What's Going On? Catching Up on How Swedish Companies in the Bay Area Develop and Implement AI Strategies
(2025) MIOM05 20251Department of Mechanical Engineering Sciences
Production Management
- Abstract
- The rapid advancements of Artificial Intelligence (AI) in recent years have reshaped markets globally, urging companies to keep up with the development to maintain competitiveness and capture first-mover advantages. Although AI adoption is increasing across sectors, it has been found that Swedish companies lag behind other countries, such as the US and China. A key challenge identified is the lack of formalized AI strategies that align with overall business goals and support effective AI implementation.
This thesis investigates how Swedish companies with a presence in the Bay Area, US, are developing and implementing their AI strategies, aiming to inspire broader AI adoption among Swedish companies. Using an exploratory, multi-case... (More) - The rapid advancements of Artificial Intelligence (AI) in recent years have reshaped markets globally, urging companies to keep up with the development to maintain competitiveness and capture first-mover advantages. Although AI adoption is increasing across sectors, it has been found that Swedish companies lag behind other countries, such as the US and China. A key challenge identified is the lack of formalized AI strategies that align with overall business goals and support effective AI implementation.
This thesis investigates how Swedish companies with a presence in the Bay Area, US, are developing and implementing their AI strategies, aiming to inspire broader AI adoption among Swedish companies. Using an exploratory, multi-case study approach, the research builds on interviews with ten companies across various industries and sizes, supplemented with secondary data from annual reports and websites.
Findings indicate that the interviewed companies are in the early stages of forming AI strategies. While AI is used in daily operations, many firms remain in an experimental phase, awaiting measurable efficiency gains or financial returns before scaling up adoption. Larger firms often have formal innovation departments and structured technology scouting processes, whereas smaller companies rely more on professional networks, industry events, and academic insights. Companies offering AI-based products typically develop most of their AI initiatives in-house, while others engage in partnerships, hire consultants, and license-in external AI tools, among other methods. The technology’s fast speed of innovation is challenging for many companies, making long-term planning difficult. Limited data of high quality, high development costs, and internal skill gaps are other challenges mentioned. All interviewed companies have integrated AI into their business model, most notably included in their key activities or as a part of their value propositions. Interestingly, none entered the Bay Area specifically to build or access the local AI capabilities, but their presence has helped them strengthen their internal AI knowledge due to the region’s rapid technological growth. Companies also benefit from expanded professional networks, participation in industry events, and collaborative partnerships fostered in the Bay Area. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9193347
- author
- Hansson, Felicia LU and Wolf, Minna LU
- supervisor
- organization
- course
- MIOM05 20251
- year
- 2025
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Artificial Intelligence, AI Strategy, Bay Area, US, Sweden, Technology Strategy, Business Model, Cluster
- other publication id
- 25/5306
- language
- English
- id
- 9193347
- date added to LUP
- 2025-06-17 16:35:19
- date last changed
- 2025-06-17 16:35:19
@misc{9193347,
abstract = {{The rapid advancements of Artificial Intelligence (AI) in recent years have reshaped markets globally, urging companies to keep up with the development to maintain competitiveness and capture first-mover advantages. Although AI adoption is increasing across sectors, it has been found that Swedish companies lag behind other countries, such as the US and China. A key challenge identified is the lack of formalized AI strategies that align with overall business goals and support effective AI implementation.
This thesis investigates how Swedish companies with a presence in the Bay Area, US, are developing and implementing their AI strategies, aiming to inspire broader AI adoption among Swedish companies. Using an exploratory, multi-case study approach, the research builds on interviews with ten companies across various industries and sizes, supplemented with secondary data from annual reports and websites.
Findings indicate that the interviewed companies are in the early stages of forming AI strategies. While AI is used in daily operations, many firms remain in an experimental phase, awaiting measurable efficiency gains or financial returns before scaling up adoption. Larger firms often have formal innovation departments and structured technology scouting processes, whereas smaller companies rely more on professional networks, industry events, and academic insights. Companies offering AI-based products typically develop most of their AI initiatives in-house, while others engage in partnerships, hire consultants, and license-in external AI tools, among other methods. The technology’s fast speed of innovation is challenging for many companies, making long-term planning difficult. Limited data of high quality, high development costs, and internal skill gaps are other challenges mentioned. All interviewed companies have integrated AI into their business model, most notably included in their key activities or as a part of their value propositions. Interestingly, none entered the Bay Area specifically to build or access the local AI capabilities, but their presence has helped them strengthen their internal AI knowledge due to the region’s rapid technological growth. Companies also benefit from expanded professional networks, participation in industry events, and collaborative partnerships fostered in the Bay Area.}},
author = {{Hansson, Felicia and Wolf, Minna}},
language = {{eng}},
note = {{Student Paper}},
title = {{What's Going On? Catching Up on How Swedish Companies in the Bay Area Develop and Implement AI Strategies}},
year = {{2025}},
}