Stanford economist Erik Brynjolfsson reveals where we stand on the J-curve, how leaders can accelerate progress and create new value, and what gives him hope—and keeps him up at night.

Sai Jasti, Bayer’s senior vice president and head of data science and AI, on how the company is transforming its workflows and embedding AI in research and development to meet ambitious productivity goals.

Overcoming scale-related barriers and strengthening ties with other firms—both large and small—can help small businesses in Chile maximize their potential and narrow the productivity gap.

Sriram Madapusi Vasudevan discusses industry-converging patterns for securing autonomous AI agents in production. He explains the critical vulnerabilities hidden inside the ReAct loop across...

Private equity–backed companies that broadly embrace AI have median revenue multiples more than twice those of companies focused solely on productivity initiatives.

Bold moves to redefine growth in Germany.

Sepehr Khosravi discusses the evolution of developer productivity tools. Evaluating the strengths of tools like Cursor and Claude Code, he explains actionable techniques for senior engineers -...

The AI productivity paradox states that AI scales whatever abstraction it is built on. If that abstraction is structurally brittle, it scales structural brittleness. This article shows how, to...

Amit Navindgi discusses the systematic shift at Zoox from fragmented documentation to an AI-driven ecosystem. He explains how they built "Cortex," a secure platform integrating RAG, multi-modal...

Sepehr Khosravi discusses the current state of AI-assisted coding, moving beyond basic autocompletion to sophisticated agentic workflows. He explains the technical nuances of Cursor’s "Composer"...

欧洲的建筑业和制造业面临着三重挑战：劳动力短缺、生产率低下、住房压力大。揭秘Productivity Software Group如何借助虚幻引擎驱动实时配置器，重塑产品设计交付新范式。

Using a multipronged approach, chief risk officers can get a better grip on risk and build the strategic risk function of the future.

New research from the World Economic Forum and McKinsey shows how AI could unlock productivity-led growth in Latin America if leaders move decisively from experimentation to execution.

For tech investments to pay off in higher frontline productivity, workers will need new skills. That means investing in human capabilities before deploying AI widely.

The good news is that the world is richer than ever, with $600 trillion in wealth. The bad news is that it is out of financial balance, write Jan Mischke, Olivia White, and Rebecca J. Anderson in Fortune.

The overarching goal is to maximize the return on analytical talent, shifting their focus entirely from data preparation to predictive model development, which is a necessary move if the business...

Amid a shifting global landscape, Latin America can capitalize on its competitive strengths and assets to jump-start productivity and unlock its full potential.

AI holds the power to accelerate innovation in R&D, but realizing its potential will demand that organizations rethink how they work and overcome the barriers to adoption.