General AI

The Fundamental and Disruptive Changes AI Will Bring

I.     Introduction

Artificial intelligence has arrived, and it’s changing society in big ways, from how we live our lives to how businesses get things done. We see AI popping up everywhere, making things more efficient and boosting productivity. But, like any big change, it comes with its own set of problems. The research we’ve been reading points to some good stuff—like better living standards and companies saving money on labor. But, we also have to think about the downsides, such as people losing their jobs and some serious ethical questions (Galina F Golubeva et al.). Now, when we look at the money side of things, AI is doing more than just shaking up a few industries. It’s changing the whole job market and forcing companies to rethink how they do business and stay competitive (НАТАЛЬСОН А.В. НАТАЛЬСОН А.В. et al.). It’s really important to get a handle on all of this if we want to deal with the good and the bad that AI brings. It will help us make smart choices and plan ahead in a world that’s becoming more and more automated.

A.   Overview of AI technology and its rapid evolution

Artificial intelligence, or AI, has changed so much recently, leading to big changes in our society and how businesses work. At first, AI was just simple computer programs, but now it includes complex systems that can learn, think, and solve problems. This has really helped improve operations in many different fields. AI is now used in making decisions, and it’s gone from being just a helpful tool to actually making choices on its own. This is changing what people do in companies. It’s not only affecting how things are done, but also big decisions, with AI influencing what happens in the market and how businesses connect with customers. This is changing how value is created. Companies need to change to keep up with these advancements, especially in using big data to gain useful insights and stay ahead of the competition. A lot of research is being done on how AI impacts different areas, showing that we need to truly understand its effects and possibilities (Angelopoulos S et al., p. 876-889)(Yogesh K Dwivedi et al., p. 122579-122579).

II.  The Impact of AI on Employment and Workforce Dynamics

The rise of artificial intelligence is really changing how we work, creating both good things and tough situations. As companies use AI more and more, what they need from workers is changing a lot. People who know about AI can earn a lot more money – studies show they might get about 21% more because their skills fit well with AI (Stephany F et al., p. 104898-104898). But, there’s a worry that people who don’t get training in new tech could lose their jobs. Plus, using AI to make new content is tricky. In areas like healthcare and marketing, AI could help things run smoother, but it also means some old jobs might not be needed anymore (Keng‐Ooi B et al., p. 1-32). Because of all this, it’s super important to make sure everyone has a chance to learn and do well, even as tech keeps getting better. Generally speaking, these disparities need to be addressed to foster an inclusive environment.

A.   Job displacement vs. job creation: Analyzing the dual effects of AI on employment

The rise of artificial intelligence presents us with a tricky situation: jobs vanish even as new ones appear, changing the job market in big ways. Think about tools like ChatGPT—as they get better, they can do two things at once. They can take over routine work, sure, but they also open up new jobs in different fields. Studies, for instance, suggest that ChatGPT could completely change around 32.8% of jobs, maybe leading to some job losses, but new jobs could also pop up in areas that use AI breakthroughs (Zarifhonarvar A, p. 100-116). AI, like the GPT models, does more than just boost how much we can get done; it also helps create jobs where we need people to keep an eye on things and come up with new ideas (Yenduri G et al., p. 54608-54649). So, we’ve got to figure out how to handle this balancing act, making sure the workforce has a fair shot as AI changes things, as it inevitably will. And this requires careful consideration of how we integrate these advanced systems.

III. AI’s Role in Transforming Business Operations and Strategies

The business world is changing fast, and artificial intelligence (AI) is becoming a key part of new strategies, especially in Industry 5.0. Generative AI can help businesses improve how they make things, making them more sustainable and able to handle problems, all while meeting consumer expectations for ethical behavior. Recent studies point out that generative AI has ten unique capabilities that provide valuable data insights for production, which helps achieve the sustainability goals of Industry 5.0 (Ghobakhloo M et al., p. 94-121). This combination improves operations and gives companies a competitive advantage because they can systematically incorporate these AI functions to get the most out of them. However, a lot of the discussion about Industry 5.0 technologies is still theoretical, which means we need more real-world examples of how they work (Ghobakhloo M et al.). So, while AI has a lot to offer, getting the full benefits requires a systematic approach and a good understanding of how technology and business strategy work together.

