Aliran Kas Bebas Google Q2 Pertama Kali Negatif, Menaikkan Panduan Pengeluaran Modal Tahunan Hingga Tertinggi $205 Miliar, Bisnis Cloud Meledak dengan Pertumbuhan 82%

链捕手Published on 2026-07-24Last updated on 2026-07-24

Abstract

Google melaporkan kinerja Q2 2026 yang bercampur. Pendapatan naik 24% menjadi $119,96 miliar, dengan Google Cloud melesat 82% menjadi $24,77 miliar dan backlog kontrak melampaui $500 miliar. Namun, arus kas bebas untuk pertama kalinya menjadi negatif di -$5,9 miliar karena belanja modal melonjak. Perusahaan juga menaikkan panduan belanja modal tahunan menjadi $195-$205 miliar, memicu kekhawatiran investor tentang tekanan keuangan dari perang AI. CEO Sundar Pichai menekankan investasi AI sedang membentuk ulang seluruh bisnis dan fokus kini pada pengembangan model Gemini 4. Meski laba bersih melonjak karena keuntungan investasi, pasar tetap waspada terhadap keseimbangan antara agresif berinvestasi di AI dan menjaga kesehatan keuangan jangka panjang.

Penulis:Yang Chen, Long Yue

Induk perusahaan Google, Alphabet, mengumumkan kinerja kuartal kedua. Pendapatan bisnis cloud jauh melampaui ekspektasi Wall Street, dan backlog pesanan cloud untuk pertama kalinya menembus tonggak $500 miliar. Namun fokus pasar dengan cepat beralih ke sisi lain: ini adalah pertama kalinya dalam puluhan tahun sejak Google go public, arus kas bebasnya berubah menjadi negatif. Sementara itu, perusahaan untuk kedua kalinya tahun ini menaikkan panduan pengeluaran modal tahunan, yang secara tiba-tiba meningkatkan kekhawatiran investor apakah taruhan besar AI dapat membawa imbal hasil yang sesuai.

Hingga 30 Juni pada kuartal kedua, Alphabet meraih pendapatan sebesar $119,796 miliar, meningkat 24% tahun ke tahun; berdasarkan kurs tetap meningkat 23%, mencatat pertumbuhan pendapatan dua digit untuk kuartal ke-12 berturut-turut. Laba operasional meningkat 30% menjadi $40,77 miliar, dan margin operasional meningkat 2 poin persentase menjadi 34%.

Di antaranya,pendapatan Google Cloud mencapai $24,768 miliar, melampaui ekspektasi pasar sebesar $22,46 miliar, melonjak 82% tahun ke tahun, mencatat pertumbuhan tercepat dalam beberapa tahun terakhir, menunjukkan investasi AI terus dikonversi menjadi imbal hasil komersial. Pendapatan iklan pencarian adalah $63,27 miliar, sedikit di bawah ekspektasi pasar sebesar $63,28 miliar.

Alphabet memegang saham di beberapa perusahaan termasuk Anthropic dan SpaceX. Terpengaruh oleh peningkatan signifikan keuntungan yang belum terealisasi dari sekuritas ekuitas,pendapatan investasi kuartal ini mendekati $100 miliar, mendorong laba bersih yang diatribusikan kepada pemegang saham biasa meningkat 298% menjadi $112,107 miliar.

Setelah laporan keuangan dirilis, saham Google berfluktuasi ringan. Dalam konferensi telepon laporan keuangan, Google menaikkan panduan pengeluaran modal tahunan menjadi antara $1,95 triliun hingga $2,05 triliun, dari perkiraan sebelumnya $1,8 triliun - $1,9 triliun. Setelah berita dirilis, pasar khawatir apakah pengeluaran modal yang besar dapat membawa imbal hasil yang sesuai, dan saham Google jatuh 4,2%.

Arus Kas Bebas Pertama Kali Negatif, Pengeluaran Modal Dinaikkan Lagi

Pengeluaran modal Alphabet kuartal kedua mencapai $44,924 miliar, jauh lebih tinggi dari $22,446 miliar pada periode yang sama tahun lalu,secara langsung menyebabkan arus kas bebas kuartal ini menjadi -$5,855 miliar (sekitar -$5,9 miliar) — ini adalah pertama kalinya arus kas bebas kuartalan Google negatif sejak puluhan tahun go public.

