A Future with Artificial Intelligence: Strategy for Success

Nidjad Asadli ()
Additional contact information
Nidjad Asadli: Center for Analysis of Economic Reforms and Communication

Chapter Chapter 3 in Technology and Business Strategy, 2021, pp 39-49 from Springer

Abstract: Abstract The introduction of artificial intelligence allows the most successful companies in the world to advance the thesis on the predominant role of digital solutions in the achievements of leading companies. Based on the assertion of many experts about the growing gap between digital and non-digital businesses, a hypothesis emerges: to use artificial intelligence (first of all, the “weak” form), it is necessary to introduce it at the strategic level of management. This hypothesis is very useful for finding the answer to the question of what type of strategy is most applicable for the commercialization of digital products. It is shown that a generalized vision of three strategies (growth, cost reduction, and blue ocean) allows a comparative analysis of the possibility of strategizing digital solutions, which includes artificial intelligence. It is noted that pilot projects risk making the attracted investments irrevocable if their scaling is not provided at the strategic level. Finally, recommendations on the choice of strategies for different areas of digitalization, combined with artificial intelligence, are given.

Keywords: Artificial intelligence; Digitalization; Technology programs; Business; Pilot projects; Scaling of pilot projects; Strategic opportunities; Business strategies; Growth strategy; Cost reduction strategy; “Blue ocean” strategy; O14 (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-63974-7_3

Ordering information: This item can be ordered from
http://www.springer.com/9783030639747

DOI: 10.1007/978-3-030-63974-7_3

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().