The rapid advancements in artificial intelligence (AI) have redefined how we perceive intelligence and wisdom in the modern world. Traditionally, intelligence has been associated with access to information, while wisdom has been linked to the application of that knowledge. However, with the emergence of AI, a third category of intellectual importance has arisen: the ability to ask the right questions. In this ever-evolving landscape, AI can significantly enhance a person’s capabilities, making them more resourceful and efficient (Brown & Greenfield, 2021).

AI has the potential to increase human capabilities across various sectors, spanning from the ones we have already discussed in our verticals. In government, AI can assist policymakers in analyzing complex data sets and making informed decisions to improve public services (Mergel, 2019). In cybersecurity, AI can enhance threat detection and response times, keeping systems and networks more secure (Buczak & Guven, 2016). In global markets, AI-powered financial analysis and prediction tools can help investors make more informed decisions, leading to economic growth (Makridakis, 2017).

In publishing, AI can revolutionize the creative process by providing artists, designers, and writers with innovative tools to generate novel ideas and produce cutting-edge works (Colton, 2012). In the legal sector, AI can assist with contract analysis, research, and case predictions, ultimately improving the efficiency and accuracy of legal services (Katz, 2017). In healthcare, AI can aid in diagnostics, personalized treatment plans, and drug development, potentially saving lives and improving patient outcomes (Esteva et al., 2017). Finally, in education, AI can empower personalized learning experiences and adaptive tutoring systems, which cater to individual students’ needs and enhance educational outcomes (Graesser, Hu, & Sottilare, 2018). AI technology has the potential to transform various fields and unlock new capabilities that expand human potential in unprecedented ways.

On the other hand, AI can also empower individuals with malicious intent, enabling them to carry out harmful objectives more efficiently (Chesney & Citron, 2019). For example, AI-powered deepfake technology can be used to create convincing disinformation campaigns, manipulating public opinion and disrupting political processes (Brundage et al., 2018). AI-driven hacking tools can lead to more sophisticated cyberattacks, compromising sensitive data and critical infrastructure (Roff & Moyes, 2019). Furthermore, AI algorithms can be utilized to automate the creation and distribution of online hate speech, amplifying its harmful effects on individuals and society (Finkelstein, Polack, & Zheng, 2020).

However, the benefits of AI-enhanced capabilities come with potential downsides. When AI falls into the wrong hands, it can enable individuals with malicious intent to become more efficient and effective in carrying out their harmful objectives. Another potential issue arises from the increasing reliance on AI for decision-making. As people become more dependent on AI-generated insights, they might lose the ability to think critically and independently, potentially leading to a decline in human cognitive abilities (Carr, 2010).

To mitigate these risks, it is crucial to establish ethical guidelines and regulatory frameworks for the development and deployment of AI technologies (Russell et al., 2015). Ensuring transparency, accountability, and fairness in AI systems will be essential to maximizing their benefits while minimizing potential harm (Floridi et al., 2018).

In conclusion, AI has the potential to significantly expand human capabilities by providing access to information, tools for analysis, and guidance in asking the right questions. However, the potential downsides of AI, such as malicious use and overreliance, must be carefully considered and addressed through ethical guidelines and regulations. As we continue to integrate AI into our daily lives, finding the right balance between harnessing its potential and mitigating its risks will be critical for the future of human intellectual development.


Buczak, A. L., & Guven, E. (2016). A survey of data mining and machine learning methods for cybersecurity intrusion detection. IEEE Communications Surveys & Tutorials, 18(2), 1153-1176.

Colton, S. (2012). The Painting Fool: Stories from building an automated painter. In McCormack, J., & d’Inverno, M. (Eds.), Computers and creativity (pp. 3-38). Springer.

Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118.

Graesser, A. C., Hu, X., & Sottilare, R. A. (2018). Intelligent tutoring systems. In F. M. Nafria & J. M. Torrego (Eds.), Encyclopedia of educational innovation. Springer.

Katz, D. M. (2017). Quantitative legal prediction – or – how I learned to stop worrying and start preparing for the data-driven future of the legal services industry. Emory Law Journal, 62(4), 909-966.

Makridakis, S. (2017). The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Futures, 90, 46-60.

Mergel, I. (2019). Artificial intelligence in the public sector: An exploratory analysis of the policy and organizational issues of smart systems integration in the U.S. federal government. AI & Society, 34(4), 957-968.

Brown, E., & Greenfield, P. M. (2021). The evolving role of intelligence in an AI-driven world. Trends in Cognitive Sciences, 25(7), 562-572.

Brundage, M., Avin, S., Clark, J., Toner, H., Eckersley, P., Garfinkel, B., … & Anderson, H. (2018). The malicious use of artificial intelligence: Forecasting, prevention, and mitigation. arXiv preprint arXiv:1802.07228.

Carr, N. (2010). The Shallows