5.7–18.4 years, and longitudinal=223 aged
8.4–21.3 years). Japan
The methodological quality of the one randomized trial was based on the Consolidated Standards of Reporting Trials (Consort) strategy, which contains a checklist with 25 items, divided into: title and abstract (one item with two sub-items); introduction (one item with two sub-items); methods (five items) and a topic with information about randomization (five items); results (seven items); discussion (three items); and other information, such as registration, protocols and funding (three items). 9 , 10 Each item, if met, equals 1 point, and they were all added up according to the analysis of the papers. The score of methodological quality of this randomized trial is shown in Table 1 .
In order to synthesize the description of characteristics as main results and descriptive approach, the following information was extracted from each selected article: name of the main author, year of publication, country where the study was performed, design, sample size, type of technology evaluated, statistical variables, main results, and limitations.
Searches on PubMed and VHL using the descriptors “internet”, “child” and “growth and development” retrieved 550 articles. After applying inclusion criteria, 221 studies were selected and, after reading the titles and abstracts, 125 were excluded. 92 articles were read in full and, per the inclusion criteria and a detailed analysis, four studies were selected. Four other articles were included after an additional search in the reference list of primarily selected articles; the studies should have the same inclusion criteria defined in the methodology. Thus, eight articles made up the sample. The flowchart is shown in Figure 1 .
Most studies were epidemiological. Almost all of them were observational (n=7), and only one was an intervention study. The observational studies included were longitudinal and/or cross-sectional (n=5), case-control (n=1) and cohort studies (n=1). Only one experimental study was included, a randomized controlled trial (n=1), as shown in Table 1 .
Their methodological quality was based on their scores ( Table 1 ). Most studies were observational (n=7) and, therefore, were evaluated according to the Strobe criteria 7 . The score ranged from 17 to 22, and most articles reached 20 points (n=4), which is good methodological quality. The quality of the randomized trial with 18 points—according to the Consort 2010 criterion, which has a maximum score of 25—was also considered good. 9
The main results about the implications of technology in childhood are detailed in Tables 2 and and3 3 .
Authors (year) | Media type | Main results |
---|---|---|
Takeuchi et al. (2018) | Internet | Higher frequency of internet use was associated with decreased verbal intelligence and smaller increases in brain volume after a few years. The areas of the brain affected are related to language processing, attention, memory, and executive, emotional and reward functions. |
Slater et al. (2017) | Games (Internet) | Internet games that focus on appearance can be harmful to girls’ body self-image. |
Folkvord et al. (2017) | Games ( ) | Advertising games (advergames) encourage the consumption of unhealthy foods. |
Slater et al. (2016) | Television | Children are able to absorb or internalize social messages about sexualization, illustrated in the study as the desire for sexualized clothing. Internalizations had a negative impact on their body self-image. |
Takeuchi et al. (2016) | Games ( ) | Playing video games for long periods can cause direct or indirect interruption in neural systems’ development, which can be related to an unfavorable neurocognitive development, especially verbal intelligence. |
Takeuchi et al. (2015) | Television | Watching television affects the regional volume of the brain associated with verbal language. TV watching time was negatively correlated with verbal intelligence quotient. It can indirectly affect sensorimotor areas. |
Authors (year) | Media type | Main results |
---|---|---|
McNeill et al. (2019) | Television, Games, Apps | Use of electronic applications for less than 30 minutes a day and limited media viewing could be associated with cognitive and psychosocial development of preschool-age children. |
Yu and Park (2017) | Internet | Use of internet to socialize, exchange ideas and talk about concerns. An opportunity to socialize and make friends. |
After reading and analysis, the articles were classified and distributed into two categories according to their approach: negative aspects (n=6) and positive aspects (n=2). The review results are reported below.
Six of the studies linked technologies to negative aspects. The papers highlitghed intellectual complications, 3 , 11 , 12 body image dissatisfaction 13 , 14 and encouragement of unhealthy food consumption. 15 Table 2 shows the main information.
Excessive internet use is transversally associated with lower cognitive functioning and reduced volume of several areas of the brain. In longitudinal analyses, a higher frequency of internet use was associated with a decrease in verbal intelligence and a smaller increase in the regional volume of gray/white matter in several brain areas after a few years. These areas relate to language processing, attention and executive functions, emotion and reward. 3
In a study conducted with 80 British girls aged 8 and 9 years, appearance-focused games led participants to have a greater dissatisfaction with their appearance compared to control girls, who were not exposed to such games. Therefore, internet games that address appearance can be harmful to girls’ body self-image. 13
It’s not just appearance-focused games that have a negative impact on body image. TV shows, depending on the approach, can also impact negatively psychological development. In a study with Australian girls, some TV shows aimed for the age group of 6-9 years focused on sexualization were absorbed or internalized as social messages by children. The authors stated that the exposure made these girls whish to wear sexualized clothes and create negative relationship with their body image. 14
Furthermore, a study with 562 Dutch and Spanish children reported that, among Dutch children, games with advertisements (advergames) for high-calorie foods stimulated the consumption of unhealthy foods, while those who played other games with advertisements other that food-related, were less inclined to this eating habit. 15 Thus, depending on what the child is exposed to, some influences may not be beneficial.
