What are the five pros and cons of artificial intelligence?

AI creates new opportunities in programming and automation, but experts warn of the spread of harmful content and risks to early-career workers.

Supporters of artificial intelligence (AI) argue it can raise productivity and create new kinds of work, but its rapid development is raising concerns about job losses, the spread of misinformation, and the resources needed to power AI infrastructure [Dado Ruvic/Illustration/Reuters]

Artificial intelligence has rapidly become a tool used by hundreds of millions of people, but tech leaders are sounding alarms against the rapid advancement of AI that is being seen as a threat to humanity.

AI systems can now generate text and images, write computer code, and perform complex analyses that once required a significant amount of time and human input.

list 1 of 3 China slams US claims of ‘industrial-scale’ AI theft

list 2 of 3 Anthropic claims Claude AI used for missile projects, global espionage

list 3 of 3 Anthropic warns of bids to use AI to build biological weapons

Supporters argue these tools could raise productivity and create new kinds of work.

However, their rapid development has also raised concerns about job losses, the spread of misinformation, and the resources needed to power AI infrastructure. Researchers have also warned that regulation and safeguards are struggling to keep pace with the technology.

“We must slow the pace at which we improve the capabilities of AI models,” Anthropic CEO Dario Amodei, whose company created AI tool Claude, said on Saturday. “Progress will still seem fast, and we must make wise use of the time we gain.”

So, what are the pros and cons of artificial intelligence, and where is this rapidly growing technology headed?

Boosts productivity and makes tasks easier

One of the obvious benefits of AI is its ability to help people complete some tasks more quickly.

AI tools are already being used for education, writing and editing text, gathering information, and computer programming.

Almost one billion people use AI for a wide range of tasks, according to the 2026 International AI Safety Report published by the United Kingdom’s government.

The report found that the most frequent queries by users on AI giant OpenAI’s ChatGPT platform involved practical guidance on editing or generating text, researching medical health, and searching for information.

There is also evidence of significant productivity gains in particular tasks. In September 2025, the Bank for International Settlements found generative AI had “productivity gains of between 10 and 65 percent, and efficiency gains of roughly 20 to 50 percent in time savings”.

Gains were particularly evident in industries such as “coding, consulting tasks and professional writing”, it added.

Indian technology company Wipro, for example, said its use of AI had freed up capacity equivalent to 20,000 employees, who were reassigned to other roles.

Creates new opportunities and skills

While AI is certainly bound to eliminate or transform some jobs, it is also spurring the creation of others.

Demand is increasing for skills that include machine-learning programming and chatbot development. Software developers are also increasingly using AI to produce code before checking and debugging the results.

The changes mean workers may increasingly need to learn how to use AI alongside traditional professional skills.

Wipro Chief Technology Officer Sandhya Arun said the company was training more than 100,000 employees in advanced AI skills as it shifts towards what it calls a “human-AI operating model”.

AI’s groundbreaking ability to automate work is also one of the biggest risks to society, experts say.

While no concrete data exists, some 60 percent of jobs in advanced economies and 40 percent in emerging economies could be vulnerable to AI, depending on how employers and workers adopt the technology, the 2026 International AI Safety Report warned.

Earlier this year, a slew of tech giants announced cuts amid growing reliance on and shifts towards AI.

Amazon slashed 16,000 jobs in a second wave of layoffs at the e-commerce giant in three months, while social media site Pinterest announced it would cut 780 jobs as the company reallocated resources amid increased investment in AI.

There are also concerns about people starting their careers.

Stephen Clare, lead writer of the 2026 International AI Safety Report, said there is “suggestive evidence” that early-career workers in occupations highly exposed to AI may be finding it harder to get jobs.

Can be misused and spread harmful content

Generative AI – which creates content based on existing data – can create convincing text, voices, images and videos, capabilities that can also be exploited.

AI-generated deepfakes have been used to scam people, and AI systems have also been used in cyberattacks.

Deepfake technology has been used to impersonate senior US officials and corporate executives.

Criminals can use synthetic voices and videos to make people reveal sensitive information, providing access to computer systems, and transferring money.

Uses significant energy and resources

AI technology depends on physical data centres filled with powerful computer chips, which require large amounts of electricity and cooling.

The expansion of data centres is raising questions about electricity supply and whether governments have enough infrastructure to support large AI projects.

For example, a proposed data centre in the US state of Utah would use more electricity than the entire state.

Beyond electricity, environmental activists in the United States are ringing the alarm over the enormous amounts of water needed to cool down servers at data centres at a time when parts of the country are experiencing droughts.

Some residents living near US data centres have also complained of the constant hum they emit. A Gallup poll conducted in March suggested that 71 percent of Americans oppose establishing AI data centres in their areas.

The concerns around data centres extend beyond just the US and the developed world.

In Kenya, a proposed $1bn data centre involving Microsoft and Emirati technology company G42 has drawn considerable attention.

Kenyan President William Ruto highlighted the scale of the centre’s energy demands, warning that the infrastructure of that size would require substantial additional power generation.

