The AI Landscape Has Changed. It's No Longer Just Which AI Should I Use?
The AI landscape has changed. It's no longer just "Which AI should I use?"
It's become an entire ecosystem.
Most people think they're choosing between ChatGPT, Claude or Gemini.
They're not.
They're choosing a stack.
🧠 At the foundation are the LLMs
These are the reasoning engines.
- ChatGPT → great all-rounder for writing, strategy, coding and analysis.
- Claude → exceptional for deep thinking, long documents and nuanced writing.
- Gemini → shines when you're working across Google's ecosystem and multimodal content.
- Grok, Mistral, Llama and others each bring their own strengths.
But that's just the beginning.
⬆️ On top of those sit the agent layers
This is where AI starts doing work instead of simply answering questions.
Think:
- ChatGPT with GPTs, Actions and Connectors
- Claude with Computer Use and Projects
- Gemini with Gems and Workspace
- Manus
- OpenAI Operator
- Devin
- Multi-agent systems
These don't just generate ideas.
They click. They search. They research. They automate. They complete workflows.
🧰 Then comes the layer most people interact with every day: the tools
Your AI connects to:
📄 Google Docs · 📊 Excel · 💬 Slack · 📧 Gmail · 🎨 Canva · 🎥 Runway · 📝 Notion · ⚡ Zapier · 🔍 Perplexity · 💻 GitHub, and hundreds more.
The AI isn't replacing these tools.
It's becoming the interface between them.
🏢 Finally: the Corporate AI layer that's often missing from these diagrams
This is where organisations build secure, governed AI ecosystems.
Think:
- Microsoft Copilot
- Google Workspace AI
- Salesforce Einstein
- SAP Joule
- ServiceNow AI
- Oracle AI
- Workday AI
These aren't separate from consumer AI. They're increasingly powered by the same foundation models underneath.
That's why we're seeing so much "double dipping."
One company might use:
- ChatGPT for ideation
- Copilot for internal documents
- Claude for strategy
- Gemini inside Workspace
- Perplexity for research
- Zapier to connect everything together
They're all solving different parts of the same workflow.
The future isn't one AI
It's understanding which AI belongs where.
The winners won't necessarily know the most prompts.
They'll know how to architect an ecosystem where models, agents, tools and people each do what they do best.
I think it's time we stopped comparing AI tools… and started mapping the entire AI operating system.
Which part of the stack are you spending most of your time in today? 🚀