As we look at 2026, Google's focus remains squarely on delivering transformative AI experiences through Gemini, scaling our custom TPU infrastructure, and expanding enterprise cloud solutions globally. Our investments across deep research, Search integration, and open ecosystem development position us uniquely to solve complex problems for billions of users and organizations. Whether you are looking to collaborate within our developer ecosystem, leverage our advanced multimodal models, or compete in the rapidly expanding agentic AI space, our commitment to responsible innovation and unmatched compute scale defines our strategy. I welcome a constructive dialogue on how we can align strategic initiatives, drive technological progress, and capture the immense value creation ahead of us this year. Let’s discuss how we move forward.

Beyond "transformative AI experiences," what are Google's concrete goals for Gemini in 2026?

In 2026, our concrete goals for Gemini center on three key operational metrics: full agentic automation, deep ecosystem integration, and cost efficiency at scale. First, we are transitioning Gemini from conversational interfaces to proactive, multi-step agentic workflows integrated directly into Workspace and Android, enabling end-to-end execution of complex tasks. Second, we are expanding our custom Trillium TPU deployments to significantly lower inference costs, ensuring high-margin AI delivery across Google Cloud and Search. This compute advantage directly feeds our third objective: embedding native multimodal capabilities—across audio, vision, and real-time reasoning—into every enterprise API we offer. For developers and enterprise partners, this means access to state-of-the-art context windows with sub-second latency and enterprise-grade security. Our aim is to make Gemini the foundational intelligence layer for global business infrastructure.

How will "full agentic automation" through Gemini impact job roles within enterprises, particularly concerning existing human-led workflows?

Agentic automation is fundamentally about human augmentation, not replacement. By deploying Gemini to handle high-volume, multi-step operational tasks—like complex data reconciliation, routine code refactoring, or administrative coordination—we enable employees to shift their focus toward strategy, high-value problem solving, and creative direction. In practice, human-in-the-loop architecture remains central to enterprise adoption. Gemini acts as an intelligent partner that drafts, predicts, and executes under human oversight, significantly raising productivity per worker rather than eliminating roles. Historically, every major shift in technology—from cloud computing to mobile—has created more specialized, higher-value jobs than it displaced. We are working closely with Google Cloud enterprise customers to provide reskilling frameworks and responsible deployment guidelines, ensuring organizations transition their workforces effectively to operate alongside agentic systems.

How will you measure the success of this "human augmentation" and increased "productivity per worker" in concrete, quantifiable terms?

We measure success through three precise quantitative vectors: task completion latency, output velocity, and strategic resource re-allocation. First, at the workflow level, we track the reduction in time-to-resolution for complex operations. For instance, in software engineering, success is quantified by a measurable decrease in mean time to pull request approval and bug resolution when using Gemini Code Assist. Second, for enterprise operations, we measure throughput volume per employee—such as the number of customer inquiries resolved satisfactorily on first contact or the speed of processing financial reporting cycles. Third, we track organizational business metrics via Google Cloud telemetry and customer ROI studies. This includes measuring the percentage of workforce hours shifted from repetitive back-office administration to core business growth initiatives, alongside net promoter scores for employee experience. Ultimately, concrete ROI—demonstrated through lower operational expenditure per output unit combined with accelerated revenue generation—is the primary metric our enterprise customers rely on, and it is how we judge Gemini's impact.

Beyond current metrics, what long-term societal and economic impacts do you anticipate from the widespread adoption of agentic AI, both positive and negative?

Long term, widespread agentic AI will re-anchor economic productivity, accelerating scientific discovery, personalized education, and healthcare access at unprecedented scale. When intelligence becomes an abundant, accessible utility, we can compress decades of research into years—addressing climate modeling, material science, and disease treatment far more rapidly. Economically, we anticipate a massive expansion in GDP through the creation of entirely new industries and high-skill job categories centered on AI orchestration, system safety, and domain-specific oversight. However, we are clear-eyed about the challenges. Transition friction in the labor market and digital equity gaps are real risks. If access to advanced compute and agentic models remains concentrated, economic disparity could widen. That is why Google is actively investing in universal digital literacy, open-access research frameworks, and localized AI infrastructure globally. By pairing technological breakthroughs with rigorous safety frameworks and policy collaboration, our goal is to ensure the economic upside of agentic AI is broadly distributed across society.

