Human Cognitive Limits Drive Management; AI Can Break Them
“There is a limit on human cognition. Even if you're not reviewing everything they're doing, how much you can hold in your head at one time.” There’s a reason that at a certain scale, teams of people have a manager, and then there are managers of many teams, and so on. Companies don’t inherently love being inefficient. It’s because eventually you run into the limits of how much context you can hold on to produce useful work, so you have to delegate parts to someone else who can track their sub-context. In a world where agents don’t need to be prompted or have their work reviewed, or where the agent can know perfectly when to escalate when something is going wrong, then agents can completely break free of these context limits of humans. But for now, agents are generally only as effective as the context they’re provided, the tools they have access to, the human’s ability to keep them on track or review their work, and incorporate that work into a broader system. For now, that will continue to take real (mental) work from the people managing agents. This is also generally why the jobs arguments from those who think people go away will be wrong.
Ruthlessly Shed Legacy Scaffolding to Unlock AI Agent Gains
One of the biggest lessons thus far in building AI agents is you have to be brutally unsentimental in your architecture. The models get better and better at handling things you previously built scaffolding for, you need to ruthlessly jettison...
AI Productivity Hinges on Security, Compliance, and Governance
The ultimate rate limiter on productivity gains from agents will be on critical stuff like security, compliance, governance, the ability to review the work of the agent, ensure that it’s compatible with regulations, and so on. We’ve been living in...
Coding Agents Will Automate Cross-System Workflows Across Industries
Agents that can code will equally be able to use tools exceedingly well. This allows you to start to automate tasks across a workflow that requires both a component of non-deterministic intelligence but also deterministic system interaction. An example would...
AI Automation Expands Scope, Increases Workload, Not Reduces It
The thing that most people miss initially with agents is that the scope of what we will produce will go up commensurate with what the tools can now automate, which basically means we’ll working the same or even more. Everyone thinks...
Box + Codex: Coding Agents Automate Enterprise Content Workflows
Box just launched its plugin within Codex, which means you can take any content within Box and automate workflows around it using the power of a coding agent. Here's a quick example of processing earnings call documents to extract structured...
AI Agents as On-Demand Programmers Will Automate Enterprise Workflows
Computer use and the ability to write and run code on the fly are the ultimate primitives for agents to be able to take on more and more tasks in knowledge work. Most work requires hopping between multiple applications, and...
AI Agent Stacks Demand Constant Reset, New Scaffolding
It is quite ridiculous how agile you have to be with your AI agent stack right now. Whatever you spent 6 months perfecting 12 months ago probably is already out of date and you’re better off doing a reset than...
Agent-Driven Micro‑payments Will Unlock New Digital Revenue Models
Agents will outnumber human users on the web by orders of magnitude. Just like people, they will need a way to pay for services they use. They may run into propriety health or finance data they need to pay for...
Box CLI Launches, Offering Free 10GB Cloud Storage
The official Box CLI is here. Now you can use Box via Claude Code, Codex, Perplexity Computer, OpenClaw & more as a full cloud file system for agents. Available to all users, including free users with 10GB of free...
Redesign Workflows for AI, Not Just Overlay Existing Processes
There’s a fundamental difference between taking an existing process and applying AI agents to it vs. taking a process from scratch and designing it from the ground up for AI agents. The gap we’re going to see will widen between...
AI Agents Will Dictate Future Software Procurement Decisions
A subtle dynamic today that will likely end up being quite fundamental in the future is that AI agents implicitly will end up procuring a significant portion of tech in the future for you and your company. For companies that have...
AI Agents Will Skyrocket Token Demand by 100x
The frontier AI use-cases probably use 100X or so more tokens than the frontier use-cases did a year ago. We’re already seeing the explosion of coding agents that do vastly more complex and longer running projects, which is already using...
Future Software: Managing AI Agents, Not Human Interfaces
Software will look very different in the future for most knowledge work. Our software was designed for people to do most of the work, but now agents will be doing a large portion of those tasks and don’t need any...
Agent Budgets Turn Paywalled Data Into Cheap Micro‑resources
There are some pretty wild downstream effects in a world with trillions of agents using the internet and software. One very big one is what happens with agents with budgets and wallets. There are lots of business models that never...
GPT-5.4 Boosts Document Extraction Accuracy by 6 Points
Model progress continues unabated, with GPT-5.4 showing significant improvements in critical knowledge worker tasks. In our Box AI tests, we saw a 6 point jump in agentic document processing, which is upstream from most automation workflows. GPT-5.4 is now available...