人工智能为编程和自动化创造了新的机遇，但专家警告说，有害内容的传播以及对职业生涯初期员工的风险不容忽视。

人工智能 (AI) 的支持者认为它可以提高生产力并创造新的工作类型，但其快速发展引发了人们对失业、虚假信息传播以及人工智能基础设施所需资源的担忧。[Dado Ruvic/Illustration/Reuters]

人工智能已迅速成为数亿人使用的工具，但科技领袖们对人工智能的快速发展发出警告，认为其对人类构成威胁。

人工智能系统现在可以生成文本和图像、编写计算机代码并执行复杂的分析，而这些分析以前需要大量的时间和人工投入。

列表 1/3：中国抨击美国关于“工业规模”人工智能窃取的说法

人类学声称克劳德人工智能被用于导弹项目和全球间谍活动（共3项，此列为第2项）

3/3 人类学研究所警告称，有人试图利用人工智能制造生物武器

支持者认为这些工具可以提高生产力并创造新的工作类型。

然而，人工智能的快速发展也引发​​了人们对失业、虚假信息传播以及支撑人工智能基础设施所需资源的担忧。研究人员还警告说，监管和保障措施难以跟上技术发展的步伐。

“我们必须放慢提升人工智能模型能力的步伐，”Anthropic公司首席执行官达里奥·阿莫迪（Dario Amodei）周六表示。该公司开发了人工智能工具Claude。“进步依然会很快，我们必须明智地利用赢得的时间。”

那么，人工智能的优点和缺点是什么？这项快速发展的技术将走向何方？

提高效率，简化任务。

人工智能最显而易见的优势之一是它能够帮助人们更快地完成某些任务。

人工智能工具已被用于教育、文本写作和编辑、信息收集和计算机编程等领域。

根据英国政府发布的《2026 年国际人工智能安全报告》，近 10 亿人使用人工智能完成各种任务。

报告发现，人工智能巨头 OpenAI 的 ChatGPT 平台上的用户最常查询的内容涉及编辑或生成文本的实用指导、医疗健康研究和信息搜索。

还有证据表明，在某些特定任务中，生产力显著提高。2025年9月，国际清算银行发现，生成式人工智能的“生产力提高了10%到65%，时间效率提高了约20%到50%”。

报告还指出，在“编程、咨询任务和专业写作”等行业，收益尤为明显。

例如，印度科技公司 Wipro 表示，人工智能的应用释放了相当于 2 万名员工的产能，这些员工被重新分配到其他岗位。

创造新的机遇和技能

人工智能虽然必然会淘汰或改变一些工作岗位，但它也在推动其他工作岗位的创造。

对机器学习编程和聊天机器人开发等技能的需求日益增长。软件开发人员也越来越多地使用人工智能来生成代码，然后再检查和调试结果。

这些变化意味着员工可能越来越需要学习如何将人工智能与传统专业技能结合起来使用。

Wipro 首席技术官 Sandhya Arun 表示，该公司正在培训超过 10 万名员工掌握先进的人工智能技能，以向其所谓的“人机协作运营模式”转型。

专家表示，人工智能在自动化工作方面具有突破性的能力，但同时也给社会带来了最大的风险之一。

2026 年国际人工智能安全报告警告说，虽然目前还没有确切的数据，但发达经济体中约 60% 的工作岗位和新兴经济体中约 40% 的工作岗位可能会受到人工智能的影响，这取决于雇主和员工如何采用这项技术。

今年早些时候，由于对人工智能的依赖性日益增强以及向人工智能的转型，多家科技巨头宣布裁员。

亚马逊在三个月内进行了第二轮裁员，削减了 16,000 个工作岗位；与此同时，社交媒体网站 Pinterest 宣布将裁员 780 人，原因是该公司在加大对人工智能的投资的同时重新分配了资源。

人们也对人们开始职业生涯感到担忧。

2026 年国际人工智能安全报告的主要撰稿人斯蒂芬·克莱尔表示，有“暗示性证据”表明，从事与人工智能密切相关的职业的早期职业工作者可能发现找工作越来越难。

可能被滥用并传播有害内容

生成式人工智能（根据现有数据创建内容）可以创建逼真的文本、语音、图像和视频，这些能力也可以被利用。

人工智能生成的深度伪造视频已被用于诈骗，人工智能系统也被用于网络攻击。

深度伪造技术已被用来冒充美国高级官员和企业高管。

犯罪分子可以利用合成语音和视频诱使人们泄露敏感信息，从而获取计算机系统的访问权限并转移资金。

消耗大量能源和资源

人工智能技术依赖于装满强大计算机芯片的物理数据中心，这需要大量的电力和冷却。

数据中心的扩张引发了人们对电力供应以及各国政府是否有足够的基础设施来支持大型人工智能项目的担忧。

例如，拟建于美国犹他州的数据中心耗电量将超过整个犹他州的用电量。

除了电力之外，美国环保人士还对数据中心服务器冷却需要大量用水发出警告，而与此同时，美国部分地区正遭受干旱。

一些居住在美国数据中心附近的居民也抱怨数据中心持续发出嗡嗡声。盖洛普3月份进行的一项民意调查显示，71%的美国人反对在他们所在地区建立人工智能数据中心。

人们对数据中心的担忧不仅限于美国和发达国家。

在肯尼亚，微软和阿联酋科技公司 G42 计划投资 10 亿美元兴建数据中心，这一提议引起了广泛关注。

肯尼亚总统威廉·鲁托强调了该中心能源需求的规模，并警告说，如此规模的基础设施将需要大量的额外发电。