A. Automation and efficiency: How AI is reshaping business processes and decision-making

The infusion of artificial intelligence, or AI, into how businesses operate signals a new period of significant automation and efficiency gains, impacting the very core of how decisions are made. As more and more organizations embrace AI tech, they stand to gain from beefed-up data handling, which leads to faster, better decisions. Think about it: AI can take over those dull, repetitive tasks, freeing up people to tackle the strategic stuff that needs a human touch – like creativity and deep thinking. What’s more, generative AI’s arrival—with the potential to be as game-changing as “the printing press,” offers a big shift in operations and how we engage with everyone involved (Budhwar P et al., p. 606-659). Of course, while the promise of greater efficiency is real, we also run into tricky issues like ethical questions and worries about privacy. So, we need to tread carefully when putting these technologies in place (Kamalov F et al., p. 12451-12451). In the end, combining AI and business not only boosts how much we get done, but it also changes job roles and relationships at work, forcing us to rethink how we’ve always done things.

IV. Conclusion

To sum it up, artificial intelligence—or AI—has some serious potential to change things, but it’s a real mixed bag for our communities, companies, and even the whole economy. AI tech keeps getting better and better, which means some amazing new efficiencies and inventions could be just around the corner. At the same time, though, it could make some of our current problems with fairness and environmental responsibility even worse. Industry 5.0 is a prime example, really showing why everyone needs to get involved to make sure AI helps us create sustainable habits in all sorts of industries (Ghobakhloo M et al.). Plus, the way generative AI is taking off has some pretty big consequences for different academic areas, like accounting, meaning teachers need to rethink how they teach and start focusing more on people (Ballantine J et al., p. 102711-102711). All this points to the fact that politicians and business bigwigs need to get ahead of the game and figure out how to bring AI into the mix in a way that’s inclusive and strong. That’s what will shape a future where tech helps everyone, not just the bottom line.

A.   The future landscape: Balancing the benefits and challenges of AI in society and the economy

The transformative influence of artificial intelligence (AI) on society means finding equilibrium between its upsides and potential downsides is now more critical than ever. Integrating digital tech swiftly into how things work offers better efficiency, sure, but also risks like people losing jobs and questions about what’s morally right. It’s not enough to just use these technologies; organizations, generally speaking, should be thinking about a full digital transformation (DT) that changes how they do things and creates fresh business ideas (Angelopoulos S et al., p. 876-889). Organizations are invited to consider what this means for society—think equal access to tech and maybe more surveillance when consumers interact with the metaverse. This brings up marketing possibilities, but also worries about privacy (Yogesh K Dwivedi et al., p. 750-776). Therefore, as AI keeps making its way into different parts of life, it is essential to take a careful and inclusive approach, that will help capitalize on its benefits while reducing its inherent risks both in the economy and socially.
At Kadak Group we’re working hard to prepare for the uncertain future ahead of us and so should you.

