Google shows 14 AI uses that transform work

Google shows 14 AI uses that transform work | Keryc

Generating code. Google says AI participates in about 30% of the new code their developers write, and engineers then review and approve that code. This changes how effort is distributed in a project. (blog.google)
Increasing development speed. Beyond writing lines, AI helps with reviews, testing, and migrations, with an estimated 10% impact on engineering velocity. Less time on repetitive tasks means more time for innovation. (blog.google)
Prioritizing and fixing bugs. Internal models help detect root causes and eliminate duplicates, letting teams focus work where it’s most needed. (blog.google)
Creative inspiration. Marketing and product teams use Gemini as a creative assistant to generate concepts, scripts, or variants aligned with brand style. Missing ideas? AI can speed up the first draft. Try Gemini. (blog.google)
YouTube content. Gemini helps extract quotes and timestamps from podcasts to optimize titles and descriptions, improving relevance and engagement. (blog.google)
Creating visual assets. At events like Google I/O, the company used generative models to produce hundreds of slides and a significant portion of videos. This shows AI already contributes to visual assets at scale. (blog.google)
Testing ideas quickly. Teams like DeepMind use creative tools to sketch videos or explore pitches without investing heavy resources up front. (blog.google)
Responding to business proposals faster. An internal system helped increase completed proposals by 78% year over year for Google Cloud, speeding commercial processes and reducing friction. (blog.google)
Improving lead quality. An AI-based filter increased conversion from leads to opportunities by 14% over a six-week period, helping prioritize sales efforts. (blog.google)
Meeting notes and summaries. During Google Meet calls, Gemini can transcribe and generate summaries with key points and tasks. Google reported that in a single month 50 million attendees benefited from AI-generated notes. This reduces the burden of taking notes during meetings. (blog.google)
Moderation and safety. Trust & Safety teams use AI to detect potential policy violations, speeding reviews and protecting platforms more efficiently. (blog.google)
Analyzing employee feedback. Tools like NotebookLM help summarize thousands of survey responses and extract common themes, speeding up internal decisions. If you don’t know NotebookLM, you can check it out here: NotebookLM. (blog.google)
Recruitment. AI supports sourcing and matching candidates to openings, always with recruiters leading the process to safeguard fairness and the final human decision. (blog.google)
Reducing food waste. By analyzing operational data, AI helped adjust menus and decreased waste per person in Google cafeterias by about 39% compared to 2019. This is a clear example of environmental and economic impact. (blog.google)

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Google shows 14 AI uses that transform work