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The stocks most vulnerable to AI disruption … according to AI
Feb 13, 2025
AI disruption index: Primer analyses and ranks 2,000 stocks
As part of our demo series, we publish the most interesting use cases of the Primer platform we’ve seen by users. To kick off, we jump right in at the deep end: Which companies does our financial analyst AI, Primer, think are most threatened… by AI?
Taking a panel of experts’ view on the likely timeline of AI progress over the next 3 years [1], we ask Primer to analyse each company for business model risks, using its deep knowledge of company reporting history. A step-by-step methodology is given at the end of the report.
For the complete list of 2,000 companies ranked on AI disruption likelihood, get in touch at hello@primerapp.com.
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Looking across our list, here's what jumped out: professional services firms dominate this ranking. From IT giants like Cognizant and Accenture to customer service leader Teleperformance and analytics platform RELX - these companies have built empires on work that AI increasingly excels at.
The financial sector is particularly interesting, being potentially vulnerable not just in operations but also in high-value advisory work. Meanwhile, marketing giants like WPP and Havas face pressure as AI excels at content creation while enabling brands to bring marketing in-house. Notably, traditional manufacturers like Continental and Forvia also made our list, showing AI's impact could extend well beyond digital services.
Primer’s Top 20: AI Disruption
1.
Bolloré (inc. now spun-off units) - Score: 8.5 | Market cap: $16Bn | Location: France
65% of the business potentially affected - Communications (65%)
French conglomerate with major media/entertainment assets through Vivendi, plus logistics, oil distribution and battery tech divisions. Key player in European pay-TV and advertising.
Primer Finds
AI-powered content generation threatens Vivendi's media businesses - automated scriptwriting, editing and translation could slash production costs and enable new competitors in TV/film production and gaming
Havas advertising faces margin pressure as AI democratizes high-end creative services, while automated media buying and campaign optimization reduce barriers to entry
UMG stake (via Vivendi) could see markdowns if the music publishing sector sees revenue pressure via AI-generated artists and/or an uptake personalised music services that undermine the scarcity of existing digital music sales
2.
Teleperformance - Score: 8.2 | Market cap: $5Bn | Location: France
70% of the business potentially affected - Customer Experience Management (CXM) Services (70%)
Global provider of outsourced customer experience management services, operating in 80+ countries and offering multilingual support through contact centers and digital solutions.
Primer Finds
Advanced LLMs and AI chatbots could automate 50-70% of Teleperformance's core customer support interactions within 3-5 years, dramatically reducing need for human agents
Direct API-based customer service solutions from OpenAI/Anthropic could let clients bypass Teleperformance entirely, while forcing dramatic price reductions for remaining services
3.
Ad Agencies sector - Score: 8.2 | Market cap: $2Tn | Location: Global
Global advertising agencies (Omnicom Group, WPP, and Interpublic) create marketing campaigns and manage media buying for large corporations through networks of specialized creative and strategic agencies.
Primer Finds
AI tools (GPT, DALL-E) can automate core creative work like copywriting and visuals, potentially commoditizing high-margin services that are 70%+ of revenue for WPP, IPG and Omnicom
Media planning/buying (especially big for WPP's GroupM) could be automated by AI platforms, while tech companies might offer direct-to-client solutions
4.
Cognizant Technology Solutions - Score: 8.2 | Market cap: $39Bn | Location: US
75% of the business potentially affected - Business Process Services (25%), Application Development and Maintenance Services (50%)
Global IT services provider specializing in custom software development and business process outsourcing, helping enterprises adopt digital technologies and streamline operations.
Primer Finds
Cognizant's BPS segment faces severe threat as LLMs combined with RPA could automate vast portions of finance, accounting and customer service operations, undermining their labor arbitrage model
Their application development services are vulnerable to AI code generators like GPT-4 and GitHub Copilot, which could reduce need for large dev teams and enable smaller, AI-first competitors to outmaneuver them
5.
Sofina - Score: 8.2 | Market cap: $8Bn | Location: Belgium
50% of the business potentially affected - Digital Transformation (30%), Education (20%)
Belgian investment firm backing growth companies globally across digital, consumer, healthcare and education sectors, providing both capital and strategic support to scale operations.
Primer Finds
Digital transformation portfolio faces dual threat - AI could make current software/consulting offerings obsolete while enabling new competitors with lower-cost automated solutions, forcing rapid business model pivots
Education investments like Byju's risk disruption as AI tutors and automated content generation could dramatically reduce costs of delivering quality education, pressuring traditional edtech revenue models
6.
Pearson - Score: 8.1 | Market cap: $10Bn | Location: United Kingdom
60% of the business potentially affected - Higher Education (20%), English Language Learning (15%), Virtual Learning (25%)
Global education company providing learning materials, assessments and virtual programs. Serves students, institutions and corporations through textbooks, English learning, online courses and certification.
Primer Finds
Virtual Learning faces threat as sophisticated AI tutors and automated course creation allow universities to build in-house capabilities cheaper, while enabling new edtech competitors to enter with lower overhead
7.
