Google Cloud CEO Thomas Kurian discussed the company's

HOST

From DailyListen, I'm Alex. Thomas Kurian, Google Cloud's CEO, just sat down with Stratechery's Ben Thompson for a wide-ranging talk on what's called the agentic moment in AI. Forget chatbots that spit back answers—these are AI agents that take action, automate workflows, handle security threats. Kurian's pushing hard on how Google Cloud's stack makes this real for businesses. More than half of executives at generative AI-using orgs already have agents in production, per their new 2026 trends report. Nearly half of those use them for customer service. But 82% of SOC analysts still fear missing real threats. Why does this matter now? Agents could reshape jobs and fix massive pain points, or create new ones. To unpack Kurian's vision and the data, we're joined by Priya, our technology analyst.

PRIYA

What this unlocks is AI that doesn't just chat—it acts. Kurian points out AI's shift from simple responses to running complex business processes end-to-end. Take their Google Cloud AI Agent Trends 2026 report: over half of executives in gen AI orgs have agents live in production. Nearly half deploy them straight to customer service, handling queries, escalations, tickets without humans looping in. That's already changing workflows. But here's the edge Google Cloud brings: integrated hardware like TPUs for raw compute power, plus their agent platform and security tools all in one stack. No stitching together rival vendors. Kurian, who's run Google Cloud since 2019 after two decades steering Oracle's cloud push as president, says customers are piling on fast. He kicked off their Next keynote stressing agents for enterprise. The report flags agents reshaping roles and expectations now, not someday.

HOST

Hold on—over half already in production? That's quicker than I figured for something this advanced. But those SOC analysts, 82% worrying about missed threats... does Kurian address how agents fix that gap right away?

PRIYA

The interesting piece is how agents attack security blind spots at speed humans can't match. Kurian says AI spots vulnerabilities by truly grokking code—way faster than manual scans. Then you fix at an aggressive clip, or risks pile up. Google Cloud's response? They eyed the top portfolio and snapped up Wiz. Now they're rolling three new Gemini-powered agents with it. Red Agent runs nonstop red-teaming on your infrastructure, probing for weaknesses like an endless attack sim. Blue Agent watches the Red team's moves and flags exactly what to patch. Green Agent jumps in and fixes it automatically. That slashes cycle times from days to minutes. Plus, their Threat Intelligence Agent maps the full threat landscape using Gemini to rank priorities. Loads of teams already use Gemini to scan codebases. 82% of SOC analysts fretting missed threats? These agents aim to catch what slips by.

HOST

Red, Blue, Green agents actually fixing code on their own—that sounds like a game-changer for overworked security teams. But what if they introduce their own bugs or miss sneaky attacks?

PRIYA

Speed's the win, but you're right—agents fixing code raises risks if they err. No research here flags specific Google Cloud agent failures yet, which is a gap; the trends report skips detailed architectures or case studies. Kurian bets on their integrated stack to minimize that: TPUs crunch models, Gemini drives smarts, Wiz bolsters defense. He notes significant customer adoption already, though exact numbers aren't public—no revenue jumps or uptake rates in the interview. Still, the 2026 report shows agentic AI reshaping roles now, with half in production. Flip side: those 82% of SOC analysts worry for a reason—agents could overlook novel threats if models lack fresh data. Google counters with continuous red-teaming via Red Agent. But without rival comparisons to AWS or Azure agents, we can't gauge if Google's edge holds up. Kurian's vision: full automation loops that outpace humans without the exhaustion.

HOST

Fair point on the gaps—no head-to-head with competitors. Kurian came from Oracle, oversaw huge dev teams there. How's his track record shaping Google Cloud's agent push?

PRIYA

Kurian's Oracle stint gives him credibility on scaling enterprise tech. Over 20 years, he was president of product development, built massive software teams, drove their cloud strategy from behind to contender. Resigned in 2018, joined Google Cloud in 2019 as CEO. There he focuses digital transformation via infrastructure, platforms, solutions. No major controversies in the briefing—his rep's solid on leadership and vision. Ties to agents: at Next keynote, he opened on pushing agentic AI mainstream for enterprise. Interview stresses integrated advantages—TPUs to agents to cyber tools. But success claims need checks: "significant adoption" lacks metrics like growth rates or revenue slice. Report says over half orgs have agents, nearly half in customer service, yet no Google-specific customer stories. Risks? Agents automate processes but could deskill teams if over-relied on, per broader trends. Kurian positions Google ready to lead.

HOST

No scandals in his background—that's notable for a tech exec of his level. Agents in customer service for half those orgs... walk me through what that looks like day-to-day for a business.

