When Senator Bernie Sanders emerged from closed-door meetings with Silicon Valley’s most powerful tech leaders last week, he carried a message that few in Washington seem ready to hear. The Vermont independent, known for his decades-long scrutiny of corporate power, had just been briefed on the trajectory of artificial intelligence development—and what he learned left him deeply unsettled. “The Congress and the American people have not a clue” about the scale and speed of the coming AI revolution, Sanders told reporters. His words, delivered with characteristic bluntness, cut through the usual political platitudes about technological progress. This wasn’t the rhetoric of a politician playing catch-up with innovation. It was a warning from someone who had just glimpsed a future most Americans haven’t begun to imagine. “We have got to slow this thing down. We have got to know what the hell is going on.” — Senator Bernie Sanders Behind Closed Doors in Silicon Valley Sanders’ alarm stems from conversations with executives at the forefront of AI development—meetings he requested to understand how the technology might reshape the American economy and workforce. What he discovered was a gap between the pace of technological change and the capacity of democratic institutions to respond. The timeline problem is what keeps Sanders up at night. While Congress operates on election cycles measured in years, AI capabilities are advancing on timelines measured in months. The senator’s concern isn’t abstract futurism; it’s the concrete reality that policy frameworks being debated today may be obsolete before they ever reach a vote. The transparency gap compounds the challenge. Sanders noted that the public—and their elected representatives—lack visibility into what these systems can already do, let alone what developers are building next. The meetings revealed capabilities that haven’t been publicly disclosed, raising questions about what else remains hidden from view. “This is not about being anti-technology. This is about making sure that technology works for working people, not just for billionaires.” — Senator Bernie Sanders The Regulatory Vacuum Sanders’ warning arrives at a moment when Washington’s approach to AI regulation remains fragmented at best. While the European Union has moved forward with comprehensive AI legislation and individual states have begun crafting their own rules, federal policy in the United States has largely stalled. The legislative bottleneck reflects deeper challenges. AI cuts across jurisdictional lines that Congress has traditionally used to organize its work—touching on labor, commerce, national security, and civil liberties simultaneously. The result has been a series of hearings and white papers, but little in the way of binding constraints on how the technology is developed or deployed. Industry self-regulation has filled some of the void, with major AI companies publishing safety frameworks and voluntary commitments. But Sanders’ comments suggest these measures fall short of what’s needed. The senator’s call to “slow this thing down” implies a skepticism that market incentives alone can ensure responsible development. What Comes Next Sanders has indicated he plans to push for congressional hearings and potentially legislation addressing AI’s impact on workers and the economy. His approach is likely to emphasize labor protections and economic equity—concerns that have defined his political career. The senator’s intervention matters because it signals a shift in how AI is being discussed in Washington. No longer confined to tech committees and specialized subcommittees, the technology is now commanding attention from lawmakers who view it through the lens of economic justice and democratic accountability. Whether Sanders’ warning will translate into meaningful policy action remains uncertain. The tech industry’s lobbying power is formidable, and the competitive dynamics driving AI development show little sign of slowing. But for a moment, at least, one of Washington’s most persistent critics of corporate power has trained his attention on what may be the defining technology of our time—and he doesn’t like what he sees. This article was reported by the ArtificialDaily editorial team. For more information, visit The Guardian. Related posts: Custom Kernels for All from Codex and Claude OpenEnv in Practice: Evaluating Tool-Using Agents in Real-World Enviro OpenEnv in Practice: Evaluating Tool-Using Agents in Real-World Enviro Accelerating science with AI and simulations Post navigation Exposing biases, moods, personalities, and abstract concepts hidden in Google VP warns that two types of AI startups may not survive