AI Skill NowAI Skill Now

A web-based AI agent that automatically collects, processes, and publishes the latest research and news about AI's impact on jobs and skills • Last updated January 20, 2026 • 04:02 CST

📊 Today's Data Collection

News items: 44 articles gathered
Research papers: 6 papers fetched
Highlights: 5 top items
AI Tools: 10 newest tools curated
Flagship research: 5 papers featured
Total sources: 9 data feeds processed

⭐ Highlights

🚀 Newest AI Tools

💼 Workplace & Research Tools

Echo Now AI

Trending

Intelligent Slack summaries to reclaim your day.

New Dialogue

Trending

Empower teamwork with private AI assistance.

AI to streamline your email management effortlessly.

💻 Code & Data Tools

Sherlocks.ai

Trending

AI SRE teammates that never sleep.

Vectara

Trending

Conversational search for smarter data queries.

Streamline your data analytics processes.

🎨 Creative & Communication Tools

AI-driven presentation enhancement.

MyCopyBot

Trending

Turn Words Into Cash Flow - In Seconds.

Try new hairstyles in seconds.

🌟 Wildcard

This Year, Don’t Just Set Resolutions - Build the App for them

This Week's Trends

This week's AI tools trend towards enhancing productivity and creativity, with a strong focus on practical utility, especially in workplace communication and data management. Emerging tools are highly specialized, offering unique solutions to everyday challenges, while maintaining diversity in application.

📰 AI Jobs & Skills News

Are students and workers ready for AI?

Brookings2025-12-05
… no AI jobs apocalypse– for now,” and it was published in October. Can you give a top line of your findings? [1:22] KINDER: So our top line is if you look at the period of time since Chat GPT was launched, it was actually three years ago this this past month, we looked … The post Are students and workers ready for <em class="algolia-search

📄 Research & Policy Reports

Do explanations generalize across large reasoning models?

arXiv AI & Jobs Research (Koyena Pal, David Bau, Chandan Singh)Published: 2026-01-16
Large reasoning models (LRMs) produce a textual chain of thought (CoT) in the process of solving a problem, which serves as a potentially powerful tool to understand the problem by surfacing a human-readable, natural-language explanation. However, it is unclear whether these explanations generalize, i.e. whether they capture general patterns about

Building Production-Ready Probes For Gemini

arXiv AI & Jobs Research (János Kramár, Joshua Engels, Zheng Wang, Bilal Chu)Published: 2026-01-16
Frontier language model capabilities are improving rapidly. We thus need stronger mitigations against bad actors misusing increasingly powerful systems. Prior work has shown that activation probes may be a promising misuse mitigation technique, but we identify a key remaining challenge: probes fail to generalize under important production distribut

Capacity Constraints Make Admissions Processes Less Predictable

arXiv AI & Jobs Research (Evan Dong, Nikhil Garg, Sarah Dean)Published: 2026-01-16
Machine learning models are often used to make predictions about admissions process outcomes, such as for colleges or jobs. However, such decision processes differ substantially from the conventional machine learning paradigm. Because admissions decisions are capacity-constrained, whether a student is admitted depends on the other applicants who ap

"Can You Tell Me?": Designing Copilots to Support Human Judgement in Online Information Seeking

arXiv AI & Jobs Research (Markus Bink, Marten Risius, Udo Kruschwitz, David )Published: 2026-01-16
Generative AI (GenAI) tools are transforming information seeking, but their fluent, authoritative responses risk overreliance and discourage independent verification and reasoning. Rather than replacing the cognitive work of users, GenAI systems should be designed to support and scaffold it. Therefore, this paper introduces an LLM-based conversatio

Children's Expectations, Engagement, and Evaluation of an LLM-enabled Spherical Visualization Platform in the Classroom

arXiv AI & Jobs Research (Emelie Fälton, Isabelle Strömstedt, Mathis Brossie)Published: 2026-01-16
We present our first stage results from deploying an LLM-augmented visualization software in a classroom setting to engage primary school children with earth-related datasets. Motivated by the growing interest in conversational AI as a means to support inquiry-based learning, we investigate children's expectations, engagement, and evaluation of a s

Evaluating 21st-Century Competencies in Postsecondary Curricula with Large Language Models: Performance Benchmarking and Reasoning-Based Prompting Strategies

arXiv AI & Jobs Research (Zhen Xu, Xin Guan, Chenxi Shi, Qinhao Chen, Renzhe)Published: 2026-01-16
The growing emphasis on 21st-century competencies in postsecondary education, intensified by the transformative impact of generative AI, underscores the need to evaluate how these competencies are embedded in curricula and how effectively academic programs align with evolving workforce and societal demands. Curricular Analytics, particularly recent

📊 Flagship Research