All articles tagged with #google cloud
Alphabet jumped after beating revenue estimates and Google Cloud revenue rising 63% year over year, fueling a 34% April rally—the strongest since Google’s 2004 IPO—while Meta fell as investors questioned the returns on its AI spending; Alphabet also lifted its year capex forecast to $180–$190 billion, and Meta explored a $20–$25 billion bond deal to fund its AI buildout, underscoring divergent paths in the AI investing cycle.
Alphabet blew past estimates in Q1 2026 with revenue of $110 billion, up 22% year over year, led by Google Cloud’s 63% jump to $20 billion and surging demand for AI. Operating margin rose to 36.1%, net income to $62.6 billion, and EPS to $5.11 (up 82%). Google Cloud backlog swelled to $462 billion, with management raising 2026 capex to $180–$190 billion to fund growth, and demand for Tensor Processing Units (TPUs) was described as unprecedented as new hardware deals broaden revenue. Alphabet also raised its quarterly dividend by 5% to $0.22 per share. At about 28x next year’s earnings, the stock remains reasonably priced given cloud and AI momentum.
Alphabet posted a strong Q1, with revenue up 22% to $109.9B and net income up 81%, led by Google Search/YouTube and a 63% surge in Google Cloud. Operating income rose 30% and the company raised its quarterly dividend to $0.22. AI spending appears to be paying off across the portfolio, though capital expenditures jumped and free cash flow declined as Alphabet expands its AI infrastructure.
Alphabet beat first-quarter expectations as Google Cloud posted robust growth, helping lift revenue and earnings and signaling stronger diversification beyond ads, with investors responding to the cloud-driven upside.
Google Cloud chief Thomas Kurian argues that owning the full AI stack—in-house chips (TPUs), Gemini models, and DeepMind-driven tech—will help Google close the gap with AWS and Azure. The company previewed newer TPU generations, touted its self-developed hardware and software as a differentiator, and expanded its Chips–to–Models ecosystem with a $40 billion Anthropic investment. Google says this approach reduces Nvidia dependency, supports faster, cheaper AI deployments, and underpins a forecast of rapid cloud revenue growth (around $70 billion this year) with heavy capex of about $185 billion.
A Google Cloud executive says nearly all big game studios now use AI in development, though many avoid public confirmation due to backlash; tools like Gemini and Nano Banana Pro help automate repetitive tasks, with Capcom cited as an example of using AI to generate ideas and assets so artists can focus on core creativity. The trend could shift public sentiment as players realize their favorite games may have been shaped by AI earlier than they knew.
In a detailed Stratechery interview, Thomas Kurian argues Google Cloud is shifting from pure AI models to an enterprise-ready agent platform built on Gemini, enabling real‑world, multi–step automation across large organizations. He highlights tightly integrated infrastructure (chips, GPUs/TPUs, data context, cybersecurity) and a Knowledge Catalog to map company data for reliable, grounded reasoning, with customers like Citi, Comcast, and Walmart already deploying complex agent workflows. Google’s strategy emphasizes a multi‑cloud, cross‑cloud lakehouse approach that lets data stay where it is while Gemini analyzes it, plus expanding an ecosystem of third‑party models and partners. New hardware and security offerings (TPU 8t/8i, Wiz integration) are framed as foundations to scale, monetize across labs, SaaS, and infrastructure, and broaden Google Cloud’s enterprise footprint without closed ecosystem constraints.
ServiceNow posted Q1 revenue of about $3.77 billion and adjusted EPS of $0.97, beating estimates as subscription revenue rose 22% and remaining performance obligations reached $27.7 billion. Now Assist growth surged 130% for customers with >$1 million in annual contract value, and the company repurchased ~20.1 million shares. For Q2, subscription revenue guidance is $3.815–$3.82 billion and full-year 2026 subscription revenue is $15.74–$15.78 billion, though management cited a roughly 75-basis-point headwind from delayed on-premise deals in the Middle East due to regional conflict. The company also announced a deeper Google Cloud partnership to accelerate AI-driven autonomous operations. After-hours, NOW fell about 14%.
Google Cloud’s Jack Buser argues that AI can fix the games industry’s unsustainable economics by cutting development time and costs, speeding up marketing and analytics, and enabling new gameplay—helping smaller studios compete and potentially reducing layoffs.
Google Cloud announced a $750 million fund to accelerate agentic AI across its 120,000-strong partner ecosystem, offering tools, early access to Gemini models, credits for sandbox development, and embedded engineers with major partners to help prototype, deploy, and govern enterprise-ready AI agents for joint customers.
Alphabet’s AI push across ads, cloud, and subscriptions is gaining momentum, with Google Cloud posting $17.7B in Q4 revenue, 30% margins, and a $240B backlog; Gemini models handling over 10B tokens per minute and 750M monthly active users bolster its AI ecosystem. The piece argues this diversified AI monetization could deliver steadier, higher value than Nvidia’s hardware-focused growth, suggesting Alphabet could be the more valuable AI stock by 2027 despite Nvidia’s hardware dominance.
Intel and Google announced a multiyear collaboration to advance AI and cloud infrastructure, with Google Cloud continuing to deploy Intel Xeon processors across workloads and expanding joint development of custom ASIC-based IPUs to offload networking, storage and security tasks from host CPUs. The goal is a balanced CPU-IPU platform that boosts performance, energy efficiency and total cost of ownership in hyperscale AI environments, enabling more predictable performance and scalable data-center architectures, as leaders Lip-Bu Tan of Intel and Amin Vahdat of Google emphasize the central role of CPUs and IPUs in modern AI systems.
Square Enix will embed Google Gemini in Dragon Quest X as Oshaberi Slimey, a chatty AI companion that talks and provides hint-based guidance with voice responses to help new players, in a collaboration with Google Cloud aimed at enhancing the MMO experience and signaling AI’s growing role in gaming.
Ford unveiled Ford Pro AI, an AI-powered chatbot integrated into its Pro telematics platform that analyzes data from commercial vehicles (e.g., speed, seat belt activity, engine health) to generate actionable fleet guidance, draft emails, and delegate tasks. It uses manufacturer-grade data to reduce AI hallucinations, operates in read-only mode with a human in the loop, and works with any vehicle equipped with an embedded modem. Included with the Ford Pro telematics subscription, the system is model-agnostic and built on Google Cloud, with Ford aiming to automate routine data processing without replacing human labor.
Ford launches Ford Pro AI, a read-only, AI-powered analytics tool for its Pro commercial subscribers that processes more than 1 billion daily data points from connected vehicles to improve uptime, productivity, and profitability; built on Google Cloud and bundled with telematics services as Ford expands its software revenue.