Lastly, the outlook on digital taxation will be heavily influenced by decisions at the WTO and within the OECD/G20 framework, requiring multinational corporations to stay vigilant for shifts in global taxation and digital tariff regimes.
GenAI integration in business: Expect the unexpected
Goutam Challagalla, Professor of Strategy and Marketing at IMD
Amid the hype surrounding GenAI, a surge in investments is expected in 2024. However, most large firms, aside from tech groups, are making cautious investments. Scaling GenAI will be easy for simple routine tasks – e.g., routine legal contracts, but it is proving to be more challenging than expected for more complex tasks, due to data capability limitations. Firms that have invested in traditional AI will find it easier to make the leap, but embracing GenAI requires a holistic commitment of time, effort, and money to reshape work processes.
Adding complexity, the tightening regulatory landscape will require businesses to navigate not only technical challenges but also evolving compliance requirements. As regulatory landscapes toughen, firms must weigh their willingness to stay the course against the promise of future productivity gains. And most digital processes provide gains only when they operate at scale. Until then, they are a money drain.
GenAI: Reshaping learning and work dynamics
Sarah Toms, Chief Learning Innovation Officer at IMD
Generative AI’s impact extends beyond technology, shaping how we learn, work, and innovate. In 2024, these intelligent systems will further personalize learning experiences, optimizing knowledge acquisition for individuals. In the workforce, GenAI will continue to automate routine tasks and contribute to higher-order functions like coding and research, redefining productivity.
Efforts to address biases in GenAI systems, already underway, will accelerate, ensuring fair decision-making. Major enterprises integrating GenAI will gain a competitive edge, reshaping the business landscape, and regulatory frameworks, particularly in the EU, should adapt to balance risk aversion with promoting innovation. Adapting to biases, market dynamics, and evolving regulations is crucial to unlock GenAI’s full potential.