Continental - Score: 8.0 | Market cap: $14Bn | Location: Germany
40% of the business potentially affected - Automotive Technologies (40%)
German automotive supplier specializing in tires, automotive technologies, and rubber solutions. Key player in vehicle safety, automation and connectivity systems for global automakers.
Primer Finds
Continental's Automotive Technologies faces existential threat as vehicles become software-defined - tech giants and AI startups could bypass traditional tier-1 suppliers with integrated AI solutions for autonomous driving and ADAS
Company's hardware-centric business model risks obsolescence as value shifts to AI/software. Must transform rapidly while managing margin pressure from commoditized automotive AI capabilities
8.
Baltic Classifieds Group - Score: 8.0 | Market cap: $2Bn | Location: UK
35% of the business potentially affected - Job Classifieds (15%), General Classifieds (20%)
Leading online classifieds operator in Baltics running platforms for real estate, auto, jobs and general merchandise. Revenue from listing fees and premium services across Lithuania, Latvia and Estonia.
Primer Finds
AI recruitment tools could bypass BCG's job boards by automating candidate matching and screening, while global platforms like LinkedIn could leverage their data and AI capabilities to offer superior hiring solutions at lower costs
General classifieds face threat from AI-powered marketplaces (potentially run by big tech) that offer automated listing creation, smart matching, and fraud detection - potentially at lower costs than BCG's current fee structure
9.
Forvia - Score: 7.9 | Market cap: $2Bn | Location: France
30% of the business potentially affected - Clean Mobility (20%), Electronics (10%)
Global automotive supplier formed from Faurecia and Hella merger, specializing in seating, interiors, clean mobility, electronics and lighting for major automakers.
Primer Finds
AI is accelerating EV and battery tech development, threatening Forvia's traditional emissions control business. While they have some hydrogen/thermal management capabilities, they need to rapidly pivot R&D to stay relevant
In electronics, Forvia faces pressure from tech giants and startups as vehicles become more software-defined. Their traditional hardware expertise may be less valuable as AI-powered computing platforms consolidate vehicle electronics
10.
Electrical Equipment sector - Score: 7.9 | Market cap: $2Tn | Location: Global
Manufacturers of electrical equipment and automation systems for buildings and industry (Legrand, ABB, Rockwell), spanning wiring, robotics, control systems and industrial automation solutions.
Primer Finds
AI-powered design/manufacturing could commoditize core hardware products across players (esp. Legrand's wiring, ABB's motion), enabling low-cost competitors to rapidly develop alternatives
Value shifting from hardware to software - traditional control systems threatened by AI-native competitors offering more automated, self-learning solutions (critical for Rockwell's Software segment)
11.
SPIE - Score: 7.9 | Market cap: $6Bn | Location: France
50% of the business potentially affected - Information and Communications Technology (ICT) Services (20%), Technical Facility Management (30%)
European provider of multi-technical services spanning ICT, facility management and energy infrastructure. Focuses on building systems, digital transformation and energy services.
Primer Finds
SPIE's ICT services face severe disruption as generative AI and automation tools can handle core functions like network management, cybersecurity monitoring and technical support, pushing services toward commoditized self-service models
In facility management, AI-powered predictive maintenance and IoT sensors could automate SPIE's monitoring and optimization services, reducing need for on-site staff and eroding margins on high-value management services
12.
IPSOS - Score: 7.9 | Market cap: $2Bn | Location: France
70% of the business potentially affected - Marketing Research (50%), Media and Advertising Research (20%)
Global market research firm helping clients understand consumer behavior and market trends through marketing, media and advertising research across 90+ markets.
Primer Finds
AI/LLMs could automate Ipsos's core survey design, data gathering and analysis tasks, while enabling clients to generate consumer insights in-house at lower costs
Real-time AI analytics could replace Ipsos's traditional ad testing and media measurement services, with major platforms like Google potentially offering integrated measurement tools
13.
Accenture - Score: 7.8 | Market cap: $227Bn | Location: US
50% of the business potentially affected - Operations (20%), Strategy & Consulting (30%)
Global professional services leader helping organizations with strategy, consulting, technology and operations across 40+ industries. Specializes in digital transformation and emerging tech implementation.
Primer Finds
AI could automate core BPO operations (finance, HR, supply chain), threatening Accenture's traditional labor-based outsourcing model. Clients may bring automated processes in-house or demand usage-based pricing
Strategy & consulting faces pressure as LLMs can rapidly generate market analyses and strategic frameworks. While Accenture's C-suite relationships provide some buffer, clients may bypass consultants by using AI tools directly
14.
Broadridge Financial Solutions - Score: 7.8 | Market cap: $28Bn | Location: US
30% of the business potentially affected - Global Technology and Operations (GTO) (30%)
Broadridge provides investor communications and technology solutions to financial firms, handling regulatory communications and securities processing through its communications and operations segments.
Primer Finds
AI enables faster, cheaper software development for post-trade processing and reporting, reducing reliance on Broadridge's managed services
AI-powered wealth management platforms could erode Broadridge's advisory tools business by offering cheaper, automated portfolio management and client servicing
15.