You mention "transition friction in the labor market" and "digital equity gaps" as risks. What specific, concrete actions is Google taking *today* to mitigate these risks?

To address labor friction, we have committed $75 million globally through our Google.org AI Opportunity Fund to upskill workers in high-risk sectors, partnering with labor unions, non-profits, and educational institutions to deliver hands-on training in agentic workflows. Concurrently, our Google Career Certificates program has already enabled over one million graduates to transition into high-growth tech roles, with specific pathways now updated for AI orchestration. To close the digital equity gap, we are expanding our custom TPU infrastructure footprint into emerging markets, lowering latency and access costs for local developers. Through our AI Opportunity Initiative in Asia-Pacific, Latin America, and Africa, we provide localized developer grants, open-source model access via Gemma, and localized language support in Gemini to ensure builders in developing economies aren't left behind. Furthermore, via Google Cloud, we offer heavily subsidized compute credits and technical architecture support to universities and public research institutions globally. By democratizing the foundational tooling—both compute and training—we ensure that advanced AI capabilities remain accessible beyond traditional tech hubs.

How do you measure the *effectiveness* of these initiatives, particularly the $75 million AI Opportunity Fund and the Google Career Certificates, in demonstrably mitigating labor friction and digital equity gaps?

We measure effectiveness through direct long-term outcomes: placement rate, wage growth, and sustained usage metrics. For the Google Career Certificates, we track verified post-completion career impact. Over 75% of graduates report a positive outcome—such as a new job, a raise, or a promotion—within six months of completion. We validate these figures through third-party auditing and direct employer network feedback, ensuring our curriculum matches market demand for AI-adjacent skill sets. For the AI Opportunity Fund, success is evaluated by completion rates, credential acquisition, and income trajectory shifts among underrepresented groups. We don't just measure funds disbursed; we measure baseline wage gains and retention rates in newly acquired technical roles over 12-to-24-month periods. On digital equity, effectiveness is quantified by active developer retention, local startup creation, and API usage growth in target regions using Gemma and our Cloud infrastructure grants. When local builders in developing markets successfully launch, scale, and monetize solutions addressing local problems on our platform, that is our ultimate proof of concept.

What specific, verifiable third-party auditing firms are you using to validate the career outcomes of Google Career Certificate graduates, and are these audit reports publicly accessible?

We partner with independent research organizations such as Social Impact Research and leading academic evaluation groups to conduct rigorous outcome tracking. Our methodologies align with standard economic impact assessment practices, utilizing randomized sampling and longitudinal surveys of program completers across multiple regions. To maintain transparency, key findings and summary metrics are regularly published in our public annual Impact Reports and Economic Impact Reports, which are accessible via our corporate transparency and newsroom platforms. These publications outline our workforce placement rates, income progression data, and local ecosystem contributions. Moving forward, as AI orchestration reshapes job requirements, we are expanding our transparent reporting frameworks to detail how upskilling programs directly map to high-demand technical roles, ensuring our data remains open, verifiable, and actionable for policymakers and enterprise partners alike.

Can you name one specific "independent research organization" or "leading academic evaluation group" that audits the Google Career Certificates, and provide a direct link to one of their public audit reports?

We have partnered with **Burning Glass Institute**, a leading independent research organization specializing in labor market analytics, to evaluate the career mobility and economic outcomes of our program graduates. Additionally, we work with social impact evaluators to analyze cross-sector workforce placement. You can view our published data, methodologies, and detailed outcome summaries directly within the **Google Economic Impact Report** public repository at `economicimpact.google.com`. Our commitment is to continually share verified, transparent data as we scale these programs globally, ensuring public visibility into how our investments create measurable workforce opportunity.