CEO Anthropic Hanya Punya Satu Bawahan Langsung, Padahal Mengelola Perusahaan Bernilai Hampir Rp 15.000 Triliun

marsbitPublished on 2026-06-12Last updated on 2026-06-12

Abstract

Bloomberg mewawancarai CEO Anthropic Dario Amodei dan mengungkap fakta menarik: sebagai CEO perusahaan dengan valuasi hampir US$ 1 triliun, ia hanya memiliki satu bawahan langsung, yaitu kepala stafnya Avital Balwit. Semua eksekutif perusahaan lainnya melapor kepada kakaknya, Presiden Daniela Amodei, yang menangani operasi sehari-hari. Struktur kepemimpinan ini sangat tidak biasa di industri teknologi, di mana banyak CEO justru memperlebar rentang kendali mereka. Dario, berlatar belakang peneliti dan bukan manajer profesional, memilih struktur ini agar dapat fokus pada tugas "zoom out": arah strategis, penilaian penelitian, budaya organisasi, dan pemikiran tentang dampak AI bagi peradaban manusia. Ia menghabiskan sekitar separuh waktunya untuk mempertahankan budaya Anthropic melalui pertemuan rutin seluruh karyawan dan artikel publik panjang. Pembagian kerja dengan Daniela didasarkan pada keahlian yang saling melengkapi. Dario ahli dalam penelitian, sementara Daniela berpengalaman dalam operasi dan manajemen. Profesor Harvard Raffaella Sadun menjelaskan bahwa rentang kendali CEO yang sempit seperti ini cocok untuk perusahaan seperti Anthropic yang terus menghadapi masalah baru dan berisiko tinggi yang membutuhkan penilaian puncak. Intinya, struktur organisasi dirancang untuk melindungi waktu CEO sebagai sumber daya paling langka.

Bloomberg mewawancarai CEO Anthropic Dario Amodei dan menemukan fakta menarik: sebagai CEO perusahaan dengan valuasi hampir Rp 15.000 triliun, dia hanya memiliki satu bawahan langsung.

Yaitu kepala stafnya, Avital Balwit. Semua eksekutif perusahaan (CFO, CCO, dll.) tidak melapor kepadanya, tetapi melapor kepada kakak perempuannya, Presiden Daniela Amodei. Daniela bertanggung jawab atas operasional sehari-hari dan bertanggung jawab kepada dewan direksi.

Mengapa Ini Tidak Biasa

Tren utama di industri teknologi saat ini adalah "pemipihan struktur", CEO mengelola lebih banyak orang secara langsung. Jensen Huang mengelola 60 orang, tidak melakukan rapat empat mata sama sekali, logikanya adalah "CEO mengelola 60 orang langsung bisa memangkas 7 lapisan manajemen". Sam Altman mengelola sekitar 6 orang.

Dario hanya mengelola 1 orang, sepenuhnya berkebalikan.

Mengapa Dia Melakukan Ini

Latar belakang Dario adalah peneliti akademis (doktor biofisika Princeton, sebelumnya melakukan penelitian di Google dan OpenAI), bukan manajer profesional.

Dia meyakini nilai terbesar CEO ada pada hal-hal "zoom out": arah strategis, penilaian penelitian, budaya organisasi, memikirkan dampak AI terhadap peradaban manusia. Hal-hal ini memerlukan blok waktu besar yang tidak terinterupsi. Sementara manajemen sehari-hari ("zoom in") akan memotong-motong waktu, membuat orang sulit memikirkan masalah besar. Jadi dia memisahkan kedua hal ini secara total, dirinya hanya melakukan yang pertama, yang kedua diserahkan sepenuhnya kepada Daniela.

Ucapannya adalah: "Jika besok ada banyak hal yang menunggu untuk diselesaikan, Anda akan sulit fokus pada gambaran strategis secara keseluruhan."

Bagaimana Dia Menghabiskan Waktunya

Sekitar setengah waktu dihabiskan untuk pembangunan budaya. Caranya spesifik adalah dengan mengadakan pertemuan seluruh karyanan dua minggu sekali yang disebut "Dario Vision Quest", dia sendiri menulis memo panjang lalu menghabiskan satu jam untuk menjelaskannya.

Kekhawatiran terbesarnya adalah: perusahaan berkembang pesat dari beberapa ratus orang menjadi 2500 orang, banyak karyawan baru berasal dari perusahaan teknologi besar, jika tidak secara aktif menanamkan budaya Anthropic, orang-orang ini akan secara default meniru cara kerja perusahaan sebelumnya, dan budaya perusahaan akan menjadi encer.

Sisa waktu dihabiskan untuk arah penelitian, strategi, dan menulis artikel publik panjang. Dia menghabiskan banyak waktu memikirkan apa arti AI bagi peradaban manusia, dan menuangkannya melalui artikel publik panjang.

