Operational Excellence (OPEX) Daily Briefing – Thursday, November 27, 2025: GenAI Goes Mainstream: Big Tech Accelerates the Global Enterprise Automation Race.
Điểm Tin Operational Excellence (OPEX) Mỗi Ngày – Thứ Năm, Ngày 27/11/2025: GenAI Bước Vào Thời Kỳ Thương Mại Hóa Đại Chúng: Big Tech Kích Hoạt Cuộc Đua Tự Động Hóa Doanh Nghiệp.
Welcome to my unique weekday article for the paid subscriber-only edition.
Operational Excellence (OPEX) Daily Briefing – issued on weekdays (Monday to Friday).
Điểm tin Operational Excellence (OPEX) hằng ngày (phát hành các ngày thứ Hai đến thứ Sáu).
This is the bilingual post in English and Vietnamese. Vietnamese is below.
Đây là bài viết song ngữ Anh-Việt. Tiếng Việt ở bên dưới.
English
PART 1 – OFFICIAL INFORMATION
In the second half of 2024 and into 2025, the global technology market witnessed a major turning point: GenAI (Generative AI) technologies were no longer just lab experiments or developer demo models, but began to be commercialized to the mass market at an unprecedented speed. This shift has been consistently reflected in reports, product launch events, and official announcements from the world’s largest technology corporations.
According to updates from The Verge, CNBC, Reuters, and Bloomberg, three leading corporations—Google, Microsoft, and Meta—simultaneously announced deeper commercialized GenAI services for enterprises in Q3 and Q4/2024. These are no longer standalone features but complete integrated solution suites directly competing in automation, productivity, and AI infrastructure.
Microsoft created the clearest milestone by announcing the expansion of the Copilot for Business ecosystem, integrating it into Windows, Office, Teams, and the entire Azure AI Stack. CNBC reported in the first week of October 2024 that Copilot had already been deployed at scale by major enterprises in finance, law, healthcare, and logistics, demonstrating that GenAI’s commercial readiness is no longer experimental.
Google has also accelerated commercialization through Gemini for Work and Gemini for Developers, announced at Google Cloud Next 2024. According to Reuters, Google is integrating GenAI into every layer of enterprise infrastructure—from data and security to office applications—allowing businesses to build deeply automated workflows through “AI Agents” capable of handling complex tasks.
Meta, previously focused on open models, entered the commercialization stage with Llama 3.1 Enterprise, offering AI API suites for businesses through Meta Business Suite. Bloomberg noted that Meta has shifted its focus from research-oriented models to practical, real-world usage, aiming to compete directly with OpenAI and Google in enterprise applications.
Information from Bloomberg Intelligence indicates that major corporations in manufacturing, retail, energy, and professional services have started piloting or deploying thousands of “AI workflows” related to operations management, customer service, demand forecasting, data analytics, and automated reporting. This marks a shift from “AI for individuals” to “AI for enterprise operations.”
Alongside Big Tech, infrastructure companies also confirmed the GenAI commercialization trend. Nvidia, in its Q3/2024 earnings report, stated that revenue from enterprise and AI services surged due to rising demand for on-premise GenAI model deployment. According to CNBC, enterprise GPU orders for 2025 have already exceeded internal forecasts.
Another important update comes from the McKinsey Global Institute, which in its August 2024 report concluded that GenAI is entering the “mass adoption phase,” with 75% of surveyed enterprises reporting that they have tested or deployed at least one GenAI application in operations.
Gartner forecasts that by 2026, 80% of large global enterprises will use GenAI in at least three core operational functions, compared to less than 5% in 2023.
The simultaneous commercialization by Big Tech and the rapid enterprise uptake paints a clear picture: GenAI has entered the era of mass commercialization and is no longer experimental. This trend is creating intense competitive pressure among companies and forcing enterprises to reassess their operational capabilities, data readiness, security posture, and internal automation capacity.