PRIYA

Picture a call center: agent greets customer, pulls history, diagnoses issue, books repair, updates CRM—all autonomous. Google Cloud's 2026 report pegs nearly half of production-agent orgs doing this now. Cuts wait times, scales without hiring sprees. Kurian says AI moves past chatbots to full process ownership. Real impact: frees reps for tough cases. But limits hit quick—agents falter on empathy needs or edge cases, no specifics in data. Adoption's real, over half execs report live agents. Google Cloud's platform lets you build these fast, layered on Gemini. Kurian highlights customer uptake, but no names or metrics. Counter: 82% SOC worry shows even pros doubt full handoff. Agents reshape expectations—jobs evolve to oversight, not grunt work. Kurian, post-Oracle, pushes this via integrated tools.

HOST

Evolves jobs to oversight—sounds hopeful, but could mean layoffs if oversight's light. The Wiz acquisition... why buy them specifically for agents?

PRIYA

Wiz plugs a security hole in agentic stacks. Kurian flat-out said, to lead product-wise, acquire Wiz. They're cloud security pros; deal builds on Google Cloud's cyber tools. Result: those three Gemini agents—Red for attacks, Blue for triage, Green for fixes. Cuts detection-to-patch from weeks to real-time. Ties to trends report: agents reshape workflows amid rising threats. 82% analysts' fears? Threat Intelligence Agent uses Gemini to prioritize. But no quant growth data post-Wiz—gaps on revenue or adoption rates. Risks: integration hiccups, or Wiz's tech not meshing perfectly with TPUs. Kurian's Oracle days honed big acquisitions; he's betting this mainstreams agents. Report shows half orgs live, but no Google benchmarks. Agents enable fast vuln hunting since models read code deep.

HOST

Weeks to real-time fixes—huge if it works. But no post-Wiz numbers yet. Kurian talks vulnerabilities needing "incredibly aggressive" fixes. Does the report quantify threat volumes driving this?

PRIYA

Threats explode—report doesn't give exact volumes, flags reshaping via agents. Kurian stresses AI understands code to find vulns accelerated, demanding matching fix speed. Data point: 82% SOC analysts miss threats now. Agents counter via Wiz trio: Red probes constantly, Blue directs, Green patches. Gemini scans code widely already. No architectures detailed—gap noted. Adoption: over half execs have agents, half in customer service. Google Cloud's full stack—TPUs, platform, cyber—eases builds. But no competitive edges vs. Azure or AWS specified. Kurian sees leadership readiness. Limits: models might miss zero-days without updates. His vision post-2019: transform orgs. Report from Google Cloud team eyes 2026 trends.

HOST

Models missing zero-days—that's a real worry for banks or hospitals. The 2026 report sounds data-heavy. Any standout stat on how agents change executive outlooks?

PRIYA

Execs see agents as workflow game-changers—over half in production already signals buy-in. Report's hook: agentic AI reshapes roles, expectations now. Nearly half in customer service shows practical wins. Kurian echoes in Stratechery: beyond chatbots to automation. But no deep dives on architectures or cases—gaps. No growth metrics for Google Cloud. 82% SOC fear underscores urgency. Wiz agents target that: continuous cycles. Kurian's push since 2019 integrates tech seamlessly. Counterpoint: no criticisms in sources, but reliance risks if agents fail quietly. Report urges leaders grasp this for 2026.

HOST

Half already production-ready changes everything fast. Kurian kicked off Next with agents. What's his big bet on where this heads next?

PRIYA

Kurian's bet: agents mainstream enterprise, automating everything from security to service. Google Cloud leads via TPU-agent-cyber integration. Wiz amps it—Red, Blue, Green slash times. Gemini everywhere: threat intel, code scans. Report backs: half orgs live, reshaping now. Post-Oracle, he scales this. Gaps persist—no customer examples, no AWS/Azure compares, no revenue lifts. 82% analyst worry? Agents fix via speed. But if they hallucinate fixes, trouble. Kurian eyes full loops, humans oversee. 2026 trends point to broader adoption.

HOST

Hallucinations in security fixes would be nightmare fuel. No customer stories in the report—odd for a trends piece. Wraps the agentic push neatly.

HOST

Agents promise to automate the hard stuff, from threat hunting to customer handoffs. Kurian's laying out Google Cloud's full-court press. But gaps in metrics and examples leave questions. Check the Google Cloud AI Agent Trends 2026 report yourself for more. I'm Alex. Thanks for listening to DailyListen.