100+ must-read AI and Generative AI Reports
A live and updated list of 100+ must-read reports from renowned companies, offering comprehensive analyses and the latest trends in AI and Generative AI.
Explore insights and opportunities around AI and Generative AI
Delve into AI and generative AI reports to gain a deeper understanding of emerging trends, innovative applications, and valuable perspectives. These reports offer a comprehensive look into the current state of AI technology, providing in-depth analyses, case studies, and expert opinions. By exploring these resources, you not only stay informed about the latest developments but also gain actionable knowledge that can guide strategic decision-making.
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We categorise the 100+ must-read AI and Generative AI reports to make it easier for you to find the most relevant ones. Here are some tips to get started!
You can filter the list based on the publishing organisation, publication year, report industry score and topic type of reports. This helps you explore and understand the significance of AI and generative AI in today’s rapidly changing industry landscape.
Note: A reference to the source is attached to all reports. An explanation of the methodology can be found at the bottom of the page.
100+ Must-read AI and Generative AI Reports from reputable companies
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|Name of Report||Publishing Organisation||Publication Year||Type of Topic||Subject Terms||Summary and Key Insights||Report Industry Score||Overview of the Report||Publication Date||Authors|
|2023 KPMG US Technology Survey Report||KPMG||2023||Industry trends, Opportunities and Challenges||Consumer and retail, Digital transformation, ESG, Digital trust and security, Cloud technology||Link||High||The 2023 KPMG US Technology Report—demonstrates how laser-focused digital acceleration and investments are enabling US businesses to capitalize on technology’s promise, even as they navigate economic, geopolitical, regulatory, and customer volatility.||October 2023||Barry Brunsman, Bobby Soni|
|Blockchain and generative AI: A perfect pairing?||KPMG||2023||Industry trends, Applications and use cases||Blockchain, ChatGPT, Intellectual property (IP), Smart contracts, NFT, Data security||Link||Medium||Blockchain’s ability to decentralize identity and verification could prove invaluable as artificial intelligence carves out a bigger role in content generation.||May 2023||Eric Ledyard|
|Fueling the AI transformation: Four key actions powering widespread value from AI, right now.||Deloitte||2022||Industry trends, Opportunities and Challenges, Applications and use cases||Digital Transformation, Culture||Link||High||The report surveyed 2,620 executives from 13 countries across the globe, outlining detailed recommendations for leaders to cultivate an AI-ready enterprise and improve outcomes for their AI efforts.||October 2022||Nitin Mittal, Irfan Saif, Beena Ammanath|
|Driving business success with generative AI in consumer and retail||KPMG||2023||Industry trends, Opportunities and Challenges, Applications and use cases||Consumer and retail, Data infrastructure, AI Strategy||Link||Medium||The report discusses how Generative AI can optimise pricing, improve ad content, generate engaging product descriptions, and enhance customer service interactions.||June 2023||KPMG|
|The economic potential of generative AI: The next productivity frontier||McKinsey & Company||2023||Industry trends, Opportunities and Challenges, Applications and use cases||Banking, Pharmaceuticals, Economic growth, Retail and Consumer||Link||High||The research focuses on on how companies should prepare to capture the benefits and mitigate the risks of generative AI.||June 2023||Michael Chui, Eric Hazan, Roger Roberts, Alex Singla, Kate Smaje, Alex Sukharevsky, Lareina Yee, and Rodney Zemmel|
|The Generative AI Dossier||Deloitte||2023||Applications and use cases, Workforce impact||Consumer, Energy, Financial services, Public service, Health care, Technology||Link||Medium||A curated collection of Generative AI use cases designed to help spark ideas, reveal value-driving deployments, and set organizations on a road to making the most valuable use of this powerful new technology||03/10/2023||Deloitte AI Institute|
|The flip side of generative AI: Challenges and risks around responsible use||KPMG||2023||Opportunities and Challenges, Applications and use cases||Risk, Intellectual property (IP), Fraud, Cybersecurity||Link||Low||The report looks at the risk management challenges raised by generative AI and underscore the importance for organizations to identify these risks early, form governance constructs to help adopt generative AI responsibly, and understand how risks may impact building trust in the use of generative AI.||February 2023||KPMG|