Sopra Steria - Score: 7.6 | Market cap: $4Bn | Location: France
70% of the business potentially affected - Business Process Services (10%), Consulting & Systems Integration (60%)
European IT consultancy providing digital services, systems integration and BPO services across sectors like banking, defense and public sector, with strong presence in France.
Primer Finds
Sopra's BPS segment faces existential threat as generative AI + RPA can automate core back-office and customer service operations, undermining its labor-arbitrage model unless rapidly transformed to AI-enabled services
Their consulting/SI revenue could shrink as AI automates basic consulting tasks and code generation, though complex integration work around legacy systems and regulated sectors (their specialty) provides some buffer
16.
Future - Score: 7.5 | Market cap: $1bn | Location: UK
100% of the business potentially affected - Media (75%), Magazines (25%)
Operates 250+ specialist media brands across tech, gaming, and lifestyle, monetizing through digital ads, e-commerce, events, and both print/digital magazines.
Primer Finds
AI content generation could flood Future's specialist niches with high-quality articles and reviews, undermining their magazines' subscription revenue and digital media's advertising rates
Their affiliate/e-commerce model faces pressure from AI shopping assistants and recommendation systems that could bypass Future's content platforms and connect consumers directly with products
17.
Banking sector - Score: 7.4 | Market cap: $10Tn | Location: Global
Banks (Fifth Third, M&T, Standard Chartered, FinecoBank) provide retail, commercial and investment banking services through branch networks and digital channels. Most face AI disruption across their entire business model, from consumer to corporate services.
Primer Finds
Retail/branch banking (40-60% for most) faces severe threat from AI-powered digital banks offering faster, cheaper services without physical infrastructure. Regional players like Fifth Third and M&T particularly vulnerable
Corporate/commercial banking sees margin compression as AI automates credit analysis and risk assessment, though relationship-driven aspects provide some protection. Standard Chartered's emerging market advantage could erode as AI democratizes market intelligence
18.
Relx - Score: 7.3 | Market cap: $91Bn | Location: UK
60% of the business potentially affected - Legal (25.0%), Scientific, Technical & Medical (35.0%)
Global provider of specialized information and analytics serving professional customers through scientific publishing (Elsevier), legal services (LexisNexis), risk analytics, and exhibitions.
Primer Finds
AI could automate core research and analysis tasks across RELX's legal and scientific platforms, with LLMs potentially replacing basic LexisNexis searches and Elsevier literature reviews
Their subscription-based model faces pressure as AI-native competitors could offer similar services at lower costs, though RELX's proprietary databases remain valuable training assets
19.
Insurance sector - Score: 7.2 | Market cap: $5Tn | Location: Global
Insurance sector (AIG, Poste, Phoenix, Marsh & McLennan) spans traditional insurance, financial services and professional services. Companies provide risk management, retirement solutions and advisory services through established distribution networks.
Primer Finds
Core insurance/financial products (AIG, Poste, Phoenix) vulnerable to AI-powered competitors offering faster, cheaper, personalized services through automated underwriting and claims processing
Physical infrastructure and traditional distribution networks (Poste Italiane, AIG) become liabilities as digital-first competitors leverage AI to serve customers more efficiently with lower overhead
20.
MONY - Score: 7.0 | Market cap: $1Bn | Location: UK
100% of the business potentially affected - Money (17%), Home Services (14%), Insurance (55%), MoneySavingExpert.com (12%), Travel (2%)
UK price comparison platform helping consumers compare insurance, financial products, utilities and travel options. Revenue comes from provider commissions when users switch or buy through their sites.
Primer Finds
AI could enable financial providers, insurers and travel companies to offer personalized products directly to consumers through sophisticated matching algorithms, bypassing Moneysupermarket's comparison platforms
MoneySavingExpert's content and advice model faces pressure as LLMs can generate tailored financial guidance and product recommendations at scale, though community aspects provide some defense
1.
Bolloré (inc. now spun-off units) - Score: 8.5 | Market cap: $16Bn | Location: France
65% of the business potentially affected - Communications (65%)
French conglomerate with major media/entertainment assets through Vivendi, plus logistics, oil distribution and battery tech divisions. Key player in European pay-TV and advertising.
Primer Finds
AI-powered content generation threatens Vivendi's media businesses - automated scriptwriting, editing and translation could slash production costs and enable new competitors in TV/film production and gaming
Havas advertising faces margin pressure as AI democratizes high-end creative services, while automated media buying and campaign optimization reduce barriers to entry
UMG stake (via Vivendi) could see markdowns if the music publishing sector sees revenue pressure via AI-generated artists and/or an uptake personalised music services that undermine the scarcity of existing digital music sales
2.
Teleperformance - Score: 8.2 | Market cap: $5Bn | Location: France
70% of the business potentially affected - Customer Experience Management (CXM) Services (70%)
Global provider of outsourced customer experience management services, operating in 80+ countries and offering multilingual support through contact centers and digital solutions.