Uzay Kadak
September 22, 2025

References

  • Morteza Ghobakhloo, Masood Fathi, Mohammad Iranmanesh, Mantas Vilkas, Andrius Grybauskas, Azlan Amran. “Generative artificial intelligence in manufacturing: opportunities for actualizing Industry 5.0 sustainability goals” Journal of Manufacturing Technology Management, 2024, 94-121. doi: https://doi.org/10.1108/jmtm-12-2023-0530
  • Morteza Ghobakhloo, Mohammad Iranmanesh, Masood Fathi, Abderahman Rejeb, Behzad Foroughi, Davoud Nikbin. “Beyond Industry 4.0: a systematic review of Industry 5.0 technologies and implications for social, environmental and economic sustainability” Asia-Pacific Journal of Business Administration, 2024, doi: https://doi.org/10.1108/apjba-08-2023-0384
  • Gokul Yenduri, M. Ramalingam, G. Chemmalar Selvi, Y. Supriya, Gautam Srivastava, Praveen Kumar Reddy Maddikunta, G. Deepti Raj, et al.. “GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions” IEEE Access, 2024, 54608-54649. doi: https://doi.org/10.1109/access.2024.3389497
  • Ali Zarifhonarvar. “Economics of ChatGPT: a labor market view on the occupational impact of artificial intelligence” Journal of Electronic Business & Digital Economics, 2023, 100-116. doi: https://doi.org/10.1108/jebde-10-2023-0021
  • Firuz Kamalov, David Santandreu Calonge, Ikhlaas Gurrib. “New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution” Sustainability, 2023, 12451-12451. doi: https://doi.org/10.3390/su151612451
  • Pawan Budhwar, Soumyadeb Chowdhury, Geoffrey Wood, Herman Aguinis, Greg J. Bamber, Jose R. Beltran, Paul Boselie, et al.. “Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT” Human Resource Management Journal, 2023, 606-659. doi: https://doi.org/10.1111/1748-8583.12524
  • Fabian Stephany, Ole Teutloff. “What is the price of a skill? The value of complementarity” Research Policy, 2023, 104898-104898. doi: https://doi.org/10.1016/j.respol.2023.104898
  • Keng‐Boon Ooi, Garry Wei‐Han Tan, Mostafa Al‐Emran, Mohammed A. Al‐Sharafi, Alexandru Căpățînă, Amrita Chakraborty, Yogesh K. Dwivedi, et al.. “The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions” Journal of Computer Information Systems, 2023, 1-32. doi: https://doi.org/10.1080/08874417.2023.2261010
  • Spyros Angelopoulos, Elliot Bendoly, Jan C. Fransoo, Kai Hoberg, Carol Xiaojuan Ou, Antti Tenhiälä. “Digital transformation in operations management: Fundamental change through agency reversal” Journal of Operations Management, 2023, 876-889. doi: https://doi.org/10.1002/joom.1271
  • Yogesh K. Dwivedi, Anuj Sharma, Nripendra P. Rana, Mihalis Giannakis, Pooja Goel, Vincent Dutot. “Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions” Technological Forecasting and Social Change, 2023, 122579-122579. doi: https://doi.org/10.1016/j.techfore.2023.122579
  • Galina F. Golubeva, Emil K. Agadzhanyan. “DEVELOPMENT OF ARTIFICIAL INTELLIGENCE AND ITS IMPACT ON THE ECONOMY AND SOCIETY IN THE RUSSIAN FEDERATION” EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA, 2025, doi: https://www.semanticscholar.org/paper/9b7ab2147bf0f2e8db2c9ab73a1cfa11c4b10e77
  • НАТАЛЬСОН А.В. НАТАЛЬСОН А.В., ХАБИБРАХМАНОВА А.И. ХАБИБРАХМАНОВА А.И.. “IMPACT OF ARTIFICIAL INTELLIGENCE ON THE ECONOMY: CURRENT REALITIES AND DEVELOPMENT PROSPECTS” Экономика и предпринимательство, 2024, doi: https://www.semanticscholar.org/paper/a17cf30da96aaefa5a0f0d43bf8e97ead037846d
  • Spyros Angelopoulos, Elliot Bendoly, Jan C. Fransoo, Kai Hoberg, Carol Xiaojuan Ou, Antti Tenhiälä. “Digital transformation in operations management: Fundamental change through agency reversal” Journal of Operations Management, 2023, 876-889. doi: https://doi.org/10.1002/joom.1271
  • Yogesh K. Dwivedi, Laurie Hughes, Yichuan Wang, Ali Abdallah Alalwan, Sun Joo Ahn, Janarthanan Balakrishnan, Sergio Barta, et al.. “Metaverse marketing: How the metaverse will shape the future of consumer research and practice” Psychology and Marketing, 2022, 750-776. doi: https://doi.org/10.1002/mar.21767
  • Morteza Ghobakhloo, Mohammad Iranmanesh, Masood Fathi, Abderahman Rejeb, Behzad Foroughi, Davoud Nikbin. “Beyond Industry 4.0: a systematic review of Industry 5.0 technologies and implications for social, environmental and economic sustainability” Asia-Pacific Journal of Business Administration, 2024, doi: https://doi.org/10.1108/apjba-08-2023-0384
  • Joan Ballantine, Gordon Boyce, Greg Stoner. “A critical review of AI in accounting education: Threat and opportunity” Critical Perspectives on Accounting, 2024, 102711-102711. doi: https://doi.org/10.1016/j.cpa.2024.102711