Whoever controls the agentic control plane controls enterprise AI. Google LLC just showed up to that fight with everything it has.<\/p>\n
The company claiming it can own the full stack arrived at Google Cloud Next 2026\u00a0firing on all cylinders<\/a>, including unveiling the new\u00a0Gemini Enterprise Agent Platform<\/a> \u2014 but the deeper story was about how that full stack is converging into a single architectural bet. The company is uniquely positioned as the only hyperscaler with a leading frontier model, sovereign infrastructure and an open, heterogeneous ecosystem all under one roof, according to John Furrier<\/a> (pictured, right), co-founder and chief executive officer of SiliconANGLE Media Inc.\u00a0But that positioning comes with real stakes, he warned.<\/p>\n \u201cIf you commit to this platform, you\u2019re kind of in,\u201d Furrier said. \u201cAgents are going to talk to agents \u2014 that\u2019s a big theme we heard a lot here. It\u2019s a platform and that\u2019s causing all kinds of competitive dynamics, from being competitive to frenemies. The execution risk of going too slow or going too fast is the number one thing I\u2019m taking away.\u201d<\/p>\n Furrier spoke with Sarbjeet Johal<\/a> (left), founder and chief executive officer of Stackpane Ltd., as part of a day three wrap at the close of\u00a0Google Cloud Next<\/a>, during an exclusive broadcast on theCUBE, SiliconANGLE Media\u2019s livestreaming studio. They discussed Google Cloud\u2019s full-stack AI momentum, AI economics and the emerging agentic control plane battle reshaping enterprise architecture. (* Disclosure below.)<\/p>\n Google Cloud Next 2026 and the agentic control plane race<\/p>\n The economics case for Google\u2019s vertical integration is one analysts are watching closely. Because Google does not pay the same third-party silicon margins competitors absorb, its custom Tensor Processing Unit stack<\/a> offers a structural cost advantage at production scale\u00a0\u2014 particularly as enterprises scale workloads across the agentic control plane, Johal noted. The two new TPUs announced at the show \u2014 one for training, one for inference \u2014 posted 2.7x and 5x price-to-performance improvements respectively.<\/p>\n \u201cAt the end of the day, economics matters,\u201d Johal said. \u201cWhen you put stuff in production, especially if it is at some decent scale, price to performance is the number one criteria for procuring any technology. Because they\u2019re vertically integrated, they have their own TPUs \u2014 they don\u2019t have to pay a 70% margin to the likes of Nvidia. They have much better economics of AI, if you will.\u201d<\/p>\n But governance \u2014 not economics \u2014 is emerging as the defining challenge<\/a> that will determine which enterprise AI deployments survive contact with production. Just as developer operations made enterprise cloud adoption possible in the prior cycle, agentic governance is what will unlock AI-native apps in the enterprise this time around \u2014 and the agent development lifecycle is still in its earliest stages, Johal explained. All three major cloud providers only just announced agent registries in April 2026, underscoring how rudimentary the foundational blocks still are.<\/p>\n \u201cIn the hype cycle, governance is on the back burner,\u201d Johal said. \u201cTake any hype cycle \u2014 internet, internet 2.0. During that time, security is on the back burner, governance is on the back burner. It\u2019s by design.\u201d<\/p>\n The path forward now lies in the data layer \u2014 open lakehouse formats, aggregated data feeds and systems that let AI consume context freely across clouds and SaaS providers, Furrier noted. Separating models from control planes and data layers is what will accelerate enterprise value and insulate organizations from the velocity risk of constant model churn, Johal added.<\/p>\n \u201cIf you confront it, most of the time you\u2019ll come out as a winner,\u201d Johal said. \u201cBut if you are afraid of change, it will kill you.\u201d<\/p>\n Here\u2019s the complete video interview, part of SiliconANGLE\u2019s and theCUBE\u2019s coverage of Google Cloud Next 2026<\/a>:<\/p>\n (* Disclosure: TheCUBE is a paid media partner for Google Cloud Next 2026. Sponsors of theCUBE\u2019s event coverage do not have editorial control over content on theCUBE or SiliconANGLE.)<\/p>\n Photo: SiliconANGLE<\/p>\n Support our mission to keep content open and free by engaging with theCUBE community. Join theCUBE\u2019s Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities.<\/p>\n 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more About SiliconANGLE Media<\/p>\n SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE<\/a>, theCUBE Network<\/a>, theCUBE Research<\/a>, CUBE365<\/a>, theCUBE AI<\/a> and theCUBE SuperStudios \u2014 with flagship locations in Silicon Valley and the New York Stock Exchange \u2014 SiliconANGLE Media operates at the intersection of media, technology and AI.<\/p>\n Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.<\/p>\n","protected":false},"excerpt":{"rendered":"Whoever controls the agentic control plane controls enterprise AI. 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