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Sundar Pichai

Sundar Pichai

CEO of Google

Appears in 9 stories

Born: June 10, 1972 (age 53 years), Madurai, India
Education: Wharton School of the University of Pennsylvania (2000–2002), Stanford University (1993–1995), Indian Institute of Technology, Kharagpur (1989–1993), and more
Spouse: Anjali Pichai
Children: Kavya Pichai and Kiran Pichai
Parents: Regunatha Pichai and Lakshmi Pichai

Notable Quotes

"Intersect will help us expand capacity, operate more nimbly in building new power generation in lockstep with new data center load, and reimagine energy solutions to drive US innovation and leadership." — Statement on Intersect acquisition, December 2025

“Back in a Flash.” —Sundar Pichai, per a report summarizing his remarks

"75 percent of all new code at Google is now AI-generated and approved by engineers." — Sundar Pichai, Google Cloud Next 2026

Stories

The great AI energy land grab

Built World

Leading $4.75B Intersect acquisition

Alphabet just paid $4.75 billion for a power company, securing 10.8 gigawatts of capacity—enough to power 8 million homes. Tech giants spent 2024 locking down nuclear reactors and signing multibillion-dollar energy deals because there's not enough electricity for AI.

Updated 1 hour ago

Google ships Gemini 3 flash everywhere—and makes speed the default

New Capabilities

Driving a product-wide push to make Gemini the default layer across Google.

The rollout didn't stop at "Flash is the default." In the days after launch, Google filled in the missing contract with developers. Gemini 3 Flash Preview is now explicitly priced in the Gemini API, with context caching rates, batch pricing, and a note that Gemini 3-era Search grounding will begin billing on January 5, 2026.

Updated Yesterday

AI takes over code authorship at major tech firms

New Capabilities

Leading Google's AI repositioning around Gemini and agentic tools

For most of computing's history, every line of production code at a major software company was typed by a human. Google CEO Sundar Pichai told an audience at Google Cloud Next 2026 on April 24 that 75 percent of new code at the company is now generated by artificial intelligence and reviewed by engineers afterward. That share was 25 percent in October 2024.

Updated Apr 26

Google releases Gemma 4 under Apache 2.0, raising the bar for open-source AI

New Capabilities

Publicly promoted the Gemma 4 launch

For two years, the most capable artificial intelligence models lived behind paywalls and API meters. Google made that harder to justify on April 2, 2026, when it released Gemma 4 — four open models ranging from 2 billion to 31 billion parameters, capable of handling text, images, video, and audio, under a fully permissive Apache 2.0 license with no usage restrictions. The competitive response was nearly immediate: Meta released Llama 5 just six days later, significantly ahead of its previously signaled Q3 2026 target, and Chinese lab DeepSeek followed on April 24 with its V4 model — a 1.6 trillion-parameter system also shipped as open-source under an MIT license. What began as a bilateral licensing contest between Google and Meta has become a six-way open-model race.

Updated Apr 24

Google search monopoly case enters appeals phase

Rule Changes

Testified in remedies trial; overseeing appeal strategy

Google has paid Apple roughly $20 billion per year to be the default search engine on iPhones and Safari. In August 2024, a federal judge ruled this arrangement—and similar deals with Samsung and others—constituted an illegal monopoly. Now both sides are appealing: the Department of Justice wants Google broken up, while Google wants the entire case thrown out.

Updated Apr 23

Google Cloud pitches itself as the operating system for enterprise AI agents

New Capabilities

Overseeing company-wide AI strategy

For two years, every major cloud vendor has been bolting artificial intelligence onto its existing products. At Google Cloud Next 2026, which opened April 22 in Las Vegas, chief executive Thomas Kurian argued that era is over. His keynote, titled 'The Agentic Cloud,' positioned Google's Gemini model not as a feature layer but as a full enterprise operating system—an orchestration engine, agent runtime, governance system, and integration bus for autonomous AI agents that act on behalf of workers, not just advise them.

Updated Apr 22

Google completes record acquisition of cloud security firm Wiz

Money Moves

Oversaw Google's largest-ever acquisition

Wiz was founded in January 2020 by four veterans of Israel's military intelligence Unit 8200. Six years later, Google paid $32 billion in cash to acquire it — the largest deal in Google's history, the largest cybersecurity acquisition ever, and more than the combined cost of Google's eight next-biggest purchases. The deal closed on March 11, 2026, after clearing both United States Department of Justice (DOJ) and European Union regulatory review without conditions. Google had tried once before, offering roughly $23 billion in mid-2024; Wiz walked away and said it would pursue an initial public offering instead. Google came back nine months later and paid 39 percent more.

Updated Mar 11

Big Tech's power grab: the race to build private energy empires

New Capabilities

Overseeing Google's pivot to power-first data center infrastructure

Google spent $4.75 billion over a year ago to acquire Intersect Power, owning the power plants feeding its AI data centers. Amazon bought a nuclear-powered campus in Pennsylvania. Microsoft restarted Three Mile Island in September 2024. Now Meta has announced nuclear deals unlocking up to 6.6 gigawatts—through partnerships with Vistra, TerraPower, and Oklo—to power American AI leadership. Tech giants aren't just buying electricity. They're securing or building the grid themselves.

Updated Feb 4

The race to scale quantum computing

New Capabilities

Overseeing Google Quantum AI initiatives

Quantum computers can already outperform classical supercomputers on specific tasks. Google's Willow chip solved a problem in five minutes that would take today's fastest machines 10 septillion years, and in October 2025 demonstrated the first verifiable quantum advantage with its Quantum Echoes algorithm—13,000 times faster than supercomputers. But scaling from today's 100-qubit systems to the million-qubit machines needed for real-world applications requires control hardware that doesn't exist yet. Current laser control systems are tabletop-sized, power-hungry, and impossible to replicate thousands of times over.

Updated Dec 28, 2025