AI capabilities have expanded dramatically. As of early 2026, the three leading AI platforms (Anthropic's Claude, OpenAI's ChatGPT, and Google's Gemini) share a common set of 14 core capabilities. Understanding what these tools can do today is essential for planning how your institution will use them.
The Three Frontier Models
Before diving into capabilities, it helps to know the major players:
| Provider | Platform | Flagship Model | Specialty Tools |
|---|---|---|---|
| Anthropic | Claude | Opus 4.5 | Claude.ai, Claude Code |
| OpenAI | ChatGPT | GPT-5.2 Pro | ChatGPT, Codex |
| Gemini | 3 Pro | Gemini, NotebookLM |
Each platform has unique strengths, but they all share the core capabilities listed below. Your choice of platform matters less than your ability to use these capabilities effectively.
14 Core Capabilities
1. Text Chat
The foundational capability. Ask questions, get answers, have conversations. Every platform supports multi-turn dialogue where the AI remembers context from earlier in the conversation.
Education example: Drafting communications, brainstorming solutions, getting explanations of complex regulations.
2. File and Document Creation
AI can generate complete documents: Word files, spreadsheets, PDFs, and more. You provide the requirements, and AI builds the document structure and content.
Education example: Creating board report templates, policy drafts, budget summaries, or meeting agendas.
3. Deep Research
Extended reasoning combined with web search allows AI to research complex topics over many minutes, synthesize findings from dozens of sources, and produce comprehensive reports.
Education example: Researching best practices for AI governance policies, analyzing peer institution approaches to enrollment challenges, or reviewing regulatory changes.
4. Voice Mode
Speak to AI naturally and hear spoken responses. This enables hands-free interaction and makes AI accessible in situations where typing is impractical.
Education example: Rehearsing a presentation, getting a verbal explanation of a concept while driving, or conducting a spoken brainstorm session.
5. Live Video and Screen Sharing
Share your screen or camera feed with AI and ask it about what it sees. AI can analyze visual content in real time and provide guidance.
Education example: Walking through a facilities issue on camera, getting feedback on slide design, or reviewing a physical document without scanning it.
6. Image Creation
Generate original images from text descriptions. AI can create illustrations, diagrams, infographics, and creative visuals on demand.
Education example: Creating visuals for newsletters, social media graphics, presentation illustrations, or event flyers.
7. Video Creation
Produce short video clips from text prompts or images. While still evolving, this capability is advancing quickly.
Education example: Creating brief promotional clips, animated explainers, or visual content for social media.
8. Autonomous Browser Control
AI can navigate the web independently, visiting websites, filling out forms, and gathering information without human intervention step by step.
Education example: Researching vendor pricing, gathering competitive enrollment data, or monitoring regulatory websites for updates.
9. Memory and Personalization
AI remembers your preferences, past conversations, and institutional context across sessions. Over time, it becomes more effective because it understands your specific needs.
Education example: AI that knows your district's terminology, your preferred report format, and your institutional priorities without being reminded each time.
10. Document and Image Analysis
Upload existing documents, images, charts, or screenshots and ask AI to analyze, summarize, or extract information from them.
Education example: Analyzing a scanned contract, summarizing a lengthy accreditation report, or extracting data from a photograph of a whiteboard.
11. Code Execution and Data Analysis
AI can write and run code to analyze data, create charts, and perform calculations. You do not need to know how to code; just describe what you want to understand.
Education example: Analyzing enrollment trends, creating visualizations from budget data, or processing survey results.
12. Projects
Create persistent workspaces where AI retains context, uploaded documents, and custom instructions across multiple conversations. Projects allow you to build a specialized AI assistant for a specific ongoing need.
Education example: A "Board Meeting Prep" project that holds your agenda templates, recent minutes, and institutional data so AI is always ready to help prepare materials.
13. Artifacts
AI can produce interactive content (calculators, dashboards, visualizations) that you can use, share, and modify. Artifacts go beyond static text to create functional tools.
Education example: Building a budget calculator, an interactive FAQ for students, or a data visualization dashboard.
14. Audio Generation
AI can generate spoken audio from text, including realistic voices, podcast-style content, and narration.
Education example: Creating audio versions of announcements, generating podcast-style summaries of board meetings, or producing narrated training materials.
Platform-Specific Strengths
While all three platforms share these 14 capabilities, each has areas where it excels:
- Claude (Anthropic): Known for nuanced, detailed writing and strong reasoning. Claude Code is particularly powerful for technical and coding tasks.
- ChatGPT (OpenAI): Broad general-purpose strength with deep integration into Microsoft products. Strong image generation with DALL-E and GPT image capabilities.
- Gemini (Google): Deep integration with Google Workspace. NotebookLM is excellent for analyzing uploaded documents and generating audio summaries.
Choosing the Right Model Tier
Not all models within a platform are equal. Model selection deeply matters:
| Tier | Models | Capability Level | Best For |
|---|---|---|---|
| A- | GPT-5.2 Pro, Opus 4.5 Extended, Gemini 3 Pro | PhD Level (~90% GPQA, ~80% SWE) | Complex analysis, strategy, nuanced writing |
| B- | Sonnet 4.5, Gemini 3 Thinking | Sr Professional (~83% GPQA, ~77% SWE) | Most professional tasks, solid all-around |
| C- | Haiku 4.5, GPT-5.2 Instant, Gemini 3 Fast | Junior Professional (~73% GPQA, ~73% SWE) | Quick tasks, high volume, simple questions |
| F | GPT 4o, Sonnet 3 | Intern (~53% GPQA, ~22% SWE) | Basic tasks only; not recommended for professional use |
GPQA measures graduate-level reasoning. SWE measures coding ability. Both benchmarks reflect the model's overall sophistication.
The key takeaway: using a top-tier model versus a bottom-tier model is the difference between working with a PhD-level professional and an intern. For important work, always select the best model available.
Getting Started
You do not need to master all 14 capabilities at once. We recommend this progression:
- Start with Text Chat (Capability 1): Get comfortable having conversations with AI
- Add Document Analysis (Capability 10): Upload real documents and ask questions about them
- Try Projects (Capability 12): Set up a persistent workspace for a recurring task
- Explore Deep Research (Capability 3): Use extended research for a real strategic question
- Experiment with the rest: Voice, video, image creation, and other capabilities as needs arise
The capabilities are available today, on platforms your institution may already have access to. The only barrier is learning to use them well.