Video games were associated with increased mean diffusivity in cortical and subcortical areas. That is, prolonged video game use was associated with negative consequences, as it can directly or indirectly interrupt the development of neural systems and cause unfavorable neurocognitive development, especially when it comes to verbal intelligence. 11
Another study on children’s exposure to television, identified a negative effect on the gray matter of the frontal area of the brain with consequences for verbal language. No changes were identified in sensorimotor areas as related to TV watching time; the effect may not be direct, since watching this media is often associated with less physical activity, which, in turn, causes changes in the volume of gray matter in sensorimotor areas. 12
Only two studies brought the positive aspects of technology use, related to cognitive and psychosocial development 16 and forms of interpersonal relationships. 17 Main information is shown in Table 3 .
Associations of electronic media use with psychosocial development and the executive function among 3- and 5-year-olds, particularly related to total screen time, TV shows viewing, and application use were assessed by the authors, who concluded that cognitive and psychosocial development in children 12 months later was positive when exposure to these media lasted less than 30 minutes a day. 16
In a study conducted with 2,840 students in South Korea, children with depressed mood were more likely to use the internet to socialize, exchange ideas and talk about their concerns as a way to meet their friendship needs. The Internet can be beneficial for children, who can take advantage of online opportunities for socialization and friendships based on common interests. 17
The studies analyzed, in general, show that children currently spend a significant amount of time on the Internet or other means of information, and consider that this exposure can have positive and negative impacts on children’s cognitive development and learning skills.
As for the negative impacts of this habit in childhood, the higher frequency of internet use is associated with a significant decrease in verbal intelligence, mainly related to language skills and concentration/attention abilities. One study reported frequent internet use by children as related to decreased memory performance. 18
Another issue that must be taken into account is the number of games emerging all the time with new elements of fun and entertainment to attract children. An alert should be raised, however, about destructive websites such as the Blue Whale Challenge, which target vulnerable children and young people, threaten their physical integrity and are completely unethical, leading to the gradual destruction of society. 19
On the other hand, researchers have identified, among the most frequent purposes in allowing children access technology declared by parents, the promotion of problem-solving skills (56.7%), learning of basic mathematics (53.8%), developing hand-eye coordination (46.2%), introduction to reading (51%), language (47.1%) and science (26%), as well as entertainment (56.7%). 20
Based on the studies selected, we point out an unexpected result for parents: the problematic use of electronic devices at an early age can have children show low levels of openness to experiences, increasing the level of emotional instability, impulsive or other behaviors related to attention. Then, we must reinforce that exposure to media must be carefully pondered by parents and guardians as to avoid media dependence and misuse.
Problematic internet use (PIU) is associated with less openness and agreeableness, as children with higher levels of PIU end up with a deficit in social skills and difficulties in establishing interpersonal relationships, which can lead to being less open and visible, or less friendly externally. It was also found that these children tend to experience negative emotions and use the internet as a means of feeling better about their everyday problems or unpleasant feelings. Relationships were also between problematic video game use and behavior problems, specifically related to thoughts, attention, and aggressive behavior. 21
In order to bypass the negative effects of inappropriate use of the internet, one cannot ignore, on the one hand, the positive side of these technologies. Technology is extensively available and it is almost impossible to remove it from children’s daily lives. 22 But the negative effects mentioned during the discussion deserve the same attention, as the authors place parental control and moderation as key factors. 23 In this sense, there is a directly proportional link between parental participation and attention and a less harmful relationship between children and technologies, especially regarding social factors. 24
Currently, children spend their lives immersed in the world of digital media, and research has consistently shown the growing, early and diversified use of this media. Children exposed to electronics tend to develop a desire for continued use, creating a potentially harmful cycle. Even more worrisome are the effects of digital media on young children by disrupting parent-child interaction, which is critical to a healthy emotional and cognitive development. 25
There are potential benefits of digital technology as a tool to enhance early childhood development, creativity and social connection, but it is imperative that parents monitor what their children are consuming and help them learn from it. 26
A review of the literature about media reported an adverse association between screen-based media consumption and sleep health, mainly due to delays in bedtime and reduced total sleep duration. The underlying mechanisms of these associations include:
There is, therefore, and evident need to identify the warning signs of excessive technology use in this age group and define the appropriate limit of daily screen time. Children can make a balanced use of technologies, taking advantage of them without exaggeration, favoring communication and the search for information that is relevant to learning.
It is important to emphasize that pre-judgments about technology-dependent children should be avoided, and knowing their feelings about themselves, as well as the factors that bother them, is important, as well as having a sensitive listening to form a vision of ideal approach in this condition of technology dependence by means of suggested strategies to effectively face these difficulties. 28
Although this review has important and interesting results, some limitations must be listed. First, there the number of studies identified with the criteria of our work was limited. Also, most of the studies were observational. Therefore, experimental research must be carried out as a means to understand the cause-consequence dynamics between media and their implications for child development. Further studies with larger samples and specific age groups, which would be relevant to increase statistical power, are needed.
