What’s Next for AI? Trends for 2025 and Beyond

curiosity to practical applications, with businesses increasingly experimenting with its capabilities. Shaun Johnson notes that the focus should be on understanding customer needs and the specific tasks AI can address within different industries. While AI's rapid experimentation accelerates development, Adrian Estala emphasizes that businesses lag in adoption due to a lack of governance frameworks, which hinders trust and integration. Nestor Maslej points out that while AI's potential is recognized, its application in businesses remains immature, with many organizations yet to develop a mature generative AI strategy. Despite these challenges, the technology's presence is undeniable, with 78% of businesses using AI in at least one function, according to McKinsey.

Technical Advancements and Challenges

The panelists discuss the debate over AI's rate of progress, with some skeptics arguing that recent advancements have not matched previous leaps in intelligence. Nestor Maslej disagrees, citing improvements in AI capabilities across various benchmarks. Shaun Johnson highlights the consensus-driven, task-oriented nature of current AI innovations, where human involvement remains essential. Adrian Estala adds that businesses can achieve significant impact by focusing on small-scale, targeted AI solutions, rather than waiting for comprehensive technological advancements. The conversation emphasizes the importance of practical, user-driven AI applications over purely technological progress.

The AI Value Chain and Enterprise Adoption

The maturity of the AI value chain remains a topic of discussion, with the AI stack described as noisy and immature. Shaun Johnson observes that many startups are vying to solve similar problems, leading to a crowded marketplace. Adrian Estala emphasizes the need for a well-defined AI stack that includes governance and orchestration components, which are crucial for reliable AI scaling. He notes that while individual components of the stack are becoming clearer, the overall integration remains a work in progress. For organizations, understanding how to effectively incorporate AI into their processes is seen as a critical step towards achieving meaningful business outcomes.

Societal Impact and Future Skills

AI's societal impact is increasingly evident, with governments and businesses recognizing its transformative potential. Nestor Maslej stresses the importance of AI fluency, where individuals understand AI's implications and can make informed decisions about its use. Adrian Estala echoes this sentiment, highlighting the need for business teams to articulate AI's value in business terms. As AI technology evolves, Shaun Johnson predicts that knowledge workers will need to broaden their skill sets, focusing on high-IQ tasks that require human intervention. The conversation also touches on AI's geopolitical dimensions, with countries around the world investing in AI to secure technological leadership.

Geopolitical Considerations and Global Impact

AI's geopolitical significance is highlighted by countries' strategic investments in AI technologies, aiming to secure a competitive edge. Nestor Maslej notes that while AI's technological advancements are notable, its integration into society will depend largely on public perception and acceptance. Adrian Estala suggests that AI could serve as a catalyst for international cooperation and addressing global challenges. The panelists agree that while AI presents numerous challenges, it also offers opportunities for collaboration and innovation on a global scale. As AI continues to evolve, its impact will be shaped by how societies choose to engage with and leverage its capabilities.