Challenges Across the AI Journey: From Startups to Global Enterprises

Rajnish Harjika

Chapter Chapter 3 in Architecting Enterprise AI Strategies, 2026, pp 65-99 from Springer

Abstract: AbstractAchieving AI maturity is never a uniform path. Its shape shifts depending on the size of the organization, the pace at which it moves, and the weight of its existing structures. Startups approach the journey with restless energy, eager to prove themselves through experiments that feel like wagers on the future. Small and mid-sized businesses lean toward pragmatism, sensing the pull of innovation but living each day under the constraints of budgets, limited expertise, and time. Large enterprises face a different kind of challenge: their hierarchies, processes, and legacy systems provide stability but often resist rapid adaptation. Fragmentation across departments can slow progress even further. In all these contexts, one question persists: How does an organization move from fragile pilots to capabilities that endure?

Date: 2026
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:979-8-8688-2219-3_3

Ordering information: This item can be ordered from
http://www.springer.com/9798868822193

DOI: 10.1007/979-8-8688-2219-3_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 ().