The analysis of the articles showed positive and negative factors associated with the use of technologies by children. The main losses caused by technology use in childhood are excessive time connected to the internet, worsening of mental health, and changes in the circadian rhythm. The articles mentioned as negative factors the development of intellectual impairments, including verbal intelligence and attention, emotional instability, internet addiction, binge eating and physiological changes.
The main benefits of the use of technologies by children found were the strengthening of friendships and the possibility of greater social connection. For the preschool age group, there is evidence of improvement in cognitive and psychosocial development. Thus, in order to have technology as an ally for healthy child development, parents and guardians should limit the time of use and control the type of content seen and shared by children.
Currently, preventing internet use is an unrealistic measure, since parents and guardians also make great use of technologies. However, because of the new settings imposed by the COVID-19 pandemic, many services have moved towards digitization, including education and social interaction. Internet use nowadays is a reality for all age groups and makes this study relevant; measures aimed at optimizing its use and reducing risks must, therefore, be adopted. Once again, we emphasize the importance of parents and guardians as moderators and update training of health professionals to better guide them.
Further studies are suggested so the notion of risk-benefit of internet use and its long-term consequences for child development is kept up to date.
The study did not receive any funding.
1. introduction.
Technology is a critical factor in the development of future fashion business, helping the fashion industry evolve over time. Continuous development of creativity is essential for the industry. Today, the industry faces increasing competition and fluctuating production cycles. Almost everyone in the fashion retailing process says that technology is influencing the fashion industry. However, few people can illuminate the negative impact of technology. I found no authoritative documents providing a macro explanation, let alone a targeted prediction. The purpose of this research is not to provide a comprehensive conclusion but to critically analyze some issues and to identify areas that deserve further attention. I hope to inspire more people in the industry and research to focus on these problems and develop future creativity. The fashion industry is an area of great interest to the authors. The authors have long been in the industry and have a great interest in integrating technology into the industry, so they feel very strongly about these issues. The purpose of the work is to critically analyze some of the problems that have begun to occur, and to provide insight that can eventually influence creative new technologies. This research critical analysis approach uses a range of sources that includes industry reports, research papers, online databases, library searches, manufacturers' information, interviews, and many others.
In recent years, technological advancements have infiltrated across the fashion supply chain and production processes. These technological advancements predominantly aim to provide solutions that are believed to be faster, cheaper, or more efficient than solutions already available. Alongside these technological advancements, the introduction of e-commerce and online retailing has made it easier for suppliers to get their products in front of an audience. These advancements, in parts, drive the fast fashion business models, where consumers can have access to 'celebrity' looks at low prices and are furthermore accessible by increasing disposable incomes and a society that carries out their normal day-to-day activities online. However, the fashion industry should not forget that the human eye and the human touch play a key role in the fashion processes. Many luxury fashion businesses are still in existence because of innovation and centuries of artisan expertise in the creation of beautiful and superior quality goods that are unique to their brand. Technology was introduced into the fashion production processes in the 18th century but was used to enhance the craftsmanship of artisans. Clothes were made with the help of machines but were still much handcrafted. The invention of the sewing machine is an example of one of the major advancements in technology in the fashion industry, which led to the expansion of markets and revenue for fashion houses across the world. In the modern fashion industry, technology is integrated into production processes to make clothes cheaper, promote speed, and develop complicated patterns; the human touch is becoming less preeminent.
There are also negative impacts that technology has made on the fashion industry. The use of technology has resulted in wage loss of labor, unemployment, and loss of facility. It also degrades the environment. When one thinks about technology, it invokes the universe of the factory: its heavy, speeding machinery, its noise, and smells. Technology has created a visual language of garments. It demands precision in the makeup of the garment, which demands continuous work of the machine operators. Unlike the slow, inconsistent work of the artisan, the tournament work of the speedy machine operators facilitates an industrial production cycle characterized by rapid, eye-catching change. Technology creates textile products for early 21st-century consumers; it is a tool and a process used by industries, artisans, and designers. The use of technology is significant in enhancing the productivity and quality of the garment production in the fashion industry. All types of sewing technologies have had the basic impact of reducing the labor and skills required to make a garment. However, they have also degraded the skill level of most garment assemblers. Even the basic idea of technology is to enhance productivity by producing more products in less time. Since the group of people who were responsible for producing the product desired by today's general were unskilled, technology was accepted by fabric manufacturers and garment producers. There are some negative impacts that technology has made on the fashion industry. It has resulted in wage loss of labor, unemployment, and loss of facility, and it also degrades the environment. Thus, if used well, it may give good results, and if not, it may come out with negative results.
