04-06-2026Price:

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BUSINESS

Jack Dorsey slashes staff as AI replaces corporate hierarchy

Monday, April 6, 2026 · from 4 podcasts
  • Block cut 40% of dev staff, proving AI productivity breaks the link between headcount and output.
  • Dorsey argues corporate hierarchies are 2,000-year-old relics blocking real-time data flow.
  • Engineers now manage agent swarms, causing mental exhaustion but enabling automated code factories.

Corporate structures built for the Roman legion are breaking under AI’s weight. Jack Dorsey told Brian Halligan that the traditional org chart, a 2,000-year-old relic for managing human-scale communication, is obsolete. At Block, he’s replacing it with what he calls a “mini-AGI” - an AI that ingests every Slack message, email, and code commit to become the company’s central nervous system.

The proof is in the cuts. Block executive Owen Jennings said on The a16z Show that the decades-long correlation between employee count and output “basically broke” in December 2025. The company responded by eliminating 40% of its development teams, shrinking 14-person feature groups down to squads of one to six. AI handles the rest through internal tools like Builder Bot, which autonomously writes, tests, and merges code.

This shift creates a new class of exhausted engineer. Simon Willison explained on Lenny’s Podcast that senior developers now orchestrate four or more AI agents in parallel, making high-level architectural decisions all morning. “By 11:00 a.m., I am wiped out,” he said. The work isn’t disappearing; it’s transforming from typing code to managing cognitive load across a fleet of simulated workers.

Simon Willison, Lenny's Podcast:

- AI is supposed to make us more productive.

- It feels like the people that are most AI are working harder than they've ever worked.

- >> Using coding agents well is taking every inch of my 25 years of experience as a software engineer.

The endpoint is the “dark factory.” Willison described companies spending $10,000 daily on tokens to run simulated employees that stress-test software 24/7. In this model, no human reads or writes code; safety depends on massive AI swarms. The risk, he warned, mirrors the Challenger disaster - confidence grows with each uneventful launch until a systemic, unverified flaw causes collapse.

For Dorsey, the goal is total fluidity. Block is deploying generative UI bots that create unique app interfaces for each user, moving from static code to on-the-fly assembly. The internal structure has been flattened to three roles: Individual Contributor, Directly Responsible Individual, and Player-Coach. Middle management is gone.

The transformation is early and messy. As noted on Presidio Bitcoin Jam, Block’s own rollout of new features like Bitcoin payments faces real-world friction from legacy hardware and fragmented software updates. But the direction is set. The company betting its future on intelligence networks, not org charts.

By the Numbers

  • S&P 500Index listingmetric
  • 2,000 yearsduration of organizational structuresmetric
  • 354-byteShrinks signature sizemetric
  • 5xShrinks signature size increase over Schnorrmetric
  • 2500-byteShrimps signature sizemetric
  • 50Number of Spiral developers/grantees surveyed on AI usemetric

Entities Mentioned

AnthropicCompany
BLOCKSPACESCompany
BuilderBotConcept
Cash AppProduct
Claude CodeProduct
CloudflareCompany
Codexmodel
DeepSeekCompany
Google AntigravityProduct
OpenAgentsplatform
OpenAItrending
Opusmodel
ShopifyCompany
ShrimpsProduct
SlackProduct
SpiralCompany
SquareCompany
TwitterProduct

Source Intelligence

What each podcast actually said

Long Strange Trip: CEO to CEO with Brian Halligan
Long Strange Trip: CEO to CEO with Brian Halligan

Long Strange Trip: CEO to CEO with Brian Halligan

Jack Dorsey: Every Company Can Now Be a Mini-AGIApr 4

  • Jack Dorsey is unique as the only founder to have two companies, Twitter and Block, listed on the S&P 500.
  • Jack Dorsey recently published a manifesto titled 'From Hierarchy to Intelligence,' advocating for a fundamental rethinking of organizational structures.
  • Dorsey's article proposes eliminating traditional company hierarchies by integrating AI directly into the core of organizational operations.
  • Block is currently undergoing a significant internal transformation based on Dorsey's philosophy, and he is actively seeking feedback on this early-stage process.
  • Traditional company hierarchies, developed over more than 2,000 years, primarily facilitate information flow and communication across large groups of people at a human scale.
  • In a remote-first environment like Block, nearly all activities generate digital artifacts, including Slack messages, emails, code, Google documents, and recorded meetings.
  • An AI-powered information system allows for scaling direct access to company knowledge to any role, transcending the limitations of conventional hierarchies.
  • With an AI-modeled company, board meetings and analyst calls can pivot to focus on strategic, creative, and existential decisions rather than routine operational details.

