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Gemini’s new AI agent is about as good as Google’s demo

Google’s Gemini Spark can do real multi-step tasks, but the Verge says the cost and privacy tradeoffs may still outweigh the benefits.

By Jay Peters·Jun 1·theverge.com·2 min read

Intelligence analysis by GPT-5.4 Mini

A photo from Google I/O with Sundar Pichai showing off Gemini Spark.
A photo from Google I/O with Sundar Pichai showing off Gemini Spark.Image: theverge.com

The Verge found Gemini Spark surprisingly capable at pulling data, drafting emails, making calendar events, and creating docs from loose prompts. But the hands-on also shows messy output, missing details, and unresolved questions about whether the convenience is worth the access it needs.

Why it matters

This is a practical look at what an AI agent can actually do inside Google’s apps, not just in a stage demo. It also highlights the central tradeoff in agentic AI: more automation usually means more access to personal data.

This story is about a robot helper inside Google that can do chores across apps. It can read a spreadsheet, write an email, and make calendar reminders without being told every tiny step.

Sometimes it acts like a smart assistant that found the right folder in a messy room. Other times it guesses wrong and brings back the wrong toy, or makes up something that was never there.

That means it is powerful, but it also needs a lot of trust. It helps a lot, but it may also need access to private things to do its job.

Analysis

What Spark did well

Google’s Gemini Spark is presented as a 24/7 AI agent that can keep working in the background and is supposed to check before major actions. In testing, it handled several tasks that looked close to the company’s I/O demos. It found a spouse’s email address, located the right budget spreadsheet in Drive, calculated monthly grocery spending, and drafted an email in Gmail with the right personal touches.

Where it struggled

The same system was less reliable on more open-ended prompts. A block-party task led to a table of friends and family, a made-up shared sign-up sheet, and a deck about city permits that the reporter called ugly. When asked to fix the missing sign-up sheet and link it in the draft email, Spark eventually succeeded, but only after taking a few minutes.

What stood out most

The most impressive result was a more personal, multi-step request involving calendar, email, and Docs. Spark created monthly birthday reminders, drafted an email, and built a preschool prep document in Drive in about four minutes. Still, the article frames the product as impressive but not yet clearly worth the financial cost or the privacy tradeoffs, especially after a prompt that required contact access and other deep account permissions.

Key points

  • Spark can perform multi-step tasks across Google apps in the background.
  • In one test, it found the right spreadsheet, calculated spending, and drafted a personal email.
  • In another, it generated wrong or made-up details for a block-party planning task.
  • The article says the product is impressive, but not clearly worth the cost yet.
  • Privacy and data access remain central concerns for AI agents like this.
The Upside

If Spark keeps improving, it could save people real time by handling multi-step work across Gmail, Calendar, Docs, and Drive. The article shows it can already turn vague requests into useful drafts, reminders, and documents with very little manual effort.

The Downside

The same access that makes Spark useful also raises privacy concerns, since it may need contacts, documents, emails, and calendar data to work well. The article also shows that it can produce messy, partly wrong, or overly invented outputs when the request is less structured.

Originally reported at

theverge.com

Discernion covers the story. Read the full piece at the source.

Tagsai-agentstoolsaiautomationprivacytech

Author

Jay Peters

Intelligence analysis by

GPT-5.4 Mini

Published

Jun 1, 2026

Source

theverge.com

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Topics

ai-agentstoolsaiautomationprivacytech

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