The evolution of 'agentic AI' extends beyond content generation to automating the connective tissue of business operations. Its future value is in initiating workflows that span departments, such as kickstarting creative briefs for marketing, creating product backlogs from feedback, and generating service tickets, streamlining operational handoffs.

The biggest opportunity for AI isn't just automating existing human work, but tackling the vast number of valuable tasks that were never done because they were economically inviable. AI and agents thrive on low-cost, high-consistency tasks that were too tedious or expensive for humans, creating entirely new value.

Forget abstract definitions. AGI will have arrived when an agent is so effective at continuously generating value—actively performing tasks without needing to be re-prompted—that it makes economic sense to keep it running 24/7. It's a pragmatic, economic benchmark for its arrival.

Early AI adoption focused on saving time. The new wave, driven by agentic systems, derives its primary value from enabling completely new functions and significantly increasing throughput, representing a move from efficiency to opportunity-focused ROI.

Obsessing over linear model benchmarks is becoming obsolete, akin to comparing dial-up speeds. The real value and locus of competition is moving to the "agentic layer." Future performance will be measured by the ability to orchestrate tools, memory, and sub-agents to create complex outcomes, not just generate high-quality token responses.

The 'call and response' nature of large language models (LLMs) is not truly revolutionary for workflows. The significant shift comes from agentic AI, which can connect to various systems and execute multi-step tasks. This moves AI from a content generator to a powerful workflow automation tool.

The most significant value from AI is not in automating existing tasks, but in performing work that was previously too costly or complex for an organization to attempt. This creates entirely new capabilities, like analyzing every single purchase order for hidden patterns, thereby unlocking new enterprise value.

The current heightened, polarized discourse around AI is characteristic of a new phase, moving beyond the initial 'ChatGPT moment' of pure capability. This 'second moment' is defined by the emergence of workable AI agents that can take action, raising the economic stakes, increasing political volatility, and making the technology's impact feel more immediate.

The next wave of AI is 'agentic,' meaning it can control a computer to execute commands and complete tasks, not just generate responses to prompts. This profound shift automates workflows like coding and administrative tasks, freeing humans for high-level creative and strategic work.