AI in Action Beyond Experimentation to Transform Industry 2025

Executive summary Artificial intelligence (AI) is advancing at a rapid pace, fuelled by significant developments in computing power, data availability and sophisticated algorithms in areas like natural language processing (NLP), computer vision and generative AI (genAI). These advancements position AI technologies as one of today’s most transformative technologies, with the potential to reshape industries and society by automating complex tasks at scale, enhancing conceptualized decision-making and enabling increasingly personalized capabilities. While analytical AI has been widely adopted across industries, genAI remains in its early stages of adoption. Although many organizations have experimented with AI through pilots and proofs of concept, scaling these efforts to achieve sustained and transformative impact continues to be a significant challenge. This paper provides a comprehensive analysis of the impacts of emerging AI technologies – including genAI and agentic AI (AI that perceives its environment through sensors and acts on it through effectors) – on industries. Using investment and existing surveys to understand adoption, some industries are leading in overall AI adoption while others are slower to start but accelerating significantly. The leading adopters, dependent on human expertise, benefit from genAI’s ability to generate content, insights and solutions that boost productivity and decision- making. While some past technological revolutions have primarily been focused on transforming manufacturing through automation, AI is set to revolutionize all knowledge-driven fields, altering how tasks are performed and who performs them and redefining value creation across ecosystems. This is transforming how industries function and adapt within evolving ecosystems, reshaping value distribution and capture further influenced by the emergence of new intermediaries and the displacement of traditional ones. Advancing AI adoption requires strong enablers at both the industry and company level, including: –Ecosystem: creating collaborative environments where knowledge-sharing, responsible innovation and alignment on ethical standards for AI development thrive  –Trust: ensuring AI-driven processes function as intended while addressing concerns about accuracy, reliability and fairness, with accountability upheld throughout development and adoption –Self-governance: establishing and implementing internal standards aligned with ethical principles, prioritizing transparency and accountability –Talent and organization: strategizing reskilling and upskilling initiatives to empower employees to work effectively alongside AI, with an emphasis on human oversight –Cybersecurity: developing robust defences to protect AI systems, data and privacy, maintaining user and consumer trust –Digital core: building a strong digital core with secure data, connected systems, automated maintenance and an open architecture for flexibility and scalability With these enablers in place, it is possible to think beyond narrow cost reduction and efficiencies to unlock AI’s full potential. With the rapid development and investment in AI, organizations can greatly benefit by sharing insights and learning from one another’s successes and challenges, creating a collaborative environment that accelerates growth and powers innovation. To stimulate the development and prioritization of AI applications that drive both societal progress and business value, this report introduces a framework outlining imperatives for responsible and transformative AI adoption, focusing on impactful, novel, scalable and ethical practices.Emerging AI technologies have immense potential to transform industries; scaling efforts require a new mindset and foundational enablers. AI Governance Alliance: Transformation of Industries in the Age of AI 5