Arus kas bebas adalah indikator untuk mengukur kas yang tersedia bagi perusahaan untuk membayar utang atau mengembalikan modal kepada pemegang saham setelah menutupi biaya operasional dan pengeluaran modal. Ini selalu menjadi tolok ukur inti Wall Street untuk menilai kesehatan keuangan perusahaan teknologi.

Dalam konferensi telepon laporan keuangan, Chief Financial Officer Anat Ashkenazi mengumumkan,panduan pengeluaran modal tahunan 2026 dinaikkan menjadi $1,95 triliun - $2,05 triliun, lebih tinggi dari ekspektasi sebelumnya $1,8 triliun - $1,9 triliun, dan juga melebihi prediksi analis sebelumnya sekitar $1,86 triliun. Ini adalah kedua kalinya tahun ini Google menaikkan panduan pengeluaran modal — pada April tahun ini, telah menaikkan ekspektasi dari level sebelumnya menjadi maksimum $1,9 triliun.

Ashkenazi menyatakan: "Kami memperkirakan arus kas bebas akan terus mengalami tekanan, didorong oleh investasi kami dalam infrastruktur teknologi, yang memungkinkan kami untuk menangkap peluang AI dan terus membawa imbal hasil yang signifikan."

Namun setelah pengumuman, harga saham langsung turun. Kekhawatiran investor adalah: Google dengan cepat bertransformasi dari perusahaan aset ringan menjadi perusahaan intensif modal. Untuk mendukung investasi infrastruktur AI yang besar, Alphabet baru-baru ini meminjam hampir $1 triliun, dan pada Juni menyelesaikan penerbitan saham pertama dalam lebih dari dua puluh tahun sejak go public, mengumpulkan dana bersih sekitar $85 miliar — ini merupakan pembalikan yang mencolok dari strategi pembelian kembali saham yang berkelanjutan selama bertahun-tahun sebelumnya.

Analis Senior Investing.com Thomas Monteiro dengan tegas menyatakan: "Kenaikan lagi pengeluaran modal tidak menguntungkan bagi Alphabet. Ditambah dengan lingkungan suku bunga yang naik dan ketegangan pasokan dan permintaan infrastruktur AI yang berlanjut, logika 'mengandalkan arus kas operasional untuk membentuk darah sendiri' mulai goyah."

Namun, Managing Director perusahaan manajemen aset SLC Management, Dec Mullarkey, bersikap relatif optimis: "Pasar ingin melihat penyedia cloud hyperscale berjuang keras untuk memperebutkan kepemimpinan AI, tetapi tidak dengan mengorbankan profitabilitas. Saat ini Alphabet masih mempertahankan keseimbangan ini."

Ashkenazi menambahkan bahwa perusahaan akan menggunakan arus kas operasional, utang, dan pembiayaan ekuitas secara komprehensif untuk mendukung pengeluaran, dan dengan tegas menyatakan tidak akan menerbitkan lebih banyak saham di luar cakupan yang telah diumumkan, sambil menekankan akan mempertahankan neraca yang sehat.

Google Cloud Menjadi Mesin Pertumbuhan Terbesar

Dilihat berdasarkan segmen bisnis, Google Cloud terus menjadi bisnis dengan pertumbuhan tercepat Alphabet.

Kuartal kedua, pendapatan Google Cloud mencapai $24,768 miliar, meningkat 82% tahun ke tahun, lebih cepat dari sebelumnya. Perusahaan menyatakan, pertumbuhan terutama berasal dari solusi AI perusahaan Google Cloud Platform (GCP), infrastruktur AI perusahaan, serta permintaan berkelanjutan untuk layanan cloud inti. Pada saat yang sama, laba operasional Google Cloud mencapai $8,814 miliar, meningkat signifikan dari $2,826 miliar pada periode yang sama tahun lalu, menunjukkan peningkatan profitabilitas yang jelas.

Backlog pesanan bisnis cloud (backlog, yaitu jumlah kontrak yang telah ditandatangani tetapi belum dikonfirmasi sebagai pendapatan) meningkat menjadi $514 miliar, dari sekitar $460 miliar pada kuartal sebelumnya, untuk pertama kalinya menembus $500 miliar. Perusahaan menyatakan, lebih dari setengahnya diperkirakan akan dikonfirmasi sebagai pendapatan dalam 24 bulan ke depan, dengan pelanggan mencakup "beragam campuran basis pelanggan."

