Imagine describing your ideal social media feed in plain English – “show me thoughtful discussions about climate tech, but filter out political rants” – and having an AI assistant build it for you instantly. That’s exactly what Bluesky, the decentralized social network, is testing with its new AI assistant called Attie, unveiled at the Atmosphere conference last weekend. But this isn’t just another AI feature; it represents a fundamental challenge to how major platforms wield artificial intelligence.
A Different Approach to AI Control
While Meta, Google, and other tech giants use AI primarily to keep users engaged longer and gather training data through opaque algorithms, Bluesky’s Attie takes the opposite approach. According to former CEO turned Chief Innovation Officer Jay Graber, “We think AI should serve people, not platforms. An open protocol puts this power directly in users’ hands.” The assistant, built on Anthropic’s Claude model, lets users create custom feeds through natural language commands without any coding knowledge.
What makes this particularly interesting is the timing. Bluesky just secured $100 million in new funding and has grown to over 40 million users, but faces the same monetization challenges as any social platform. Interim CEO Toni Schneider, formerly of WordPress parent Automattic, sees the real potential in the underlying AT Protocol – an open, decentralized system that could become the foundation for an entire ecosystem of independent social services, much like WordPress did for websites.
The Anthropic Connection and Military Tensions
The choice of Anthropic’s Claude model for Attie comes with its own complications. Just weeks ago, the U.S. Department of Defense designated Anthropic as a “supply chain risk” in a contract dispute over military use of its AI. Federal Judge Rita Lin called the Pentagon’s proposed punishment “arbitrary and capricious,” highlighting the growing tension between AI companies’ ethical boundaries and government demands.
This matters because Claude is currently the only large language model certified for use in classified U.S. military contexts. The dispute centers on Anthropic’s refusal to allow its AI for lethal autonomous weapons and mass surveillance, with the Pentagon arguing only U.S. law should limit military technology use. As frontier AI models like Claude are classified by companies as having high risk for cyber attacks and bioweapon assistance, these control battles will only intensify.
AI’s Real-World Business Impact
While Bluesky experiments with user-controlled AI, the broader business world is grappling with AI’s tangible effects on employment and operations. Tech giants including Google, Amazon, Meta, Pinterest, and Atlassian have announced or warned of workforce reductions linked to AI developments. Meta plans to nearly double spending on AI this year while implementing hiring freezes and further job cuts.
“I think that 2026 is going to be the year that AI starts to dramatically change the way that we work,” Meta CEO Mark Zuckerberg recently stated. Block CEO Jack Dorsey was more direct about his company shedding almost half its workforce: “Intelligence tools have changed what it means to build and run a company… A significantly smaller team, using the tools we’re building, can do more and do it better.”
Amazon, Meta, Google, and Microsoft plan to invest $650 billion in AI over the coming year, with Amazon cutting about 30,000 corporate workers since October partly to offset these costs. Some companies report using code that is 25% to 75% AI-generated, indicating real productivity changes. As tech investor Terrence Rohan notes, “Pointing to AI makes a better blog post. Or it at least doesn’t make you seem as much the bad guy who just wants to cut people for cost-effectiveness.”
The Hiring Paradox
This productivity shift is creating a hiring paradox. Over 40% of employers have extended probation periods due to difficulty assessing true skills during hiring, while around 75% of senior HR leaders noticed a steep rise in AI-generated applications. “We know they’re using it to write their CVs, their application letters,” says Michael Kienle, Global Vice-President for Talent Acquisition at L’Or�al. “But recently candidates have become more brazen. One of my recruiters told me a jobseeker had used AI in a video interview, simply repeating answers the bot would provide.”
This has led companies like L’Or�al and EY to create “AI-free zones” in interviews, implementing face-to-face conversations, practical testing, and training recruiters to detect AI-generated responses. “I think AI has actually pushed the interview process back to being more human focused,” observes David Brown, Chief Executive of recruiter Hays Americas.
The Economic Implications
The employment shifts are sparking broader economic discussions. Vinod Khosla, an early OpenAI investor and billionaire venture capitalist, has proposed eliminating federal income tax for Americans earning less than $100,000 by raising capital gains taxes to match income tax rates. He calculates this would allow 125 million less affluent Americans to pay no federal income tax without hurting government revenues.
“When I talk to people, the biggest thing is fear of AI taking their job by far,” Khosla stated at a Washington forum, predicting AI job anxiety will be “the single biggest issue” in the 2028 U.S. presidential election. He criticizes both political approaches: “Democrats are too focused on the wrong thing, which is job preservation, not providing security to those who are displaced,” while noting Trump has a “complete lack of values of any sort.”
What Attie Really Represents
Back at Bluesky, Attie represents more than just a clever AI feature. It’s positioned as what Graber calls a “counter-design” to dominant platform strategies. The assistant is currently in closed beta as a standalone app, with plans to eventually integrate custom feeds back into Bluesky and other AT Protocol applications. Long-term ambitions include letting users “vibe-code” their own social apps – creating tools for others without traditional programming.
This approach raises important questions: Can user-controlled AI tools like Attie create sustainable alternatives to platform-dominated models? Or will they remain niche experiments while centralized platforms continue consolidating power through massive AI investments? As companies pour trillions into AI development and data centers, the fundamental question becomes who controls these powerful systems – and who benefits from them.
The contrast couldn’t be clearer: Bluesky’s Attie offers users tools to curate their own experience, while major platforms use AI to optimize engagement for their benefit. As these parallel developments unfold – decentralized experiments versus centralized consolidation – business leaders must consider not just what AI can do, but who it should serve and how it reshapes everything from social media to employment to economic policy.