The main goal of any business manager is to remain profitable in any economic environment. There are no doubts that cost reductions or the optimization of any process involved in the creation of a new product is mandatory. To achieve these goals, technology improvements are always welcome. Within the fashion industry, the support or substitution of manual labor by new technologies had a negative impact on the labor requirement or the decrease in the time required to produce a new product. The continuous pressure to meet market requirements (shorter life-cycles, customized products, etc.) usually implies the company's necessity to further invest in technology. This dilemma is clearly evident when we take into account the existing literature, mainly because we can find multiple examples that demonstrate how technological advancements can cause a significant amount of labor to be replaced. On one extreme, we have critics and studies that show that nowadays only 20% of the amount of jobs are required in the automotive, textile, and footwear industries in comparison to the same number of products produced 50 years ago. With these results, no wonder that we had crucial social and political impacts in the main textile or footwear production areas, and there are also a significant amount of voices that call attention to other results such as a significant negative impact on the richness and local economies. According to the same source, the negative comments and/or critics that we may arise related to technology advancements in the production world were already present in the golden years of the industrial revolution. However, we must not forget that the same authors present other examples (tablet, washing machine, mobile phone, etc.) where the increase in labor replacement rate was also something in analysis.
Fast fashion culture promotes and reinforces human consumerism. Fashion is used as a pointer of high consumer ability by enabling even greater collections with its many opportunities. In this context, cheap and low-quality items have become much worse and huge. The term 'fast fashion' was firstly used in a New York Times article published by Suzanne Feisher in January 1990. Expressing the direct connection between fast fashion and technology, gift and the digital tools by advocating high fashion which targets the outflow and questionable consumption. In UEFA studies, sustainable fashion and fair fashion cause many problems not only for women but also for the victims of the unfair cost of life. The extraction of very neat and cheap work is far more damaging than easy to think, the value destroyed by people who contribute close value to a serious degree and damage the environment. In fact, the fast process decreases confidence, general labor factors disappear and a constant source of cheap labor is needed. The fashion industry accounts for up to 70% and 90% of the workforce in manufacturers. The constant desire to follow new trends quickly results in increased consumption, increased waste and the production of all low-quality buy products. Clothing production continues constantly, but we quickly get rid of poor-quality items. Consequently, clothing waste turns to millions of tons. Along with fast fashion sense and customer change, clothes that are now bored in the cabinet are returned to the podcast store. These clothes are referred to as unsold goods canceled orders, overproduction and awash.
Several industries, including the fashion industry, worry about the outcome of technology on the environment. While the news is mainly positive, some companies are seeing a detrimental effect due to irresponsible factors. The fashion industry mainly focuses on environmental benefits. The concept that products from fashion tech are environmentally unfriendly automatically discredits the notion of fashion technology saving resources or even the environment. This perception comes from the dominant narrative that technology in fashion denotes mass consumption, waste, and even models of how humans should look and consume. Some have even coined the terminology "fast tech" and "fast fashion" industries, which both focus on meeting the need for immediate production and meeting aesthetic trends. This can bring simultaneously negative impacts on the world, such as unethical environmental and labor factors. "Fast tech" typically refers to wearable devices, but more often than not is referred to as fast fashion: mass production of fashionable items to meet trends or certainly a quicker production than the four major fashion cycles: spring, summer, autumn, and winter. By using fabric that is prepared using non-environmentally friendly methods, such as polluting dye, unethical behavior such as the poor working conditions found in India and Bangladesh, and waste produced through garment production.
In conclusion, transforming data-driven technology from big perils to big opportunities presents an important research agenda that needs to be resolved. The fashion industry has complicated networks of stakeholders including supply chain parties from developing countries, who are often vulnerable to exploitative labor conditions. The industry is also accused of pushing fashion fads by ignoring high social and environmental costs. No wonder then that technological development that fosters a lack of accountability or transparency is one of the most potent reservations with it. In consumer markets that have proven resilient to centralized control in favor of moderation, technology inclination is likely to end in discard. As future directions of technologies dominate our lives, every industry will come across in their own way what many fashion cognoscenti already understand: that when it turns to creating objects of mass desire, new technology can only carry progression so far. The use of methods and technologies of the new generation in the fashion industry hinders business processes and reduces competitiveness of the industry in the world market of fashionable and high-quality goods. Moreover, technological progress in the fashion segment supposes that industry structure and specialization must change. Also, it may result in the market decline. What are we doing today to break this? What concept does technological development in the fashion industry have? It is necessary to present the concept of technological progress of the fashion industry, to understand which scenario of its development is more acceptable and prospective for business to regain motivation and trust of the consumers in a new stage of the world economy.
Assessing the impact of technology on modern education.
1. Introduction to Technology in Education The rapid pace of technological growth has had a major impact on the educational system of the United States. Many would argue that the effects of technology on education are many. Proponents argue that computers, the internet, and technology all promote improved achievement scores and productivity. Opponents argue that the internet serves as a means of enabling cheating and increases racial, social, and geographical inequities in education. The purpos ...
1. Introduction to Information and Communication Technology (ICT) in Education 1. Introduction to Information and Communication Technology (ICT) in Education The world development is driven by ICT, including the education sector, which is becoming dynamic. ICT has become an integral part of our life and it influences society as a whole. The teaching and learning process are being considered as isolated, and universities and educational institutions are viewed as irrelevant ivory towers. Educati ...
