• Eying recruitment and HR tech opportunities: Unseen Group swoops for two acquisitions;
• Sorting out who’s accountable for misbehavior: When AI leaves the chat and enters the workflow;
• Ignoring unbridled development: Zuck says AI’s biggest risk is one entity with too much control;
• Preventing bigotry just got harder: AI is more likely than humans to form biases when hiring;
• Leaving humans back offline: Cloudflare says bots generate 1,000 times more internet traffic.
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Manchester-based software and employability solutions provider, Unseen Group, has acquired early careers recruitment business, The Ladder Group (TLG), and HR Tech advisory firm, The Udder Group (Udder), for undisclosed sums. The transactions bring Unseen’s total number of acquisitions to 13 and increase the group’s workforce to more than 145 full-time equivalent employees globally.
Agents are being deployed faster than the foundations that govern them are being built. Many operate without a documented owner, without a unique identity, and without a tested way to shut them down. One in three organizations already use AI in critical resilience workflows, yet 30% have never tested for agentic AI failure. The gap exists because the question has changed. For years, governance has asked whether you could trust what AI produces. Agentic AI asks whether you can control what it does, and the difference is operational: An output can be reviewed before it matters, while an action takes effect the moment it happens. Distributed ownership, periodic reviews, and policy-based controls were built for the first question, but cannot answer the second.
Meta CEO Mark Zuckerberg released a full-throated defense of AI on Monday morning: a 6,500-word manifesto arguing that the most common concerns are overblown and fail to account for all the positives it can achieve. In his vision of AI, the biggest risk instead is that one government or entity has too much power over the technology. Why it matters: Zuckerberg’s flag in the ground, with a utopian vision of a highly personal AI that fuels individual achievement, comes as policymakers debate how much control they should have over increasingly powerful models.
The next time you apply for a job, AI may screen your résumé before any human sees it. But there’s good reason to question whether AI will judge you fairly. Researchers already know that LLMs pick up human biases from their training data. New research suggests that LLMs can also develop their own biases from experience—and stereotype job applicants more than humans do. As AI companies race to build agentic models that remember the tiniest details about users, they may be handing them ammunition for forming those biases.
Just a couple of months after Cloudflare revealed that bots have officially surpassed human traffic online, the company has given its view on what things will look like in five years. It’s not good news for us fleshy meatsacks: non-human traffic could be up to 1,000 times higher than human traffic. CDN and cybersecurity giant Cloudflare held its Q2 earnings call on Thursday, during which chief financial officer Thomas Seifert gave a concerning prediction about what the web will look like in the future. “If the current trends continue, we think in five years, non-human traffic will be as much as 1,000 times as much as human traffic,” he said.
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