The money is loud, but the electorate is skeptical. An April 2026 poll highlighted by Politico signals a widening gap between the agendas of deep-pocketed AI and crypto Super PACs and what voters actually want from technology policy. Candidates are learning that an influx of emerging-tech dollars does not automatically buy public trust—or votes. This…
Artificial intelligence didn’t just make headlines on May 3, 2026—it collided with the real world. Uber signaled a bold plan to turn millions of driver journeys into a sensor-rich substrate for training autonomous systems. Meta expanded deeper into embodied AI by acquiring a robotics-focused startup, betting that physical AI is the next platform. And a…
AI isn’t just augmenting cybersecurity—it’s changing its physics. The same models that help us write code, triage alerts, and hunt threats are now capable of generating working exploits, scripting lateral movement, and fabricating identities at human scale. The result is a faster, stranger, and more automated security game. This is the moment to recalibrate. The…
On May 4, 2026, reports that Anthropic’s restricted frontier model—Claude Mythos—can autonomously identify and exploit zero-day vulnerabilities jolted AI and security communities into a new reality. Mythos is not a consumer chatbot; it’s an internal, safety-restricted system built for capability research that reportedly excels at autonomous hacking tasks. Policymakers moved quickly, drafting landmark federal legislation…
The math behind generative AI in 2026 is unsettling: for many use cases, the fully loaded cost of AI tools still exceeds the cost of people. A senior Nvidia executive recently argued that soaring hardware and energy expenses, combined with inefficient operating models, have pushed AI’s real price tag “far beyond” employee costs—despite record-breaking capital…
A single day’s headlines can reset the arc of a technology era. On April 29, 2026, three developments did just that: Elon Musk’s courtroom testimony alleging OpenAI abandoned its safety-first mission; China’s move to block Meta’s reported $2B AI acquisition; and Google signing an agreement that allows the U.S. Department of Defense to use its…
AI advertising has entered its “agentic” phase. Models that can generate, place, and optimize ad creative across channels—without a human in the loop—are now driving budgets measured in trillions. The United Nations’ AI Governance Taskforce has issued a blunt warning: that same power is accelerating a misinformation crisis, eroding trust in media, and bending electoral…
The world’s largest tech companies just pressed the accelerator on AI infrastructure. Alphabet, Meta, Microsoft, and Amazon collectively disclosed more than $130 billion in Q1 capital expenditures—largely for AI data centers and specialized chips—and now project up to $725 billion in full-year capex. This is not a blip. It’s a strategic, long-term bet that AI…
Meta’s AI investment surge and OpenAI’s legal challenges arrive at a moment when the economics, energy, and ethics of frontier models are all in flux. Billions more in capital expenditure are being steered into GPUs and custom silicon to power multimodal Llama models, while OpenAI is both navigating a narrowed lawsuit and broadening cloud deployment…
Salesforce is putting its foot on the gas of enterprise AI adoption by doing something deceptively simple: asking customers what to build next. Crowdsourcing an AI roadmap directly from users may sound obvious, but in a market where generative AI vendors often ship catch‑all features, this move signals a tighter alignment with real ROI, real…
