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Block bets on mini-AGI to end era of software headcount

Saturday, April 4, 2026 · from 2 podcasts
Presidio Bitcoin JamThe a16z Show
  • Block cut 40% of staff, claiming AI broke the link between employee count and company output.
  • Its AI agents now autonomously write, test, and ship code, compressing feature timelines from months to weeks.
  • The company is building custom, on-the-fly app interfaces for each user, but scaling faces real-world hurdles.

Block is gutting its development teams. According to executive Owen Jennings on The a16z Show, the decades-long correlation between headcount and output has broken. The company responded by cutting 40% of its staff, targeting developers specifically. The bet is that a small team augmented by AI agents can outperform a traditional corporate hierarchy.

The new workflow centers on autonomous AI. Block built an agent harness called Goose and an internal tool named Builder Bot that autonomously writes, tests, and merges code. Humans now manage fleets of these agents, acting more as editors and context-managers than manual coders. Designers and product managers ship their own code directly to production, collapsing feature timelines.

Owen Jennings, The a16z Show:

- There's been this correlation between the number of folks at a company and the output from the company for decades and decades.

- I think that basically broke.

Block’s next phase is to kill static apps. It's deploying agent-powered tools like MoneyBot for Cash App to generate unique, on-demand interfaces for each user. A restaurant owner could get a custom-built scheduling tool on the fly, a move from personalizing data to personalizing the entire application.

However, this aggressive AI transformation faces practical friction. As discussed on the Presidio Bitcoin Jam, Block’s rollout of Bitcoin Lightning payments for Square merchants has been hampered by fragmented software across five different apps and legacy hardware. A core UX mismatch also persists: Bitcoin’s invoice system can’t handle the post-payment tipping flow standard in US retail.

Steve, Presidio Bitcoin Jam:

- Bitcoin and Lightning don't support the way people tip.

- The invoice needs to be the total amount unless you do two separate payments.

Internally, Block is reorganizing around this AI-centric future. The company’s 'Hierarchy to Intelligence' vision restructures roles around three core functions: Individual Contributor, Directly Responsible Individual, and Player-Coach, effectively eliminating traditional middle management. The goal is a company where AI agents handle internal information flow and people act as orchestrators. The test is whether this mini-AGI architecture can navigate both code and the messy reality of customer adoption.

AgentsBig TechMarketsRegulation

By the Numbers

  • 354-byteShrinks signature sizemetric
  • 5xShrinks signature size increase over Schnorrmetric
  • 2500-byteShrimps signature sizemetric
  • 50Number of Spiral developers/grantees surveyed on AI usemetric
  • 1 in 10Cash App users with Bitcoinmetric
  • 60 millionActive Cash App customersmetric

Entities Mentioned

BLOCKSPACESCompany
BuilderBotConcept
Cash AppProduct
Codexmodel
DeepSeekCompany
OpenAgentsplatform
OpenAItrending
Opusmodel
ShrimpsProduct
SpiralCompany
SquareCompany

Source Intelligence

What each podcast actually said

Presidio Bitcoin Jam
Presidio Bitcoin Jam

Google's Quantum Warning Overblown?, OpenAI Acquires TBPN, Jack Dorsey Makes Block Mini-AGI • Apr 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.
Big TechVCAdoptionProtocol
The a16z Show
The a16z Show

What Happens When a Public Company Goes All In on AI • Apr 1

  • 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.
  • 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's internal tool BuilderBot autonomously merges pull requests and builds features, often completing 85-90% of the work.
  • 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.
  • Cash App now represents roughly 60% of overall gross profit at Block, up from its first monetization in 2016.
  • Block's agent harness Goose is model-agnostic, capable of running on about 120 different models.
  • Products like MoneyBot and ManagerBot are built on top of the Goose platform.
  • ManagerBot can generate custom applications, like a scheduling app for a restaurant, not contained in the app's original source code.
  • Block's future vision involves building world models of its business and customers to iteratively improve with autonomous agentic systems.

Also from this episode:

Labor (2)
  • 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.
Coding (2)
  • Owen Jennings states Block is not writing code by hand anymore, calling that era over.
  • At Block, all designers and product managers are now shipping code pull requests, not just engineers.
Enterprise (4)
  • 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.
  • From a business unit structure, Block functionally reorganized about 18 months ago, with all engineering, design, and product under single leaders.
AI & Tech (2)
  • Owen Jennings states generative UI is here, moving from static interfaces to apps that look different per user.
  • Block invests in proactive intelligence, prompting customers with relevant financial insights instead of relying on user-initiated prompts.
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.
LaborAgentsEnterpriseMarkets

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