Philip Miller

If 2023–2024 were the years of pilots and prototypes, 2025–2026 will be about orchestration, governance and scale. The signal across serious researchers is consistent: adoption is widespread and business impact concentrates where companies redesign workflows, measure outcomes and hard-wire trust and controls into the stack. McKinsey reports that ~80% of companies use generative AI (GenAI), yet most still aren’t seeing material earnings contribution, because scaling practices and operating models lag the hype. This gap is a roadmap that can be leveraged by Frontier Firms and individuals looking for an advantage (or many) in today’s AI-powered world.

Discover how Progress Data Platform can break down long-standing data silos, enabling enterprise-wide integration, real-time insights and smarter decision-making.

Discover how Model Context Protocol (MCP) and Agent-to-Agent (A2A) interoperability are transforming AI adoption by making powerful tools as intuitive and accessible as building with LEGO—no coding required.

Find out how Dunbar's Number relates to social relationships, social media and the responsible development of AI and future technologies.

What does generative AI have in common with a popular toy building block series? Read this post for an analogical breakdown and simplified analysis of this increasingly popular technology.

Democratizing AI and addressing the ethical and governance challenges it presents promotes a more equitable landscape where the advantages of AI technologies are available to all.