Monteiro menyatakan, kinerja bisnis cloud yang melampaui ekspektasi setidaknya menunjukkan dengan jelas bahwa investasi AI perusahaan sedang "dikonversi menjadi pendapatan profitabel yang tumbuh cepat, dengan kontrak terkait langsung terealisasi setelah kapasitas dibangun."

Meskipun Google Cloud masih tertinggal dari Amazon AWS dan Microsoft Azure, dengan permintaan yang kuat dari perusahaan rintisan AI dan pelanggan perusahaan untuk infrastruktur AI, ia telah menjadi salah satu bisnis dengan pertumbuhan tercepat Alphabet.

Sebaliknya, bisnis iklan tradisional tetap menunjukkan pertumbuhan yang stabil:

  • Pendapatan Google Search dan bisnis lainnya $63,271 miliar, meningkat 17% tahun ke tahun;
  • Pendapatan iklan YouTube $11,055 miliar, meningkat 13% tahun ke tahun; Dalam hal pengguna unik bulanan YouTube, selama Piala Dunia 2026, lebih dari 1,7 miliar pengguna unik menonton video terkait melalui platform ini, semakin mendorong pertumbuhan traffic;
  • Pendapatan bisnis langganan, platform, dan perangkat Google $12,911 miliar, meningkat 15% tahun ke tahun.

Secara keseluruhan, pendapatan bisnis Google Services mencapai $94,54 miliar, meningkat 15% tahun ke tahun.

CEO: Investasi AI Sedang Membentuk Ulang Seluruh Google, Fokus pada Gemini 4

CEO Alphabet Sundar Pichai menyatakan, investasi AI perusahaan sedang mendefinisikan ulang seluruh bisnis. Dia mengatakan kepada investor: "Terasa seperti kami berada di tahap yang sangat awal dari transformasi struktural jangka panjang di banyak bidang... Selama setahun terakhir, kami semakin optimis tentang peluang di masa depan."

Dia mengungkapkan, saat ini hampir 90% perusahaan Fortune 100 menggunakan Gemini Enterprise; Model Gemini memproses 22 miliar Token API per menit, dan pengguna aktif bulanan Gemini App mencapai 950 juta. Analis Kepala eMarketer Nate Elliott mencatat: "Gemini hanya selangkah lagi untuk menjadi produk AI konsumen tingkat miliaran pengguna ketiga Google (bersama AI Overviews dan AI Mode)."

Dalam hal peta jalan model, Pichai memusatkan perhatian pada model flagship generasi berikutnya Gemini 4, menyebutnya sebagai 'model frontier generasi berikutnya yang lebih besar', saat ini fokus pada daya komputasi untuk memprioritaskan pelatihan, dan menyatakan bahwa ritme rilis model Google akan semakin cepat. Rilis tertunda Gemini 3.5 Pro sebelumnya telah memicu pertanyaan eksternal tentang daya saing Google di bidang seperti pemrograman AI, di mana Anthropic dan OpenAI telah memperoleh keunggulan yang jelas di kalangan pengembang.

Pada saat yang sama, fitur AI terus mendorong pertumbuhan volume kueri pencarian Google, permintaan produk keamanan siber perusahaan juga tetap kuat, dan Gemini 3.5 Flash Cyber yang baru diluncurkan menunjukkan kinerja luar biasa dalam efisiensi biaya. Selain itu, selama Piala Dunia 2026, lebih dari 1,7 miliar pengguna unik menonton video terkait melalui YouTube, semakin mendorong pertumbuhan traffic platform.

Pichai menyatakan, "strategi AI full-stack terdiferensiasi" perusahaan terus menciptakan nilai komersial yang dapat diukur bagi konsumen, pelanggan perusahaan, dan mitra.

Terus Meningkatkan Infrastruktur AI

Untuk memenuhi permintaan daya komputasi AI yang terus tumbuh, Alphabet semakin memperkuat pembiayaan di kuartal kedua.

Perusahaan menyelesaikan penerbitan saham Kelas A, Kelas C, dan Saham Preferen Konversi Wajib pada Juni, mengumpulkan dana bersih $49,6 miliar; pada saat yang sama menerbitkan obligasi senior tanpa jaminan senilai $20,3 miliar; juga menetapkan rencana penerbitan saham ATM maksimum $40 miliar, yang hingga akhir kuartal kedua belum diluncurkan. Langkah-langkah di atas membuat Alphabet baru-baru ini secara kumulatif meminjam hampir $1 triliun.