Primer Finds
Advanced LLMs and AI chatbots could automate 50-70% of Teleperformance's core customer support interactions within 3-5 years, dramatically reducing need for human agents
Direct API-based customer service solutions from OpenAI/Anthropic could let clients bypass Teleperformance entirely, while forcing dramatic price reductions for remaining services
3.
Ad Agencies sector - Score: 8.2 | Market cap: $2Tn | Location: Global
Global advertising agencies (Omnicom Group, WPP, and Interpublic) create marketing campaigns and manage media buying for large corporations through networks of specialized creative and strategic agencies.
Primer Finds
AI tools (GPT, DALL-E) can automate core creative work like copywriting and visuals, potentially commoditizing high-margin services that are 70%+ of revenue for WPP, IPG and Omnicom
Media planning/buying (especially big for WPP's GroupM) could be automated by AI platforms, while tech companies might offer direct-to-client solutions
4.
Cognizant Technology Solutions - Score: 8.2 | Market cap: $39Bn | Location: US
75% of the business potentially affected - Business Process Services (25%), Application Development and Maintenance Services (50%)
Global IT services provider specializing in custom software development and business process outsourcing, helping enterprises adopt digital technologies and streamline operations.
Primer Finds
Cognizant's BPS segment faces severe threat as LLMs combined with RPA could automate vast portions of finance, accounting and customer service operations, undermining their labor arbitrage model
Their application development services are vulnerable to AI code generators like GPT-4 and GitHub Copilot, which could reduce need for large dev teams and enable smaller, AI-first competitors to outmaneuver them
5.
Sofina - Score: 8.2 | Market cap: $8Bn | Location: Belgium
50% of the business potentially affected - Digital Transformation (30%), Education (20%)
Belgian investment firm backing growth companies globally across digital, consumer, healthcare and education sectors, providing both capital and strategic support to scale operations.
Primer Finds
Digital transformation portfolio faces dual threat - AI could make current software/consulting offerings obsolete while enabling new competitors with lower-cost automated solutions, forcing rapid business model pivots
Education investments like Byju's risk disruption as AI tutors and automated content generation could dramatically reduce costs of delivering quality education, pressuring traditional edtech revenue models
6.
Pearson - Score: 8.1 | Market cap: $10Bn | Location: United Kingdom
60% of the business potentially affected - Higher Education (20%), English Language Learning (15%), Virtual Learning (25%)
Global education company providing learning materials, assessments and virtual programs. Serves students, institutions and corporations through textbooks, English learning, online courses and certification.
Primer Finds
Virtual Learning faces threat as sophisticated AI tutors and automated course creation allow universities to build in-house capabilities cheaper, while enabling new edtech competitors to enter with lower overhead
7.
Continental - Score: 8.0 | Market cap: $14Bn | Location: Germany
40% of the business potentially affected - Automotive Technologies (40%)
German automotive supplier specializing in tires, automotive technologies, and rubber solutions. Key player in vehicle safety, automation and connectivity systems for global automakers.
Primer Finds
Continental's Automotive Technologies faces existential threat as vehicles become software-defined - tech giants and AI startups could bypass traditional tier-1 suppliers with integrated AI solutions for autonomous driving and ADAS
Company's hardware-centric business model risks obsolescence as value shifts to AI/software. Must transform rapidly while managing margin pressure from commoditized automotive AI capabilities
8.
Baltic Classifieds Group - Score: 8.0 | Market cap: $2Bn | Location: UK
35% of the business potentially affected - Job Classifieds (15%), General Classifieds (20%)
Leading online classifieds operator in Baltics running platforms for real estate, auto, jobs and general merchandise. Revenue from listing fees and premium services across Lithuania, Latvia and Estonia.
Primer Finds
AI recruitment tools could bypass BCG's job boards by automating candidate matching and screening, while global platforms like LinkedIn could leverage their data and AI capabilities to offer superior hiring solutions at lower costs
General classifieds face threat from AI-powered marketplaces (potentially run by big tech) that offer automated listing creation, smart matching, and fraud detection - potentially at lower costs than BCG's current fee structure
9.
Forvia - Score: 7.9 | Market cap: $2Bn | Location: France
30% of the business potentially affected - Clean Mobility (20%), Electronics (10%)
Global automotive supplier formed from Faurecia and Hella merger, specializing in seating, interiors, clean mobility, electronics and lighting for major automakers.
Primer Finds
AI is accelerating EV and battery tech development, threatening Forvia's traditional emissions control business. While they have some hydrogen/thermal management capabilities, they need to rapidly pivot R&D to stay relevant
In electronics, Forvia faces pressure from tech giants and startups as vehicles become more software-defined. Their traditional hardware expertise may be less valuable as AI-powered computing platforms consolidate vehicle electronics
10.
Electrical Equipment sector - Score: 7.9 | Market cap: $2Tn | Location: Global
Manufacturers of electrical equipment and automation systems for buildings and industry (Legrand, ABB, Rockwell), spanning wiring, robotics, control systems and industrial automation solutions.
Primer Finds
AI-powered design/manufacturing could commoditize core hardware products across players (esp. Legrand's wiring, ABB's motion), enabling low-cost competitors to rapidly develop alternatives
Value shifting from hardware to software - traditional control systems threatened by AI-native competitors offering more automated, self-learning solutions (critical for Rockwell's Software segment)
11.
