From Best Model to Best AI Ecosystem
Google’s expanding AI ecosystem strategy is a shift from competing on raw model performance to building connected workflows that join data, creativity, media, and business execution into one operating system for agencies and creative teams. Rather than choosing the “smartest” model, enterprises now compare how AI platforms link analytics, content creation, distribution, and measurement inside a single environment. Forrester and 4As research shows marketing agencies are selecting AI ecosystems that orchestrate end-to-end work, not isolated point solutions. In this race, Google’s broad stack — spanning Google Analytics 360, Meridian, Asset Studio, Gemini, Imagen, Veo, Search, YouTube, and Display — collapses the distance between insight and output. Agencies increasingly say they expect to “buy Google the same way [they] buy Adobe,” reflecting how AI ecosystem strategy is reshaping enterprise AI adoption and redefining what partnership means.
Google Dethrones OpenAI as Agencies’ Preferred AI Partner
Forrester reports that Google has overtaken Adobe, Anthropic, Microsoft, and OpenAI as US marketing agencies’ preferred AI partner, underscoring a change in how enterprise AI adoption works. Agencies are building marketing operating systems that unify data, creative, media, and commerce, and they see Google as the company closest to a full-stack solution. Google’s audience data, measurement tools, creative AI tools, and activation channels now fit neatly into holding-company platforms such as dentsu.Connect, Omnicom’s Omni, Publicis Groupe’s Marcel, and WPP Open. Instead of buying a model and stitching everything together themselves, agencies are buying into Google AI partnerships that already connect the pieces. That convenience raises new questions of bias and dependence, but it also explains why Google is pulling ahead: it is selling a complete AI-enabled marketing operating system, not a single piece of AI technology.
A24 Shows How Creative AI Tools Can Reshape Filmmaking
Google DeepMind’s partnership with A24 highlights how creative AI tools are moving into the heart of film production. Google is investing USD 75 million (approx. RM345,000,000) into A24’s 20-person Labs team to build AI filmmaking tools that help directors and producers with tasks such as AI-generated storyboards. These tools will be available to A24 creators while feeding insights and capabilities back into Google’s broader AI ecosystem. The deal is carefully scoped: Google cannot train its AI models on A24’s catalog, addressing a key concern for artists worried about unlicensed data use. A24 Labs, led by former Adobe executive Scott Belsky, aims to design tools that protect creative control rather than replace creative labor. Belsky argues that their approach “won’t look anything like the prompted generation type of AI that people feel uncomfortable with,” positioning A24 as a testbed for more director-friendly AI.
Lock-In by Design: Building an AI Ecosystem for Creators and Enterprises
The A24 partnership shows how Google’s AI ecosystem strategy extends beyond marketing into Hollywood and creative industries. Veo for AI video generation, YouTube for distribution, Gemini and Imagen for ideation and visuals, and DeepMind’s research all link into one environment. For filmmakers who adopt these creative AI tools, switching costs rise: storyboards, production assets, and distribution insights live in Google’s stack. The same pattern plays out in marketing, where agencies blend Google Analytics 360 data with Asset Studio and activation across Search, YouTube, and Display. Instead of trying to win on model benchmarks alone, Google AI partnerships are designed to embed AI into everyday workflows so deeply that alternative single-model providers feel incomplete. This strategy creates a kind of soft lock-in: users stay not because of one standout feature, but because the whole system is hard to replace.
What Google’s Ecosystem Play Means for the AI Market
Google’s move toward integrated AI ecosystems pressures rivals to rethink their own positions. Adobe is extending beyond creative tooling into broader workflow orchestration and APIs, Anthropic is focusing on trust and safety for regulated industries, and Microsoft is trying to translate its CIO relationships into more influence with CMOs and agencies. As platforms race to own workflow, concerns emerge about closed systems and biased recommendations in automated ad or content programs. Agencies warn against rigid ecosystems that push self-serving outcomes. The lesson from Google’s rise and the A24 deal is clear: future AI competition will be about who can support full, cross-functional workflows for marketers and creators, not individual models. Enterprises and studios that pick a primary AI ecosystem will gain speed and integration, but they will also need strategies to avoid overdependence on any single provider.
