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Google’s Gemini Now Auto-Summarizes Gmail Messages by Default

AND: Meta to Automate 90% of Product Risk Reviews Using AI

TodayOnAI’s Daily Drop

  • Google’s Gemini Now Auto-Summarizes Gmail Messages by Default

  • Meta to Automate 90% of Product Risk Reviews Using AI

  • Why Most CEOs Still Struggle to Capture AI’s Value

  • 💬 Let’s Fix This Prompt

  • 🧰 Today’s AI Toolbox Pick

📌 The TodayOnAI Brief

Google

🚀 TodayOnAI Insight: Google is rolling out automatic email summaries in Gmail via its Gemini AI assistant, removing the need to manually request them. The feature aims to streamline inbox triage—but its opt-out design and regional limitations reflect privacy and accuracy concerns.

🔍 Key Takeaways:

  • Gemini now auto-generates summaries for long emails, displayed as cards above the message body.

  • The feature launched globally on May 30, 2025, but applies only to English-language Gmail accounts.

  • Users in the EU, UK, Switzerland, and Japan must opt in due to stricter privacy regulations.

  • Manual summarization remains available through the “Summarize” button and Gemini side panel.

  • Summaries are dynamic, updating as replies arrive, and can be disabled at any time.

💡 Why This Stands Out: Google's shift from optional to automatic AI assistance marks a deeper integration of generative tools into everyday workflows. While time-saving, it raises ongoing questions about trust and transparency—especially as AI summarization remains prone to factual errors. Is the convenience worth the risk of misinformation in your inbox?

Meta

🚀 TodayOnAI Insight: Meta plans to automate up to 90% of its internal product risk assessments using AI, shifting key privacy and safety evaluations from human reviewers to machine-led systems. The move could accelerate product updates—but also heightens concerns around oversight and accountability.

🔍 Key Takeaways:

  • Meta is introducing an AI system to conduct privacy and risk reviews across Instagram, WhatsApp, and other apps.

  • Teams will submit a questionnaire and receive near-instant feedback, including AI-flagged risks and required compliance steps.

  • The shift stems from a 2012 FTC agreement mandating privacy reviews for all product changes.

  • A former Meta exec warned that automation increases the risk of harmful product impacts slipping through unnoticed.

  • Meta says it's spent $8B on privacy efforts and will continue using human oversight for complex or novel issues.

💡 Why This Stands Out: This marks a pivotal shift in how major tech firms manage regulatory compliance at scale. While AI promises speed and consistency, it also raises deeper questions: Can automation truly catch nuanced human harm? And how will regulators respond when risk review itself becomes a product of AI?

AI

🚀 TodayOnAI Insight: Despite widespread enthusiasm, most CEOs still struggle to realize meaningful returns from AI initiatives. BCG’s Romain de Laubier says 2025 will mark a turning point—when experimentation gives way to scaled execution, but only if leaders commit to transforming core functions, not just dabble.

🔍 Key Takeaways:

  • GenAI reignited corporate interest in AI, but only 25% of firms are seeing significant value today, per BCG’s AI Radar.

  • Asia-Pacific leads in AI upskilling, with Singapore and Japan training 44% and 38% of workforces respectively, yet lags in GenAI adoption.

  • Top-performing companies concentrate AI investments—using a 10-20-70 model (10% algorithms, 20% tech, 70% people/process).

  • Successful firms avoid scattershot pilots, instead targeting core functions for AI-driven transformation at scale.

  • Misconceptions around needing “perfect data” persist; de Laubier stresses that clear business objectives matter more than upfront data readiness.

💡 Why This Stands Out: The gap between AI’s promise and impact lies less in tech and more in leadership. Winning organizations treat AI as a business transformation challenge, not just a tech project. As 2025 nears, will companies shift from cautious pilots to decisive reinvention—or fall behind in the race to operationalize GenAI?

💬 Let’s Fix This Prompt

 See how a simple prompt upgrade can unlock better AI output.

🔹 The Original Prompt

"Generate blog ideas for a marketing company."

At first glance, this prompt might seem okay. But it's too broad — and that limits the quality of AI-generated results. Let’s improve it using prompt engineering best practices.

The Improved Prompt

Generate 10 blog post ideas for a digital marketing agency targeting small-to-mid-sized businesses. Focus on practical topics like lead generation, content strategy, SEO trends, social media growth, and marketing automation. Include a mix of how-to guides, case studies, and trend analysis.

💡 Why It's Better

  • Specifies target audience (small-to-mid-sized businesses)

  • Adds relevant subtopics to guide idea generation

  • Suggests diverse content formats (guides, case studies, trends)

  • Enhances SEO and audience relevance

🛠️ Learn how to adapt this prompt for SaaS, AI tools, dev teams & more →
Read the full PromptPilot breakdown

💡 Bonus Tool: Want to generate and master prompts instantly?
👉 Try PromptPilot by TodayOnAI (Free to use)

🧠 Smart Picks

📰 More from the AI World

  • Google quietly released an app that lets you download and run AI models locally

  • Gemini will now automatically summarize your long emails unless you opt out

  • Google fixes bug that led AI Overviews to say it’s now 2024

  • DeepSeek’s distilled new R1 AI model can run on a single GPU

🧰 Today’s AI Toolbox Pick

  • ⛓PromptChainer (Flow Builder Tool): Creates complex AI-driven flows using a visual flow builder.

  • 💻DevKit (Developers Tool): The essential AI assistant for developers.

  • 📊Venture Insights (Finance Tool): Creates investment reports and offers benchmark tools for your portfolio.