1. Introduction to Industry 4.0 Industry 4.0 refers to the fourth wave of the industrial revolution, which started in the early 18th century. During this period, different industries developed in sequential waves of transformation. The first wave, Industry 1.0, began with mechanization driven by innovative steam and water power, as well as mechanical production devices. It was a major turning point in history as agricultural production and animal power started phasing out, and industrial-scale ...
1. Introduction Data integration is a strategic business enabling technology that better positions enterprises for new growth opportunities and to effectively manage the explosion of corporate data resulting from market, competitive, and regulatory conditions. The revolution in business practices and enterprise capabilities produced by deploying electronic business-to-business commerce solutions and service-oriented software architectures to break down traditional stovepipes has driven the impo ...
1. Introduction In this chapter, we explore the impact of technology upon work. Two major interrelated developments, that of the nature of new work itself and the impact on work of recent technological innovations, are examined. These transformations signal a definitive break from traditional muscle-powered work systems. Although we use the terms 'information age' and 'information society' as architects of a newer type of workstation, connected by computer, linked by 'digital nerve centres', we ...
1. Introduction Communication, commonly defined as the propagation or transfer of information, establishes an intricate web among people in their daily lives. A set of tools plays a very important role in the effective and efficient transmission of information, overcoming the constraints of space and time. The role of information and communication technology (ICT) tools becomes indispensable in this age of communication revolution. The development of ICT devices has minimized the role of long-d ...
1. Introduction Industry 4.0 is considered the fourth industrial revolution. The prerequisite factors for the first three industrial revolutions were, according to Burke, machine tools (first); iron, steam, railroads, and electricity (second); and the internet and electronics in the present age. In other words, the beneficial effects of this are the result of human restraint and improvement based on digitization. In essence, these major steps revolve around a gradual process of digitization. In ...
1. Introduction The world has again reached a brink point of transformation driven by the convergence of advances in artificial intelligence, robotics, the internet of things, genetic engineering, quantum physics, and other technology fields. The rapid spread of these technologies, and their ethical and legal implications, are fundamentally changing industries, societies, economies, and geopolitics. These changes deserve much more scrutiny from business leaders so they can adapt both their busi ...
If 2023 was the year the world discovered generative AI (gen AI) , 2024 is the year organizations truly began using—and deriving business value from—this new technology. In the latest McKinsey Global Survey on AI, 65 percent of respondents report that their organizations are regularly using gen AI, nearly double the percentage from our previous survey just ten months ago. Respondents’ expectations for gen AI’s impact remain as high as they were last year , with three-quarters predicting that gen AI will lead to significant or disruptive change in their industries in the years ahead.
This article is a collaborative effort by Alex Singla , Alexander Sukharevsky , Lareina Yee , and Michael Chui , with Bryce Hall , representing views from QuantumBlack, AI by McKinsey, and McKinsey Digital.
Organizations are already seeing material benefits from gen AI use, reporting both cost decreases and revenue jumps in the business units deploying the technology. The survey also provides insights into the kinds of risks presented by gen AI—most notably, inaccuracy—as well as the emerging practices of top performers to mitigate those challenges and capture value.
Interest in generative AI has also brightened the spotlight on a broader set of AI capabilities. For the past six years, AI adoption by respondents’ organizations has hovered at about 50 percent. This year, the survey finds that adoption has jumped to 72 percent (Exhibit 1). And the interest is truly global in scope. Our 2023 survey found that AI adoption did not reach 66 percent in any region; however, this year more than two-thirds of respondents in nearly every region say their organizations are using AI. 1 Organizations based in Central and South America are the exception, with 58 percent of respondents working for organizations based in Central and South America reporting AI adoption. Looking by industry, the biggest increase in adoption can be found in professional services. 2 Includes respondents working for organizations focused on human resources, legal services, management consulting, market research, R&D, tax preparation, and training.
Also, responses suggest that companies are now using AI in more parts of the business. Half of respondents say their organizations have adopted AI in two or more business functions, up from less than a third of respondents in 2023 (Exhibit 2).
Most respondents now report that their organizations—and they as individuals—are using gen AI. Sixty-five percent of respondents say their organizations are regularly using gen AI in at least one business function, up from one-third last year. The average organization using gen AI is doing so in two functions, most often in marketing and sales and in product and service development—two functions in which previous research determined that gen AI adoption could generate the most value 3 “ The economic potential of generative AI: The next productivity frontier ,” McKinsey, June 14, 2023. —as well as in IT (Exhibit 3). The biggest increase from 2023 is found in marketing and sales, where reported adoption has more than doubled. Yet across functions, only two use cases, both within marketing and sales, are reported by 15 percent or more of respondents.
Gen AI also is weaving its way into respondents’ personal lives. Compared with 2023, respondents are much more likely to be using gen AI at work and even more likely to be using gen AI both at work and in their personal lives (Exhibit 4). The survey finds upticks in gen AI use across all regions, with the largest increases in Asia–Pacific and Greater China. Respondents at the highest seniority levels, meanwhile, show larger jumps in the use of gen Al tools for work and outside of work compared with their midlevel-management peers. Looking at specific industries, respondents working in energy and materials and in professional services report the largest increase in gen AI use.
