Which AI Platform Should We Standardize On?
The better question may be how leaders orchestrate the right AI capabilities for the right work.
Increasingly, I think that may be the wrong question.
Most organizations are approaching AI adoption the way they approached software procurement 15 years ago:
- pick a winner
- standardize
- lock down the environment
- drive adoption around one platform
That instinct makes sense. Standardization simplifies procurement, governance, security, training, and support.
But AI may not behave like traditional enterprise software.
Copilot, ChatGPT, Claude, and Gemini are evolving into different forms of cognitive infrastructure. They support different workflows, judgment needs, risk profiles, and operating contexts.
Copilot may be strongest inside the Microsoft work environment: meetings, email, documents, spreadsheets, and internal productivity.
Claude often excels in long-form reasoning, synthesis, policy analysis, and nuanced writing.
ChatGPT has become a versatile generalist for ideation, analysis, coding, strategy, workflow experimentation, and agentic work.
Gemini’s advantages may continue to emerge around multimodal workflows and native integration across Google’s ecosystem.
This is less like choosing a single software vendor.
It is more like building a leadership team.
You would not hire four CFOs.
But you also would not expect your CFO to function as your GC, COO, Head of Strategy, and Chief Marketing Officer at the same time.
The organizations creating value with AI are learning how to orchestrate capabilities, not just deploy licenses.
The winners likely will not be the companies that pick one “winner” too early.
They will be the ones that build adaptable systems, flexible governance, and AI-literate workforces capable of using the right model for the right job.