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Google I/O 2024: Gemini 1.5 Pro and the 1M Token Context Window for Business

One million tokens means processing entire books, entire codebases, or an entire year of email in a single AI session. Here is what that unlocks for executives.

May 22, 2024 3 min read
gemini 15 pro 1m context business
Quick Scan

What matters today

One million tokens means processing entire books, entire codebases, or an entire year of email in a single AI session. Here is what that unlocks for executives.

Format PRODUCTIVITY GEM
Audience Executives using AI at work
Time 3 min read
Topic Gemini

Key points

  • What 1M Tokens Actually Means
  • Where Gemini 1.5 Pro is Available
  • Four Use Cases That Change with 1M Tokens
  • Getting Started This Week

What You'll Learn

  • What one million tokens means in practical terms for executive knowledge work
  • Which Google products now include Gemini 1.5 Pro and how to access them
  • Four specific use cases where the long context window changes what is possible

One million tokens. That is the context window Google confirmed for Gemini 1.5 Pro at Google I/O 2024. In practical terms, it is approximately 750,000 words: the equivalent of processing 10 full-length business books, an entire year of email, or every document from a major contract negotiation in a single AI session.

Context window size has been the primary practical constraint on AI usefulness for knowledge work. When a model can only process 8,000 or 32,000 tokens at a time, analysts must chunk documents, lose context between sessions, and manually stitch together insights. One million tokens removes that constraint for almost every real-world executive use case.

This article covers what the 1M context window unlocks specifically for executive teams, which Google products now include Gemini 1.5 Pro, and four concrete use cases that were not practical at smaller context sizes.

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What 1M Tokens Actually Means

At 1M tokens, Gemini 1.5 Pro can hold in context simultaneously:

  • An entire annual report plus all quarterly filings
  • A full legal discovery set from a contract dispute
  • An entire year of board meeting minutes
  • A complete software codebase for a mid-size application
  • Every customer support ticket from the past six months

This is not an incremental improvement. It is a qualitative change in what is possible.

Where Gemini 1.5 Pro is Available

  • Google AI Studio (aistudio.google.com): Full 1M token access, free tier available. Best place to start testing.
  • Vertex AI: Enterprise API access with Google Cloud billing for production deployments.
  • NotebookLM: Gemini 1.5 Pro powers document Q&A and summarization. Upload up to 50 sources per notebook.
  • Google Workspace (rolling out): Gemini 1.5 Pro capabilities integrating into Docs, Gmail, and Drive over coming months.

Four Use Cases That Change with 1M Tokens

  • Full-document contract analysis. Load an entire master services agreement with all schedules, exhibits, and amendments into a single session. Ask "identify all clauses where our liability is uncapped" across the complete document set.
  • Competitor annual report synthesis. Upload a competitor's full 10-K and ask for a structured competitive intelligence brief covering strategy, risk factors, capital allocation, and management commentary.
  • Multi-quarter earnings call analysis. Paste the transcripts of the last eight earnings calls (yours and three competitors) and ask how messaging on AI investment has evolved over the past two years.
  • Policy and regulatory review. Load an entire regulatory filing and ask the model to identify every section relevant to a specific business practice. Regulators and lawyers spend hours doing this manually.

Getting Started This Week

Go to aistudio.google.com. Create a new project and select Gemini 1.5 Pro as the model. Upload the longest document your team regularly struggles to analyze. Ask the three questions you most need answered about that document. Compare the output quality and completeness to what a manual read or previous AI tool produced.

Bottom line

The value of Google I/O 2024: Gemini 1.5 Pro and the 1M Token Context Window for Business is repetition. Run it on one real task, save the version that works, and turn the result into a small weekly habit instead of another one-time AI experiment.

About the author

Pierre Bradshaw Founder, PromptHacker.ai

Pierre has spent 25+ years building growth systems across fintech, real estate, lending, campaigns, and AI workflows, with machine-learning work dating back to 2012.

If you have any questions or comments about Google I/O 2024: Gemini 1.5 Pro and the 1M Token Context Window for Business feel free to reach out. I'd love to hear from you.

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