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Your Biggest Cyber Risk Isn’t Technology

Plus: The Leadership Blind Spot

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Three different signals about the AI era emerged this week. First, AI infrastructure startup Nscale raised $2 billion at a $14.6 billion valuation with backing from Nvidia, highlighting the massive global buildout of AI data centers and compute power. Second, researchers warned that large language models can now help hackers identify anonymous social media users by connecting small pieces of public information across platforms. And third, leadership experts are raising a different concern: while leaders are getting better at prompting AI systems, many are asking fewer questions of the people closest to real problems. Together, these stories reveal a deeper shift, AI is transforming infrastructure, security, and leadership all at once.

In today’s post:

  • How is prompting people

  • AI just made anonymity online much harder

  • The $14.6B startup building the “engine of AI”

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RESEARCH

The biggest AI mistake leaders make isn’t technical. It’s human


Leadership experts noticed a pattern across companies. Leaders are asking AI more questions than they ask their teams.

Here’s everything you need to know:

  • A CHRO used AI to prepare a culture report for the board.

  • The AI produced clean insights from surveys and exit interviews.

  • But it missed the real issue hidden in conversations on the ground.

  • Three supervisors had been warning leadership about scheduling failures.

  • The warnings never reached the data systems AI relied on.

  • Researchers call this effect “mechanized convergence,” where AI narrows thinking.

  • The result is a growing gap between machine answers and human reality.

AI is great at analyzing what already exists. But the most important problems rarely live in datasets. They live in conversations that never happen. When leaders replace curiosity with prompts, they gain speed. But they lose understanding. And over time, organizations stop learning from the people closest to the work.

CYBER CRIME

The same AI that writes for us can now identify us.

Researchers studying large language models made a worrying discovery. AI can connect anonymous social media accounts to real identities.

Here’s everything you need to know:

  • Researchers tested large language models by feeding them anonymous social accounts.

  • The AI scraped public information across platforms to find matching identities.

  • Small clues like locations, habits, or pets helped narrow potential matches.

  • In several test scenarios, the AI linked anonymous users to real profiles.

  • The attack becomes cheap because anyone can access public AI models.

  • Hackers could use this to launch highly personalized phishing scams.

  • Governments could also use similar techniques to track anonymous activists.

The internet was built on the idea of partial anonymity. You could share pieces of yourself across different platforms. AI breaks that separation. It can connect thousands of tiny clues humans would miss. And once those clues connect, anonymity stops being a design feature. It becomes an illusion.

POFIOTS

The AI race isn’t just about models anymore

Image Credits: Nscale

Nscale just raised $2 billion at a $14.6 billion valuation. And Nvidia is one of the investors backing it.

Here’s everything you need to know:

  • AI infrastructure startup Nscale raised $2 billion in a Series C round led by Aker ASA and 8090 Industries.

  • Nvidia joined the round, signaling that chipmakers are investing beyond hardware.

  • Nscale builds the backbone of AI: data centers, GPU compute, networking, and cloud access.

  • The company operates facilities across the U.K., U.S., Norway, Portugal, and Iceland.

  • Big Tech demand is already visible through partnerships with Microsoft and OpenAI.

  • The company plans to expand infrastructure across Europe, North America, and Asia.

  • With AI demand exploding, CEO Josh Payne calls this “the largest infrastructure buildout in human history.”

Most people focus on AI models. But the real race is happening underneath. Every powerful AI model needs massive compute, electricity, cooling, and networking. Companies like Nvidia sell the chips. But companies like Nscale build the world those chips run in. And in technology history, infrastructure companies often become the quiet giants.

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