Also from this episode:

Business (2)
  • Brian Halligan expresses both existential dread and hope regarding the future of company structures in light of rapid technological advancements.
  • Dorsey highlights the present as a foundational moment, allowing for critical examination of every aspect of work, particularly company hierarchy and communication methods.
AI & Tech (3)
  • Instead of human managers relaying information, AI can process these digital artifacts to construct an intelligent model of the entire company's operations.
  • This AI-driven model enables any individual within the company to query and interact directly with the organization's collective intelligence for information access.
  • Jack Dorsey proposes treating a company as a 'mini AGI' (Artificial General Intelligence) to optimize information flow, minimize loss, and enhance efficiency.

Google's Quantum Warning Overblown?, OpenAI Acquires TBPN, Jack Dorsey Makes Block Mini-AGIApr 3

Also from this episode:

Science (2)
  • Google's quantum cryptography paper claims a 20x performance improvement in algorithms to break elliptic curve signatures used by Bitcoin.
  • Steve Lee argues quantum computing progress should be framed as N minus 1, where N is years until cryptographically relevant quantum computers exist.
Adoption (6)
  • Lee says the quantum threat is harder for Bitcoin due to the need for decentralized consensus, Satoshi's potentially exposed coins, and blockchain cost sensitivity.
  • Blockstream's Shrinks quantum-resistant signature scheme produces 354-byte signatures, about 5x larger than current Schnorr signatures, but requires stateful management.
  • Blockstream's Shrimps scheme creates stateless 2500-byte signatures for recovery scenarios, trading larger size for no required off-chain data.
  • Lee says Bitcoin's anti-fragility means it could survive a price crash from a quantum emergency, similar to Mt. Gox, and recover long-term.
  • Square's rollout of Bitcoin Lightning payments faces hurdles: sellers must manually update software, not all hardware supports it, and tipping flows are incompatible.
  • David Marcus notes Cash App's Bitcoin Lightning payments save merchants credit card fees, with 1 in 10 Cash App users holding Bitcoin versus 60 million total active users.
AI & Tech (7)
  • Spiral surveyed 50 developers and grantees on AI usage, creating archetype-based reports from non-developers to low-level protocol coders.
  • OpenAI acquired The Big Podcast Network for an estimated $100 million, seen as a strategic move to control its own media channel amid competition.
  • Max Hillebrand argues America needs a 'DeepSeek moment' - a competitive open-source AI model - as Chinese models surge ahead and Llama's progress stalled.
  • Block's 'Hierarchy to Intelligence' vision restructures the company around AI agents handling internal information flow, with people as orchestrators.
  • Block's internal BuilderBot AI, integrated into Slack, allows employees to query company data, generate SQL, and get recommended contacts for verification.
  • A creator used AI tools for GLP-1 lead generation, reportedly generating $418 million in revenue within 18 months with minimal staff.
  • Max Hillebrand says peer-to-peer AI compute networks like Mesh LLM and OpenAgents are gaining traction, but lack payment mechanisms and computation verifiability.
Business (1)
  • Steve Lee says Block's new org structure has three roles: Individual Contributor, Directly Responsible Individual, and Player-Coach, eliminating traditional middle management.

An AI state of the union: We’ve passed the inflection point, dark factories are coming, and automation timelines | Simon WillisonApr 2

  • He argues AI amplifies the skills of senior engineers and accelerates junior engineer onboarding, but creates uncertainty for mid-career professionals.
  • Cloudflare and Shopify hired 1,000 interns in 2025 because AI assistants reduced their onboarding time from a month to a week.

