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  • The AI Risk Your Company Is Overlooking

    The AI Risk Your Company Is Overlooking

    October 6, 2026

    Summary.   

    In this week’s The Insider newsletter, technology editor Tom Stackpole shares a story from MIT’s Christian Catalini, who argues that when execution is cheap due to AI, verification

    The Insider is a weekly, subscriber-only newsletter, where our managing editor curates HBR stories, research, and ideas that senior leaders shouldn’t miss.

  • AI Is Making Verification the Bottleneck for Companies

    AI Is Making Verification the Bottleneck for Companies

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    Hierarchy does more than route information; it also verifies: deciding what information means, what deserves the firm’s attention, which outputs can be trusted, and which are worth

    Somewhere in your company today, an expert rejected a perfectly plausible answer. A controller caught a revenue figure that counted deferred bookings. A security engineer blocked a release that passed every test but would have handed an AI agent write access to the production database. That override, escalation, or reversal is the most valuable data your firm produces. If you record enough of those moments and use them, alongside everything else your firm knows and measures, to train an AI model that learns from each correction, you could, in theory, eliminate the need for managers to route information and coordinate action. In doing so, execution gets turbocharged by automation. You might even be able to eliminate hierarchy altogether.

  • How AI Is Changing Cyber Threats—and Cybersecurity—for SMBs

    How AI Is Changing Cyber Threats—and Cybersecurity—for SMBs

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    Small and medium-sized businesses (SMBs) have long been at a disadvantage on cybersecurity. State-of-the-art cybersecurity and resilience programs have historically been expensive and pursued only

    The cybersecurity outlook for small and medium-sized businesses can seem dire. Cybercriminal and nation-state cyberattacks appear to be on the rise, especially against utilities and small businesses. At the same time, there are new AI-enabled cyber risks, including AI agents from frontier labs breaching confinement and attacking other companies. Generative AI and machine-learning models have also streamlined traditional attack vectors. Phishing lures are now hyper-personalized, vulnerability discovery is exponentially faster, and ransomware operations are automated and ubiquitous.

  • How Leaders Talk About AI Predicts Adoption

    How Leaders Talk About AI Predicts Adoption

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    Illustration by Ana Moreno

    New research from BCG finds that how a company talks about AI is a material predictor of adoption results. The companies where leaders’ stories provide clarity, hope, and growth are seeing

    Stories are one way that leaders cement their legacy, inspire action, and define an era. The stories they tell about where a company is going can foreshadow opportunity or foment fear—sometimes unwittingly. Today, leaders are telling employees the story of what AI will mean for them. “No one knows,” some say, leaning into the 2010s-era virtue of transparency. “AI is coming for your job, but it’s coming for mine, too,” say others, in apprehensive solidarity. Still others position AI as a personal superpower, or the dawn of a heroic unknown. Each of these narratives is a choice. Each choice has consequences.

  • The More Accessible Information Is, the Less Employees Remember

    The More Accessible Information Is, the Less Employees Remember

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    Greater connectivity can make employees better at finding knowledge while leaving them less likely to retain it. Across five experiments involving more than 1,000 people, participants who formed

    Your organization has invested heavily in collaboration. Employees communicate through Slack and Microsoft Teams. Knowledge is stored in shared drives. AI assistants retrieve policies, summarize meetings, and answer questions instantly. Internal social platforms make it easier than ever to identify who has expertise across the organization. The assumption behind these investments is simple: Greater connectivity leads to better learning. If employees can reach more people and access more information, they should become more knowledgeable. But that assumption deserves a closer look.

  • Research: Gen AI Is Collapsing Creative Processes

    Research: Gen AI Is Collapsing Creative Processes

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    Illustration by Alex Robbins

    Generative AI is transforming creative work by making it faster and easier to brainstorm and visualize ideas. But a new, yearlong study following senior creatives in charge of television and

    Imagine a photographer reviewing a concept image for an advertising campaign that the client has already approved. He notices a problem: The man in the image is wearing a baseball cap that casts his face in shadow, but his eyes are clearly lit, showing his intense stare into the camera. The photographer’s trained eye tells him immediately that that lighting is impossible. No real-world set up could produce it. The image had been created by a senior creative using gen AI, and the client had loved it. Now the production team has been tasked with recreating—with cameras and human actors—something that reality can’t match.