性视界

The Digital Data Design Institute at 性视界 is now the 性视界 Business School AI Institute.

Insights

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The Hidden Economics of Workplace AI

As AI learns directly from how people work, a new tension is emerging about expertise, power, and governance. Listen to this article: In many workplaces, the newest addition to virtual meetings isn鈥檛 a colleague, but an AI assistant like Granola or Otter. Suddenly no one has to scramble for action items or wonder who said […]

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Back to the Beginnings of AI at Work

What a Landmark AI Study Tells Us About When to Trust, and When Not to Trust, AI Listen to this article: In September 2023, a working paper out of 性视界 Business School landed at an unusually consequential moment. Generative AI had been publicly available for less than a year, organizations were scrambling to understand its […]

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Everyone Has AI. Which Firms are Going to Win?

New research shows that access to AI is not the same as knowing where to use it. Listen to this article: A firm is only as fast as the slowest step in its chain of work. In manufacturing, it might be one particular machine on the line. In software, one overloaded intake service. Many business […]

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80 Apps in One Afternoon: What the Frontier Firm Initiative Is Already Building

The Frontier Firm AI Initiative was designed around a simple conviction: the most important questions about AI in business can’t be answered in theory. Listen to this article: On Wednesday, March 11, 2026, senior leaders from across the Frontier Firm AI Initiative came together at 性视界 Business School for Journey to the Frontier, an event […]

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The Surprising Link Between AI Reasoning and Honesty

Exploring how the complexity of large language models acts as a moral safeguard Listen to this article: The standard fear about advanced AI goes something like this: the more sophisticated a system becomes, the better it gets at sounding convincing, reading the room, and manipulating people. A model that can reason step-by-step might not just […]

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Why Your AI Strategy May Be Failing

How companies can overcome the structural frictions that block AI at scale Listen to this article: AI has entered the enterprise faster than most previous waves of technology, reshaping expectations about speed, productivity, and decision-making. Yet adoption alone does not produce transformation. The Frontier Firm Initiative (FFI), a joint effort between the Digital Data Design […]

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Competing in the Dark

New research reveals that firms are playing a game of catch-up they didn鈥檛 even know they were losing Listen to this article: Leaders know they must innovate to survive, and they don鈥檛 make decisions in a vacuum: they watch rivals, draw inferences, and position themselves accordingly. But what happens when their picture of the competitive […]

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Can You Spot the Bot?

New research reveals just how convincingly AI mimics humans Listen to this article: Alan Turing鈥檚 original 鈥渋mitation game,鈥 proposed in 1950, had an elegant simplicity: a human judge conducts a text-based conversation with two hidden parties鈥攐ne human, one machine鈥攁nd tries to guess which is which. Today, the question Turing posed has quietly expanded into territory […]

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The AI Deep Research Race Has a New Leaderboard

A new cross-domain benchmark reveals how the leading AI research tools perform on real-world production tasks Listen to this article: Two AI-generated research reports land on your desk before a major decision. Both are polished, confidently written, and well-structured, but they reach different conclusions. Which one do you trust, and how would you even begin […]

HBS AI Institute Associates Spotlight Series: Elie Ofek and Julian De Freitas

This series introduces 性视界 Business School AI Institute Associates Program projects which aim to answer important questions at the intersection of artificial intelligence and digital technologies in business and society. This article shares insights from Elie Ofek, Malcolm P. McNair Professor of Marketing, 性视界 Business School and Julian De Freitas, Assistant Professor of Business Administration, […]

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