Artificial Intelligence in Investment Banking: Automating Deal Structuring, Market Intelligence, and Client’s Insights Through Machine Learning
Keywords:
AI and ML; Investment Banking; Market Intelligence; Financial Technology; Digital TransformationAbstract
This study examines how artificial intelligence transforms investment banking operations through deal structuring automation, market intelligence generation, and client insight development. Using the Technology-Organization-Environment framework and Resource Based View, we investigate AI’s impact on operational efficiency, decision-making accuracy, and competitive advantage. Through mixed-methods analysis of 47 investment banks (2019-2022) and interviews with 32 senior executives, we find that AI reduces transaction time by 34%, improves valuation accuracy by 23%, and enhances client satisfaction by 41%. However, implementation faces barriers including data quality issues (73% of respondents), regulatory compliance concerns (68%), and talent challenges (61%). We identify three AI maturity archetypes pioneers (21%), followers (52%), and laggards (27%) each with distinct strategies and outcomes. This research contributes empirical evidence of AI’s impact on investment banking and offers practical insights for digital transformation
Downloads
Published
Issue
Section
Most read articles by the same author(s)
- Adebayo Adegbenro, Arinze Madueke, Aniedi Ojo, Cynthia Alabi, AI-Driven Wealth Advisory: Machine Learning Models for Personalized Investment Portfolios and Risk Optimization , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
Similar Articles
- Iroegbu, Chibuisi, Enefiok Etuk, Charles Efe Osodeke, Electromagnetic Field(Emf) Exposure in 5g Utilizations , Communication In Physical Sciences: Vol. 12 No. 5 (2025): Vol 12 ISSUE 5
- Elizabeth Chinyere Nwakorongwu, Patricia Uchechi. Kanayochi-Okpechi, Ugochukwu Joseph, Effects of Annealing Temperature on the Dual Solution Synthesis and Optical Characterization of AlS: ZnS Thin Films , Communication In Physical Sciences: Vol. 11 No. 1 (2024): VOLUME 11 ISSUE 1
- Kantoma, Dogara , Nwokem, Calvin Onyedika, Zakka Israila Yashim, Zaharaddeen Nasiru Garba, Green Synthesis of Silver Nanoparticles(AgNPs) using Calotropis procera Leaves Extract and it Adsorption Properties for the Removal of Cr3+ from Petroleum Waste Water , Communication In Physical Sciences: Vol. 10 No. 3 (2023): VOLUME 10 ISSUE 3 (2023-2024)
- R. Nasir, PHYTOCHEMICAL ANALYSIS AND ANTIMICROBIAL ACTIVITY OF LEAVE EXTRACT OF Amaranthus spinosus , Communication In Physical Sciences: Vol. 5 No. 1 (2020): VOLUME 5 ISSUE 1
- Chidi P Njoku, Raina A. Ekpewu-Ovie , Isaac O Odiba, Maduabuchi J. Nwosu, Chintua E. Igara, Isolation and Structure Elucidation of Buchholzcine A, a Novel Steroidal Cyanoformamide from the Stem Bark of Buchholzia coriacae Engler (Capparaceae) , Communication In Physical Sciences: Vol. 12 No. 4 (2025): VOLUME1 2 ISSUE 4
- Nsikak Bassey Essien, Chukwu Obaji Daniel, Raphael Mmenyene Paul, Synthesis and characterization of Silicon Oxide Nanoparticles using Plantain Peel as a Precursor , Communication In Physical Sciences: Vol. 11 No. 1 (2024): VOLUME 11 ISSUE 1
- Benjamin Odey Omang, Andrew Kalu Njoku, Temple Okah Arikpo, Godwin Terwase Kave, Geochemistry of the Ironstones in Abiati Area, Southeastern Nigeria: Implications for Ore Genesis and Economic Potential , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
- Usman Umar Modibbo, John Stanley, Martins Moses, Victoria John Danjuma, Nutritional and Chemical Characterization of Avocado Oil from Three Cultivars in Mambila Plateau, Taraba State, Nigeria , Communication In Physical Sciences: Vol. 12 No. 6 (2025): Volume 12 ISSUE 6
- Humphrey Sam Samuel , Emmanuel Edet Etim, John Paul Shinggu, Bulus Bako, Machine Learning in Thermochemistry: Unleashing Predictive Modelling for Enhanced Understanding of Chemical Systems , Communication In Physical Sciences: Vol. 11 No. 1 (2024): VOLUME 11 ISSUE 1
- Izuagbe Gilbert Osigbemhe, Essential Oil Composition and Anti-Microbial Activity of Zyzgium aromaticum (l) merril and Percy [fam. Myrtaceae] Using Hydro-Distillation and Solvent Extraction Methods , Communication In Physical Sciences: Vol. 12 No. 4 (2025): VOLUME1 2 ISSUE 4
You may also start an advanced similarity search for this article.



