The article discusses various aspects of employee training and development, providing insights and recommendations on how to incorporate industry trends, cater to different learning styles, evaluate program success, create interactive training methods, and implement best practices. The author emphasizes the need to align training programs with specific business goals, adapt to employee demographics, and ensure engagement and participation. Additionally, they suggest utilizing metrics, data analysis, and innovative approaches such as gamification and simulations to enhance effectiveness. Effective communication, feedback, employee participation, and monitoring are also highlighted as crucial throughout the implementation process.
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The IMF Warns About AI’s Impact on Inequality
The International Monetary Fund (IMF) has warned that artificial intelligence (AI) could worsen inequality among nations if not properly addressed by policymakers. The IMF states that AI is likely to affect around 60% of jobs in advanced economies, with some workers benefiting from the integration of AI while others risk losing their jobs. The IMF urges countries to establish social safety nets and provide retraining programs to protect vulnerable workers and curb inequality. The IMF’s analysis coincides with discussions on AI at the World Economic Forum in Davos. China has already introduced national regulations on AI development and deployment.
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It’s going to take a century for artifical intelligence to be able to perform most human jobs. But there are going to be some key developments during the next decade.
According to a survey of leading AI researchers, all human tasks may become highly automatable by 2116. While this prediction seems far off, it is worth noting that it has been moved up by 50 years from the original estimate of 2164. Short-term developments are also expected to reshape IT and business professionals’ jobs within the next five to 10 years. The survey highlights several capabilities that AI will achieve in the near future, including finding and patching security flaws, building websites, offering phone banking services, writing Python code, finetuning large language models, and conducting machine-learning studies and writing papers. The researchers attribute the development of AI to the drop in computing costs.
https://www.zdnet.com/article/this-is-what-ai-will-produce-during-the-next-decade-and-beyond/
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Many businesses are not yet prepared to fully reap the benefits of AI.
AI has become a ubiquitous technology, with companies exploring its applications for revenue growth and improved customer and employee experiences. However, most businesses are unprepared to leverage AI to its fullest extent, limiting its potential. Only a small number of companies are successfully applying AI to improve their operations and create new value. AI-powered automation, when combined with specialized and generative AI, can boost productivity, eliminate errors, and achieve faster results. Successful examples include Cathay Pacific, British Airways, and Intel. To fully deliver on its promise, AI initiatives must be part of a larger business strategy and be governed, trusted, and actionable.
https://www.businessinsider.com/sc/how-to-unlock-ai-true-business-value
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Rose-tinted predictions for artificial intelligence’s grand achievements will be swept aside by underwhelming performance and dangerous results.
The year 2023 saw widespread hype around generative AI, with expectations of AI-powered advancements becoming common. However, in 2024, there will be a need to readjust expectations as evidence emerges showcasing the limitations of generative AI. These models are prone to providing false information and hallucinations, making it difficult to anchor predictions to known truths. Anticipation of exponential productivity improvements and artificial general intelligence will prove unfounded, leading to a shift in focus towards identifying human tasks that can be augmented by these models. Moreover, the adoption of generative AI will result in job displacement without significant productivity gains. ChatGPT and similar models will dominate social media and online search, leading to increased manipulation, misinformation, and mental health issues. The industry will experience a duopoly with Google and Microsoft/OpenAI as dominant players, sparking calls for antitrust and regulation. However, meaningful regulation is not likely to arrive until the US government catches up with the technology in subsequent years.
https://www.wired.com/story/get-ready-for-the-great-ai-disappointment/
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ARTIFICIAL intelligence could hit three in five workers — possibly replacing their jobs. The warning comes in a new International Monetary Fund report on the future of work. It warned of lower sala…
According to a new International Monetary Fund (IMF) report, artificial intelligence (AI) could potentially replace three in five workers, with some jobs potentially disappearing altogether. The IMF also warned of lower salaries and cuts in hiring as a result of AI integration. A separate study from PwC revealed that bosses in Britain are adopting AI technology at a faster rate than their counterparts in the US, China, and Europe, which could have a larger impact on British workers. The IMF also noted that while younger workers could benefit from AI, older workers may struggle to adapt.
https://www.the-sun.com/tech/10102321/artificial-intelligence-workers-replacing-jobs/
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Discover how generative AI is more likely to augment jobs rather than replace them, transforming tasks and creating new opportunities for efficiency and innovation.
