Blogs

AI assistants are reshaping digital search—by 2026, 40% of users will rely on them as their main source. To stay visible, your content needs more than SEO; it must be structured and authoritative for large language models. Discover simple, actionable steps to optimize your content for LLMs and future-proof your brand in the age of intelligent machines.

AI-native enterprises are redesigning how decisions happen. Intelligence is no longer downstream from reporting. It’s embedded in the system itself. AI Agents act on real-time data, escalate when needed, and learn with every interaction. Executives shift from decision gatekeepers to system designers—structuring environments where smarter, faster, and more scalable decisions happen continuously across the business.

In AI-native organizations, work doesn’t disappear—it reorganizes. AI Agents take on repetitive tasks so people can focus on strategy, ethics, and innovation. Instead of managing reports, leaders shape how work flows across humans and agents. This shift redefines roles, builds smarter systems, and unlocks scale through collaboration, not replacement. This is how we learn to work differently.

Most companies are still thinking in terms of digital transformation—pulling reports, stitching data, and bolting AI onto legacy systems. But the organizations pulling ahead have stopped asking where to “add AI” and started rethinking how their systems, teams, and decisions work together with it. In an AI-native enterprise, intelligence isn’t an add-on. It’s part of the architecture. Read how leading companies like Moderna, BMW, and Block are redesigning their operating mod

Anthropic used 7 million pirated books to train their AI model. A federal judge ruled that’s copyright infringement—and your business could be on the hook if your tools were trained the same way. Bartz v. Anthropic is a wake-up call for executives to audit vendors, tighten contracts, and monitor AI use. Legal and reputational risks tied to AI inputs and outputs are growing fast.

The fastest way for CXOs to shift their mindset about the business impacts of AI is to get hands-on with it. This follow-up to AI Is a Contact Sport offers 7 simple, no-code builds any executive can complete in under an hour—no database, no dev team required. Each one is tied to real CXO responsibilities and includes ready-to-use prompts to help you stop spectating and start leading with insight.

Five AI governance priorities every CIO (or CAIO) must lead—plus metrics to measure value, reduce risk, and align with the board.

In my previous blog, I outlined how AI is transforming organizations and creating emerging careers across various dimensions based on the...

I was inspired to write this blog when a savvy female leader reached out to me about positioning herself for a new AI-related career in...

Unlock AI’s potential with our comprehensive guide! Combining 10 frameworks with Gartner’s 2023 AI Hype Cycle, we offer actionable insights