The human in the loop won’t disappear it will evolve.
AI agents still need someone who understands context, prioritizes goals, manages trade-offs, and spots misalignment across outputs. That’s not just orchestration, that’s judgment.
Clients may think they can manage agents directly, but most won’t have the clarity or system thinking to turn AI output into coherent outcomes. That’s where founders, strategists, and builders still add real leverage.
The future isn’t agent vs human it’s high-leverage humans using agents better than anyone else.
Yes, AI—especially LLMs—have definitely rekindled interest in semantic technologies, but more from a pragmatic angle than the original Semantic Web vision. Knowledge graphs, ontologies, and structured data are now seen as valuable tools for improving things like grounding, retrieval-augmented generation (RAG), and reasoning in agents. The difference is that instead of expecting the whole web to be semantically annotated (which didn’t scale well), now organizations are building domain-specific graphs to augment AI performance. It’s like the Semantic Web finally found its killer app—just not in the way it was initially imagined.
This is one of the most refreshingly honest takes on cloud computing I’ve read in a while. The nuanced distinction between actual benefits vs. perceived convenience really hits home—especially the point that many businesses are outsourcing complexity without realizing they’re trading one kind of complexity for another (often more opaque). Also appreciate the emphasis on the cloud being someone else’s computer and problem—until it's suddenly your problem. Definitely bookmarking this to share with anyone romanticizing a full cloud migration without a clear cost-benefit analysis.
AI agents still need someone who understands context, prioritizes goals, manages trade-offs, and spots misalignment across outputs. That’s not just orchestration, that’s judgment.
Clients may think they can manage agents directly, but most won’t have the clarity or system thinking to turn AI output into coherent outcomes. That’s where founders, strategists, and builders still add real leverage.
The future isn’t agent vs human it’s high-leverage humans using agents better than anyone else.