Logika Pembagian Tugas Saudara Kandung

Ini bukan pengaturan sembarangan, tetapi berdasarkan saling melengkapi latar belakang keduanya. Dario berasal murni dari penelitian, pernah menjadi Wakil Presiden Penelitian di OpenAI; Daniela berasal dari operasional, pernah menjadi karyawan awal Stripe, memimpin tim keamanan dan kebijakan di OpenAI, lebih ahli dalam manajemen "orang". Masing-masing melakukan hal yang paling dikuasai.

Ada satu detail lagi: ketujuh pendiri bersama Anthropic hingga kini masih berada di perusahaan.

Di perusahaan startup teknologi, para pendiri bersama pergi satu per satu adalah hal biasa, ketujuh orang semua bertahan memang langka. Saudara Amodei menjadikan hal ini sebagai bukti kekuatan kohesi budaya perusahaan.

Penjelasan Profesor Harvard: Perusahaan Seperti Apa Membutuhkan Rentang Kendali Seperti Apa

Profesor Harvard Business School Raffaella Sadun memberikan sebuah kerangka kerja. Dia mengibaratkan perusahaan sebagai mesin pemroses masalah: karyawan tingkat bawah menangani masalah rutin, semakin sulit dan baru masalahnya semakin naik ke atas.

Jika perusahaan sebagian besar menghadapi masalah tipe yang sudah dikenal, CEO bisa mengelola banyak orang, karena orang di bawahnya bisa menyelesaikan sendiri. Para kepala divisi di Nvidia tahu apa yang harus dilakukan, jadi Jensen Huang mengelola 60 orang pun tetap bisa berjalan.

Tetapi jika perusahaan terus-menerus menghadapi masalah baru yang belum pernah ada, berisiko tinggi, tanpa jawaban yang sudah jadi, CEO memerlukan rentang kendali yang lebih sempit, mengalokasikan waktu untuk hal-hal yang benar-benar membutuhkan penilaiannya. Anthropic adalah kasus seperti ini: di mana batas keamanan, apakah harus bekerja sama dengan militer, bagaimana memilih jalur teknologi model generasi berikutnya, semua masalah ini baru.

Kesimpulannya adalah: "Waktu manajer adalah sumber daya yang paling langka."

Inti dari struktur organisasi adalah melindungi sumber daya langka ini.

Terjemahan Lengkap:

CEO Anthropic Dario Amodei Hanya Punya Satu Bawahan Langsung

Bloomberg · 10 Juni 2026

Ringkasan Poin

· CEO Anthropic PBC Dario Amodei hanya memiliki satu bawahan langsung, yaitu kepala staf Avital Balwit, hal ini sangat langka di industri teknologi.

· Tim eksekutif perusahaan melapor kepada Presiden Anthropic Daniela Amodei, yang bertanggung jawab atas operasional sehari-hari dan bertanggung jawab kepada dewan direksi, memungkinkan Dario fokus pada pemikiran strategis dan arah penelitian.

· Dario menghabiskan banyak waktu berdiskusi dengan karyawan tentang budaya Anthropic, dalam proses pertumbuhan perusahaan yang cepat, memelihara budaya perusahaan adalah prioritas nomor satu bagi dia dan Daniela.

Meskipun Dario Amodei memiliki pengaruh besar di Anthropic PBC, namun pendiri bersama dan CEO ini hanya memiliki satu bawahan langsung di perusahaan kecerdasan buatan ini.

Ini tidak umum di industri teknologi. Banyak pemimpin teknologi saat ini sedang memangkas tingkat manajemen dan memperluas rentang kendali. CEO OpenAI Sam Altman memiliki sekitar enam bawahan langsung, sedangkan CEO Nvidia Jensen Huang mengatakan ada 60 orang yang melapor langsung kepadanya.

Anthropic sedang mencoba model kepemimpinan yang berbeda: CEO mengalokasikan hampir seluruh waktunya untuk pemikiran strategis, budaya organisasi, serta masukan arah penelitian dan strategi, daripada mengelola para pemimpin senior. Tim eksekutif perusahaan malah melapor kepada kakak perempuan Dario, Presiden Anthropic Daniela Amodei, yang bertanggung jawab atas sebagian besar operasional sehari-hari perusahaan, dan bertanggung jawab kepada dewan direksi Anthropic. Satu-satunya orang yang dikelola langsung oleh Dario adalah kepala stafnya Avital Balwit.

"Ini sangat membebaskan," kata Dario dalam wawancara dengan Emily Chang di program Bloomberg "The Circuit". "Itu membuat saya melakukan semua yang harus saya lakukan jauh lebih mudah daripada sebelumnya."

