🤖〽️Prompt Engineering: Copilot Unabridged (Part 50: The Obsolescence Effect - How AI May Render Technologies and Jobs Redundant)

Prompt Engineering Series

Prompt: "write a blogpost of 600 words on how AI may start making things obsolete"

Introduction

Artificial intelligence (AI) is advancing at an unprecedented pace, reshaping industries, automating tasks, and revolutionizing the way we interact with technology. While AI brings efficiency and innovation, it also raises concerns about obsolescence—where traditional technologies, jobs, and even certain skills may become redundant. As AI continues to evolve, what aspects of society might it make obsolete?

1. The Decline of Manual Labor Jobs

AI-driven automation is already replacing human workers in manufacturing, logistics, and customer service. Robots equipped with AI can perform repetitive tasks with precision, reducing the need for human intervention. Warehouses and factories are increasingly relying on AI-powered machines to streamline operations, leading to fewer job opportunities for manual laborers.

Self-checkout systems, automated customer service chatbots, and AI-driven delivery drones are examples of how AI is gradually phasing out traditional roles. While this shift increases efficiency, it also raises concerns about employment displacement and the need for workforce retraining.

2. The End of Traditional Retail

Brick-and-mortar retail stores are facing challenges as AI-driven e-commerce platforms dominate the market. AI-powered recommendation engines personalize shopping experiences, making online retail more appealing than physical stores. Automated warehouses and AI-driven logistics further enhance efficiency, reducing the need for large retail spaces and human employees.

As AI continues to refine online shopping experiences, traditional retail models may struggle to compete, leading to store closures and a shift toward digital commerce.

3. The Transformation of Education

AI-powered learning platforms are revolutionizing education by offering personalized learning experiences. Traditional classroom-based education may become less relevant as AI-driven tutoring systems provide tailored instruction based on individual learning styles.

AI can analyze student performance, identify weaknesses, and adapt lessons accordingly, making education more efficient. While human educators will remain essential for mentorship and emotional support, AI-driven learning tools may reduce the need for conventional teaching methods.

4. The Decline of Traditional Journalism

AI-generated content is becoming increasingly sophisticated, raising concerns about the future of journalism. AI-powered algorithms can analyze data, generate news articles, and even create engaging narratives. While human journalists provide critical analysis and investigative reporting, AI-driven content creation may reduce the demand for traditional journalism roles.

Automated news aggregation and AI-generated summaries are already influencing how people consume information. As AI continues to refine content creation, traditional journalism may need to adapt to remain relevant.

5. The Shift in Healthcare Professions

AI is transforming healthcare by improving diagnostics, streamlining administrative tasks, and assisting in medical research. AI-powered algorithms can analyze medical images, detect diseases, and recommend treatment plans with high accuracy.

While doctors and healthcare professionals will remain indispensable, AI-driven automation may reduce the need for certain administrative roles and routine diagnostic procedures. AI-powered virtual assistants and telemedicine platforms are also reshaping patient interactions, making traditional healthcare models less reliant on in-person consultations.

6. The Evolution of Creative Industries

AI-generated art, music, and writing are challenging traditional creative industries. AI-powered tools can compose music, generate artwork, and write compelling narratives, raising questions about the role of human creativity.

While AI can assist artists and writers, it may also lead to the obsolescence of certain creative roles. The challenge lies in balancing AI-driven automation with human originality and emotional depth.

Conclusion: Adapting to AI-Driven Change

AI’s ability to automate tasks and optimize processes is reshaping industries, making certain technologies and jobs obsolete. While this transformation brings efficiency and innovation, it also requires adaptation.

The key to navigating AI-driven obsolescence lies in embracing new opportunities, retraining the workforce, and ensuring ethical AI implementation. As AI continues to evolve, society must find ways to integrate its advancements while preserving human creativity, employment, and ethical considerations.

Disclaimer: The whole text was generated by Copilot (under Windows 10) at the first attempt. This is just an experiment to evaluate feature's ability to answer standard general questions, independently on whether they are correctly or incorrectly posed. Moreover, the answers may reflect hallucinations and other types of inconsistent or incorrect reasoning.

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🕸Systems Engineering: Resilience (Definitions)

"The ability of a system, community, or society exposed to hazards to resist, absorb, accommodate to and recover from the effects of a hazard in a timely and efficient manner, including through the preservation and restoration of its essential basic structures and functions." (ISDR, 2009)

"The quality of being able to absorb systemic 'shocks' without being destroyed even if recovery produces an altered state to that of the status quo ante." (Philip Cooke, "Regional Innovation Systems in Centralised States: Challenges, Chances, and Crossovers", 2015)

"A swarm is resilient if the loss of individual agents has little impact on the success of the task of the swarm." (Thalia M Laing et al, "Security in Swarm Robotics", 2016)

"Resilience is the capacity of organism or system to withstand stress and catastrophe." (Sunil L Londhe, "Climate Change and Agriculture: Impacts, Adoption, and Mitigation", 2016)

"System resilience is an ability of the system to withstand a major disruption within acceptable degradation parameters and to recover within an acceptable time." (Denis Čaleta, "Cyber Threats to Critical Infrastructure Protection: Public Private Aspects of Resilience", 2016) 

"The capacity for self-organization, and to adapt to impact factors." (Ahmed Karmaoui, Environmental Vulnerability to Climate Change in Mediterranean Basin: Socio-Ecological Interactions between North and South, 2016)

"The capacity of ecosystem to absorb disturbance, reorganize and return to an equilibrium or steady-state while undergoing some change or perturbation so that still retain essentially the same function, structure, identity, and feedbacks." (Susmita Lahiri et al, "Role of Microbes in Eco-Remediation of Perturbed Aquatic Ecosystem", 2017)

