Artificial Intelligence

Google Cloud’s CEO Thomas Kurian says the division is already profiting significantly from AI investments. At a recent conference, Kurian outlined monetization strategies including consumption-based pricing for AI infrastructure (GPUs, TPUs, models via “tokens”) and subscription models for services like cybersecurity and Google Workspace. Upselling to higher-priced AI tiers also contributes to revenue growth. Google Cloud’s customer commitment backlog is at $106 billion, and it secured a $10 billion cloud contract with Meta. Cloud revenue grew 32% year-over-year in the latest quarter.

Oracle shares surged after hours due to optimistic growth projections driven by new cloud contracts, overshadowing slight earnings and revenue misses. Q1 revenue rose 12% to $14.93 billion. Remaining Performance Obligation skyrocketed 359% to $455 billion, fueled by deals like OpenAI’s 4.5 gigawatt data center agreement. Oracle is leveraging AI, integrating Google’s Gemini, and launching Oracle AI Database. Cloud infrastructure revenue grew 55%. Oracle projects significant revenue growth through 2030, with substantial capital expenditure increases planned.

The UAE’s Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) introduced K2 Think, a compact reasoning model challenging OpenAI and DeepSeek. Developed with G42, K2 Think utilizes 32 billion parameters and Alibaba’s Qwen 2.5, achieving competitive benchmark results in math and science. MBZUAI emphasizes its focus on scientific advancements, aiming to accelerate research with limited resources. This development underscores the UAE’s ambition to become a key player in the global AI landscape, joining the US and China in the race for AI innovation.

Thinking Machines is partnering with OpenAI to become the first official Services Partner in APAC, aiming to help businesses in the region translate AI investments into tangible outcomes. Many APAC enterprises are utilizing AI but struggle to scale beyond pilot projects; this partnership addresses this challenge. Thinking Machines will offer solutions like executive training and support for custom AI application development. CEO Stephanie Sy emphasizes building capability, focusing on skills, strategies, and support systems for effective human-AI collaboration, and viewing AI as a business transformation strategy driven by leadership.

Nebius Group shares surged in premarket trading after announcing a $19.4 billion agreement with Microsoft. Nebius will provide cloud computing power for AI workloads, generating an expected $17.4 billion in revenue through 2031. The deal highlights the increasing demand for specialized AI infrastructure. Nebius, which spun off from Yandex in 2023, specializes in GPUs for AI model training and boasts investors like Nvidia and Accel. The partnership also boosted shares of competitor CoreWeave, reflecting broader optimism in the AI infrastructure market.

Booking.com utilizes AI to combat increasingly complex online fraud and safeguard user data. The company processes vast amounts of data, employing both vendor-specific and in-house AI solutions to detect and neutralize threats like fake reviews, phishing, and account takeovers. This hybrid approach balances deployment speed with customization. Balancing performance and cost is a key challenge. Proactive threat detection through AI assistants enhances security analyst efficiency, while fairness, human oversight, explainability, and privacy are prioritized in AI implementation. Future efforts will focus on optimized integration of AI solutions.

Following a favorable antitrust ruling that boosted Alphabet’s market capitalization by $230 billion, CEO Sundar Pichai was congratulated by President Trump at a White House dinner. The discussion also covered AI, with Pichai emphasizing its transformative potential and praising the administration’s AI action plan, which aims to prioritize American competitiveness and exclude “Woke AI.” Google remains engaged in a lawsuit with Trump’s legal team regarding YouTube’s suspension of his accounts. Earlier, Pichai attended the White House “AI Education Taskforce” event.

President Trump reiterated his intention to impose tariffs on semiconductor imports from companies not establishing or expanding U.S. manufacturing. At a White House dinner with tech leaders like Apple’s Tim Cook and Meta’s Mark Zuckerberg, Trump indicated companies investing domestically, like Apple, might be exempt. This follows previous tariff threats and aligns with the U.S. push to onshore semiconductor production, incentivized by the CHIPS Act. While details remain unclear, the event highlights the role of tech in shaping economic policy, with AI also a key discussion point.

Bret Taylor’s AI startup, Sierra, achieved unicorn status with a $350 million funding round, valuing it at $10 billion. Sierra joins a select group of AI companies exceeding this valuation, fueled by investor enthusiasm. Founded in 2023, Sierra focuses on AI agents for customer service, claiming to assist millions with diverse tasks. The funding, led by Greenoaks, will support platform development, infrastructure scaling, and R&D. This follows Anthropic’s recent funding and highlights the intense AI investment landscape, emphasizing ethical AI development for long-term success.

President Trump will host a dinner with tech and business leaders, including Zuckerberg, Cook, Gates, and Altman, at the White House to discuss policy initiatives and partnerships. Following a White House AI event hosted by the First Lady, the meeting aims to strengthen ties between the administration and the tech sector, focusing on AI and the digital economy. Key figures from OpenAI, Google, Palantir, and other companies are invited. Tesla’s Elon Musk is a notable absence. David Sacks and Jared Isaacman are also slated to attend.