Bagi Dario, sebagai seorang pendiri yang pertama kali memulai bisnis dan seorang doktor biofisika Princeton, karier awalnya dihabiskan di laboratorium melakukan penelitian, hal ini sering berarti dia menghabiskan banyak waktu memikirkan kecerdasan buatan dan maknanya bagi manusia. Dia melakukan ini melalui "Vision Quest" tingkat seluruh perusahaan (rapat karyawan, di mana dia melakukan refleksi tentang topik-topik luas) serta artikel publik panjang.

"Dalam banyak hal, ini adalah masalah fokus dan gambaran besar. Jika besok ada banyak hal yang menunggu Anda tangani, Anda akan sulit memperhatikan gambaran strategis secara keseluruhan," katanya. "Jadi memisahkan dua hal ini seringkali masuk akal, agar keduanya bisa dilakukan dengan baik."

Dario sebelumnya adalah Wakil Presiden Penelitian di OpenAI sebelum mendirikan Anthropic, dia pergi karena perbedaan pendapat dengan kepemimpinan pembuat ChatGPT ini, dan bersama-sama mendirikan Anthropic pada tahun 2021. Sebelumnya, dia adalah Peneliti Senior di Google.

Daniela memiliki pengalaman yang lebih kaya dalam manajemen sumber daya manusia di startup teknologi, dia pernah menjadi karyawan awal Stripe, dan juga memimpin tim keamanan dan kebijakan di OpenAI.

Anthropic memiliki valuasi mendekati Rp 15.000 triliun dalam putaran pendanaan terbaru, dan saat ini sedang berusaha untuk IPO sebelum OpenAI.

Perusahaan merekrut eksekutif teknologi berpengalaman pada tahun 2024, termasuk CFO Krishna Rao, dan pada tahun 2025 merekrut Chief Commercial Officer Paul Smith, untuk mendukung ekspansi cepat perusahaan. Mereka bekerja sama dengan ketujuh pendiri bersama Anthropic, saudara Amodei selalu memandang bertahannya semua pendiri sebagai tanda budaya kohesi perusahaan.

Dario memperkirakan dirinya menghabiskan "sekitar setengah" waktu untuk berdiskusi dengan karyawan tentang "budaya Anthropic dan bagaimana budaya itu bekerja", dan mengatakan bahwa memelihara budaya perusahaan mungkin adalah "prioritas nomor satu" bagi dia dan Daniela.

"Ketika Anda tumbuh secepat ini, Anda akan merekrut banyak orang dari perusahaan teknologi besar. Jika Anda tidak memberi tahu mereka bagaimana Anthropic bekerja, mereka akan secara alami meniru satu-satunya hal yang mereka tahu, yaitu cara kerja perusahaan sebelumnya," katanya.

Ekonom dan profesor administrasi bisnis Harvard Business School Raffaella Sadun berpendapat, berapa banyak bawahan langsung yang dikelola CEO, selain preferensi pribadi atau gaya kepemimpinan, juga mencerminkan sifat pekerjaan organisasi. Dia mengatakan, jika membayangkan perusahaan sebagai mesin pemroses masalah, karyawan tingkat bawah menangani masalah rutin, sementara masalah yang lebih sulit dan kasus pengecualian akan naik ke atas bertahap.

Ini berarti, ketika pemimpin lain di organisasi adalah ahli berpengalaman yang bisa menangani masalah di bidangnya secara mandiri, CEO bisa memiliki rentang kendali yang lebih lebar; tetapi ketika perusahaan menghadapi masalah baru yang terus-menerus dan keputusan berisiko tinggi yang membutuhkan lebih banyak penilaian tingkat tinggi (seperti Anthropic), mungkin memerlukan rentang kendali yang lebih sempit.

Bagaimanapun juga, struktur organisasi harus dipertimbangkan dengan cermat. "Waktu manajer adalah sumber daya yang paling langka," kata Sadun. Idealnya, desain struktur perusahaan bertujuan untuk melindungi sumber daya langka ini.

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What is AGENT S

Agent S: The Future of Autonomous Interaction in Web3 Introduction In the ever-evolving landscape of Web3 and cryptocurrency, innovations are constantly redefining how individuals interact with digital platforms. One such pioneering project, Agent S, promises to revolutionise human-computer interaction through its open agentic framework. By paving the way for autonomous interactions, Agent S aims to simplify complex tasks, offering transformative applications in artificial intelligence (AI). This detailed exploration will delve into the project's intricacies, its unique features, and the implications for the cryptocurrency domain. What is Agent S? Agent S stands as a groundbreaking open agentic framework, specifically designed to tackle three fundamental challenges in the automation of computer tasks: Acquiring Domain-Specific Knowledge: The framework intelligently learns from various external knowledge sources and internal experiences. This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

732 Total ViewsPublished 2025.01.14Updated 2025.01.14

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