The latest survey also shows how different industries are budgeting for gen AI. Responses suggest that, in many industries, organizations are about equally as likely to be investing more than 5 percent of their digital budgets in gen AI as they are in nongenerative, analytical-AI solutions (Exhibit 5). Yet in most industries, larger shares of respondents report that their organizations spend more than 20 percent on analytical AI than on gen AI. Looking ahead, most respondents—67 percent—expect their organizations to invest more in AI over the next three years.
Where are those investments paying off? For the first time, our latest survey explored the value created by gen AI use by business function. The function in which the largest share of respondents report seeing cost decreases is human resources. Respondents most commonly report meaningful revenue increases (of more than 5 percent) in supply chain and inventory management (Exhibit 6). For analytical AI, respondents most often report seeing cost benefits in service operations—in line with what we found last year —as well as meaningful revenue increases from AI use in marketing and sales.
As businesses begin to see the benefits of gen AI, they’re also recognizing the diverse risks associated with the technology. These can range from data management risks such as data privacy, bias, or intellectual property (IP) infringement to model management risks, which tend to focus on inaccurate output or lack of explainability. A third big risk category is security and incorrect use.
Respondents to the latest survey are more likely than they were last year to say their organizations consider inaccuracy and IP infringement to be relevant to their use of gen AI, and about half continue to view cybersecurity as a risk (Exhibit 7).
Conversely, respondents are less likely than they were last year to say their organizations consider workforce and labor displacement to be relevant risks and are not increasing efforts to mitigate them.
In fact, inaccuracy— which can affect use cases across the gen AI value chain , ranging from customer journeys and summarization to coding and creative content—is the only risk that respondents are significantly more likely than last year to say their organizations are actively working to mitigate.
Some organizations have already experienced negative consequences from the use of gen AI, with 44 percent of respondents saying their organizations have experienced at least one consequence (Exhibit 8). Respondents most often report inaccuracy as a risk that has affected their organizations, followed by cybersecurity and explainability.
Our previous research has found that there are several elements of governance that can help in scaling gen AI use responsibly, yet few respondents report having these risk-related practices in place. 4 “ Implementing generative AI with speed and safety ,” McKinsey Quarterly , March 13, 2024. For example, just 18 percent say their organizations have an enterprise-wide council or board with the authority to make decisions involving responsible AI governance, and only one-third say gen AI risk awareness and risk mitigation controls are required skill sets for technical talent.
The latest survey also sought to understand how, and how quickly, organizations are deploying these new gen AI tools. We have found three archetypes for implementing gen AI solutions : takers use off-the-shelf, publicly available solutions; shapers customize those tools with proprietary data and systems; and makers develop their own foundation models from scratch. 5 “ Technology’s generational moment with generative AI: A CIO and CTO guide ,” McKinsey, July 11, 2023. Across most industries, the survey results suggest that organizations are finding off-the-shelf offerings applicable to their business needs—though many are pursuing opportunities to customize models or even develop their own (Exhibit 9). About half of reported gen AI uses within respondents’ business functions are utilizing off-the-shelf, publicly available models or tools, with little or no customization. Respondents in energy and materials, technology, and media and telecommunications are more likely to report significant customization or tuning of publicly available models or developing their own proprietary models to address specific business needs.
Respondents most often report that their organizations required one to four months from the start of a project to put gen AI into production, though the time it takes varies by business function (Exhibit 10). It also depends upon the approach for acquiring those capabilities. Not surprisingly, reported uses of highly customized or proprietary models are 1.5 times more likely than off-the-shelf, publicly available models to take five months or more to implement.
Gen AI is a new technology, and organizations are still early in the journey of pursuing its opportunities and scaling it across functions. So it’s little surprise that only a small subset of respondents (46 out of 876) report that a meaningful share of their organizations’ EBIT can be attributed to their deployment of gen AI. Still, these gen AI leaders are worth examining closely. These, after all, are the early movers, who already attribute more than 10 percent of their organizations’ EBIT to their use of gen AI. Forty-two percent of these high performers say more than 20 percent of their EBIT is attributable to their use of nongenerative, analytical AI, and they span industries and regions—though most are at organizations with less than $1 billion in annual revenue. The AI-related practices at these organizations can offer guidance to those looking to create value from gen AI adoption at their own organizations.
To start, gen AI high performers are using gen AI in more business functions—an average of three functions, while others average two. They, like other organizations, are most likely to use gen AI in marketing and sales and product or service development, but they’re much more likely than others to use gen AI solutions in risk, legal, and compliance; in strategy and corporate finance; and in supply chain and inventory management. They’re more than three times as likely as others to be using gen AI in activities ranging from processing of accounting documents and risk assessment to R&D testing and pricing and promotions. While, overall, about half of reported gen AI applications within business functions are utilizing publicly available models or tools, gen AI high performers are less likely to use those off-the-shelf options than to either implement significantly customized versions of those tools or to develop their own proprietary foundation models.