Also from this episode:

Coding (14)
  • Simon Willison identifies November 2025 as an AI inflection point when GPT-5.1 and Claude Opus 4.5 crossed a threshold to become reliable coding agents.
  • Willison says 95% of the code he now produces is typed by AI agents, not by himself.
  • AI-powered 'vibe coding' enables non-programmers to build prototypes by describing what they want, democratizing basic software creation.
  • Willison distinguishes professional 'agentic engineering' from amateur vibe coding, arguing the former requires deep software engineering experience to deploy safely.
  • The 'dark factory' pattern describes fully automated software production where no human reads the code, only reviewing outputs from simulated tests.
  • Strong DM spent $10,000 daily on tokens to run a 24/7 swarm of AI agents simulating end-users for testing their security software.
  • AI models are now credible security researchers; Anthropic discovered and responsibly reported around 100 potential vulnerabilities in Firefox.
  • Willison finds that using four coding agents in parallel is mentally exhausting, often leaving him cognitively wiped out by 11 a.m.
  • The core challenge of AI is that code generation is now cheap, forcing a rethink of software development processes and bottlenecks.
  • Willison advocates for 'red/green TDD' as a prompt to make coding agents write tests first, run them to fail, then implement code to pass.
  • He recommends starting projects with a thin, opinionated code template so AI agents infer and adhere to preferred coding patterns.
  • He uses Claude Code for web over local versions because running agents on Anthropic's servers limits security risks to his own systems.
  • He maintains public GitHub repos like 'tools' and 'research' as a hoard of proven code snippets and agent-run experiments for future reuse.
  • Data labeling companies are buying pre-2022 GitHub repositories to train models on purely human-written 'artisanal' code.
Safety (3)
  • Willison coined the term 'prompt injection' but regrets it, as it misleadingly suggests a fix akin to SQL injection, which doesn't exist.
  • He defines the 'lethal trifecta' as a system where an agent has access to private data, accepts malicious instructions, and can exfiltrate data.
  • Willison predicts a 'Challenger disaster of AI' due to the normalization of deviance around unsafe AI usage, though it hasn't materialized yet.
Models (1)
  • Willison created the 'pelican riding a bicycle' SVG benchmark, finding a strong correlation between drawing quality and overall model capability.

What Happens When a Public Company Goes All In on AIApr 1

  • Jennings claims the decades-long correlation between company headcount and output broke in the first week of December 2025.
  • Block's reduction in force was slightly greater than 40%, with the deepest cuts on the software development side.
  • Owen Jennings states Block is not writing code by hand anymore, calling that era over.
  • Principles for Block's RIF were reliability, maintaining regulatory trust, and continuing to drive durable growth.
  • Block did not touch its compliance and compliance technology teams during the restructuring to avoid regulatory risk.
  • Block reduced the number of internal meetings by roughly 70% to 80%, freeing up time to build.
  • The company now operates with squads of one to six people, a shift from larger, functionally siloed teams.
  • Jennings reports Block cut management layers on the development side by 50% to 60% and has only two to three layers on the product side.
  • At Block, all designers and product managers are now shipping code pull requests, not just engineers.
  • On customer support, Block's chatbots and AI phone support now automate a majority of inquiries.
  • Jennings believes models and agents will do a better job than humans at deterministic workflows, with a human-in-the-loop required for now.
  • From a business unit structure, Block functionally reorganized about 18 months ago, with all engineering, design, and product under single leaders.
  • Products like MoneyBot and ManagerBot are built on top of the Goose platform.
  • Owen Jennings states generative UI is here, moving from static interfaces to apps that look different per user.
  • ManagerBot can generate custom applications, like a scheduling app for a restaurant, not contained in the app's original source code.
  • Block invests in proactive intelligence, prompting customers with relevant financial insights instead of relying on user-initiated prompts.
  • Block's future vision involves building world models of its business and customers to iteratively improve with autonomous agentic systems.

Also from this episode:

Agents (4)
  • In 2024, Block was early to agentic development with Goose, the first agent harness known to Owen Jennings.
  • Owen Jennings argues a binary shift occurred in late November and first week of December 2025 with models like Opus 4-6 and Codex-5-3.
  • Block's internal tool BuilderBot autonomously merges pull requests and builds features, often completing 85-90% of the work.
  • Block's agent harness Goose is model-agnostic, capable of running on about 120 different models.
Markets (1)
  • Cash App now represents roughly 60% of overall gross profit at Block, up from its first monetization in 2016.
Philosophy (2)
  • For long-term defensibility, Jennings argues the biggest moat will be a company's deep, hard-to-understand insight into a specific domain.
  • He contends companies lacking a unique, deep understanding of something risk being 'vibe coded' away by AI-powered competitors.