|Proactive risk management in Generative AI||KPMG||2023||Opportunities and Challenges, Workforce impact, Risk and compliance||Risk management, AI governance||Link||Medium||The report focuses on the need for proactive risk management in the rapidly evolving field of Generative AI.||2023||Deloitte AI Institute|
|Achieving Individual — and Organizational — Value With AI||MIT Sloan management review||2022||Opportunities and Challenges, Workforce impact, Risk and compliance, Applications and use cases||Personal value, Relationship||Link||High||The research looks at how individuals use AI at work and how they derive personal value from their use of AI.||November 2022||Sam Ransbotham, David Kiron, François Candelon, Shervin Khodabandeh, and Michael Chu|
|A new frontier in artificial intelligence||Deloitte||2023||Industry trends, Opportunities and challenges, Workforce impact, Risk and compliance||Consumer applications, Enterprise solutions, Market impact, Business model||Link||Medium||The report delves into enterprise and consumer use cases, shift focus to how players across the market can build sustainable business models, and wrap up with some considerations and bold predictions for the future of Generative AI.||2023||Deloitte AI Institute|
|How can generative AI shape the banking industry?||PAC||2023||Industry trends, Opportunities and challenges, Workforce impact, Risk and compliance||Banking, Ethics, Digital transformation, Professional services||Link||Medium||This report looks at the technological journey the banking industry has been experiencing for the past decade and how best to understand the role and value of GenAI in its current form.||September 2023||Spencer Izard|
|Artificial intelligence – beyond the buzz||BlackRock||2023||Industry trends, Opportunities and challenges, Workforce impact, Risk and compliance, Applications and use cases||Large Language Models (LLMs), Digital distribution, Cybersecurity||Link||High||This report identifies digital disruption and artificial intelligence (AI) as one of the five key megaforces shaping a new era of macroeconomic and market volatility. It emphasizes the transformative impact of AI on the way we live and work, and the consequent market reshaping as companies rapidly adopt this technology.||November 2023||Jay Jacobs, Tony Kim, Andreea Mitrache, Simona Paravani Mellinghoff, Ben Powell, Raffaele Savi|
|Generative AI deployment: Strategies for smooth scaling||MIT Technology Review Insights||2023||Industry trends, Opportunities and challenges, Workforce impact, Risk and compliance, Applications and use cases||Risk Management, Technological Transformation, Strategic Considerations, Regulation||Link||High||This report explores the deployment of generative AI in enterprises.||October 2023||MIT Technology Review Insights|
|Banking on a game-changer: AI in financial services||The Economist||2022||Applications and use cases, Risk and compliance, Opportunities and challenges||Risk Management, Regulatory Compliance, Banking, Fraud Detection, Digital Marketing||Link||High||The report examines the growing adoption of AI in the financial services industry.||2022||The Economist|
|AI in Banking: AI Will Be An Incremental Game Changer||S&P Global Ratings||2023||Opportunities and challenges, Risk and compliance, Applications and use cases||Banking, Risk Management, Data Analysis, Machine Learning, Digital Transformation||Link||High||This report discusses the adoption of generative AI in banking, emphasising its potential for earnings growth, improvements in decision-making, and enhanced risk management.||October 2023||Miriam Fernández|
|Augmented work for an automated, AI-driven world||IBM||2023||Industry trends, Opportunities and challenges, Workforce impact, Risk and compliance, Applications and use cases||Workforce Reskilling, Employee Engagement, Operating Model, Automation||Link||High||This report explores the evolving landscape of the workforce in the era of AI and automation.||August 2023||Jill Goldstein, Bill Lobig, Cathy Fillare, Christopher Nowak|
|Seizing the AI and automation opportunity||IBM||2023||Opportunities and challenges, Risk and compliance, Applications and use cases||Automation, Business Transformation, Risk Management, Data-Led Innovation||Link||Medium||This report delves into data and preparedness, workforce talent and digital assistants, the IT opportunity, and investment priorities||October 2023||Karen Butne, Tom Ivory, William (Bill) Lobig|