What else are these high performers doing differently? For one thing, they are paying more attention to gen-AI-related risks. Perhaps because they are further along on their journeys, they are more likely than others to say their organizations have experienced every negative consequence from gen AI we asked about, from cybersecurity and personal privacy to explainability and IP infringement. Given that, they are more likely than others to report that their organizations consider those risks, as well as regulatory compliance, environmental impacts, and political stability, to be relevant to their gen AI use, and they say they take steps to mitigate more risks than others do.
Gen AI high performers are also much more likely to say their organizations follow a set of risk-related best practices (Exhibit 11). For example, they are nearly twice as likely as others to involve the legal function and embed risk reviews early on in the development of gen AI solutions—that is, to “ shift left .” They’re also much more likely than others to employ a wide range of other best practices, from strategy-related practices to those related to scaling.
In addition to experiencing the risks of gen AI adoption, high performers have encountered other challenges that can serve as warnings to others (Exhibit 12). Seventy percent say they have experienced difficulties with data, including defining processes for data governance, developing the ability to quickly integrate data into AI models, and an insufficient amount of training data, highlighting the essential role that data play in capturing value. High performers are also more likely than others to report experiencing challenges with their operating models, such as implementing agile ways of working and effective sprint performance management.
The online survey was in the field from February 22 to March 5, 2024, and garnered responses from 1,363 participants representing the full range of regions, industries, company sizes, functional specialties, and tenures. Of those respondents, 981 said their organizations had adopted AI in at least one business function, and 878 said their organizations were regularly using gen AI in at least one function. To adjust for differences in response rates, the data are weighted by the contribution of each respondent’s nation to global GDP.
Alex Singla and Alexander Sukharevsky are global coleaders of QuantumBlack, AI by McKinsey, and senior partners in McKinsey’s Chicago and London offices, respectively; Lareina Yee is a senior partner in the Bay Area office, where Michael Chui , a McKinsey Global Institute partner, is a partner; and Bryce Hall is an associate partner in the Washington, DC, office.
They wish to thank Kaitlin Noe, Larry Kanter, Mallika Jhamb, and Shinjini Srivastava for their contributions to this work.
This article was edited by Heather Hanselman, a senior editor in McKinsey’s Atlanta office.
Related articles.
Some people continue to experience health problems long after having COVID-19. Understand the possible symptoms and risk factors for post-COVID-19 syndrome.
Most people who get coronavirus disease 2019 (COVID-19) recover within a few weeks. But some people — even those who had mild versions of the disease — might have symptoms that last a long time afterward. These ongoing health problems are sometimes called post- COVID-19 syndrome, post- COVID conditions, long COVID-19 , long-haul COVID-19 , and post acute sequelae of SARS COV-2 infection (PASC).
Post- COVID-19 syndrome involves a variety of new, returning or ongoing symptoms that people experience more than four weeks after getting COVID-19 . In some people, post- COVID-19 syndrome lasts months or years or causes disability.
Research suggests that between one month and one year after having COVID-19 , 1 in 5 people ages 18 to 64 has at least one medical condition that might be due to COVID-19 . Among people age 65 and older, 1 in 4 has at least one medical condition that might be due to COVID-19 .
The most commonly reported symptoms of post- COVID-19 syndrome include:
Other possible symptoms include:
Keep in mind that it can be hard to tell if you are having symptoms due to COVID-19 or another cause, such as a preexisting medical condition.
It's also not clear if post- COVID-19 syndrome is new and unique to COVID-19 . Some symptoms are similar to those caused by chronic fatigue syndrome and other chronic illnesses that develop after infections. Chronic fatigue syndrome involves extreme fatigue that worsens with physical or mental activity, but doesn't improve with rest.
Organ damage could play a role. People who had severe illness with COVID-19 might experience organ damage affecting the heart, kidneys, skin and brain. Inflammation and problems with the immune system can also happen. It isn't clear how long these effects might last. The effects also could lead to the development of new conditions, such as diabetes or a heart or nervous system condition.
The experience of having severe COVID-19 might be another factor. People with severe symptoms of COVID-19 often need to be treated in a hospital intensive care unit. This can result in extreme weakness and post-traumatic stress disorder, a mental health condition triggered by a terrifying event.
You might be more likely to have post- COVID-19 syndrome if:
Post- COVID-19 syndrome also appears to be more common in adults than in children and teens. However, anyone who gets COVID-19 can have long-term effects, including people with no symptoms or mild illness with COVID-19 .
If you're having symptoms of post- COVID-19 syndrome, talk to your health care provider. To prepare for your appointment, write down:
Your health care provider might do lab tests, such as a complete blood count or liver function test. You might have other tests or procedures, such as chest X-rays, based on your symptoms. The information you provide and any test results will help your health care provider come up with a treatment plan.
In addition, you might benefit from connecting with others in a support group and sharing resources.
