REPORT • INTERNATIONAL VIEW AI, digitalization and technology – where do we go? Peter Emmi, Reed Smith LLP 1. Introduction Artificial Intelligence (AI) is at the cutting edge of technological innovation, poised to revolutionize various industries and our daily lives. Recent advan- cements in machine learning, neural networks, and data analytics have propelled AI forward, enabling systems to process vast amounts of data, identify patterns, and make decisions with minimal human intervention. Today, generative AI applications span video, image, audio, text, and code, impacting sectors like healthcare, finance, manufacturing, gaming, and more. Machine learning and neural networks form the backbone of AI, allowing systems to learn from data and improve over time. These technologies have led to breakthroughs in image and speech recog- nition, natural language processing, and predictive analytics, driving innovation across multiple indus- tries. Big data plays a crucial role, providing the raw material for AI systems to generate insights and enhance decision-making processes. Advances in computational power and cloud com- puting have further accelerated AI’s capabilities, enabling complex tasks to be performed with unprecedented accuracy and speed. This has given rise to applications such as autonomous vehicles, real-time language translation, and sophisticated diagnostic tools in healthcare. AI’s transformative impact is evident across various sectors. In healthcare, AI enhances diagnostics, treatment planning, and patient care. AI-powered systems analyze medical images, detect early signs of diseases, and suggest personalized treat- ments. Predictive analytics help manage healthcare resources and track disease outbreaks, while AI expedites drug discovery and develops individua- lized treatment plans. In finance, AI improves fraud detection, risk management, and algorithmic trad- ing. Systems monitor transactions for suspicious activities, assess credit risks, and execute trades at optimal times. Robo-advisors provide automated financial planning services, optimizing investments based on individual goals and market data. In transportation, AI optimizes logistics, reduces delivery times, and cuts costs. Autonomous vehic- les and aircraft rely on AI for navigation and real- time decision-making, enhancing safety and efficiency. Generative AI powers applications for creating new content mimicking existing patterns, text genera- tion models, and automated customer service and translation. Image and video generation, facilitated by Generative Adversarial Networks (GANs), allows creation of realistic images and videos for adverti- sing, entertainment, 3-D image generation, art, high-resolution image regeneration, advanced surveillance capabilities, automated music genera- tion and personalized media experiences. Overall, the AI sector has seen remarkable growth in 2024. Q2 2024 set a record with $23.28 billion in global AI investments - a 59% increase quarter- over-quarter. The number of deals that quarter climbed to 948 - up 16% from the previous quarter, and the average deal size increased to $28.9 mil- lion. Six new AI unicorns emerged, focusing on generative AI applications and infrastructure. The US leads in AI funding, securing $15.2 billion across 476 deals and representing 66% of global funding. 12 Vol. 35 • M&A REVIEW 2024 • PEMACOM 2024