|Automate to elevate: Unlocking the value potentialof AI-powered process mining||IBM||2023||Industry trends, Opportunities and challenges, Applications and use cases||AI-Powered Process Mining, Data Integration, Intelligent Automation, Digital Process Improvement, RPA.||Link||Medium||The report explores how AI-powered process mining can unlock hidden value in businesses by integrating big data into processes and workflows.||May 2023||Karen Butner, Jacob Dencik, Lisa Higgins, Anthony Marshall, Kirsten Palmer|
|Asset & Wealth Management: The AI Tipping Point||Morgan Stanley||2023||Industry trends, Opportunities and challenges, Applications and use cases||Asset Management, Wealth Management, Investment Strategy||Link||Medium||The report discusses the transformative impact of generative AI (Gen AI) in the asset and wealth management industry, focusing on how it can supercharge efficiency and drive growth.||2023||Betsy L. Graseck, Michael J. Cyprys, Bruce Hamilton, Andrei Stadnik, Giulia Aurora Miotto, Connell J. Schmitz. Stephanie Ma, Nancy Huang, Luke Hutchinson, Jose Eibar, Adam Khadra, João Miguel Rodrigues, Kamil Kaczmarski, Joshua Zwick|
|The state of AI in 2023: Generative AI’s breakout year||McKinsey & Company||2023||Opportunities and challenges, Workforce impacts, Applications and use cases||Industry Disruption, Risk Management, Investment Trends||Link||High||The latest annual McKinsey Global Survey on the current state of AI confirms the explosive growth of generative AI (gen AI) tools.||August 2023||Michael Chui, Lareina Yee, Bryce Hall, Alex Singla, Alexander Sukharevsky|
|A Generative AI Roadmap for Financial Institutions||BCG||2023||Opportunities and challenges, Workforce impacts, Applications and use cases||Financial Institutions, Predictive AI, AI Strategy, AI Governance, AI Regulation||Link||High||The report emphasises the transformative role of artificial intelligence (AI) in various industries, particularly in the financial sector.||November 2023||Stiene Riemer, Michael Strauß, Ella Rabener, Jeanne Kwong Bickford, Pim Hilbers, Nipun Kalra, Aparna Kapoor, Julian King, Silvio Palumbo, Neil Pardasani, Marc Pauly, Kirsten Rulf, and Michael Widowitz|
|The global standard benchmark of AI maturity||Evident||2023||Industry trends, Opportunities and challenges, Applications and use cases, Workforce impacts||Banking Sector||Link||High||The report explore the latest Evident AI Index rankings, key findings, and the methodology driving the world's first "outside-in" benchmark of AI maturity in banking.||November 2023||Elizabeth Dunmore, Colin Gilbert, Andrew Haynes, Jamie Howie, Alex Inch, Sam Meeson, and the wider team at Evident|
|Emerging Risks and Opportunities of Generative AI for Banks: A Singapore Perspective||MindForge||2023||Opportunities and challenges, Risk and compliance, Applications and use cases||Banking Sector, Risk Management, Regulatory Framework, AI Ethics||Link||Medium||This report explores the impact and potential risks of generative artificial intelligence (AI) technology in the financial services sector, particularly in Singapore.||2023||MindForge|
|The AI Index 2023 Annual Report||Stanford University||2023||Industry trends, Opportunities and challenges, Risk and Compliance||Machine Learning, AI Ethics, AI Governance, Diversity, Public Opinion||Link||High||The report introduce a new chapter on AI public opinion, a more thorough technical performance chapter, original analysis about large language and multimodal models, detailed trends in global AI legislation records, a study of the environmental impact of AI systems, and more.||April 2023||Nestor Maslej, Loredana Fattorini, Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Helen Ngo, Juan Carlos Niebles, Vanessa Parli, Yoav Shoham, Russell Wald, Jack Clark, and Raymond Perrault|
|Impact and opportunities: Canada's AI ecosystem - 2023||Deloitte||2023||Industry trends, Opportunities and challenges, Risk and Compliance||AI Ethical, CIFAR, Cybersecurity, AI Patent||Link||Medium||This report provides a snapshot of the state of Canada’s national AI ecosystem for the 2022–23 period (April 1, 2022 – March 31, 2023); it was created to help the broader market understand how an evolving Canadian AI landscape is reshaping our comprehension and adoption of AI technologies and affecting how the country is viewed on the global stage.||2023||Deloitte|
|AI Trends for Marketers||Hubspot||2023||Opportunities and challenges, Industry trends, Applications and use cases||SEO, AI Ethics, Automation, Data Analysis||Link||Medium||The report explores the trends in AI for marketing along with insights from leaders in tech on what these trends mean for business growth.||2023||Hubspot|