Generative AI tools like ChatGPT are driving the trend towards AI-driven automation. While many fear job losses, the impact of generative AI is more likely to be job augmentation rather than job displacement. A McKinsey report predicts that by 2030, 30% of hours currently worked in the US economy could be automated. However, only around 20% of jobs are considered “highly exposed” to generative AI automation. Jobs like customer service representatives face a higher risk of displacement, but tasks requiring human judgment and empathy will still need human intervention. On the other end of the scale, many jobs, such as teaching, healthcare, law, and software development, will integrate generative AI tools to automate repetitive tasks so that humans can focus on aspects that require uniquely human skills. In summary, rather than fearing job losses, individuals should examine their job roles to identify how generative AI could augment their work.
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Climbing the corporate ladder from your couch? Think again. The hidden limitations of remote work are here. My friend Max is employed at a company that offers its employees the option to work from…
The article discusses the hidden limitations of remote work and how it can affect career progression. The author shares a personal anecdote about their friend Max, who had to relocate for personal reasons and was subsequently excluded from internal communications and passed over for a promotion. The article mentions that studies support the idea that remote employees are less likely to be promoted or receive raises compared to those working in the office. The author also highlights their previous article’s viewpoint on remote work, stating that it may be more beneficial for experienced employees but could hinder the career development of younger employees without in-person mentorship and training.
Analysis: The article emphasizes the potential negative impact of remote work on career advancement, presenting a contrarian view to the common perception that remote work offers more flexibility and freedom. By citing personal experiences and studies, the author challenges the idea that remote employees have the same opportunities for promotion and salary increase as their office-based counterparts. The mention of the previous article shows the author’s consistency in their viewpoint, suggesting that remote work is not suitable for every business and employee.
https://medium.com/illumination/if-you-want-a-promotion-dont-work-from-home-3417ea76193e
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The losers: CEOs who wanted butts in seats 5 days a week.
A new survey from the Conference Board reveals that only 6 out of 158 U.S. CEOs plan to prioritize bringing workers back to the office full-time by 2024. This indicates a shift in the mindset of executives, who are increasingly accepting hybrid work arrangements as the norm for knowledge workers. Another survey by Deloitte found that 65% of CFOs expect their company to offer a hybrid work arrangement this year. Remote work is likely to be the most persistent economic legacy of the pandemic, with 20%-25% of U.S. workers currently working from home part of the week. Employees prefer flexibility and clear strategies behind office attendance policies. Even CEOs who advocate for office work have hybrid options in their own companies. The pandemic has given companies the experience of remote work and changed the way we work long-term.
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Atlassians choose where they work, every single day. Download our free report to see what we’ve learned as a result.
Atlassian’s approach to distributed work, known as Team Anywhere, has enabled employees to choose where they work since 2020. The company’s workforce has become highly distributed, with employees collaborating from over 10,000 locations. Despite this, 92% of employees say the distributed work policy allows them to do their best work, and 91% consider it an important reason for staying at Atlassian. The company has also seen benefits such as increased representation of women in certain geographies and high visitation rates to their offices. Atlassian shares their insights and key findings from their experience in their report, “Lessons Learned: 1,000 Days of Distributed at Atlassian.”
Analysis: Atlassian’s experience with distributed work showcases the successful implementation of a flexible work policy. Their high employee satisfaction rates and increased representation of women highlight the advantages of offering remote work options. The company’s focus on using data to inform decisions and running experiments to improve collaboration shows their commitment to continually evolving their distributed work practices. Additionally, Atlassian’s emphasis on how teams work, rather than where they work, challenges the conventional thinking that physical presence in an office is necessary for productivity.
https://www.atlassian.com/blog/distributed-work/distributed-work-report
About Me
Digital transformation, including agile and devops, across many industries, most recently in higher education. Designed and built the Emory faculty information system. Working in continuing education to improve and expand career-focused learning, esp. in workforce development. Expanding the role of innovation and entrepreneurship. Designed, built, and launched the Emory Center for Innovation.
Recent Posts
- Jasper is a useful tool for developing employee training.
- The IMF Warns About AI’s Impact on Inequality
- It’s going to take a century for artifical intelligence to be able to perform most human jobs. But there are going to be some key developments during the next decade.
- Many businesses are not yet prepared to fully reap the benefits of AI.
- Rose-tinted predictions for artificial intelligence’s grand achievements will be swept aside by underwhelming performance and dangerous results.
Favorite sites
- Daring Fireball
Favorite podcasts
- Manager Tools