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MY TAKE: Semantics aside, “agentic AI” is already reshaping how we work, think, envision what’s next
- The article discusses technologist Stephen Klein's critique of the 'hype-as-a-service' business model surrounding agentic AI, highlighting the lack of true autonomy in current systems.
- While some criticize the overreach of AI branding, others acknowledge the meaningful impact of AI systems in reshaping work processes, such as in cybersecurity and other sectors.
- NTT Data's innovative use case showcases the evolution of AI agents with specific functionalities such as interpreting live video semantically and making real-time decisions.
- Dr. Hidenori Tanaka envisions AI agents with domain-specific personalities, emphasizing intentional design to shape human cognition through everyday interaction.
- The term 'agentic AI' gained popularity through thought leaders like Andrew Ng, framing AI systems with goal-seeking behavior and multi-step coordination.
- The article challenges the hard-line approach of academic purists, highlighting the gradient adoption of AI technologies that are reshaping work processes and decision-making.
- Despite not meeting all criteria of true autonomy, AI systems are enabling new forms of agency and transforming human-machine interactions.
- It emphasizes the importance of acknowledging the ongoing transformation facilitated by AI technologies, beyond semantic debates about definitions.
- The article concludes by recognizing the evolution of human-machine relationships and the need to define the future landscape of AI integration.
- It highlights the power of AI technologies in supporting workflows, insights, and decision models that were previously nonexistent, emphasizing a shift towards a new human-machine relationship.
- The author, Byron V. Acohido, asserts the significance of understanding the deeper transformation brought about by AI technologies and the early stages of human-machine interactions.
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