Here’s how you can get in your 30 mins or less of upskilling so you can develop a growth mindset each day, contribute more meaningfully to your work, and raise your income potential and exposure to lucrative career opportunities with leadership skills. https://t.co/kNwMsY9Hli https://t.co/WvObe6ktWw ...

This story was originally published on HR Dive. To receive daily news and insights, subscribe to our free daily HR Dive newsletter. The majority of leaders surveyed by General Assembly said entry-level employees remain unready for their jobs, despite perceiving them as more prepared than last year, according to a report the talent pipeline company released Sept. 23. Only 22% of company leaders (VP level in the U.S.) surveyed said entry-level workers were very or completely prepared to do their jobs. Meanwh ...

AI Integration and Education - The speaker initially felt using AI for writing was lazy but was impressed by its potential [1][2] - The speaker pivoted from economics to business with a focus on AI integration [3] - The speaker spent time learning Python and deep learning, but suggests low-code platforms can accelerate upskilling [4] - The speaker educates and trains students on AI, helping them create deployable projects [7] Talent Development and Industry Needs - Computer science enrollment is increasing, for example, N US saw a 68% increase [8] - Malaysia and Indonesia are leading producers of STEM graduates [8] - Industry expresses concern about a lack of talent development in leading technologies [8] - AI is expected to influence 60% of jobs in advanced economies and 35% in emerging economies [9] Practical AI Application and Portfolio Building - The speaker advocates for thinking about application, not just submission, in AI projects [11] - The speaker developed a car price prediction model using scraped data [13] - The speaker emphasizes the importance of visualization in communicating AI project ideas [15][16] - The speaker suggests curating a portfolio through LinkedIn networking, personal websites, or articles [17][19][21]

Group 1 - Companies are increasingly investing in and adopting AI tools, with nearly 30% already having replaced jobs with AI, and 37% expecting to do so by the end of 2026 [1] - AI adoption is projected to reshape the job market significantly over the next 18 to 24 months, leading to the displacement of routine roles and the emergence of new job categories focused on AI oversight and collaboration [2] - Economic uncertainty, trade policy, and AI are cited as primary reasons for hiring pullbacks and layoffs, with 39% of surveyed leaders having conducted layoffs in 2025 and 58% believing layoffs are likely in 2026 [2] Group 2 - High-salary employees and those lacking AI-related skills are at the highest risk for layoffs, with recently hired and entry-level workers also facing increased vulnerability [3] - Companies are moving towards leaner, tech-ready workforces, prioritizing cost efficiency and agility over traditional career pathways, prompting a need for professionals to reskill in AI and emerging technologies [4] - Soft skills such as adaptability and emotional intelligence are becoming increasingly important, alongside technical skills, for differentiating top talent in the future [4] Group 3 - Recent trends indicate that HR leaders have engaged in "serial layoffs," reflecting a shift towards reactive workforce management rather than long-term planning, which has negatively impacted morale and led to a loss of critical skills [5]

व्हाट इफ आई टोल्ड यू दैट चूजिंग अ करियर डिडट हैव टू बी सो ओवरवेल्मिंग। द ट्रुथ इज़ दैट इट कैन बी क्लियरर देन मोस्ट ऑफ़ द पीपल इवन थॉट ऑफ। वी स्पेंड नियरली 1/3 ऑफ़ आवर लाइफ वर्किंग येट स्टडीज शो दैट 70% ऑफ़ प्रोफेशनल्स आर स्टक और डिसटिसफाइड इन देयर जॉब। इजंट इट स्ट्रेंज. बिकॉज़ समथिंग सो इंपॉर्टेंट इन आवर लाइफ। वी आर चोजिंग समथिंग बाई चांस एंड नॉट बाई चॉइस। व्हेन आई स्पीक टू स्टूडेंट्स ओर व्हेन आई स्पीक टू प्रोफेशनल्स अबाउट करियर्स। आई गेट अ लॉट ऑफ़ मिक्स्ड रिस्पॉन्स। सो फॉर स्टूडेंट्स द कन्फ्यूजन इज़ शुड आय गो फॉर ...

When you think about the workforce, think about it in three things that you have to do. You have to upskill that the people that you have, right. Give them the skills.That's why everybody's being trained in Agentic AI in the same way everyone was trained with Genai. You have to do a talent rotation. There are some people that won't make the journey, right.You have a mismatch in skills and you're not able to train uh uh you know, everyone. And then you also will have efficiencies. So if you keep that framewo ...

