This episode dives into KPMG's recent survey on generative AI, revealing that 68% of leaders plan to invest significantly in AI over the next year. A majority are exploring or piloting AI agents, though deployment remains low. The discussion highlights key challenges for 2025, including data quality, privacy, and employee adoption, with leaders expressing concern over organizational readiness. The episode captures the excitement and hurdles organizations face as they scale AI initiatives.
A significant majority of leaders, 68%, plan to invest between $50-$250 million in generative AI over the next year, signifying strong organizational commitment.
Despite the optimistic outlook on AI's potential, 85% of leaders identify data quality as the biggest hurdle to effective AI strategy implementation by 2025.
Deep dives
AI Agents on the Rise
A significant trend in large organizations involves the exploration and piloting of AI agents, with 51% of companies currently investigating their use and 37% actively running pilot programs. However, despite the interest, only 12% of surveyed organizations have fully deployed AI agents. The most common application of these agents is in analyzing complex data sets, with 70% already utilizing them for this purpose. Other promising use cases include integrating AI agents into call centers and handling administrative tasks, indicating that while many organizations are interested in the technology, they are still in the early stages of implementation.
Optimism Surrounding Generative AI
Leadership within large firms demonstrates a strong optimistic outlook regarding the impact of generative AI on their operations. In the survey, 70% of leaders believe that AI will enhance their business performance, with 56% anticipating significant transformations in their organizations. This optimism is also reflected in a two-year projection, where 91% of respondents expect positive outcomes from AI implementation. Key factors influencing AI strategies include macroeconomic conditions and the potential for new revenue opportunities, emphasizing a wide acceptance of AI's transformative potential.
Investment and Challenges Ahead
Organizations are planning substantial investments in generative AI, with 68% of leaders intending to allocate between $50 million and $250 million over the next year. Despite this financial commitment, challenges such as data quality, employee adoption, and risk management concerns remain prevalent. The survey indicates that 85% of respondents foresee data quality as a significant barrier to their AI strategies. Overall, while investments are rising, organizations must navigate these challenges to successfully harness AI’s capabilities and achieve a return on their investments.
1.
Exploring the Landscape of Generative AI in Enterprises
NLW presents a special episode recapping some of the most interesting findings from KPMG's Q4 AI Pulse Survey, including:
68% of leaders will invest between $50-$250 million in GenAI over the next 12 months, up from 45% in Q1 of 2024.
Over half (51%) of organizations are exploring the use of AI agents and another 37% are piloting AI agents. Currently, only 12% of respondents have deployed AI agents for use.
Quality of organizational data is the biggest anticipated challenge to AI strategies in 2025, according to the vast majority of leaders (85%) followed by data privacy and cybersecurity (71%) and employee adoption (46%).
The Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.
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