MBA 510 Week Three Discussion 6 Replies. 50 word min. for each student post.

Reply to the TWO students' discussion posts—minimum 50 words.

Contributions must display original thinking and good knowledge of the subject matter, including links and references to sources to support your arguments. Additionally, make sure you cite sources you reference in-text and under a “References” section in APA format. 

MAXWELL BANFUL

A typical workday for an employee in the future is going to look very different from what we’re used to today. Instead of jumping straight into emails or meetings, most people will probably start their day by checking an AI dashboard that summarizes priorities, alerts, and tasks based on real-time data. AI won’t replace the employee but will act more like a personal assistant that handles the routine noise so people can focus on the meaningful parts of their job. Employees will interact with AI tools constantly, whether they’re asking for data, generating reports, or using predictive systems to plan their work. The goal isn’t just efficiency; it’s reducing mental clutter so employees can think strategically instead of jumping from task to task.

Human interaction will still matter, but it will look different. Instead of long meetings, teams will collaborate through mixed-reality workspaces or virtual rooms where people be it remote or onsite will feel like they’re sitting at the same table. Employees will interact with colleagues across different regions more often because physical location will matter far less. Communication will also be more intentional. Because AI handles basic coordination, human conversations will focus on creativity, problem-solving, decision-making, and relationship-building.

The actual work employees do will become more analytical, creative, and personalized. Many repetitive taskssuch as data entry, scheduling, documentation, and basic troubleshooting will be automated. Employees will need strong digital skills, emotional intelligence, and the ability to work alongside advanced systems. They’ll also be expected to question AI recommendations, understand ethical implications, and ensure decisions align with company values. In many ways, employees will become AI supervisors, using human judgment to guide automated systems.

Overall, the future employee’s day will blend technology, critical thinking, and human connection. Work will feel more flexible, more focused, and hopefully more meaningful because people will spend more time doing what they’re truly good at and less time doing what machines can handle.

Brynjolfsson, E., & McAfee, A. (2017).  The business of artificial intelligence. Harvard Business Review. Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world.  Harvard Business Review, 96(1), 108–116.

Tommy Huynh

In the future, an employee’s workday will be shaped heavily by AI and smart technology. Instead of spending most of their time on routine tasks, workers will use AI tools that help organize their day, point out problems early, and automate basic work. Employees will still work with other people, but they’ll also interact with digital assistants, chatbots, and AI systems almost every hour.

Most employees will start their day by checking an AI dashboard that shows their top tasks, upcoming deadlines, and anything that needs attention. These tools will save time by sorting emails, drafting simple reports, and giving quick summaries of important information (Davenport & Ronanki, 2018). This means people can focus more on solving problems, talking with customers, or working on projects rather than doing repetitive work.

Workers will also rely more on AI for decision-making. Instead of searching through spreadsheets or reports, employees will simply ask the system a question and get instant results. Human teamwork will still matter, but the work itself will shift toward creativity, communication, and thinking through complex situations.

Example 1: In healthcare, nurses and doctors will use AI to monitor patients, predict health issues, and help identify the right treatment. This lets medical staff spend more time caring for patients and less time doing paperwork. Some hospitals already using AI have seen fewer mistakes and faster responses (Topol, 2019).

Example 2: In retail, store workers will use smart inventory systems that track products, restock automatically, and show what customers are buying. Employees can focus more on helping shoppers instead of counting items. Walmart already uses these types of tools to make daily work easier (Sharda et al., 2023).

Overall, the future workday will involve constant interaction with AI systems, making jobs faster, more efficient, and more focused on human skills instead of repetitive chores.

Reference 

Davenport, T. H., & Ronanki, R. (2018).  Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116. Sharda, R., Delen, D., & Turban, E. (2023).  Analytics, data science, and artificial intelligence (12th ed.). Pearson. Topol, E. (2019).  Deep medicine. Basic Books.