"A capability to anticipate, prepare for, respond to, and recover from significant multi-hazard threats with minimum damage to social well-being, the economy, and the environment." (Carolyn N Stevenson, "Addressing the Sustainable Development Goals Through Environmental Education", 2019)

"The conventional understanding of resilience applied to socioeconomic studies regards the bouncing-back ability of a socioeconomic system to recover from a shock or disruption. Today resilience is being influenced by an evolutionary perspective, underlining it as the bouncing-forward ability of the system to undergo anticipatory or reactionary reorganization to minimize the impact of destabilizing shocks and create new growth trajectories." (Hugo Pinto & André Guerreiro, "Resilience, Innovation, and Knowledge Transfer: Conceptual Considerations and Future Research Directions", 2019)

"Is the system capacity to rebalance after a perturbation." (Ahmed Karmaoui et al, "Composite Indicators as Decision Support Method for Flood Analysis: Flood Vulnerability Index Category", 2020)

"The ability of human or natural systems to cope with adverse events and be able to effect a quick recovery." (Maria F Casado-Claro, "Fostering Resilience by Empowering Entrepreneurs and Small Businesses in Local Communities in Post-Disaster Scenarios", 2021)

"The word resilience refers to the ability to overcome critical moments and adapt after experiencing some unusual and unexpected situation. It also indicates return to normal." (José G Vargas-Hernández, "Urban Socio-Ecosystems Green Resilience", 2021)

📉Graphical Representation: Adaptation (Just the Quotes)

"It is not possible to lay down any hard and fast rules for determining what chart is the best for any given problem. Ordinarily that one is the best which will produce the quickest and clearest results. but unfortunately it is not always possible to construct the clearest one in the least time. Experience is the best guide. Generally speaking, a rectilinear chart is best adapted for equations of the first degree, logarithmic for those other than the first degree and not containing over two variables, and alignment charts where there are three or more variables. However, nearly every person becomes more or less familiar with one type of chart and prefers to adhere to the use of that type because he does not care to take the time and trouble to find out how to use the others. It is best to know what the possibilities of all types are and to be governed accordingly when selecting one or the other for presenting or working out certain data." (Allan C Haskell, "How to Make and Use Graphic Charts", 1919)

"A chart without a border line has several advantages. It is not limited to a designated area. The irregular white space surrounding it makes it more adaptable to any page size. It may be more readily placed either horizontally or vertically on the page, so long as the reduction in the size of the chart does not destroy legibility of lettering." (Mary E Spear, "Charting Statistics", 1952)

"The bar chart is one of the most useful, simple, adaptable, and popular techniques in graphic presentation. The simple bar chart. with its many variations, is particularly appropriate for comparing the magnitude, or size, of coordinate items or of parts of a total. The basis of comparison in the bar chart is linear or one-dimensional. The length of each bar or of its components is proportional to the quantity or amount of each category' represented." (Calvin F Schmid, "Handbook of Graphic Presentation", 1954)

"The common bar chart is particularly appropriate for comparing magnitude or size of coordinate items or parts of a total. It is one of the most useful, simple, and adaptable techniques in graphic presentation. The basis of comparison in the bar chart is linear or one-dimensional. The length of each bar or of its components is proportional to the quantity or amount of each category represented." (Anna C Rogers, "Graphic Charts Handbook", 1961)

"The numerous design possibilities include several varieties of line graphs that are geared to particular types of problems. The design of a graph should be adapted to the type of data being structured. The data might be percentages, index numbers, frequency distributions, probability distributions, rates of change, numbers of dollars, and so on. Consequently, the designer must be prepared to structure his graph accordingly." (Cecil H Meyers, "Handbook of Basic Graphs: A modern approach", 1970)

"It is almost impossible to define 'time-sequence chart' in a clear and unambiguous manner because of the many forms and adaptations open to this type of chart. However. it might be said that, in essence, time-sequence chart portrays a chain of activities through time, indicates the type of activity in each link of the chain, shows clearly the position of the link in the total sequence chain, and indicates the duration of each activity. The time sequence chart may also contain verbal elements explaining when to begin an activity, how long to continue the activity, and a description of the activity. The chart may also indicate when to blend a given activity with another and the point at which a given activity is completed. The basic time-sequence chart may also be accompanied by verbal explanations and by secondary or contributory charts." (Cecil H Meyers, "Handbook of Basic Graphs: A modern approach", 1970)

"Working with binned data directly addresses large data set issues of computation and plotting speed. Almost everything that can bc done with the original data can be done faster with binned data. Further, working with binned data allows image processing algorithms to be adapted and applied to bin cells. Thus tools can bc brought to bare that are not traditionally associated with exploratory data analysis." (Daniel B Carr, "Looking at Large Data Sets Using Binned Data Plots", [in "Computing and Graphics in Statistics"] 1991)

"The real value of dashboard products lies in their ability to replace hunt‐and‐peck data‐gathering techniques with a tireless, adaptable, information‐flow mechanism. Dashboards transform data repositories into consumable information." (Gregory L Hovis, "Stop Searching for Information Monitor it with Dashboard Technology," DM Direct, 2002)

"Why does representing information in terms of natural frequencies rather than probabilities or percentages foster insight? For two reasons. First, computational simplicity: The representation does part of the computation. And second, evolutionary and developmental primacy: Our minds are adapted to natural frequencies." (Gerd Gigerenzer, "Calculated Risks: How to know when numbers deceive you", 2002)

"Put everything together - from understanding data, to exploration, clarity, and adapting to an audience - and you get a general process for how to make data graphics." (Nathan Yau, "Data Points: Visualization That Means Something", 2013)