SPIE - Score: 7.9 | Market cap: $6Bn | Location: France
50% of the business potentially affected - Information and Communications Technology (ICT) Services (20%), Technical Facility Management (30%)
European provider of multi-technical services spanning ICT, facility management and energy infrastructure. Focuses on building systems, digital transformation and energy services.
Primer Finds
SPIE's ICT services face severe disruption as generative AI and automation tools can handle core functions like network management, cybersecurity monitoring and technical support, pushing services toward commoditized self-service models
In facility management, AI-powered predictive maintenance and IoT sensors could automate SPIE's monitoring and optimization services, reducing need for on-site staff and eroding margins on high-value management services
12.
IPSOS - Score: 7.9 | Market cap: $2Bn | Location: France
70% of the business potentially affected - Marketing Research (50%), Media and Advertising Research (20%)
Global market research firm helping clients understand consumer behavior and market trends through marketing, media and advertising research across 90+ markets.
Primer Finds
AI/LLMs could automate Ipsos's core survey design, data gathering and analysis tasks, while enabling clients to generate consumer insights in-house at lower costs
Real-time AI analytics could replace Ipsos's traditional ad testing and media measurement services, with major platforms like Google potentially offering integrated measurement tools
13.
Accenture - Score: 7.8 | Market cap: $227Bn | Location: US
50% of the business potentially affected - Operations (20%), Strategy & Consulting (30%)
Global professional services leader helping organizations with strategy, consulting, technology and operations across 40+ industries. Specializes in digital transformation and emerging tech implementation.
Primer Finds
AI could automate core BPO operations (finance, HR, supply chain), threatening Accenture's traditional labor-based outsourcing model. Clients may bring automated processes in-house or demand usage-based pricing
Strategy & consulting faces pressure as LLMs can rapidly generate market analyses and strategic frameworks. While Accenture's C-suite relationships provide some buffer, clients may bypass consultants by using AI tools directly
14.
Broadridge Financial Solutions - Score: 7.8 | Market cap: $28Bn | Location: US
30% of the business potentially affected - Global Technology and Operations (GTO) (30%)
Broadridge provides investor communications and technology solutions to financial firms, handling regulatory communications and securities processing through its communications and operations segments.
Primer Finds
AI enables faster, cheaper software development for post-trade processing and reporting, reducing reliance on Broadridge's managed services
AI-powered wealth management platforms could erode Broadridge's advisory tools business by offering cheaper, automated portfolio management and client servicing
15.
Sopra Steria - Score: 7.6 | Market cap: $4Bn | Location: France
70% of the business potentially affected - Business Process Services (10%), Consulting & Systems Integration (60%)
European IT consultancy providing digital services, systems integration and BPO services across sectors like banking, defense and public sector, with strong presence in France.
Primer Finds
Sopra's BPS segment faces existential threat as generative AI + RPA can automate core back-office and customer service operations, undermining its labor-arbitrage model unless rapidly transformed to AI-enabled services
Their consulting/SI revenue could shrink as AI automates basic consulting tasks and code generation, though complex integration work around legacy systems and regulated sectors (their specialty) provides some buffer
16.
Future - Score: 7.5 | Market cap: $1bn | Location: UK
100% of the business potentially affected - Media (75%), Magazines (25%)
Operates 250+ specialist media brands across tech, gaming, and lifestyle, monetizing through digital ads, e-commerce, events, and both print/digital magazines.
Primer Finds
AI content generation could flood Future's specialist niches with high-quality articles and reviews, undermining their magazines' subscription revenue and digital media's advertising rates
Their affiliate/e-commerce model faces pressure from AI shopping assistants and recommendation systems that could bypass Future's content platforms and connect consumers directly with products
17.
Banking sector - Score: 7.4 | Market cap: $10Tn | Location: Global
Banks (Fifth Third, M&T, Standard Chartered, FinecoBank) provide retail, commercial and investment banking services through branch networks and digital channels. Most face AI disruption across their entire business model, from consumer to corporate services.
Primer Finds
Retail/branch banking (40-60% for most) faces severe threat from AI-powered digital banks offering faster, cheaper services without physical infrastructure. Regional players like Fifth Third and M&T particularly vulnerable
Corporate/commercial banking sees margin compression as AI automates credit analysis and risk assessment, though relationship-driven aspects provide some protection. Standard Chartered's emerging market advantage could erode as AI democratizes market intelligence
18.
Relx - Score: 7.3 | Market cap: $91Bn | Location: UK
60% of the business potentially affected - Legal (25.0%), Scientific, Technical & Medical (35.0%)
Global provider of specialized information and analytics serving professional customers through scientific publishing (Elsevier), legal services (LexisNexis), risk analytics, and exhibitions.
Primer Finds
AI could automate core research and analysis tasks across RELX's legal and scientific platforms, with LLMs potentially replacing basic LexisNexis searches and Elsevier literature reviews
Their subscription-based model faces pressure as AI-native competitors could offer similar services at lower costs, though RELX's proprietary databases remain valuable training assets
19.
