Exploring opportunities in the gen AI value chain

Recent breakthroughs in the field, such as GPT (Generative Pre-trained Transformer) and Midjourney, have significantly advanced the capabilities of GenAI. These advancements have opened up new possibilities for using GenAI to solve complex problems, create art, and even assist in scientific research. The media and entertainment industry heavily relies on visual content, including movies, TV shows, video games, virtual reality (VR), and augmented reality (AR) experiences. Generative AI techniques, such as image and video generation, can play a crucial role in creating visually stunning and realistic content. These techniques enable the generation of computer-generated graphics, special effects, virtual environments, and characters, enhancing the overall visual experience for audiences.

These include managing the risks inherent in generative AI, determining what new skills and capabilities the workforce will need, and rethinking core business processes such as retraining and developing new skills. The latest generative AI applications can perform a range of routine tasks, such as the reorganization and classification of data. But it is their ability to write text, compose music, and create digital art that has garnered headlines and persuaded consumers and households to experiment on their own. As a result, a broader set of stakeholders are grappling with generative AI’s impact on business and society but without much context to help them make sense of it. Given the cost to train and maintain foundation models, enterprises will have to make choices on how they incorporate and deploy them for their use cases. There are considerations specific to use cases and decision points around cost, effort, data privacy, intellectual property and security.

Demystifying Generative AI

As an example of how this might play out in a specific occupation, consider postsecondary English language and literature teachers, whose detailed work activities include preparing tests and evaluating student work. With generative AI’s enhanced natural-language capabilities, more of these activities could be done by machines, perhaps initially to create a first draft that is edited by teachers but perhaps eventually with far less human editing required. This could free up time for these teachers to spend more time on other work activities, such as guiding class discussions or tutoring students who need extra assistance.

This can lead to improved patient care, early detection of diseases, and better treatment planning. The report has provided a detailed breakup and analysis of the market based on the offering type. Meanwhile, one-fourth of generative AI funding since Q3’22 has gone to cross-industry generative AI applications, which include text and visual media generation, as well as generative interfaces. The rapid emergence of generative AI — AI technologies that generate entirely new content, from lines of code to images to human-like speech — has spurred a feeding frenzy among startups and investors alike. The report analyzes driving factors, opportunities, restraints, and challenges for gaining critical insight into the market.

Recent Developments:

They are also investing in research and development efforts to improve image and video synthesis, enabling applications such as virtual reality, gaming, content creation, and special effects. Besides this, various key players are focused on making generative AI more accessible to a broader range of users. They are developing user-friendly tools, platforms, and APIs that enable developers, researchers, and businesses to leverage generative AI capabilities. Moreover, they are engaging in partnerships and mergers and acquisitions to strengthen their foothold in the market.

Furthermore, the market has attracted significant investments and funding from both established companies and venture capitalists. This influx of capital has accelerated research, development, and commercialization efforts, further creating a favorable market outlook across the globe. The region is home to some of the world’s fastest-growing economies and has witnessed significant advancements in AI technologies, including Generative AI. Asia Pacific is a hub for AI startups and innovative companies focusing on AI technology. These startups are developing cutting-edge AI solutions, including generative adversarial networks (GANs), deep learning models, and creative AI platforms.

A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

Yet while the use of gen AI might spur the adoption of other AI tools, we see few meaningful increases in organizations’ adoption of these technologies. The percent of organizations adopting any AI tools has held steady since 2022, and adoption remains concentrated within a small number of business functions. Previous waves of automation technology mostly affected physical work activities, but gen AI is likely to have the biggest impact on knowledge work—especially activities involving decision making and collaboration. Professionals in fields such as education, law, technology, and the arts are likely to see parts of their jobs automated sooner than previously expected.

Premium Digital includes access to our premier business column, Lex, as well as 15 curated newsletters covering key business themes with original, in-depth reporting. Middle East & Africa and South America are in a growing phase owing to digital transformation initiatives across the sector, including healthcare, finance, energy, and manufacturing, all contributing to the region’s growth. Several cities in the MEA region, such as Dubai and Johannesburg, are actively pursuing smart city initiatives. It plays a role in smart city applications, including security systems and urban planning. European governments have recognized AI’s potential and launched initiatives to support its development and adoption. Funding programs, policy frameworks, and research grants have facilitated the growth of the European market.

Segment: Acceptance

In countries such as China, India, and Mexico, where wage rates are lower, automation adoption is modeled to arrive more slowly than in higher-wage countries (Exhibit 9). Pharma companies that have used this approach have reported high success rates in clinical trials for the top five indications recommended by a foundation model for a tested drug. This success has allowed these drugs to progress genrative ai smoothly into Phase 3 trials, significantly accelerating the drug development process. Across the 63 use cases we analyzed, generative AI has the potential to generate $2.6 trillion to $4.4 trillion in value across industries. Its precise impact will depend on a variety of factors, such as the mix and importance of different functions, as well as the scale of an industry’s revenue (Exhibit 4).

Europe has a vibrant startup ecosystem, with numerous AI startups focusing on Generative AI solutions. These startups drive innovations, bring new ideas to the market, and contribute to the industry’s growth. AI developers frequently use generative AI to create game environments and new virtual worlds. It enables virtual reality (VR) developers to create a boundless library of exclusive and immersive game environments.

Work and productivity implications

Entos, a biotech pharmaceutical company, has paired generative AI with automated synthetic development tools to design small-molecule therapeutics. But the same principles can be applied to the design of many other products, including larger-scale physical products and electrical circuits, among others. To grasp what lies ahead requires an understanding of the breakthroughs that have enabled the rise of generative AI, which were decades in the making.

• Current trends in generative AI include the development of midjourney models, which aim to bridge the gap between pretrained models like GPT-3 and fully customized models.
• Healthcare providers and organizations are working with AI specialist companies, positively impacting market growth.
• Such strategic developments and advancements started by key players are expected to fuel the growth of the market.
• The arrival of generative AI in the fall of 2022 was the most recent example of this phenomenon, due to its unexpectedly rapid adoption as well as the ensuing scramble among companies and consumers to deploy, integrate, and play with it.
• Technology has played an essential role in the retail and CPG industries for decades.