AI, economics and work
31 notes, newest first. Includes the vault tags economics, finance, labor, marketing.
You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference
The preprint argues that open-weight inference routing must choose both a model and the provider serving it. Across live endpoints, models, task types, and three measurement waves, it reports that the same model can…
Learning the Cost of Reliable Inference
The paper proposes a procurement platform where model providers compete on task-level token prices through a reverse second-price auction. The platform learns provider quality and routes requests to a cost-competitive…
How workers are unlocking new ways of working
OpenAI reports an analysis of more than 1.5 million work-related ChatGPT messages from April through July 2026. In a sample of roughly 6,200 workers observed consistently, the share of occupation-specific AI activity…
Amazon Quick for Microsoft 365: Agentic AI where you work
AWS announced general availability of Amazon Quick extensions for Word, Excel, PowerPoint, and Outlook, adding AI features that can act inside documents (not just answer questions), for existing Quick customers on paid…
Smart Routing in Unity AI Gateway: Match frontier quality with 30%+ lower cost per task
Databricks announced a "Smart Routing" feature in Unity AI Gateway that automatically picks which AI model handles a coding task based on task complexity, claiming lower cost at similar quality versus always using a…
V-FiLLM: Verified Financial LLM Reasoning Benchmark
Researchers have created a new framework called V-FiLLM to evaluate the abilities of Language Models (LLMs) in financial reasoning using structured data. The framework generates questions from executable computation…
CARD: Controlled Agentic Reddit Discussions for Credit Card Simulation
The authors introduce a framework called CARD for generating realistic credit card discussion threads on online platforms, such as Reddit. The framework takes into account various factors like reply structure, comment…
Beyond Top-K: Replacing Black-Box Retrieval with Interpretable Agentic Operations
The authors propose a new method for document search called READ (Reliable Embedding-free Agentic Document-search). This method uses an interpretable agent that performs three operations: normalized lexical search…
Beyond Top-K: Replacing Black-Box Retrieval with Interpretable Agentic Operations
The paper proposes a new approach for document search called 'READ (Reliable Embedding-free Agentic Document-search)', which aims to address the issues with current black-box retrieval designs in handling long…
Beyond Top-K: Replacing Black-Box Retrieval with Interpretable Agentic Operations
The authors propose a new method for document search called Reliable Embedding-free Agentic Document-search (READ). In contrast to the common design of retrieval-augmented generation, READ uses an agent that reads the…
FinEvo-Bench: A Longitudinal Benchmark for Self-Evolving Agents in Professional Financial Workflows
Researchers have created a new benchmark for self-evolving agents in financial workflows called FinEvo-Bench. The benchmark includes 120 real-life tasks across six domains, with each task having a specific professional…
Investigating Artificial Intelligence Digital Sovereignty in Mobile Shopping Apps: A Case Study of Nigeria
The research investigates how Artificial Intelligence (AI) in Nigerian mobile shopping apps affects digital sovereignty, focusing on platform transparency as a key indicator of user awareness and control. The findings…
CACHE-UK: A Stability-Aware Memory Editor for Sequentially Updated Quantized LLMs in Finance
Researchers introduce CACHE-UK, a framework designed for efficiency and accuracy in deploying large language models (LLMs) in the dynamic field of finance. The system addresses the 'quantization stability crisis' that…
Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions
This research investigates the influence of Artificial Intelligence (AI) on the Innovative Ecosystem (IE), a new paradigm for economic integration and collaboration. The study analyzes AI's unique contributions to IE…
pAI-Econ-claude: A Gated Human-in-the-Loop Multi-Agent Architecture for AI-Assisted Economic Theory Development
A new multi-agent architecture, named pAI-Econ-claude, was proposed for AI-assisted economic theory development. This architecture uses a gated human-in-the-loop system to ensure reliability in tasks where no machine…
