Google(GOOGL.US) establishes three major future engines: quantum computing, robotics, and AI-driven pharmaceuticals

Google (GOOGL.US) recently unveiled its next-phase strategic blueprint, establishing quantum computing, robotics, and AI-driven drug development as the core engines for long-term growth. This strategic transformation is driven by the comprehensive upgrade of global generative AI competition—Google is accelerating commercialization of cutting-edge technologies through high-intensity capital investment to break through the growth ceiling of search advertising. Reports indicate the company plans to turn laboratory-stage “forward-looking projects” into pillar industries with trillion-dollar market potential, with R&D investment intensity expected to reach record highs.

In terms of competitive landscape, Google continues to demonstrate its technological barrier advantages. Although new AI search engines like Perplexity have emerged over the past two years, attempting to challenge Google’s market dominance with differentiated technical routes, data shows these competitors have not shaken its dominance: as of February 2025, Google Search held a 90.15% global market share, remaining stable at 90.01% in February 2026.

Although Tesla’s (TSLA.US) autonomous taxi service has been anticipated for years, Google’s Waymo (WAYMO) has outpaced the company led by Elon Musk in deployment speed across major U.S. cities. Last year, Waymo Driver launched in five U.S. cities, with five more cities to go live this year, and international markets are imminent. In contrast, Tesla’s Robotaxi service is currently only available in parts of Austin, Texas. Waymo also collaborates with DoorDash (DASH.US) on autonomous delivery services.

Google Senior Vice President and CFO Ruth Porat stated that they remain focused on converting surging capital expenditures into future profitability.

“Looking back five to ten years, some of Waymo’s autonomous driving experiments have now entered commercialization, but a significant portion is still in the technology validation stage,” Porat said Tuesday at the Morgan Stanley Technology, Media, and Telecom Conference. “Supporting these frontier explorations is the Gemini infrastructure and advanced model system as the foundation of Google’s technology. For example, in cloud computing strategy— as I mentioned in the earnings call— this year we will deploy more than half of our machine learning compute resources to the cloud, marking a major upgrade in our technical architecture.”

On the technical investment front, Google continues to ramp up capital expenditure. In 2025, actual capital spending reached $91 billion, significantly above the initial guidance range of $70-75 billion; for 2026, planned expenditure will further rise to $175-185 billion. While about 70% of this massive investment is allocated to data center expansion and core computing power upgrades, a substantial portion is directed toward future innovation fields such as quantum computing, robotics, and AI drug development, creating a dual-drive pattern of “current competitiveness” and “future growth poles.”

“We have yet to deeply explore the potential of Isomorphic Labs and how AI will reshape the paradigm of drug discovery—especially in overcoming current medical challenges and making breakthrough contributions to human health,” Porat said. “This is where my professional background lies, and I deeply understand: when AI can compress new drug development cycles from ten years to three, it’s not just a technological leap but a paradigm revolution in global health.”

She further elaborated on the quantum computing strategy: “While quantum computing has not yet entered commercialization, we expect to achieve key application breakthroughs within five years. Our team has already made substantial progress in optimizing algorithms and hardware collaboration, and in the future, it will unleash disruptive potential in materials science, cryptography, and other fields.”

When discussing robotics, she emphasized: “The deep integration of robotics technologies, including Intrinsic, with AI is fostering multiple new growth engines within Google. This underscores the importance of strategic investment discipline—we need to precisely select from dozens of frontier fields, and the three confirmed core tracks all have market potentials in the hundreds of billions.”

“The results of these investments are beginning to show,” she presented data, “the ROI improvement plan we committed to two years ago is now evident from the data; it has already driven revenue growth across multiple business units and will propel future expansion.”