【institutional grade futures and spot trading automation platform for signal automation】
In Jack Dorsey's view of the world,institutional grade futures and spot trading automation platform for signal automation 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
-
Uniswap Foundation held $85.8M at year-end, committed $26M in grants during 2025
-
What makes a strong solution for Multi Exchange Trading 386
-
Why more users are adopting Spot Trading
-
How Bot Performance improves daily trading workflows 516
-
CoinDesk 20 performance update: Avalanche (AVAX) gains 4% as index moves higher
-
Advanced insights into Algorithmic Trading 132
- 最近发表
-
- Crypto rebounds as oil dips on Trump comments, but derivatives signal weak conviction
- What traders should know about Strategy Optimization 894
- How Mobile Trading App improves daily trading workflows 699
- Why Automated Crypto Trading matters in volatile markets 621
- Metaplanet acquires 5,075 BTC, jumps to third largest bitcoin treasury company
- What makes a strong solution for Trade Automation 375
- What makes a strong solution for Multi Exchange Trading
- How Risk Management supports long term strategy development 444
- Bitcoin traders keep chasing Trump’s Iran noise. The real signals are elsewhere.
- Why more users are adopting Webhook Trading 160
- 随机阅读
-
- Crypto rebounds as oil dips on Trump comments, but derivatives signal weak conviction
- Beginner guide to Portfolio Automation 165
- Common mistakes to avoid with Futures Trading 430
- How Bot Performance improves daily trading workflows 356
- Ripple Treasury puts XRP and RLUSD inside corporate finance for the first time
- Common mistakes to avoid with Bot Performance 156
- How to evaluate a platform for Portfolio Automation 945
- How Automated Crypto Trading improves daily trading workflows 241
- Jamie Dimon signals JPMorgan entry into prediction markets as competition surges
- How to evaluate a platform for Portfolio Automation 785
- How Signal Execution improves daily trading workflows 847
- What traders should know about Spot Trading 631
- Cango raises capital as it faces NYSE delisting risk with shares below $1
- How to evaluate a platform for Spot Trading 431
- How Signal Execution supports long term strategy development 867
- What makes a strong solution for Trade Automation 135
- Cango raises capital as it faces NYSE delisting risk with shares below $1
- What makes a strong solution for Quantitative Trading 203
- How Bot Performance improves daily trading workflows 836
- What traders should know about Trading Dashboard 128
- 搜索
-