In my research, I’ve observed that we are moving past "narrow AI" into the era of **Agentic AI**...
As an AI Researcher and Engineer deeply embedded in the development of **Agentic Frameworks** and Large Language Models (LLMs) here in Bengaluru, I see the velocity of innovation every single day. However, a jarring disconnect exists between the laboratory and the legislature. A recent report from [The New York Times](https://news.google.com/rss/articles/CBMiiwFBVV95cUxQNkI5d1Foa1h5VW1uVHROOEFfcVNGa2VMNFdJX2xyalo5QmsyN3ZxbWNqOFF5WldLeFVqZVE3VkM4REFxWExkdVU1QTRJWlc5Y3VMa1UzMG8yRGZCdnpGLXdpV2FpYmNkNWdNNjFlNzBGeWJtSTFwazM0dWcxNTdvZVhjcXRUMlNsaXN3?oc=5) highlights a sobering reality: Congress is doing remarkably little to prepare the workforce for the impending wave of AI-driven job displacement.
## The Technical Reality: Beyond Simple Automation
In my research, I’ve observed that we are moving past "narrow AI" into the era of **Agentic AI**. Unlike traditional automation, these systems don't just follow scripts; they reason, plan, and execute multi-step workflows. When we combine these with the potential of **Quantum AI** to optimize complex supply chains, the efficiency gains are exponential—but so is the risk to traditional employment structures.
### Why Policy is Lagging
The legislative process is inherently iterative and slow, while AI development follows a Moore’s Law-style trajectory on steroids. From my perspective as a Lead Generative AI Engineer, the primary concerns include:
* **The Scalability of Agentic Workflows:** Autonomous agents can now handle cognitive tasks that were previously thought to be "AI-proof."
* **Skill Obsolescence:** The "half-life" of technical skills is shrinking. Without a federal roadmap for reskilling, we face a massive structural unemployment crisis.
* **The Economic Singularity:** We are approaching a point where the cost of intelligence (via LLMs) is dropping toward zero, disrupting every sector from software development to legal services.
## A Call for Proactive Governance
We cannot solve 21st-century disruptions with 20th-century policies. My work in Bengaluru focuses on building robust, ethical AI, but technical guardrails are only half the battle. We need a "Policy API"—a way for legislators to interface with the rapid advancements in the AI ecosystem to create adaptive safety nets.
Congress must move beyond hearings and toward actionable frameworks that address universal basic income (UBI), aggressive reskilling programs, and tax incentives for "human-in-the-loop" AI integration. The window for proactive preparation is closing; it is time for the law to catch up with the code.
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Keywords: [AI job losses, Agentic Frameworks, Generative AI Engineering, Harisha P C, AI Policy, LLM automation, Bengaluru AI Research, Quantum AI