 Welcome to Guru99 AI Report! Together With 👉 NinjaOne👈 | Tuesday's top story: AI is reshaping the world in ways both surprising and subtle-from how teachers grade to how you shop. But behind the headlines lie deeper questions worth asking. Ready to explore what's really at stake? | 📝 Anthropic reveals how teachers are using AI 
Image source: Anthropic
Brief Buzz: Anthropic just dropped a report analyzing 74,000 conversations from educators using Claude, revealing how professors are weaving AI into daily academic life. The findings highlight both efficiency gains and ongoing tensions about AI in the classroom. - Top use cases: Curriculum design (57%), research support (13%), and evaluating student work (7%).
- Custom AI tools: Professors built interactive labs, grading rubrics, and dashboards with Claude’s Artifacts.
- Task automation: Widely adopted for admin work like financial planning and record-keeping.
- Grading divide: Nearly half of grading-related conversations leaned on AI—despite educators rating it as Claude’s weakest skill.
👉 Read the full Anthropic education report
Why Should You Care?
This research shows that AI isn’t just shaping how students learn—it’s also transforming how educators teach. If professors increasingly offload routine work to AI, expect classrooms to evolve faster, with more tailored learning experiences. But the grading debate signals a bigger question: How much of education should machines decide? 👉 Boost efficiency using school management software | | 👉 In partnership with NinjaOne 
I reviewed this NinjaOne harnesses artificial intelligence to simplify endpoint management, patching, and overall IT operations. Its AI stack focuses on turning the flood of patch data and device telemetry into precise, actionable guidance for busy IT teams. One flagship capability is Patch Intelligence AI, which applies generative-AI–powered sentiment analysis to Microsoft KB updates and other patches, ranking each update’s stability based on global telemetry and community feedback so you can pre-empt incompatible or risky fixes before they hit production. Beyond individual patches, NinjaOne feeds that same AI signal into a risk-based vulnerability workflow. By blending CVE/CVSS scores with its AI-driven patch sentiment, the platform automatically surfaces the vulnerabilities most likely to compromise your estate, trims noise, and proposes the fastest remediation path—all from a single console. - Patch Intelligence AI: Generative-AI sentiment analysis highlights unstable Windows and third-party patches and recommends delay or sandbox testing.
- Predictive Endpoint Analytics: ML models detect anomalies early and launch policy-based remediation to prevent downtime.
Get started for free
| | 🤖 Big win: Gemini prompts sip energy 
Brief Buzz: Google has finally pulled back the curtain on AI's climate footprint, releasing the first detailed energy data for its Gemini chatbot. The results? Much smaller than the doom-laden projections many feared. - Each Gemini prompt uses 0.24 watt-hours of electricity — about a second of microwave time.
- That translates to 0.03 grams of CO₂ (1/150th of charging your phone) and 5 drops of water for cooling.
- Google claims a 33x efficiency improvement in one year, suggesting past estimates weren't far off until recently.
- The figures include full data center costs, not just the AI chips — though key details like total query volumes and training costs remain absent.
- Notably, Google left out energy-hungry features like Deep Research, raising questions about selective disclosure.
Read more from MIT Technology Review ➝
Why Should You Care?
AI isn't the climate villain some headlines suggest — at least per prompt. But the real challenge is scale: billions of daily queries could still add up to significant environmental impact. Google's data is a start, but without full transparency, we're still guessing at AI's true cost to the planet. 👉 Access your data anytime with Free File Hosting Service | | ⚡️ 5 AI Tools to Supercharge Your Productivity 👉 Salesforce offers a suite of AI-powered tools designed to enhance customer relationship management (CRM). With Einstein AI, it provides intelligent insights into customer behavior, automates data entry, and personalizes marketing efforts. Visit Salesforce 👉 Zoho CRM leverages AI-driven automation to streamline sales and marketing tasks, offering personalized customer engagement. Its Zia AI assistant provides smart insights, predicting sales trends and identifying leads with high conversion potential. Visit Zoho CRM 👉 Textline now includes AI‑powered text generation, enabling users to craft messages with just a text prompt. It offers AI summarization, which condenses longer conversations or documents into brief, digestible summaries. Visit Textline 👉 Quickbase is a no-code application building platform that leverages AI for process automation, predictive analytics, and intelligent workflows, helping businesses create custom solutions with minimal effort. Visit Quickbase 👉 Zendesk AI features streamline customer support with advanced tools like AI-powered chatbots for instant query resolution and natural language processing for intelligent ticket routing. It provides sentiment analysis to prioritize issues effectively, enhancing customer satisfaction. Visit Zendesk | | 🛒 AI shopping assistants: deals faster than ever 
Image source: Midjourney
Brief Buzz: Shoppers are warming up to AI-powered checkout experiences faster than expected. A new study shows growing trust in AI for shopping, with major retailers and startups racing to roll out smart purchasing tools. - 32% of consumers are open to using generative AI for purchases; adoption is strongest among bridge millennials (38%), zillennials (36%), and millennials (35%).
- Reluctance to use AI in shopping dropped from 66% to 32% in six months, according to Omnisend, though 85% still worry about privacy.
- Amazon's "Buy for Me", PayPal, Visa, and Mastercard's AI checkouts, and Google's virtual try-ons and price tracking highlight big tech's push.