Insurance sector - Score: 7.2 | Market cap: $5Tn | Location: Global
Insurance sector (AIG, Poste, Phoenix, Marsh & McLennan) spans traditional insurance, financial services and professional services. Companies provide risk management, retirement solutions and advisory services through established distribution networks.
Primer Finds
Core insurance/financial products (AIG, Poste, Phoenix) vulnerable to AI-powered competitors offering faster, cheaper, personalized services through automated underwriting and claims processing
Physical infrastructure and traditional distribution networks (Poste Italiane, AIG) become liabilities as digital-first competitors leverage AI to serve customers more efficiently with lower overhead
20.
MONY - Score: 7.0 | Market cap: $1Bn | Location: UK
100% of the business potentially affected - Money (17%), Home Services (14%), Insurance (55%), MoneySavingExpert.com (12%), Travel (2%)
UK price comparison platform helping consumers compare insurance, financial products, utilities and travel options. Revenue comes from provider commissions when users switch or buy through their sites.
Primer Finds
AI could enable financial providers, insurers and travel companies to offer personalized products directly to consumers through sophisticated matching algorithms, bypassing Moneysupermarket's comparison platforms
MoneySavingExpert's content and advice model faces pressure as LLMs can generate tailored financial guidance and product recommendations at scale, though community aspects provide some defense
1.
Bolloré (inc. now spun-off units) - Score: 8.5 | Market cap: $16Bn | Location: France
65% of the business potentially affected - Communications (65%)
French conglomerate with major media/entertainment assets through Vivendi, plus logistics, oil distribution and battery tech divisions. Key player in European pay-TV and advertising.
Primer Finds
AI-powered content generation threatens Vivendi's media businesses - automated scriptwriting, editing and translation could slash production costs and enable new competitors in TV/film production and gaming
Havas advertising faces margin pressure as AI democratizes high-end creative services, while automated media buying and campaign optimization reduce barriers to entry
UMG stake (via Vivendi) could see markdowns if the music publishing sector sees revenue pressure via AI-generated artists and/or an uptake personalised music services that undermine the scarcity of existing digital music sales
2.
Teleperformance - Score: 8.2 | Market cap: $5Bn | Location: France
70% of the business potentially affected - Customer Experience Management (CXM) Services (70%)
Global provider of outsourced customer experience management services, operating in 80+ countries and offering multilingual support through contact centers and digital solutions.
Primer Finds
Advanced LLMs and AI chatbots could automate 50-70% of Teleperformance's core customer support interactions within 3-5 years, dramatically reducing need for human agents
Direct API-based customer service solutions from OpenAI/Anthropic could let clients bypass Teleperformance entirely, while forcing dramatic price reductions for remaining services
3.
Ad Agencies sector - Score: 8.2 | Market cap: $2Tn | Location: Global
Global advertising agencies (Omnicom Group, WPP, and Interpublic) create marketing campaigns and manage media buying for large corporations through networks of specialized creative and strategic agencies.
Primer Finds
AI tools (GPT, DALL-E) can automate core creative work like copywriting and visuals, potentially commoditizing high-margin services that are 70%+ of revenue for WPP, IPG and Omnicom
Media planning/buying (especially big for WPP's GroupM) could be automated by AI platforms, while tech companies might offer direct-to-client solutions
4.
Cognizant Technology Solutions - Score: 8.2 | Market cap: $39Bn | Location: US
75% of the business potentially affected - Business Process Services (25%), Application Development and Maintenance Services (50%)
Global IT services provider specializing in custom software development and business process outsourcing, helping enterprises adopt digital technologies and streamline operations.
Primer Finds
Cognizant's BPS segment faces severe threat as LLMs combined with RPA could automate vast portions of finance, accounting and customer service operations, undermining their labor arbitrage model
Their application development services are vulnerable to AI code generators like GPT-4 and GitHub Copilot, which could reduce need for large dev teams and enable smaller, AI-first competitors to outmaneuver them
5.
Sofina - Score: 8.2 | Market cap: $8Bn | Location: Belgium
50% of the business potentially affected - Digital Transformation (30%), Education (20%)
Belgian investment firm backing growth companies globally across digital, consumer, healthcare and education sectors, providing both capital and strategic support to scale operations.
Primer Finds
Digital transformation portfolio faces dual threat - AI could make current software/consulting offerings obsolete while enabling new competitors with lower-cost automated solutions, forcing rapid business model pivots
Education investments like Byju's risk disruption as AI tutors and automated content generation could dramatically reduce costs of delivering quality education, pressuring traditional edtech revenue models
6.
Pearson - Score: 8.1 | Market cap: $10Bn | Location: United Kingdom
60% of the business potentially affected - Higher Education (20%), English Language Learning (15%), Virtual Learning (25%)
Global education company providing learning materials, assessments and virtual programs. Serves students, institutions and corporations through textbooks, English learning, online courses and certification.
Primer Finds
Virtual Learning faces threat as sophisticated AI tutors and automated course creation allow universities to build in-house capabilities cheaper, while enabling new edtech competitors to enter with lower overhead
7.
