Google’s Fairwind Program combines CodeMender with Gemini-powered cybersecurity AI to help 650+ trusted organizations discover vulnerabilities, generate verified patches, and automate security remediation.
Google Cloud
Google Cloud CEO Thomas Kurian says general-purpose AI alone cannot meet complex industry requirements, prompting the company to surround Gemini Enterprise with specialized skills, trusted data connections, agentic workflows, governance, and partner solutions.
Google Cloud is taking Gemini Enterprise deep into vertical industries, beginning with financial services and legal and combining skills, data, agents, and partners into one AI system.
Law firms that collaborated in platform design highlight industry AI opportunities to eliminate manual work and drive innovation for better client service.
On the strength of customer design partnerships and an expansive ecosystem, Google Cloud delivers AI platforms that could unlock AI innovation in support of vertical use cases.
Google Cloud and Mahindra are bringing Gemini Enterprise directly into vehicles, demonstrating how AI is moving beyond traditional digital environments and becoming embedded in physical-world endpoints.
Google Cloud’s Gemini models are coming to Oracle applications, including Oracle AI Agent Studio for Fusion Applications, giving customers more flexibility to select models while turning AI reasoning into governed workflows, approvals, transactions, and business actions.
Google Cloud and Oracle are emerging as an AI power pair, combining Gemini, Fusion applications, and Oracle AI Database to help customers accelerate enterprise AI transformation.
Google Cloud’s infrastructure strategy gives frontier AI lab Mirendil the flexibility and scale needed to speed up the AI research loop.
Oracle is expanding its Google Cloud partnership by bringing Gemini models across its enterprise AI portfolio, strengthening its flexible, multi-model approach to enterprise AI.
AI’s unprecedented growth is forcing even the world’s best-run companies to rethink traditional risk management and embrace massive, calculated bets on the future.
Microsoft, Oracle, Google Cloud, and AWS have amassed $2.3 trillion in contracted backlog, underscoring unprecedented demand across the booming cloud and AI economy.
Google Cloud’s Q2 revenue reached $24.8 billion, up $4.8 billion sequentially. Microsoft Cloud also added $4.8 billion, while AWS added $4.6 billion, suggesting remarkably close competition for incremental customer spending among the three hyperscalers.
Google Cloud delivered standout Q2 momentum, adding as much new quarterly revenue as Microsoft and more than AWS despite operating from a significantly smaller revenue base.
Google has introduced Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber, focusing on lower costs, faster AI agents, improved coding, and specialized cybersecurity capabilities for enterprise customers.
AWS delivered its strongest quarter in years, posting 37% revenue growth, a 154% backlog increase, and $42.2 billion in revenue while overtaking Microsoft in growth and strengthening its AI leadership.
While Microsoft generated $59.3 billion in quarterly cloud revenue, Google Cloud’s much faster growth suggests the AI revolution is rapidly reshaping the competitive landscape.
Microsoft’s consistency contrasts sharply with Google’s accelerating growth, revealing two very different momentum stories in today’s cloud infrastructure market.
Ahead of Microsoft and AWS earnings, Google Cloud has established a commanding growth advantage, with revenue increasing 82% and backlog soaring 390%, signaling strong customer confidence and significant future revenue opportunities.
Google Cloud’s 82% growth highlights a dramatic shift in customer demand as Microsoft and AWS prepare to report earnings in a rapidly evolving AI market.