Colorado's AI Act takes effect June 30, requiring companies to actively guard against AI making discriminatory decisions. It is not alone. A draft federal bill, a White House fight with the states, and an EU labeling mandate are all moving at once. The companies treating AI compliance as next year's problem are about to discover the regulators moved faster than they did.

A new Publicis Sapient survey of 1,550 decision makers finds 73 percent of large enterprises use AI across most of their work, but only 10 percent say it is core to operations. Nearly half say the AI is already capable while their organization is not built to capture what it can do. The bottleneck has moved from the technology to the org chart, and most leaders are still trying to fix the wrong one.

Tech layoffs are running at 1,115 a day in 2026, and almost every announcement blames AI. A new Gartner study of 350 companies found the firms cutting the most got no better financial returns than the firms cutting the least. The layoffs are real. The justification often is not. Here is how to tell the difference inside your own company.

The EU AI Act was set to bring tough obligations for high-risk AI systems online in August 2026. Those obligations have been postponed to December 2027, a delay of about 16 months, and the requirement for member states to build regulatory sandboxes slipped a year. The Commission still published a code of practice on labeling AI-generated content on June 10. The lesson for leaders: even the world's most aggressive AI regulator decided the rules were arriving faster than compan

Salesforce hired zero new software engineers in its last fiscal year while planning to spend around $300 million on Anthropic AI tokens in 2026, much of it on coding. Sales headcount grew 20 percent. This is the token economy made literal: computation is replacing labor hours as the basic unit of production, and the budget is moving from payroll to compute. Here is what it means for how you plan, hire, and measure.

Meta laid off roughly 8,000 people and moved another 7,000 into AI workflow teams this spring, touching nearly a fifth of its workforce. On June 12, Mark Zuckerberg admitted in an internal memo that the company made mistakes in how it restructured. The lesson for every leader: cutting a role and automating its work are two different things, and confusing them is how you lose capacity while calling it strategy.

This month Washington moved to keep federal AI rules light while Colorado's strict AI Act counts down to a June 30 start date. The result is a widening gap between a permissive federal stance and a patchwork of demanding state laws. If your company operates across state lines, that gap is yours to manage.

Salesforce confirmed it added no new engineers in its entire last fiscal year while growing revenue, after AI agents made existing developers dramatically more productive. The real story is not that work vanished. It is where the work went, and what that means for how you staff.

More than 180,000 tech workers have been cut in 2026, and most of the companies doing it are profitable. The cuts are not about distress. They are about moving capital from payroll into AI infrastructure. Understanding that reframe tells you exactly how to protect your career and your company.

Hiring a keynote speaker is one of the highest-stakes decisions an event planner makes. The right speaker transforms your event into a milestone your attendees remember for years. The wrong one? An expensive lesson in disappointment. Here's how to make the right choice. Start with Your Outcome, Not the Topic Most event planners start by searching for speakers on a topic: "AI speaker" or "leadership speaker." This is backwards. Instead, start with the question: What do I want

Data tells. Stories sell. Yet most business presentations are graveyards of bullet points and charts that audiences forget within hours. The executives who move markets and mobilize teams have mastered something different: they know how to wrap their business case inside a story that sticks. Why Stories Work in Business Neuroscience explains it: stories activate the brain differently than facts alone. When we hear a story, our brains release oxytocin (the empathy chemical) an

AI slowly eats away the modern org chart Did you know that the modern org chart is actually modelled after how soldiers reported to generals during war times in the Roman period? Just like how schools are modelled after the Germanic assembly line (aka outdated), org chart make-ups isn’t that innovative either. And it’s controlled us for about 2000 years. Let that sink in. So apparently, back in the day, 8 soldiers would form a contubernium (pictured below) Which really was ju

Tokens are the new form of labor, a new way to calculate the opex of a company? The other day, I was using Perplexity Computer, a new product feature that was rolled out. Basically, it’s Perplexity’s version of an AI agent, where it can draft and send emails, run commands in parallel, create sub agents, and execute on tasks. Each task that was finished, my credits started to dwindle, and it made me think of something, which is that labor, in the future, is simply tokens.

The Two Things AI Can't Replace If you have been using the latest AI models recently, you might feel another step-change in the progression. I certainly do. In 2025, you might have had the same feeling I have had: looking at a piece of AI output and thinking, well, it's not perfect, it's...useable, you say hesitantly, but would I hand this to my boss? Hmm. A client? Hmm. Those moments of hesitation were also moments of assurance. It told us that AI was still not good enough

In an era of rapid technological change, organizations are discovering that the ability to learn and adapt may be the most valuable skill of all. This is especially true in the realm of artificial intelligence (AI). New AI tools and capabilities emerge at a dizzying pace. What was cutting-edge last year might be commonplace today. A year ago, most AI applications could only process text; now they can analyze images, interpret voice commands, and perform tasks once thought to

And the AI acceleration curve keeps on curving. On July 17, 2025, OpenAI announces ChatGPT agent. ChatGPT Agent is an AI-powered assistant that can carry out complex, multi‑step tasks on your behalf using its own virtual computer. It merges the powers of previous tools like Operator (which handles web interactions) and Deep Research (for long-form reasoning and web synthesis) into a unified system capable of both reasoning and action. I recently got access to ChatGPT agent an

Last week, in the middle of delivering a virtual keynote on AI, a comment in the chat caught my attention. A participant expressed surprise and a bit of disheartenment, having realized that AI is not only capable of managing mundane tasks, as she had expected, but increasingly taking on creative responsibilities. She wondered, "What exactly is left for humans?" It's true: we've been reassured repeatedly that AI would handle repetitive, process-heavy tasks, leaving humans to f