This is the question every software company is asking themselves right now. What happens to our roadmap if an engineer can produce 2X or 5X more output. The general direction will be roadmap expansion. Companies that just use this leverage to cut costs will be outcompeted by those that decide to do more. As a result, this will mean we will see more competitive battles between companies, but also the expansion of many more categories since software can touch more surface area. The limiter then becomes how rapidly your customers can actually adopt new software, how good you make that software (vs. it becomes slop because it’s so much easier), and whether you can get paid for more software or if customers’ expectations just go up over time for what they get from each vendor. As an aside, building up a brand, ecosystem, and distribution moat ends up being critical. If software development cost per unit go down, then the new game is how you can get customers to adopt and remain sticky. GTM becomes a critical factor in all this.
“My bet is that there will be no slopcopolypse because the model will become better at writing less sloppy code and at fixing existing code issues” This is quite a provocative position. Basically, you can hand off more and more to...
We've had a pretty wild new AI Agent feature that we've almost released twice, but then right as we get close, a new technical breakthrough makes the agent substantially better than before. The pace of new best practices emerging in...
Claude now supports MCP Apps, which means you can get interactive experiences in Claude responses. We're excited to partner with Anthropic to support Box file previews for nearly any file type directly in your Claude chat experience.
Here’s what often gets missed when people think about AI coding. The code may now be free, but the learnings of what to build (and what to build *next*) and how to build it are bottlenecked by the same set...
We're excited to partner with Mercor on their new APEX-Agents benchmark to evaluate complex, real-world knowledge worker tasks across banking, consulting, and legal. Today, most of the powerful agentic use cases and benchmarks in AI are for code-related tasks, but soon...
AI brings down the cost of building software dramatically. And now everyone can write code for any use case they can think of. But nothing changes about the concept of core competencies in a company. Companies spend their finite resources...
Claude Cowork gives you a peek into the future of knowledge work. Here's a demo of using Box as a cloud filesystem via MCP for Claude to leverage content as context to generate new slides locally. The future is having...
The capability overhang right now in AI is pretty massive. Most of the world still thinks of AI as chatbots that will answer a question on demand but not yet do real work for them. Beyond coding, almost no knowledge work...

You’re going to see more and more service providers go big on AI coding and other AI automation. To understand why, it’s useful to think about the power of distribution and the nature of the firm in the age of...
A deeply under-appreciated economic benefit of AI agents is the ability to experiment and throw away things at near 0 cost. Most projects traditionally get stuck on a one way train based on initial decisions that get made early on....
The corollary is that because of AI agents, every small business and entrepreneur now has the resources of a Fortune 500 at their disposal. Technology has always been about producing more abundance and better access to a given resource. We’ve...
To get the full benefit of AI agents you often need to change your underlying workflows, and keep up with a very fast moving AI space. Because of this, there are at least 2 entirely new categories of business models...
From Karpathy’s latest post: “LLM apps will organize, finetune and actually animate teams of them into deployed professionals in specific verticals by supplying private data, sensors and actuators and feedback loops.” This is exactly right. In a world of AI agents, there...
The rate of AI agents being able to complete more and more complex work is definitely the story of 2025. Next year it appears this will only go more vertical. We’re collectively figuring out how to develop agent architectures that...
The vast majority of AI use in 5 years from now will be on things we don’t even do today. In most areas of work, we actually haven’t reached peak demand. In fact we’re very far from it. We haven’t reached...
“Because as workflows get more automated and more agent driven, the fragility point often has nothing to do with the model and everything to do with whether the agent pulled the right value from the right system at the right...
Maintaining accuracy across a long context window is one of the most important variables for AI agent advances from here on out. It looks like GPT-5.2 is a major upgrade on this front. This is very bullish for enterprise AI...
Many of the biggest opportunities in AI right now are going after categories where there was never software to accomplish the problem before, or the categories were too small to matter. AI agents represent the first time ever where we can...
Having a good sense of model trajectory is definitely an important skill for anyone doing AI product management or engineering. You have to have a good understanding of (1) what things are worth building scaffolding for to mitigate model gaps, (2)...
At least based on the path we’re on right now, AI will be best harnessed by people who understand the domain they’re working in (or problem they’re trying to solve). And thus, AI will ultimately augment how we work vs....
We just announced our Q3 earnings yesterday, delivering revenue of $301 Million and non-GAAP operating margins of 28.6% in the quarter, and we guided for the full year to come in at approximately $1.175 billion in revenue. A huge thanks to...
“Every hour spent recreating Salesforce or Workday is an hour not spent building the proprietary capabilities that actually move the business forward.” This is one of the more essential reason why most companies are not going to have AI clone their...
Lowering the cost of building software does not change the fundamental value proposition of commercial software. Commercial software means that you get a dedicated organization that is accountable to running your tech, keeping your tech up to date with the...
On a daily basis there are new examples of AI agent use-cases that a company didn’t do previously because it was too expensive or impractical to scale. The economic impact of AI agents will be that we will, en masse, take...
We ran our latest Box AI advanced reasoning eval on Opus 4.5 with medium and high effort and saw a 20 percentage point boost over Opus 4.1. What’s insane to think about is Opus 4.1 came out just 3 months...
AI agents are a force multiplier for your skill level in any particular field. This is why the argument of “don’t learn engineering because of AI” is bogus. This will basically be true in most areas of work. Those that...
It’s clear that AI agents are going to get better and better at coding. We’re going to be able to give them much bigger tasks, and reviewing that work will get easier and easier over time (both due to reliability,...