Continental - Score: 8.0 | Market cap: $14Bn | Location: Germany
40% of the business potentially affected - Automotive Technologies (40%)
German automotive supplier specializing in tires, automotive technologies, and rubber solutions. Key player in vehicle safety, automation and connectivity systems for global automakers.
Primer Finds
Continental's Automotive Technologies faces existential threat as vehicles become software-defined - tech giants and AI startups could bypass traditional tier-1 suppliers with integrated AI solutions for autonomous driving and ADAS
Company's hardware-centric business model risks obsolescence as value shifts to AI/software. Must transform rapidly while managing margin pressure from commoditized automotive AI capabilities
8.
Baltic Classifieds Group - Score: 8.0 | Market cap: $2Bn | Location: UK
35% of the business potentially affected - Job Classifieds (15%), General Classifieds (20%)
Leading online classifieds operator in Baltics running platforms for real estate, auto, jobs and general merchandise. Revenue from listing fees and premium services across Lithuania, Latvia and Estonia.
Primer Finds
AI recruitment tools could bypass BCG's job boards by automating candidate matching and screening, while global platforms like LinkedIn could leverage their data and AI capabilities to offer superior hiring solutions at lower costs
General classifieds face threat from AI-powered marketplaces (potentially run by big tech) that offer automated listing creation, smart matching, and fraud detection - potentially at lower costs than BCG's current fee structure
9.
Forvia - Score: 7.9 | Market cap: $2Bn | Location: France
30% of the business potentially affected - Clean Mobility (20%), Electronics (10%)
Global automotive supplier formed from Faurecia and Hella merger, specializing in seating, interiors, clean mobility, electronics and lighting for major automakers.
Primer Finds
AI is accelerating EV and battery tech development, threatening Forvia's traditional emissions control business. While they have some hydrogen/thermal management capabilities, they need to rapidly pivot R&D to stay relevant
In electronics, Forvia faces pressure from tech giants and startups as vehicles become more software-defined. Their traditional hardware expertise may be less valuable as AI-powered computing platforms consolidate vehicle electronics
10.
Electrical Equipment sector - Score: 7.9 | Market cap: $2Tn | Location: Global
Manufacturers of electrical equipment and automation systems for buildings and industry (Legrand, ABB, Rockwell), spanning wiring, robotics, control systems and industrial automation solutions.
Primer Finds
AI-powered design/manufacturing could commoditize core hardware products across players (esp. Legrand's wiring, ABB's motion), enabling low-cost competitors to rapidly develop alternatives
Value shifting from hardware to software - traditional control systems threatened by AI-native competitors offering more automated, self-learning solutions (critical for Rockwell's Software segment)
11.
SPIE - Score: 7.9 | Market cap: $6Bn | Location: France
50% of the business potentially affected - Information and Communications Technology (ICT) Services (20%), Technical Facility Management (30%)
European provider of multi-technical services spanning ICT, facility management and energy infrastructure. Focuses on building systems, digital transformation and energy services.
Primer Finds
SPIE's ICT services face severe disruption as generative AI and automation tools can handle core functions like network management, cybersecurity monitoring and technical support, pushing services toward commoditized self-service models
In facility management, AI-powered predictive maintenance and IoT sensors could automate SPIE's monitoring and optimization services, reducing need for on-site staff and eroding margins on high-value management services
12.
IPSOS - Score: 7.9 | Market cap: $2Bn | Location: France
70% of the business potentially affected - Marketing Research (50%), Media and Advertising Research (20%)
Global market research firm helping clients understand consumer behavior and market trends through marketing, media and advertising research across 90+ markets.
Primer Finds
AI/LLMs could automate Ipsos's core survey design, data gathering and analysis tasks, while enabling clients to generate consumer insights in-house at lower costs
Real-time AI analytics could replace Ipsos's traditional ad testing and media measurement services, with major platforms like Google potentially offering integrated measurement tools
13.
Accenture - Score: 7.8 | Market cap: $227Bn | Location: US
50% of the business potentially affected - Operations (20%), Strategy & Consulting (30%)
Global professional services leader helping organizations with strategy, consulting, technology and operations across 40+ industries. Specializes in digital transformation and emerging tech implementation.
Primer Finds
AI could automate core BPO operations (finance, HR, supply chain), threatening Accenture's traditional labor-based outsourcing model. Clients may bring automated processes in-house or demand usage-based pricing
Strategy & consulting faces pressure as LLMs can rapidly generate market analyses and strategic frameworks. While Accenture's C-suite relationships provide some buffer, clients may bypass consultants by using AI tools directly
14.
Broadridge Financial Solutions - Score: 7.8 | Market cap: $28Bn | Location: US
30% of the business potentially affected - Global Technology and Operations (GTO) (30%)
Broadridge provides investor communications and technology solutions to financial firms, handling regulatory communications and securities processing through its communications and operations segments.
