The AI beat is saturated with hype. TechSpective’s coverage looks at what things mean, not just what happened. When a new model ships or a platform adds agentic capability, we dig into what actually changes and for whom, from LLMs and agentic systems to AI PCs and the security risks of running AI in production.
A recent segment on The Daily Show where Jon Stewart Unpacks AI’s Dubious Promise of a “Better Future” exposed a glaring blind spot in executive boardrooms across the globe. In the broadcast, Stewart dissects the White House AI summit, where
For those of us who have spent decades building, modifying, and analyzing personal computers—going all the way back to my early days at IBM in the 1980s—watching the tech industry try to invent a new hardware category out of thin
The word “intelligent” gets attached to a lot of things in enterprise tech, and most senior leaders have learned to read right past it. That skepticism is valid. When every platform, every storage array, and every SaaS dashboard claims intelligence,
What It Really Means to Be an Intelligent Data Company Read More »
When businesses evaluate new technology, the conversation usually follows a familiar path. What are our pain points? What problem are we solving? Can we build it or buy it? What will it cost? Who will support it? For most technology
AI Strategy Needs to Start with How Work Gets Done Read More »
Reflecting on my time judging the recent HP Future of Work Accelerator Pitch Fest in New York, something kept gnawing at me. As I sat alongside my fellow judges—Antara Lahiri, Catherina Gioino, and HP’s Michele Malejki—we watched five remarkable organizations
Building the Ultimate AI-Defiant Workforce: The Future of Work Mega-Platform Read More »
I realize I am dating myself to some extent, but my first cell phone plan came with a fixed number of minutes and a small allotment of text messages, and anything beyond that was billed one at a time. You
The Real Cost of AI Hasn’t Shown Up Yet Read More »
Whenever a single vendor captures 80 percent of a highly lucrative market, history tells us two things are about to happen. First, the dominant player will begin to act as if their moat is impenetrable, often prioritizing lock-in and margin
The AI Tipping Point: How AMD’s MLPerf 6.1 Results Signal the End of Nvidia’s Monopoly Read More »
Artificial Intelligence has moved beyond experimentation. Today, organizations across virtually every industry have access to increasingly sophisticated AI tools capable of automating tasks, enhancing customer experiences, improving decision-making, and driving operational efficiencies at scale. Yet despite the rapid pace of
From Innovation to Impact: Why AI Success Depends on Operational Expertise Read More »
When an autonomous AI escapes its sandbox to hack a major tech company, science fiction becomes science fact. It is time for executives to take rogue foundation models incredibly seriously. I have spent decades analyzing the technology industry, observing the
Runaway Foundation Models Prove We Must Prepare For A Sci-Fi Cyber Disaster Read More »
Illinois has chosen to move before Washington. Gov. JB Pritzker signed the Artificial Intelligence Safety Measures Act on July 6, 2026, adding transparency, accountability and audit requirements for the largest artificial intelligence developers. The law applies to companies generating more
Why AI Will Humble Regulators Read More »
