The New AI Risk: Building What Big Platforms Will Absorb
By Suad Seferi ·
The artificial intelligence market has entered a more difficult phase. Not because AI is slowing down. Quite the opposite. The risk now comes from the fact that AI is moving too fast, and the largest technology companies are no longer building only better models. They are building the next layer of work itself. For startups, existing companies, public institutions, and even individual professionals, this creates a serious strategic question: should they build their own AI products and internal systems now, or should they first understand where the major platforms are already going? This is not a simple question of innovation versus caution. It is a question of timing, dependency, and survival. In the past two years, many companies rushed to add AI into their products. Some built AI writing assistants. Others built document chatbots, meeting summarizers, coding tools, customer support bots, internal knowledge systems, AI dashboards, or workflow assistants. In many cases, these tools were useful. But usefulness is not the same as long-term defensibility. The uncomfortable reality is that many AI products being built today may soon become standard features inside ChatGPT, Claude, Gemini, Microsoft Copilot, or other major platforms. That is the build trap. A company may spend months, or even years, building something that a larger AI platform is already testing, already planning, or already preparing to release. When that happens, the smaller product does not necessarily fail because it is bad. It fails because the platform absorbs the category. From chatbots to work systems The early public understanding of generative AI was built around chat. A user opened ChatGPT, Claude, Gemini, or Copilot, typed a prompt, received an answer, and then manually moved that answer into another workflow. AI was powerful, but it was still mostly reactive. It helped people think, write, summarize, code, and analyze. That phase is not over, but it is no longer the frontier. The major AI companies are now moving from conversation to execution. They are building agents: systems that do not only respond, but can plan, use tools, connect to files, execute steps, and operate across workflows. OpenAI describes workspace agents in ChatGPT as Codex-powered agents that can automate complex workflows, run in the cloud, and help teams scale work across tools securely. This is a clear signal that ChatGPT is being positioned not only as a chatbot, but as a working environment for repeatable business tasks. Anthropic is moving in a similar direction. Claude Cowork is described as a system that executes multi-step knowledge work on behalf of users, including research synthesis, document preparation, and file management. Anthropic explicitly says it is not a chat assistant. Google is also building for this agentic layer. Gemini Enterprise Agent Platform is presented as a platform to build, scale, govern, and optimize autonomous agents, with emphasis on enterprise-grade deployment and governance. Microsoft is moving through the workplace it already owns. Microsoft 365 Copilot and Agent 365 are being positioned around agents that can automate multi-step workflows, connect to organizational data, and operate across Microsoft 365 and external applications. This is the deeper shift. The market is no longer about who has the best chatbot. It is about who becomes the default operating layer for knowledge work. Why GPT-5.6 and Claude Fable 5 matter The newest model releases make this risk more visible. OpenAI’s GPT-5.6 Sol is presented as a next-generation model with stronger capabilities in coding, science, cybersecurity, and advanced safety. OpenAI’s Help Center states that the GPT-5.6 family includes Sol, Terra, and Luna, but also makes clear that during preview these models are available through the API and Codex only to a limited group of trusted partners and organizations, and are not available in ChatGPT during the preview. That detail matters. It shows that the frontier capabilities are not always visible to the wider market at the same time. While many startups are building products based on what is publicly available today, larger partners and platform companies may already be designing around capabilities that are not yet widely accessible. Anthropic’s Claude Fable 5 points in the same direction. Anthropic describes Fable 5 and Mythos 5 as models that can work autonomously for longer than previous Claude models, with improvements in software engineering, knowledge work, vision, memory, and life sciences research. Anthropic also says Fable 5 can support long-horizon tasks in agentic coding and prototyping. This is important because the frontier is not moving only toward better text generation. It is moving toward longer work, more reliable task execution, and deeper integration with tools. That is exactly the space where many startups and companies are trying to build. The risk of building what platforms will absorb The greatest risk in today’s AI market is platform absorption. Platform absorption happens when a product category becomes a feature inside a larger platform. An AI email assistant becomes part of Gmail or Outlook.An AI meeting summarizer becomes part of Teams, Google Meet, or Zoom.An AI document chatbot becomes part of ChatGPT, Claude, Gemini, SharePoint, or Google Drive.An AI coding assistant becomes part of Codex, Claude Code, GitHub Copilot, or the development environment itself.An AI research assistant becomes part of Microsoft 365 Copilot, Gemini, ChatGPT, or Claude.An AI workflow tool becomes a native agent inside a larger enterprise platform. When this happens, the smaller product may still work, but its economic logic becomes weaker. The customer begins to ask a very rational question: why should we pay separately for this if the platform we already use now does it well enough? That question can destroy an AI startup more quickly than a traditional competitor. In traditional software, companies compete w…