|Trust in artificial intelligence: 2023 global study on the shifting public perceptions of AI||KPMG||2023||Opportunities and challenges, Risk and compliance||Cybersecurity, Responsible AI, AI Governance, AI Understanding (AI IQ)||Link||High||The research provides comprehensive, timely, global insights into the public’s trust and acceptance of AI systems, including who is trusted to develop, use and govern AI, the perceived benefits and risks of AI use, community expectations of the development, regulation and governance of AI, and how organisations can support trust in their AI use.||2023||Nicole Gillespie, Dr Steve Lockey, Dr Caitlin Curtis and Dr Javad Pool, Dr Ali Akbari|
|Responsible AI and the challenge of AI risk||KPMG||2023||Opportunities and challenges, Risk and compliance, Applications and use cases||Predictive Analytics, Risk Management, Data Integrity, AI Ecosystem||Link||Medium||This report sheds light on executives executives across multiple sectors of risks associated with AI and predictive analytics models and the challenges they face in addressing them.||March 2023||Shivam Batra, Radhika Goel, Sandeep Sharma, and Pratham Singh|
|2023 Global Trends in AI Report||Weka||2023||Opportunities and challenges, Industry trends, Applications and use cases||Data Management, Public Cloud Deployment, Sustainability Initiatives, High-Performance Computing (HPC), Corporate Sustainability Goals (CSGs), AI/ML Adoption Status, Carbon Footprint, Data Architecture||Link||High||The Global Trends in AI Report examines the state of AI adoption in 2023 and delivers key data-driven insights on likely developments.||August 2023||Nick Patience, David Immerman|
|Global Views On A.I. 2023||Ipsos||2023||Opportunities and challenges, Workforce impacts, Applications and use cases||Public Perception, Trust in AI, Demographic Differences, Regional Variations||Link||||The report discusses how people across the world feel about artificial intelligence and expect it will impact their life||July 2023||Ipsos|
|AI Trends Report: Industry Impact of Artificial Intelligence||BofA Global Research||2023||Opportunities and challenges, Workforce impacts, Applications and use cases||ChatGPT, Healthcare, STEM Jobs, Machine Learning, Industrial Revolution||Link||High||The report identifies AI as a driving force in the fifth industrial revolution, emphasising its role in analyzing the exponentially growing global data. Key AI technologies like machine learning, deep learning, and natural language processing are highlighted.||March 2023||BofA Global Research|
|Is the AI buzz creating too much noise for CEOs to cut through?||EY||2023||Opportunities and challenges, Workforce impacts, Risk and compliance||Strategic AI Implementation Risk Management, Workforce Restructuring, M&A||Link||Medium||The report aims to provide valuable insights on the main trends and developments impacting the world’s leading companies as well as business leaders’ expectations for future growth and long-term value creation.||October 2023||Andrea Guerzoni, Nadine Mirchandani, Barry Perkins,|
|Generative AI 2023 Report||AI Accelerator Institute||2023||Opportunities and challenges, Applications and use cases||Machine Learning, Neural Networks, Content Creation, Deep Learning Technologies||Link||||This report highlights the ‘why’ behind company adoption of generative AI, and the ‘why not’. It delves into the benefits and the challenges of using these tools, offering an overview of the reasoning behind integrating them into business.||2023||AI Accelerator Institute|
|2023 Generative AI in the Enterprise Report||O’Reilly||2023||Opportunities and challenges, Workforce impacts, Applications and use cases||Adoption Rate, AI Literacy, Workforce Training||Link||||The Generative AI in the Enterprise report explores how companies use generative AI, the bottlenecks holding back adoption, and the skills gaps that should be addressed to move these technologies forward.||November 2023||Mike Loukides|
|Enterprise Generative AI adoption||AI Infrastructure Alliance||2023||Opportunities and challenges, Applications and use cases, Risk and compliance||Large Language Models (LLMs), Off-the-Shelf Models, Industrialised AI||Link||||AIIA surveyed over 1000 companies with more than 1B USD in revenue to see how fast they’re adopting generative AI and what their challenges are as they embrace these powerful new systems.||August 2023||AI Infrastructure Alliance|
|Generative AI: From buzz to business value||KPMG||2023||Opportunities and challenges, Applications and use cases, Risk and compliance||Talent Development, Cybersecurity, Data Privacy, Innovation and Customer Engagement||Link||High||An exclusive KPMG survey shows how top leaders are approaching this transformative technology||May 2023||Todd Lohr. Elliot Brook, Steve Chase, Sreekar Krishna, Ph.D, Mark Shank, Per Edin, Bryan McGowan, Emily Frolick|