Primer Finds
AI enables faster, cheaper software development for post-trade processing and reporting, reducing reliance on Broadridge's managed services
AI-powered wealth management platforms could erode Broadridge's advisory tools business by offering cheaper, automated portfolio management and client servicing
15.
Sopra Steria - Score: 7.6 | Market cap: $4Bn | Location: France
70% of the business potentially affected - Business Process Services (10%), Consulting & Systems Integration (60%)
European IT consultancy providing digital services, systems integration and BPO services across sectors like banking, defense and public sector, with strong presence in France.
Primer Finds
Sopra's BPS segment faces existential threat as generative AI + RPA can automate core back-office and customer service operations, undermining its labor-arbitrage model unless rapidly transformed to AI-enabled services
Their consulting/SI revenue could shrink as AI automates basic consulting tasks and code generation, though complex integration work around legacy systems and regulated sectors (their specialty) provides some buffer
16.
Future - Score: 7.5 | Market cap: $1bn | Location: UK
100% of the business potentially affected - Media (75%), Magazines (25%)
Operates 250+ specialist media brands across tech, gaming, and lifestyle, monetizing through digital ads, e-commerce, events, and both print/digital magazines.
Primer Finds
AI content generation could flood Future's specialist niches with high-quality articles and reviews, undermining their magazines' subscription revenue and digital media's advertising rates
Their affiliate/e-commerce model faces pressure from AI shopping assistants and recommendation systems that could bypass Future's content platforms and connect consumers directly with products
17.
Banking sector - Score: 7.4 | Market cap: $10Tn | Location: Global
Banks (Fifth Third, M&T, Standard Chartered, FinecoBank) provide retail, commercial and investment banking services through branch networks and digital channels. Most face AI disruption across their entire business model, from consumer to corporate services.
Primer Finds
Retail/branch banking (40-60% for most) faces severe threat from AI-powered digital banks offering faster, cheaper services without physical infrastructure. Regional players like Fifth Third and M&T particularly vulnerable
Corporate/commercial banking sees margin compression as AI automates credit analysis and risk assessment, though relationship-driven aspects provide some protection. Standard Chartered's emerging market advantage could erode as AI democratizes market intelligence
18.
Relx - Score: 7.3 | Market cap: $91Bn | Location: UK
60% of the business potentially affected - Legal (25.0%), Scientific, Technical & Medical (35.0%)
Global provider of specialized information and analytics serving professional customers through scientific publishing (Elsevier), legal services (LexisNexis), risk analytics, and exhibitions.
Primer Finds
AI could automate core research and analysis tasks across RELX's legal and scientific platforms, with LLMs potentially replacing basic LexisNexis searches and Elsevier literature reviews
Their subscription-based model faces pressure as AI-native competitors could offer similar services at lower costs, though RELX's proprietary databases remain valuable training assets
19.
Insurance sector - Score: 7.2 | Market cap: $5Tn | Location: Global
Insurance sector (AIG, Poste, Phoenix, Marsh & McLennan) spans traditional insurance, financial services and professional services. Companies provide risk management, retirement solutions and advisory services through established distribution networks.
Primer Finds
Core insurance/financial products (AIG, Poste, Phoenix) vulnerable to AI-powered competitors offering faster, cheaper, personalized services through automated underwriting and claims processing
Physical infrastructure and traditional distribution networks (Poste Italiane, AIG) become liabilities as digital-first competitors leverage AI to serve customers more efficiently with lower overhead
20.
MONY - Score: 7.0 | Market cap: $1Bn | Location: UK
100% of the business potentially affected - Money (17%), Home Services (14%), Insurance (55%), MoneySavingExpert.com (12%), Travel (2%)
UK price comparison platform helping consumers compare insurance, financial products, utilities and travel options. Revenue comes from provider commissions when users switch or buy through their sites.
Primer Finds
AI could enable financial providers, insurers and travel companies to offer personalized products directly to consumers through sophisticated matching algorithms, bypassing Moneysupermarket's comparison platforms
MoneySavingExpert's content and advice model faces pressure as LLMs can generate tailored financial guidance and product recommendations at scale, though community aspects provide some defense
How Primer conducted its analysis:
How Primer conducted its analysis:
Below is a short summary of the steps taken - for the full white paper on methodology and pipeline, please get in touch at hello@primerapp.com.
Company and Divisional Descriptions
We started from the Primer company descriptions (which include detailed divisional breakdowns), reporting history and company peers. Primer has this information for each company under coverage.
Reason Over Each Division Individually
Primer analysed each division of every company under coverage, specifically reasoning on AI impacts over the medium term, whether positive or negative, including the percentage of company revenue impacted. It provided a detailed disruption rationale and score for each division.
Mixture of Analyses
Primer repeated the analysis multiple times to produce multiple rationales and scores for each company's division.
Reason Over Each Company Individually
Primer evaluated each company by examining the different disruption rationales across their divisions, producing a final company-level analysis.
Rerank
The scores were normalised and averaged for each company, then reranked to order based on score and size of affected revenue percentage.
Cut-off and Grouping
To produce the final report, a 'top 20' cutoff was set. Primer grouped companies belonging to sectors with common themes, leaving unique ones on their own.
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