State of AI in Business 2025 [pdf] | Hacker News Reader

State of AI in Business 2025 [pdf]

nanda.media.mit.edu

hmph, they took it down replaced with "Email for access"

https://web.archive.org/web/20250818145714/https://nanda.med...

I'm getting a 404

"Despite $30–40 billion in enterprise investment into GenAI, this report uncovers a surprising result in that 95% of organizations are getting zero return. [...] The core barrier to scaling is not infrastructure, regulation, or talent. It is learning. Most GenAI systems do not retain feedback, adapt to context, or improve over time."

I can't take paper seriously when they have sentences like this:

> In an agentic web, systems will autonomously discover optimal vendors and evaluate solutions without human research, establish dynamic API integrations in real-time without pre-built connectors, execute trustless transactions through blockchain enabled smart contracts, and develop emergent workflows that self-optimize across multiple platforms and organizational boundaries. Early experiments show procurement agents identifying new suppliers and negotiating terms independently, customer service systems coordinating seamlessly across platforms, and content creation workflows spanning multiple providers with automated quality assurance and payment.

grok, summarize this for me

The authors (MIT's Project NANDA) are really pro-LLM, hoping to develop an "Internet of AI Agents." Unsurprisingly, their recommendations on how organizations should integrate LLMs involve embracing their NANDA platform:

> The window for crossing the GenAI Divide is rapidly closing. Enterprises are locking in learning-capable tools. Agentic AI and memory frameworks (like NANDA and MCP) will define which vendors help organizations cross the divide versus remain trapped on the wrong side ... The infrastructure to support this transition is emerging through frameworks like Model Context Protocol (MCP), Agent-to-Agent (A2A), and NANDA, which enable agent interoperability and coordination. These protocols create market competition and cost efficiencies by allowing specialized agents to work together rather than requiring monolithic systems.

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