long Videos – Takara TLDR
  • AI creating ‘potentially new’ music genres as artists take control, says Stability AI study
  • DeepSeek V3.1 pushes open-source AI forward with smarter context and reasoning
  • OpenAI’s big step toward personalized AI
  • International Business Machines Corporation (IBM) “Is Down Too Much,” Says Jim Cramer

Recent Comments

  1. HowardGok on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  2. ChrisStits on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  3. Robertned on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  4. ChrisStits on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  5. HowardGok on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.