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Hey there,

Ever wonder whether the newest AI tools are actually making digital work easier or just adding more noise? This week’s round-up looks at how Google’s Ads Advisor, LinkedIn’s upgraded AI features, and fresh research on misinformation stack up in real use.

Stick with it and you will get a clearer sense of where AI helps, where it misses, and how to stay sharp as these tools evolve.

📰 Upcoming in this issue

• 🧠 Google’s New Ads Advisor AI Put to the Test

• 🤖 LinkedIn’s New AI Upgrade: What’s New

• 🧠 AI and the New Misinformation Problem

📈 Trending news

• Why Archives Beat Short-Term Dashboards For AI

• Generative AI Rewrites Healthcare Playbook

• Humanized AI Becomes A Pillar of Care

🧠 Google’s New Ads Advisor AI Put to the Test

A hands-on review probes how well the tool audits accounts and suggests fixes. Expect time-saving recommendations, plus misses that still need human judgment.

Read the full article here »

Key Takeaways:

• 🎯 Optimization Suggestions: The advisor proposes budgets, keywords, and creative tweaks to lift performance, but every change still warrants human review.

• 🔬 Mixed Accuracy: Tests reveal helpful wins alongside questionable calls, exposing the limits of automated, one-size-fits-all recommendations.

• ⚙️ Workflow Impact: Fast audits generate prioritized to-do lists, letting teams fix basics quickly and refocus on strategy and creative testing.

• 🧭 Best-Practice Use: Treat it as an assistant; validate suggestions against objectives, data quality, and brand rules before applying changes.

🤖 LinkedIn’s New AI Upgrade: What’s New

Tom’s Guide breaks down fresh tools for job seekers and recruiters, from plain-language job search to AI writing help. Here is what stands out.

Read the full article here »

Key Takeaways:

• 🧭 Natural-Language Job Search: Premium users describe goals in plain English, and LinkedIn suggests roles beyond exact titles and keywords.

• ✍️ AI Writing Help: Tools draft profiles, messages, and posts, offering editable suggestions that reflect tone and key metrics.

• 🎯 Recruiter Assist: Hiring Assistant drafts descriptions, candidate summaries, and outreach, cutting repetitive steps while preserving approvals.

• 🔒 Privacy Controls: Users manage data use and training settings; check account controls before enabling new features.

🧠 AI and the New Misinformation Problem

Researchers warn that AI systems accelerate falsehoods and boost user confidence in them, even when the content looks credible. Simple design tweaks and literacy help curb harm.

Read the full article here »

Key Takeaways:

• 🔍 Confidence ≠ Accuracy: People trust AI-polished misinformation more, so cues and friction reduce snap acceptance of slick false claims.

• 🧪 Nudges Work: Accuracy prompts, source labels, and fact-check reminders measurably lower shares without heavy-handed censorship.

• 🧠 Teach the Audience: Media literacy training improves detection of manipulations, helping users question style, sourcing, and emotional triggers.

• 🧰 Design for Safety: Guardrails, provenance tools, and transparent model limits reduce harmful outputs and slow rapid spread across platforms.

Why It Matters

AI is increasingly integrated into everyday workflows, so understanding its strengths and limitations helps teams avoid placing blind trust in automated suggestions. With clever use, these tools can save time and improve decisions, but they still depend on human judgment, context, and guardrails.

Think of this as a quick guide to using AI with confidence while staying in control of the outcomes.

Until our next issue,

Samantha Vale
Editor-in-Chief
Get Nerdy With AI

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