In the age of generative AI, success for leaders depends more on organizational transformation and leadership skills than on the technology itself. Many companies highlight AI in their reports but remain uncertain about its benefits and risks, with employee fears and organizational misalignments hindering potential gains.
Despite being a top IT priority for many companies, a Boston Consulting Group poll reveals that a majority of C-suite executives are ambivalent or dissatisfied with their organization's progress on Generative AI (GenAI), citing talent shortages, unclear roadmaps, and a lack of strategy for responsible deployment. While GenAI is still seen as a priority, skepticism remains high, with concerns about productivity gains and worries over potential bad or illegal decision-making and data security compromises.
Despite a decline in the number of drilling rigs, US crude oil production reached a record high in August 2023, driven by productivity gains and more efficient operations. Exploration and production companies are drilling longer lateral wells and focusing on promising areas to maximize output. Texas, the top oil-producing state, achieved a record-high production of 5.7 million barrels per day. The US shale industry is prioritizing capital and operational efficiency to demonstrate measured growth and higher returns to investors. Despite a decrease in rig count, shale firms are producing more oil and gas, exceeding earlier projections. The Energy Information Administration expects US crude oil production to continue growing, with increased rig activity anticipated in 2024.
AI has the potential to leapfrog legacy technologies in industries that have not yet fully embraced SaaS. Agriculture, hospitality, education, legal, construction, and manufacturing are among the industries that are primed for AI leapfrogging. Generative AI can provide a push-button solution that reduces the burden of digitization and enhances the value proposition, making it easier for non-transactors to adopt. The advantages of AI leapfrogging include delivering instant value, reducing switching costs, and creating defensibilities for long-term growth.
Goldman Sachs predicts that the S&P 500 is undervalued due to the adoption of new artificial intelligence technology in corporate America. The widespread adoption of AI is expected to lift trend real GDP growth by 1.1 percentage point for 10 years, resulting in an 11% increase in earnings per share in 20 years and a 9% increase in the S&P 500 fair value. However, the benefit to S&P 500 fair value could be as small as +5% or as large as +14% due to the uncertainty around the potential productivity boost. Nvidia's recent outlook reflects a fundamental shift to accelerated computing, placing Nvidia's chips that power generative AI in high demand.