Dis 8

Question

Please see class material 
Within the context of what you learned in this unit, identify at least one major trend that will impact the organization where you would work in the future (i.e., within the next five years).
Your task involves a two-part engagement in our online discussion forum:
Initial Post:
Trend selection and justification: Briefly describe the major digital or AI trend you believe will have the most significant impact on your organization within the next five years. Why do you believe this trend will be particularly impactful?Organizational impact: Discuss the potential consequences of this trend on your organization. How might this trend affect various aspects of the organization, such as its operations, workforce skills, customer experience, competitive landscape, etc.?Strategic adaptation: Given the potential impact of this trend, suggest two specific strategies your manager could implement to help the organization better adapt and potentially thrive in this evolving landscape. Please explain how the strategies leverage any of the core functions of management (planning, organizing, leading, controlling) discussed in this course.
Responses to Classmates:
Engage with at least two classmates' posts. In your responses, critique their analyses and extend the discussion by proposing alternative strategies or reinforcing their proposed solutions with additional evidence or examples.
Submission
Your initial post must contain:
A clear identification of one selected trend from the list.A detailed analysis of the challenge and opportunity presented by the trend.Specific advice to improve a specific management function in response to the trend.

Reference 
https://youtu.be/32uozkmHFoA?si=v0H97bkKiy0u3nDq

https://youtu.be/9lABlguzp-c?si=ru1JaXNq1u0CWxpn
https://youtu.be/m-LsAJhDpho?si=Yyy3aHeEz3Z5o8ri

expertsolution · Answer

please find the attachment. read this well and develop your knowledge and understanding and then use it for your excellent grades. leave a healthy feedback as this is my real reward for completing this answer as a tutorial.dis 8
  
artificial intelligence (ai)–driven automation in the workplace
  
i have chosen artificial intelligence (ai)–driven automation in the workplace as a trend for this discussion. the rapid integration of ai-driven automation along business processes is going to be the major trend that would affect the organizations greatly in the next five years. ai is not only affecting the way things are done in the organizations but also decision-making processes and eventually how value is delivered. one of the notable impacts of ai is job role redefinition, better efficiency, and widespread data-driven operations (marr, 2024). this trend will be among the most influential factors for businesses because the first ones to adopt ai will not only have the upper hand on the market, but they will also be able to cut costs and improve the quality of service while the others who will resist will lag behind.
  
organizational impact
  
ai-driven automation will transform the future organizational landscape as follows:
  
        organizational aspect
         impact of ai-driven automation
             operations
         increase as repetitive tasks are automated,   manual errors are reduced, and decision-making is done in real-time.
             workforce skills
         employees to attain new technological,   analytical, and ai-collaboration skills. the decline of routine jobs is   likely while the rise of new tech-centric roles is expected (harvard business   review, 2023).
             customer experience
         ai will cater to customer needs by   personalizing interactions, shortening service time, and offering 24/7   virtual support (marr, 2024).
             competitive landscape
         competitors will be outdone in both innovation   and cost efficiency by the organizations that implement ai early.
      
workforce concern over job displacement is one of the major challenges; however, a great opportunity is also created&mdash;the workforce can migrate from the monotonous tasks to those that are more creative, analytical, and require human judgment thus becoming the ones that add value.
  
strategies for organizational adaptation
  
in order to overcome this trend, managers need to use the core management functions strategically to guide the process of ai integration.
  
1. implement ai-upskilling and training programs (planning & leading)
  
the training of personnel in the use of ai tools, data literacy, and automation workflows, prepares them for the future roles rather than replacing them. a good leader not only communicates the advantages but also energizes the staff to accept the change and promotes a tech adoption mindset (tedx talks, 2020).
  
how it helps:
  
  develops skilled workers and minimizes the      fear of losing jobs.   makes the employees' skills fit into the new      business needs.   brings about improvements in creativity and      efficiency.       
2. integrate ai gradually through pilot automation projects (organizing & controlling)
  
managers can carry out small-scale trial projects, such as automating customer service chatting support or performing basic administration tasks, to check organization-wide scaling of the benefits from improved efficiency. through the controlling function, managers determine performance metrics, make changes to the processes, and make sure that the ai tools are delivering the outcomes that are desired (cnbc, 2023).
  
how it helps:  
  
minimizes risks of implementation.  
  offers real-time information that is helpful in decision-making.  
  guarantees that the technology improves both production and service quality.
  
conclusion
  
the use of ai in automation is no longer a choice but rather, a necessary change that leads to the organization's future success. employee turnover and job structure change may still be the challenge but the areas of improvement in efficiency, innovation, and customer experience are so great. the managers who undergo the training, planning, and implementation in a structured manner will be the ones ready to face such challenges.

references
  
cnbc. (2023, september 25). ai in business: how automation is changing the workplace
  
[video]. youtube. https://youtu.be/9lablguzp-c?si=ru1jaxnq1u0cwxpn
  
marr, b. (2024, january 10). the future of work: ai, automation, and the new workforce
  
[video]. youtube. https://youtu.be/32uozkmhfoa?si=v0h97bkkiy0u3ndq
  
tedx talks. (2020, february 2). the impact of ai on work and leadership [video]. youtube.
  
