【futures and spot trading automation platform for grid trading system】
In Jack Dorsey's view of the world,futures and spot trading automation platform for grid trading system the job most at risk from the AI revolution is the middle manager.\n\nDorsey argues in a new essay , "From Hierarchy to Intelligence," published with Roelof Botha, Sequoia Capital's managing partner, an investor in Block, that his company's decision to cut approximately 4,000 of its more than 10,000 employees was not a cost reduction but a permanent restructuring to replace middle managers with AI.\n\nCorporate hierarchy, the essay argues, has always existed to solve one problem: routing information through organizations too large for any single person to oversee.\n\nManagers aggregate context from below, act as messengers from above, and maintain alignment across teams. AI can now perform those functions continuously and at scale, the authors argue, making the messenger redundant.\n\nIn place of management layers, Dorsey and Botha proposes two AI-driven "world models."\n\nOne aggregates internal data from code, decisions, workflows, and performance metrics to create a continuously updated picture of company operations, replacing the context that managers traditionally carried.\n\nThe other maps customer and merchant behavior using transaction data from Cash App and Square.\n\nThose models feed what Block calls an “intelligence layer” that composes financial products dynamically to fit market demand.\n\nIf done properly, the models absorb the coordination work that previously justified the existence of middle management.\n\nRather than building from fixed roadmaps, the essay proposes breaking Block’s business into modular capabilities, including payments, lending, card issuance and payroll.\n\nWhen the system identifies a need, the essay’s example is a merchant facing a seasonal cash flow gap, it assembles a solution from existing capabilities. When it cannot, the missing capability defines what gets built next, replacing the product roadmap with a system-generated backlog.\n\nThe organizational structure is reduced accordingly. Block plans to operate with three roles: individual contributors who build the system, directly responsible individuals who own specific outcomes on 90-day cycles, and player-coaches who remain hands-on while developing people.\n\nDorsey told Wired in early Marchthe restructuring was triggered by a capability shift he observed in December in tools including Anthropic’s Opus 4.6 and OpenAI’s Codex 5.3, which he said was now capable of operating effectively in large codebases.\n\nBut current and former Block employees told the Guardian that roughly 95% of AI-generated code changes still require human modification, and that AI tools cannot yet lead in regulated areas like banking and money transfers.
相关推荐
-
Bitcoin traders keep chasing Trump’s Iran noise. The real signals are elsewhere.
-
How Bot Performance improves daily trading workflows
-
Beginner guide to Portfolio Automation 245
-
Beginner guide to Order Management 737
-
Galaxy Digital's testnet suffers hack but no client funds or information were compromised
-
Advanced insights into Trade Automation 635
- 最近发表
-
- Bitcoin, ether, solana slide further as Trump threatens to hit Iran 'extremely hard'
- Why Risk Management matters in volatile markets 564
- Common mistakes to avoid with Mobile Trading App 99
- Common mistakes to avoid with Signal Execution 327
- Bitcoin, ether, solana slide further as Trump threatens to hit Iran 'extremely hard'
- Advanced insights into Quantitative Trading 623
- How Trade Automation supports smarter execution 195
- Why Risk Management matters in volatile markets 804
- OpenAI raises a record $122 billion as revenue crosses $2 billion per month
- What makes a strong solution for Trade Automation 375
- 随机阅读
-
- Citadel-backed EDX Markets applies for U.S. trust charter to expand institutional crypto services
- How Trade Automation supports smarter execution 675
- Why more users are adopting Portfolio Automation 205
- How Market Analysis improves daily trading workflows 413
- Bitcoin’s crashes are shrinking, and Wall Street is starting to notice
- How Automated Crypto Trading supports long term strategy development 261
- Advanced insights into Trade Automation 395
- How Futures Trading improves daily trading workflows 230
- The bitcoin treasury boom is unwinding as some companies and governments sell holdings
- How Futures Trading supports long term strategy development 890
- Common mistakes to avoid with Signal Execution 327
- Why Signal Execution matters in volatile markets 987
- The Protocol: Quantum computing could break Bitcoin sooner, says Google
- What makes a strong solution for Trade Automation 215
- How Execution Speed supports smarter execution 378
- How Algorithmic Trading supports smarter execution 412
- Ripple Treasury puts XRP and RLUSD inside corporate finance for the first time
- What makes a strong solution for Algorithmic Trading 272
- How Signal Execution supports long term strategy development 707
- How to evaluate a platform for Spot Trading
- 搜索
-