|Game changer: The startling power generative AI is bringing to software development||KPMG||2023||Opportunities and challenges, Workforce impacts, Risk and compliance||Code Translation, Debugging Acceleration, Intellectual Property||Link||Medium||KPMG's latest report predicts that software development is on the verge of a dramatic leap thanks to generative AI.||2023||KPMG|
|The Cultural Benefits of Artificial Intelligence in the Enterprise||MIT Sloan Management Review||2021||Opportunities and challenges, Workforce impacts, Applications and use cases||Organisational Culture, AI Adoption||Link||||The report explores the cultural benefits of artificial intelligence in enterprises, highlighting how AI enhances organizational effectiveness and strengthens team and enterprise cultures.||November 2021||Sam Ransbotham, François Candelon, David Kiron, Burt LaFountain, and Shervin Khodabandeh|
|Artificial Intelligence: Ready to Ride the Wave?||BCG||2021||Opportunities and challenges, Workforce impacts, Risk and compliance||AI Ethics, Talent Shortages, Ecosystem, AI Governance||Link||||December 2021||BCG|
|A new era of generative AI for everyone||Accenture||2023||Opportunities and challenges, Workforce impacts, Applications and use cases||Large Language Models (LLMs), Responsible AI||Link||High||The report discusses the transformative power of generative AI and the actions companies need to take to capitalize on the capabilities this technology can build for your business.||March 2023||Paul Daugherty, Bhaskar Ghosh, Karthik Narain, Lan Guan, Jim Wilson|
Understanding the Industry Report Score
The Industry report score based on their relevance, applicability, and potential impact for professionals within a specific sector. This scoring system is designed to help industry leaders and professionals quickly identify and prioritise reports that provide actionable insights for informed decision-making. The Report Industry Score is further categorised into high, medium, and low scores to provide a quick and effective means of evaluation.
Note: This scoring is initially an internal tool for CFTE’s course and presentation creation, it is now public for others’ potential use. However, it is first and foremost an internal tool and users should be mindful of its inherent limitations.
- Exceptionally actionable insights
- Well-presented information that is easily understandable
- Comprehensive and in-depth analyses for decision making
- Actionable insights, less universally applicable
- Professionals may need discretion in applying insights to their contexts
- May lack clarity or lack practical takeaways
- Less beneficial for making informed decisions or shaping strategies
Name of Report: This field indicates the name for the specific report being referenced.
Publishing Organisation: The entity or institution responsible for producing and releasing the report.
Type of Topic: The filed describes the primary focus or themes of the report. The topics are categorised into: Industry trends, Opportunities and challenges, Applications and use cases, Risk and compliance, Workforce impact.
Publication Year: The field indicates the year in which the report was officially published.
Summary and Key Insights: Overview of the report’s main findings and significant insights.
Subject Terms: This field focuses on the essential terms related to the report’s content.
Overview of the Report: Provides a summary description of the report.
Authors: Lists the individuals or group responsible for authoring the report, providing attribution to those who contributed to its creation.
What is AI?
Artificial Intelligence can be defined as the science of training machines to perform human tasks. AI is the method of developing computer systems to emulate human intelligence and is also the engineering behind giving machines human-like properties.
What is Generative AI?
Generative AI, emerged from Machine Learning in the early 21st century, encompasses a category of algorithms to generate new data. It can produce various types of content, including text, imagery, audio, etc. The last evolution in Generative AI has been leveraging advances in Deep Learning and Natural Language Processing (NLP).
Is this a comprehensive list?
While our AI and Generative AI Reports Digital Library provides valuable insights, it’s important to note that it’s not an exhaustive list by any means. We actively update our library to stay current, and we welcome your input to enhance its accuracy. If there are companies or reports we’ve missed or if you come across any inaccuracies, please do not hesitate to bring them to our attention. Thanks a lot for your help!
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