Make a gift now and help create new and better solutions for more than 1.3 million patients who turn to Mayo Clinic each year.
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Since Google overhauled its search engine, publishers have tried to assess the danger to their brittle business models while calling for government intervention.
By Nico Grant and Katie Robertson
Nico Grant reports on Google from San Francisco and Katie Robertson reports on media from New York.
When Frank Pine searched Google for a link to a news article two months ago, he encountered paragraphs generated by artificial intelligence about the topic at the top of his results. To see what he wanted, he had to scroll past them.
That experience annoyed Mr. Pine, the executive editor of Media News Group and Tribune Publishing, which own 68 daily newspapers across the country. Now, those paragraphs scare him.
In May, Google announced that the A.I.-generated summaries, which compile content from news sites and blogs on the topic being searched, would be made available to everyone in the United States. And that change has Mr. Pine and many other publishing executives worried that the paragraphs pose a big danger to their brittle business model, by sharply reducing the amount of traffic to their sites from Google.
“It potentially chokes off the original creators of the content,” Mr. Pine said. The feature, AI Overviews, felt like another step toward generative A.I. replacing “the publications that they have cannibalized,” he added.
Media executives said in interviews that Google had left them in a vexing position. They want their sites listed in Google’s search results, which for some outlets can generate more than half of their traffic. But doing that means Google can use their content in AI Overviews summaries.
Publishers could also try to protect their content from Google by forbidding its web crawler from sharing any content snippets from their sites. But then their links would show up without any description, making people less likely to click.
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The need to reduce the consumption of fossil fuels due to their negative impact on the quality of the air and on the greenhouse effect is causing major changes in the energy sector, with a progressively greater contribution of renewable energy sources to satisfy the global energy demand. Fuel cell technology is emerging as a key player in the energy transition since fuel cells convert directly chemical energy to electricity and heat without pollutant emissions. Among the different types available, solid oxide fuel cells (SOFC) can operate at high temperatures (up to 1000ºC), leading to high efficiency and stability. This work is concerned with the computational investigation of a planar solid oxide fuel cell. The governing conservation equations for mass, momentum, energy, species transport and electric charge are solved for a three-dimensional planar fuel cell. Different fuel and oxidizer compositions are considered and their influence on the performance of the fuel cell is investigated. The results show that when the hydrogen molar fraction in the fuel decreases, the maximum power and temperature decrease. The power, the efficiency and the maximum temperature are greater when the oxidizer is oxygen rather than air. The influence of the geometry of the air and fuel channels is also assessed, namely the dimensions of the channels and the effect of steps and obstacles in those channels.
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Negative Effects of Technology Essay. In today's world, technology has seeped into every facet of human life, revolutionizing the way we communicate, work, and entertain ourselves. While the benefits of technology are undeniable, this essay delves into the darker side of the digital world, exploring the negative effects of technology on ...
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Technology plays a crucial role in today's society. Wherever you go, there is a dependent use of technology at home, in the public, etc. Technology has had both positive and negative impacts on my life. One common positive side of the use of technology is that it makes our lives easier such as transportation, kitchen technology, getting work ...
The impact of digital technology use, both negative and positive, on these and many more brain-related phenomena has been elaborated in the review by Korte, who provides a comprehensive overview of the field. ... Importantly, different types of use have different effects: thus, procrastination and passive use were related to more negative ...
Go to: Emerging scientific evidence indicates that frequent digital technology use has a significant impact—both negative and positive—on brain function and behavior. Potential harmful effects of extensive screen time and technology use include heightened attention-deficit symptoms, impaired emotional and social intelligence, technology ...
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Essay on the Negative Effects of Technology on Mental Health. This essay sample was donated by a student to help the academic community. Papers provided by EduBirdie writers usually outdo students' samples. Technology runs the world and at this point, technological advances in any field are inevitable. Imagining a world without technology would ...
Only two studies reported negative effect sizes. Under the random-effects model, the weighted mean effect size was 0.56 with a 95% CI [0.17, 0.94], ... this study were followed by a well-justified format to identify unbiased and meaningful information from these reviewed papers [60]. 7.1. Technology Integration.
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If 2023 was the year the world discovered generative AI (gen AI), 2024 is the year organizations truly began using—and deriving business value from—this new technology.In the latest McKinsey Global Survey on AI, 65 percent of respondents report that their organizations are regularly using gen AI, nearly double the percentage from our previous survey just ten months ago.
The effects also could lead to the development of new conditions, such as diabetes or a heart or nervous system condition. The experience of having severe COVID-19 might be another factor. People with severe symptoms of COVID-19 often need to be treated in a hospital intensive care unit. This can result in extreme weakness and post-traumatic ...
Kevin Roose is a technology columnist, and co-hosts the Times podcast "Hard Fork." Published Feb. 16, 2023 Updated Feb. 17, 2023 阅读简体中文版 閱讀繁體中文版 Leer en español
Google's chief executive, Sundar Pichai, last year. A new A.I.-generated feature in Google search results "is greatly detrimental to everyone apart from Google," a newspaper executive said.
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