Google Cloud Next 2026: 3 strategic signals

Co-founder of Converteo, Thomas Faivre-Duboz decodes the macro-trends redefining global business from Toronto.

Key takeaways

• The end of the PoC era: technological exploration is giving way to mass deployment of ai, with a clear objective demanded by executive management: operational profitability.
• The premium on verticalization: real and rapid productivity gains come from specific and replicable business use cases (customer service, supply chain, reporting) rather than generalist ai for all employees.
• The ambition to be the “operating system” of ai: google is deploying a total vertical integration strategy (from silicon to security with Wiz) while avoiding the trap of a closed system. by accepting competing models, google ensures it can orchestrate and bill for the global infrastructure.
• The shift towards custom integration: technology alone is no longer enough. inspired by Palantir, sending “forward deployed engineers” into the field marks the end of the self-service model in favor of support that guarantees business integration and ROI.

During his keynote at the google cloud next 2026 event in Las Vegas, Thomas Kurian (CEO of google cloud) sent a clear signal to executive management: the era of PoCs is over, the time has now come for the mass deployment of ai and operational profitability. 3 elements underlie this evolution.

#1 The time is for verticalization and project replication

Initial feedback imposes a lucid observation: today, in companies, ai mainly generates efficiency and productivity gains, rather than incremental revenue. Productivity gains are achieved through strong verticalization of use cases (by industry or by profession). Generalist ai for all employees (like copilot) does not provide as many demonstrated gains as ai projects affecting business processes: customer service with voice ai, supply chain with demand forecasting, or financial reporting with the automation of closings.

The identification of “major” use cases, shared by many companies and replicable, drastically reduces production deployment times (to a week or a few months at most). The example of Lacoste, which deployed a customer relations agent with Converteo’s help in just three months, confirms this trend: efficiency now takes precedence over exploration.

#2 The bet on the unified stack

Faced with the agility of OpenAI and Anthropic, google is deploying a total vertical integration strategy. By mastering the entire chain – from silicon (TPUs v8) to application layers (gemini 3.1, agent platform), through data (cross-cloud lakehouse) and security (Wiz) – google seeks to create a complete ai and agentic “stack”. The $32 billion acquisition of Wiz a few months ago makes perfect sense here: in an agentic world, security is a sine qua non.

However, this unified stack skillfully avoids the “walled garden” trap. By supporting competing models (claude) and multi-cloud data ingestion (AWS, azure), google is making a shift: openness becomes the very mechanism of capture. By agreeing to run others’ technologies, google ensures that, regardless of the solution chosen by the company, it will be orchestrated, secured, and billed on its infrastructure. google is not just seeking to be a model provider, but to become an “operating system” for ai.

#3 AI as an integrated transformation service

And yet, the most structural announcement of this edition is not technological. Openly drawing inspiration from Palantir’s operational model, google acknowledges a humble fact: technology alone is not enough. The deployment of google or partner “forward deployed engineers” directly into the heart of customer processes, and the $750 million investment in the partner ecosystem mark a rupture.

Value is shifting from the “brain” (the LLM) to the “nervous system” (the business integration). By sending its engineers to the operational front, google is moving beyond its role as a tool provider to secure ROI for the client. This is the end of self-service software and the beginning of ai as an integrated transformation service.