Introduction
14 ways Googlers use AI to save time, spark creativity and improve products and processes: a practical overview of day-to-day applications and measurable outcomes inside the company.
Context
Google integrates tools such as Gemini, Imagen and NotebookLM to support operational and creative tasks. The aim is to treat AI as a collaborative partner while keeping people in control and focusing time on strategic work.
14 ways Googlers use AI
- Generating code: AI acts as a coding partner; it assists in producing about 30% of new code, which engineers review.
- Increasing velocity: AI supports code review, testing and migrations, contributing to roughly a 10% increase in engineering velocity.
- Prioritizing and fixing bugs: Models help locate root causes and priorities; 12% of duplicate bugs are now handled automatically by AI agents.
- Sparking creativity: Marketing teams use Gemini for brainstorming and campaign concepts aligned with Google's style.
- Writing catchy content: YouTube Editorial uses Gemini to extract quotes and accurate timestamps for better titles and descriptions.
- Creating visual assets: Generative models like Imagen helped produce 219 keynote slides; 48% of visuals and 80% of videos used Veo or Imagen.
- Testing new ideas: DeepMind uses Flow, Veo 3 and Gemini to mock up videos and explore pitches quickly.
- Speeding up sales proposals: An internal AI tool drove a 78% year-over-year increase in completed RFPs for Google Cloud.
- Improving sales lead quality: Google Cloud's AI lead filter increased conversion from leads to opportunities by 14% in a six-week period.
- AI-generated meeting notes: Gemini transcribes and summarizes Google Meet sessions in real time; over 50 million attendees benefited in June.
- Keeping platforms safe: Trust & Safety uses AI to flag policy-violating content, reducing manual workload amid more than one billion content reviews in 2024.
- Understanding employee feedback: NotebookLM summarizes thousands of survey responses to surface actionable themes.
- Finding the right talent: People Operations use AI to search candidate pools and match skills, with recruiters remaining central.
- Reducing food waste: Chefs use AI-driven insights to refine menus and logistics; food waste per Googler fell about 39% versus 2019.
Practical value and limits
AI delivers efficiency, creativity and operational improvements, but requires human oversight, governance and continuous data quality checks to avoid blind spots.
Applying these examples
To adapt these uses evaluate repeatable tasks, suitable tools, human review processes and measurable KPIs such as time saved, conversion rates and waste reduction.
FAQ
- Which areas do Googlers use AI to generate code? AI helps write new code, suggest fixes and accelerate reviews; about 30% of new code is produced with AI assistance.
- How much does AI improve engineering velocity for Googlers? AI support in reviews, testing and migrations has contributed to an estimated 10% increase in engineering velocity.
- How do Googlers use AI to improve sales outcomes? Internal AI tools for RFPs and lead filtering led to a 78% YoY rise in completed RFPs and a 14% uplift in lead-to-opportunity conversion in six weeks.
- What is the impact of AI-generated meeting notes for Googlers? Gemini transcribes and summarizes Google Meet in real time, benefiting over 50 million attendees in a single month.
Conclusion
The 14 cases illustrate how responsible AI use amplifies human work. Google’s model emphasizes human oversight, clear metrics and continuous refinement to convert AI capabilities into real value.