- Startups like Perplexity (AI shopping for Pro users) and OpenAI (Shopping Results in ChatGPT) are also entering the race.
Why Should You Care?
AI shopping tools promise faster, more personalized, and seamless checkout experiences, from finding the right product to auto-filling payments. But the flip side is significant: privacy concerns remain high. For everyday shoppers, this means convenience could soon come at the cost of more personal data exposure. 👉 Drive faster deals using WhatsApp marketing with AI | | 💻 Prompt of The Day: ATS-Optimized CV Builder Prompt Prompt: Act as a senior CV writer, ex–in-house recruiter, and ATS specialist.
OBJECTIVE
Create a targeted, ATS-safe CV for the role below using the user’s LinkedIn as the primary source. If a CV PDF is uploaded in this chat, parse it and prefer its facts (titles/dates/credentials). Do not request a placeholder CV.
INPUTS (paste inside the angle brackets)
LINKEDIN_PROFILE = "PASTE YOUR LINKEDIN PROFILE TEXT HERE"
JOB_DESCRIPTION = "PASTE THE TARGET JOB DESCRIPTION HERE"
CONSTRAINTS
Single-column, ATS-friendly text (no tables/columns/images/symbols).
Truthful only; no fabrication. If unknown, use [MISSING: …] or metric prompts like [add %/$/#].
Mirror region/spelling and CV vs résumé conventions implied by the JOB_DESCRIPTION.
Omit sensitive personal details not needed by ATS.
PROCESS
Parse: Extract headline, summary, roles (company/title/dates/location/bullets), projects, skills, education, certs, languages. If a CV PDF exists, reconcile conflicts by preferring the PDF; flag discrepancies in notes.
Targeting: Derive 12–20 must-have keywords/phrases from the JOB_DESCRIPTION; map each to evidence from the profile (role/project/cert). Mark true gaps as [MISSING: ...].
Write the CV:
Professional Summary (3–4 lines) aligned to the JOB_DESCRIPTION, naturally weaving top keywords.
Core Skills/Technologies (clustered categories).
Experience (last ~10 years in detail): 3–5 bullets per role using Action → Context → Metric → Outcome; present tense for current role, past tense otherwise. Add metric prompts if needed.
Optional Projects (only if tightly aligned), then Education and Certifications relevant to the JOB_DESCRIPTION.
Optimize & Check: Tense consistency, date continuity, keyword coverage, no fluff/duplicates, consistent number formatting, region-appropriate spelling, minimal links.
| | 💼 Is Your Job Safe From AI? 
Brief Buzz: A new Reuters/Ipsos poll reveals deep public anxiety about AI's future impact on jobs, politics, and society. While unemployment remains low at 4.2%, most Americans fear sweeping disruption as AI adoption accelerates. - 71% worry AI will permanently replace human jobs, despite today’s strong labor market
- 77% fear AI could fuel political chaos, with deepfakes already influencing discourse
- 48% oppose AI in military strike decisions, citing ethical and safety risks
- 61% worry about energy use, as AI data centers expand
- 67% fear AI companions could replace human relationships
Meanwhile, companies are charging ahead—SoftBank recently bought a Foxconn facility in Ohio to manufacture AI servers for its Stargate project.
Why Should You Care?
AI isn't just shaping technology—it's reshaping society's expectations and fears. These concerns highlight the urgent need for responsible development, regulation, and transparency. Whether it's your job security, the trustworthiness of online information, or even the energy powering your devices, AI's influence is poised to touch every aspect of daily life. 👉 Best AI chatbots changing the future of human jobs | | 🎥 Turn Boring Documents Into Dynamic Videos! 
Image source: testingcatalog
- Open NotebookLM and set up a brand-new notebook to begin your project.
- Upload the documents you want to work with—these will shape your video overview.
- On the right-hand side, you’ll find the Studio panel. Select "Video Overview" to kick things off.
- Use the three-dot menu to fine-tune details like focus areas, your intended audience, or specific learning objectives. I found this step especially handy for keeping content on point.
- Review the automatically generated video, make adjustments if needed, and then click Download to save it as an MP4. My first time trying this, I was surprised by how polished the result looked with so little effort.
👉 Secure projects using best free cloud storage today. | | 📸 AI Generator Images: Sushi Room 
Image source: ilxama
ChatGPT Prompt: A photorealistic bedroom where every element is crafted entirely from sushi ingredients. The walls, floor, and ceiling are all made from layered sushi rolls, showcasing rice, fresh fish, and seaweed textures.
The bedframe is constructed from large, sturdy sushi rolls, supporting a mattress made from soft rice blocks layered with thin sashimi slices. The pillows and cushions on the bed are also made from carefully folded sushi pieces, resembling plush comfort.
A large wardrobe stands against one wall, made from stacked maki rolls and nigiri pieces, with sliding doors crafted from translucent seaweed sheets. The floor is covered with a sushi-patterned rug, composed of various sushi rolls arranged artistically. 👉 Pinpoint original image source with high precision | |  Hey! I'm Krishna Rungta
Founder of Guru99.com, Editor-in-chief & Technology Expert
Want to sponsor us and get in front of 350k+ AI enthusiasts? Get in touch.
Was this email forwarded to you? Sign up for free here. |
|