Karena pengeluaran modal meningkat drastis, arus kas bebas kuartal ini menjadi -$5,855 miliar, namun arus kas bebas selama 12 bulan terakhir masih mencapai $53,273 miliar. Pada saat yang sama, total pengeluaran modal empat penyedia cloud hyperscale (Google, Meta, Microsoft, Amazon) pada tahun 2026 diperkirakan akan menembus $725 miliar, dan arus kas bebas seluruh industri teknologi telah turun ke level terendah dalam satu dekade.

Secara keseluruhan, laporan keuangan ini menunjukkan "dualitas" yang jelas: ledakan pertumbuhan bisnis cloud dan backlog pesanan menembus $500 miliar, mengkonfirmasi investasi AI mulai menghasilkan imbal hasil komersial; namun arus kas bebas pertama kali negatif dan pengeluaran modal dinaikkan untuk kedua kalinya dalam tahun ini, membuat pasar tetap sangat waspada terhadap keberlanjutan perlombaan senjata AI ini. Apakah Google dapat terus berjalan di atas tali antara memperebutkan kepemimpinan AI dan menjaga kesehatan keuangan, akan menjadi proposisi inti yang paling diperhatikan investor dalam beberapa kuartal ke depan.

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Related Questions

QMengapa aliran kas bebas Google untuk pertama kalinya menjadi negatif di kuartal kedua?

AAliran kas bebas Google menjadi negatif (-$58.55 miliar) untuk pertama kalinya karena peningkatan drastis dalam pengeluaran modal (capex) kuartal ini menjadi $449.24 miliar, jauh lebih tinggi dibandingkan periode yang sama tahun lalu ($224.46 miliar). Ini didorong oleh investasi besar-besaran dalam infrastruktur teknologi untuk menangkap peluang AI.

QBerapa pertumbuhan pendapatan Google Cloud dan bagaimana performanya dibandingkan ekspektasi pasar?

APendapatan Google Cloud tumbuh 82% secara tahunan (year-on-year/YoY) menjadi $247.68 miliar di kuartal kedua. Angka ini melampaui ekspektasi pasar yang sebesar $224.6 miliar dan merupakan pertumbuhan tercepat dalam beberapa tahun terakhir.

QPanduan pengeluaran modal (capex) tahunan penuh Google dinaikkan menjadi berapa, dan apa implikasinya?

AGoogle menaikkan panduan pengeluaran modal (capex) untuk tahun 2026 menjadi antara $195 miliar hingga $205 miliar, lebih tinggi dari perkiraan sebelumnya ($180-190 miliar). Ini adalah kenaikan kedua tahun ini dan menunjukkan intensitas 'perlombaan senjata' AI, yang meningkatkan kekhawatiran investor tentang tekanan berkelanjutan pada aliran kas bebas dan kemampuan perusahaan untuk menghasilkan imbal hasil yang sepadan dari investasi besar ini.

QApa yang menyebabkan laba bersih Google melonjak 298% meskipun aliran kas bebas negatif?

ALaba bersih yang melonjak 298% menjadi $1121.07 miliar terutama disebabkan oleh peningkatan besar dalam keuntungan belum terealisasi (unrealized gains) dari investasi sekuritas ekuitas, yang hampir mencapai $1000 miliar. Ini termasuk saham di perusahaan seperti Anthropic dan SpaceX. Keuntungan ini adalah akuntansi non-tunai dan tidak memengaruhi aliran kas operasional.

QMenurut CEO Sundar Pichai, bagaimana investasi AI mengubah Google dan apa fokus model selanjutnya?

AMenurut CEO Sundar Pichai, investasi AI sedang mendefinisikan ulang seluruh bisnis Google. Dia menyebut perusahaan berada pada 'tahap sangat awal dari beberapa pergeseran struktural jangka panjang'. Fokus model ke depan adalah pada model andalan generasi berikutnya, Gemini 4, yang digambarkan sebagai 'model terdepan skala besar generasi berikutnya'. Google sedang memprioritaskan daya komputasi untuk pelatihannya dan berencana mempercepat ritme peluncuran model.

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What is $S$

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.

890 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

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