Core Insights - HR professionals are shifting focus towards internal mobility and skills-based development due to lower turnover rates and hiring freezes [1][2][3] Group 1: Hiring Trends - Quit rates have decreased to 2%, prompting HR teams to prioritize internal reskilling and workforce redeployment over external hiring [2] - The U.S. job market is showing signs of stagnation, with only 22,000 jobs added in August and a revision indicating a loss of 13,000 jobs in June [3] - A significant number of CHROs expect to reduce hiring in the next six months, with 66% of HR managers reporting hiring freezes [4] Group 2: Hiring Freezes - Among those with hiring freezes, 36% have paused all entry-level hiring, 30% have halted mid-level hiring, and 25% have stopped leadership hiring [5] - Nearly half of HR managers anticipate recruitment will remain paused for the next 12 months, with 16% projecting a two-year pause [5] Group 3: Reasons for Hiring Freezes - Hiring freezes are primarily due to cost reductions, economic uncertainty, and organizational restructuring [6] - HR managers are also facing board pressure to limit headcount and are adapting to automation that reduces the need for new roles [6] Group 4: Workforce Development - In response to hiring freezes, HR managers are focusing on reviewing career frameworks and enhancing employee engagement [7] - 43% of HR managers are upskilling their workforce, particularly in digital skills, risk management, cybersecurity, and leadership [7]

Future Skills & AI - The industry emphasizes that the future isn't a destination but a skill to be built, highlighting the importance of continuous learning and adaptation [1][7] - The industry notes a shift in focus from knowing all the answers to asking relevant questions, and from competition to collaboration, especially in the age of AI [2] - The industry stresses the need to upskill and reskill to keep pace with rapidly changing technologies and the evolving job market [2] - AI is not a destination but a language that requires practice and continuous learning [2][6] - The industry introduces the "LEAP" model, emphasizing Learn to Learn, Emotional Intelligence, Ambiguity into Creativity, and Prompt Engineering as essential skills [2][4] Education & Personal Development - Traditional education systems are not adequately preparing students for the future, as they still rely on outdated teaching methods [2] - The industry highlights the importance of courage in learning, relearning, and facing the world with updated skills [2][6] - AI can amplify one's voice and potential, as demonstrated by the example of a girl who started her own podcast channel after using ChatGPT to overcome her fear of public speaking [5] Strategic Imperatives - The industry encourages organizations and educational institutions to adopt the "LEAP" model to cultivate essential future skills [4] - The industry advocates for leaping into the future rather than chasing it, embracing AI intelligence and continuous skill development [6][7]

AI Impact on Labor Market - AI技术正日益取代中等技能工作，对经济阶梯的中层造成冲击，尤其影响入门级职位和技术工作[12][13] - 过去两年，入门级职位空缺减少约三分之一，因为雇主发现管理AI工具比雇佣初级员工更经济高效[14] - 一家公司的CEO表示，其AI工具每天生成近10亿行代码，约占全球每日代码生成量的三分之一[10] - 部分公司鼓励雇主用AI员工取代现有员工，声称AI员工每周工作70小时且不会抱怨工作生活平衡[11] Societal Response and Mitigation Strategies - 面对AI带来的挑战，个人应提升自身技能，关注AI对其所在领域的影响，抓住机遇[15][16] - 借鉴19世纪农业革命的经验，政府、企业和非营利组织应承担起劳动力技能提升的责任，加大教育投入[17] - 鼓励创业，利用AI技术降低创业成本，投资者也在关注首个单人运营的十亿美元级别公司的出现[18][19] - 呼吁社会加快对AI监管的步伐，借鉴社交媒体成瘾问题的应对经验，避免重蹈覆辙[20] AI's Dual Nature - AI既能像2010年代那样帮助专家达到新的高度，也能像工业和农业革命中的自动化一样取代低技能体力劳动[6][12] - AI技术可能像社交媒体一样使人沉迷，2012年的研究表明，AI驱动的社交媒体与香烟和酒精一样容易让人上瘾[19] - 一家香港制药公司完成了首个完全由AI开发的药物的二期临床试验，该药物用于治疗特发性肺纤维化（IPF），每年有3万到4万人被诊断出患有IPF，平均寿命仅为3到5年，新药有望限制症状甚至逆转病情[4][5]