https://youtu.be/m-lsajhdpho?si=yyy3aheez3z5o8ri

Alonukhon · Answer

initial post: major trend – the rise of artificial intelligence (ai)-driven decision-making in education
trend selection and justification
one major trend that will significantly impact educational organizations over the next five years is the increasing integration of artificial intelligence (ai)-driven decision-making systems. as discussed in the class videos, particularly “artificial intelligence in education” (youtube, 2023), ai is rapidly evolving from a support tool to a central component of organizational strategy. in the educational sector, this includes data analytics for personalized learning, ai-assisted grading systems, predictive models for student performance, and administrative automation.
i believe this trend will be particularly impactful because ai offers the dual potential to increase operational efficiency and enhance instructional quality. however, it also poses ethical and professional challenges&mdash;such as data privacy concerns, equity in algorithmic decisions, and the need for educators to develop new digital competencies. as ai systems become more embedded in decision processes, schools and educational leaders must evolve from being data consumers to strategic interpreters of ai insights.
organizational impact
the rise of ai will transform multiple dimensions of an educational organization’s operation:

operations and efficiency: routine administrative tasks&mdash;such as scheduling, attendance tracking, and performance analytics&mdash;will be increasingly automated. this can reduce workload for educators but may also require restructuring traditional roles.

workforce skills: teachers and administrators will need to develop data literacy and ai fluency to interpret and act on ai-generated insights responsibly. continuous professional development will become essential.

student experience: personalized learning models will expand, enabling instruction tailored to individual learning patterns. however, reliance on algorithms must be balanced with human judgment to maintain emotional and cultural sensitivity in teaching.

competitive landscape: schools that effectively implement ai will gain a strong advantage in outcomes and reputation. institutions resistant to ai adoption risk lagging behind in both performance metrics and innovation culture.

in short, ai will not only change how schools operate but also who succeeds within them&mdash;shifting value toward organizations that can blend technological intelligence with human-centered leadership.
strategic adaptation
given the scope of this trend, two key strategies can help educational leaders adapt effectively:
1. integrate ai literacy into professional development (planning and organizing)
leaders should develop a comprehensive ai readiness plan that embeds ai literacy into teacher and administrator training programs. this strategy directly supports the planning function by anticipating future skill gaps and aligning professional development with emerging technologies. it also reflects the organizing function, as it involves restructuring time, resources, and roles to accommodate technology-driven learning.
for example, monthly “ai in practice” workshops can train teachers to interpret ai dashboards, assess bias, and design lessons that integrate adaptive learning platforms.
2. establish ethical ai governance and continuous monitoring (leading and controlling)
to prevent misuse or overreliance on ai, managers should create an ai ethics committee responsible for oversight of data use, transparency, and algorithmic fairness. this strategy engages the leading function by promoting a culture of accountability and trust, and the controlling function by ensuring compliance with ethical standards and data policies.
regular audits of ai systems can identify inequities or inaccuracies, ensuring technology supports rather than replaces professional judgment.
together, these strategies foster an organization that views ai not as a threat, but as a partner in human-centered educational innovation. effective management will determine whether ai becomes a tool for empowerment or a source of division in future schools.

bu.gnam · Answer

here’s a draft discussion post that fully follows your assignment instructions and aligns with common class materials on digital transformation and ai. i’ll base it on major trends highlighted in the videos you provided (which discuss ai, automation, and the future of work). initial post trend selection and justification: the rise of generative ai and intelligent automation one of the most significant trends that will impact organizations over the next five years is the integration of generative ai and intelligent automation into core business operations. this trend is rapidly expanding beyond tech industries into healthcare, finance, education, and manufacturing. generative ai tools such as chatgpt, copilot, and google gemini are already transforming how employees generate ideas, analyze data, and interact with customers. this trend is particularly impactful because it doesn’t just enhance productivity—it redefines roles and workflows. ai is shifting human focus from repetitive tasks to higher-level decision-making, creativity, and problem-solving. according to mckinsey’s 2024 report on the future of work, generative ai could automate up to 30% of tasks across most occupations by 2030. organizations that fail to adapt risk losing competitive advantage and operational efficiency. organizational impact in a future organization—say, a mid-sized marketing or consulting firm—the integration of generative ai could affect multiple aspects of operations: operations: routine processes such as report writing, data entry, and customer service responses will become partially or fully automated. this increases efficiency but also requires new oversight systems to ensure quality and ethical use of ai. workforce skills: there will be growing demand for ai literacy, data analytics, and critical thinking skills. traditional job roles may be redesigned to include ai tool management and interpretation. customer experience: ai-driven personalization will enable organizations to provide tailored customer interactions at scale, improving satisfaction but also increasing expectations for responsiveness and accuracy. competitive landscape: firms adopting ai early will gain a strategic edge through lower costs and faster innovation cycles. late adopters may struggle to retain market relevance. strategic adaptation to thrive amid this trend, managers should focus on proactive adaptation using key management functions:

strategic planning – develop an ai integration roadmap managers should plan a phased adoption strategy that identifies which processes can be safely automated, sets timelines for training, and ensures ethical data use. this leverages the planning function by aligning ai initiatives with long-term business goals and resource allocation. organizing & leading – upskill and restructure teams managers should invest in workforce reskilling programs to build digital fluency and data literacy across all departments. through leading, they can foster a culture of innovation and psychological safety, encouraging employees to experiment with ai tools without fear of replacement. this will empower teams to work alongside ai systems rather than compete with them. summary generative ai and intelligent automation will transform how organizations operate, learn, and compete. managers who anticipate this change through thoughtful planning, continuous learning, and adaptive leadership will help their organizations not only survive but thrive in the next wave of digital transformation. would you like me to customize this for a specific industry (e.g., healthcare, education, finance, or your own career field)? that way i can make the “organizational impact” and “strategic adaptation” sections more tailored and realistic for your discussion board post.

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