Applications of artificial intelligence across core business verticals

Artificial Intelligence is rapidly transforming finance, marketing, sustainability, IT, and accounting, reshaping business education and workforce demands.

Artificial intelligence is accelerating its influence across all major business sectors, a shift that is redefining everything from daily workflows to strategic decision-making. The integration of generative artificial intelligence in organizations is streamlining processes, supporting analysts in data interpretation, and aiding managers with tactical decisions. The technology´s swift adoption outpaces that of previous digital revolutions, such as the internet and smartphones, with both industry giants and late adopters quickly leveraging artificial intelligence for competitive advantage.

In finance, artificial intelligence is providing more robust platforms for high-volume, high-quality data analysis, enabling faster, more accurate risk assessment and decision-making. Experts highlight the technology’s role in improving independent-minded decisions and risk-adjusted returns, evidenced by a 2024 KPMG report showing near-universal uptake and positive return on investment among financial firms. The marketing field is experiencing profound changes too—generative artificial intelligence makes brand creation and promotional campaigns more accessible even to startups with limited resources. However, business leaders are cautioned to guide teams carefully, as the irreplaceable value of human oversight remains crucial in an era of workforce uncertainty.

Accounting professionals are also seeing their roles transform, with artificial intelligence expediting complex regulatory research, contract reviews, and data restructuring, raising standards throughout the profession. In sustainability, artificial intelligence’s increasing appetite for energy is balanced against its potential to optimize resource use and minimize waste. Management experts stress that the key issues are not simply whether artificial intelligence will help or harm, but how its impacts will vary across sectors and stakeholders.

Information technology and analytics continue to lead artificial intelligence adoption, serving as a backbone of innovation for organizations. While some expect artificial intelligence to displace human analysts, experts emphasize the enduring necessity of human expertise for navigating data ethics, ambiguity, and strategic problem-solving. Business schools like Kogod are responding to these shifts by embedding artificial intelligence across their curricula, developing graduates who blend technical proficiency with interpersonal and leadership skills needed to thrive in a transformed business landscape.

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