APIs Must Become Core for Agent-First Software
As agents become the highest volume users of software in the future, a lot is going to become critical to support for them to be effective. Agents need to be able to signup for your tool on their own, have their...
CEOs View AI Agents as Automation Catalyst, Demand Expert Engineers
I talk to Fortune 500 CEOs and CIOs all time that are starting to think about all the new things that they’re going to build software for, and automate. Agents are the first thing that makes this viable for them....
Automation Boosts Demand for Skilled Engineers, Not Reduces It
This is counterintuitive for some, which is why there’s a paradox named after it. But if you lower the cost of something that was previously supply constrained, demand for that thing goes up. Software engineering is just one of the...
Securely Connect Box to OpenClaw for Agent Collaboration
Agents need access to their own file system, and they need to collaborate with other people and agents securely. Here’s how to setup Box with OpenClaw so it has a place to store and share its work. This skill is...
Agent Identities Demand New Sandboxing and Access Controls
Agent identities is going to be a super fun and hard problem for software in the coming years. Most agentic systems today assume that the agent can do everything the user can do, and just operate as an extension of...
Automation Shifts Jobs to Higher‑Level Human Oversight
The future of work will look something like what Boris is describing. Anthropic is hiring engineers because people who know what they’re doing still have to tell the agents what to do, review their work, and integrate that work into...
Limited Context Forces New Work Practices for AI Agents
Eventually, as a result of the context limitations of AI agents, we’ll start to change and improve our work practices to aid in their success. One of the most interesting issues with AI agents is because of their inherently limited...
Box Now Integrates with Langchain DeepAgents
File systems are an agent’s natural work environment. The ability to process and create unstructured data allow agents to bring automation to most areas of knowledge work. Now you can easily integrate Box as a cloud filesystem into deepagents from...
AI Agents Boost Platform Growth by Simplifying Data and Code
When thinking through the future of software, it’s helpful to think through what will we produce more of vs. less of in the future due to agents. And what systems are tied to that production or consumption. Whether it’s a new...
AI Agents Deliver 5× Productivity Leap Across Knowledge Work
The effective use of agents is creating one of the widest spreads in output productivity we’ve seen on a per role basis. We didn’t see this with chatbots previously. Chatbots probably sped up work by maybe 10-20% in most cases...
Enterprise Software Must Evolve Into Platforms for AI Agents
Every piece of enterprise software has to become a platform play in some capacity. We’re moving to a world where agents will do vastly more work with tools and data than people ever did. Your business model, feature set, and...
AI Coding Multiplies Software Options, Boosting Choice and Personalization
AI coding will lead to 100X more software. That to me doesn’t conclude that every customer wants to be responsible for owning and managing their own ERP. It concludes that customers will have more choice, better features, and far more...
AI Agents Unlock Enterprise’s Hidden Unstructured Data
The reason we’re all in on AI agents at Box is because agents can now process all of the unstructured data in an enterprise at scale. Companies are sitting on mountains of valuable information that they can tap into for...
AI Compute Is the New Bottleneck for Teams
You used to ask people on your team “what are you constrained by” and the bottlenecks would be process, lack of certain talent, waiting on some other function to do its work, and so on. Increasingly, the right question is...
Higher Engineer Output Expands Roadmaps, Fuels Competition
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...
Future AI Will Refactor Sloppy Code, Enabling Early Automation
“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...
AI Agents Improve Instantly with Each Compute Boost
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 Adds MCP Apps, Enabling Box File Previews in Chat
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.
Adoption Speed, Not Code, Is New Development Bottleneck
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...
APEX-Agents Expands AI Benchmark to Real‑World Knowledge Work
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 Lowers Code Costs, but Core Competencies Still Matter
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...
AI Agents Turn Cloud Files Into Instant Slide Decks
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...
2026: AI Agents Transform Knowledge Work Through Scaffolding
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...
AI Lets Service Firms Outpace In‑house Development
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...
AI Agents Enable Cheap, Limitless Experimentation and Rapid Iteration
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....
AI Agents Give Small Businesses Fortune‑500 Capabilities
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...
New AI Agent Integrators Will Redefine Enterprise Workflows
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...
AI Agents Will Become Vertical‑specific, Integrated Professional Teams
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...
AI Agents Scaling to All Knowledge Work by 2026
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...
AI Unlocks Unaffordable Work, Expanding Demand Beyond Today
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...
Agents' Success Hinges on Robust, Governed Data Records
“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...
GPT‑5.2 Tackles Context Rot, Boosts Enterprise AI
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...
AI Agents Unlock Massive Markets in Specialized Professions
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...
Build Scaffolding Wisely, Discard Once Model Handles It
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)...