Welcome to the first in a multi-part series from Illuminis Labs, where we challenge the mainstream narrative around AI’s impact on work. This isn’t about future hypotheticals. This is about what’s happening right now—in boardrooms, hospitals, law firms, marketing teams, and C-suites across America.

BCG and MIT Sloan Management Review found that 58% of surveyed senior leaders across industries reported feeling unprepared to manage or deploy AI effectively — particularly in strategic planning, ethics, and oversight.

Artificial intelligence is rapidly making inroads into healthcare—from AI chatbots answering patient questions to decision-support systems aiding clinicians. For hospital executives and health IT leaders, this wave of AI offers tremendous promise and peril. How can healthcare organizations harness AI’s potential while ensuring trust, accuracy, and safety?

If you’ve spent any time in the cybersecurity trenches, there’s a creeping sense that much of what we do is smoke and mirrors. Metrics are squishy, vendors are louder than they are effective, and we’re drowning in best practices that no one can agree on. Turns out, the National Academies of Sciences, Engineering, and Medicine agrees.