Formal Mechanisms for Market Stability in Self-Interested Agent Societies: A Marketplace Simulation Study
The researchers investigated mechanisms that can maintain market stability in a society of self-interested agents who tend to defect in repeated social dilemmas. They conducted a multi-agent marketplace simulation with…
Formal Mechanisms for Market Stability in Self-Interested Agent Societies: A Marketplace Simulation Study
The study investigates mechanisms to maintain market stability in societies of self-interested agents who tend to defect in repeated social dilemmas. The research uses a multi-agent marketplace simulation with 18 LLM…
Shared Infrastructure, Isolated Tenants: Pool Model Multi-Tenancy with Amazon Bedrock AgentCore
AWS demonstrates production-ready multi-tenant AI agent patterns using Bedrock AgentCore, illustrated through a healthcare use case serving multiple clinics and hospitals. The post covers pool model multi-tenancy with…
Introducing Mistral OCR 4
Mistral AI released OCR 4, a document intelligence model that extracts text and provides structural metadata: bounding boxes, block classification (titles, tables, equations, signatures), per-page/per-word confidence…
Build an AI Scientist for Life Science Discovery with NVIDIA BioNeMo Agent Toolkit
NVIDIA announced the BioNeMo Agent Toolkit for building autonomous AI scientists for life science discovery. The system can perform research tasks including paper analysis and hypothesis generation.
Boost Inference Performance up to 15x on NVIDIA Blackwell Using DFlash Speculative Decoding
NVIDIA announced DFlash Speculative Decoding, an inference optimization technique for Blackwell GPUs targeting multi-agent AI workloads. The claimed performance improvement is up to 15x on NVIDIA Blackwell hardware.
Scaling Laws for Task-Specific LLM Distillation
This paper presents empirical scaling laws for compressing Large Language Models (LLMs) in specific domains, focusing on quantitative finance as an application. The research explores different methods of distillation…
Building Pay-Per-Intelligence for AI Agents: How Ampersend Uses Amazon Bedrock AgentCore Payments
AWS describes how Ampersend implemented "pay-per-intelligence" billing for AI agents using Bedrock AgentCore Payments. Agents autonomously route tasks to optimal models and manage spending budgets through a payment…
How Telcos Build Autonomous Networks with Agentic AI
NVIDIA describes how telecommunications companies are implementing agentic AI across network operations and customer workflows to build autonomous network management systems.
Introducing Web Search on Amazon Bedrock AgentCore
AWS announced general availability of web search capabilities for Bedrock agents, with simplified integration for agent tool use.
Temporary Cloudflare Accounts for AI Agents
Cloudflare launched Temporary Accounts on Workers, allowing AI agents to deploy a live Worker in seconds via wrangler deploy --temporary. This enables ephemeral compute resources for agents without requiring persistent…
Amazon Bedrock AgentCore Harness Is Now Generally Available
AWS announced general availability of Amazon Bedrock AgentCore Harness, enabling simplified production-grade agent creation from minimal code. The announcement claims agents can be deployed "from idea to…
Bringing More Agent Harnesses and Frameworks to Cloudflare, Starting with Flue
Cloudflare opened its Agents SDK primitives to third-party frameworks, with Flue as the first framework integrated. Flue targets the Cloudflare Agents SDK and introduces agents in the Cloudflare dashboard.
Building an Open Ecosystem for AI Governance with Unity AI Gateway
Databricks introduced Unity AI Gateway, a governance infrastructure layer for AI deployment designed to support responsible AI deployment across organizations. It is framed as an "open ecosystem" for AI governance.
Introducing Genie One, Genie Agents, and Genie Ontology
Databricks announced Genie One (enterprise-context-aware AI assistant), Genie Agents (agentic extensions), and Genie Ontology, framing the system as a "data-intelligent colleague" for enterprise data workflows.
From Pixels to Planning: Earth AI for Nature Restoration
Google Research describes applying "Earth AI" technology to environmental restoration: using satellite imagery analysis and AI-powered planning to support nature restoration efforts.
