Research and insights on AI workforce transformation, judgment assessment, and closing the gap between how your best people use AI and everyone else.
The GPT Store failed because OpenAI owned the platform. The AI agent skills marketplace will succeed for the opposite reason. Open standards, portable formats, and what creators should be doing now to position for when the monetization layer arrives.
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The enterprise AI procurement crisis is not a vendor problem; it is a buyer literacy problem. Gartner says 40% of agentic AI projects will be canceled by 2027. The cause is buyers who cannot specify what they are buying. Here is the vocabulary that fixes it.
The hot take is wrong. AI did not make the non-technical cofounder obsolete; it made the technical cofounder more replaceable. Here is the new split for two-person founder teams, and the three conversations every cofounder pair should have this month.
Your AI sales tools did not fail. They created a two-tier sales team, and you do not yet know which half you are running. The Gong 77% revenue gap, the BCG 23% regression, and what actually unlocks the second leg of performance.
Lovable hit $10M ARR in 2 months. Cursor crossed $1B. Two people can ship what used to require fifteen. The new bottleneck is not the code; it is the 40 micro-decisions a day that used to require a team meeting.
Self-paced AI courses have 5-15% completion rates. Guided sessions with real deliverables hit 94% behavior change. Here is why the format matters more than the content.
LMS, certification, consulting, or platform? Compare the four approaches to AI upskilling and find the one that actually produces behavior change.
Every org has AI champions in the top 10%. The challenge is making their workflows available to the other 90%. Here is a framework for scaling individual excellence into organizational capability.
Finance teams use AI for DCF validation, risk assessment, and audit prep. But prompt training misses the point. Judgment, knowing when to trust and when to override, is the real skill.
A step-by-step guide to capturing, organizing, and sharing AI workflows across teams. Turn tribal knowledge into a searchable, reusable asset.
Hours saved is the wrong metric. The real question is whether people work differently after training. Here is how to measure behavior change and present it to the board.
Senior AI workflows are invisible. They live in muscle memory, not documentation. When seniors leave, that knowledge walks out the door. Structured capture is the solution.
Certificates measure completion. They do not measure whether employees actually work differently. Here is what behavior change requires and how to build training that produces it.
Stop asking "are you using AI?" Start asking "what level are you at?" A four-level progression model that reframes adoption from binary to spectrum.
Ramp built an internal AI tool called Glass that achieved 99.5% adoption. Most companies cannot build their own. Here is what we can learn from their approach.
59% of enterprise leaders report an AI skills gap despite 82% offering training. The problem is not content. It is that courses measure completions, not behavior change.
Quizzes test what people know about AI. They do not test whether someone can catch a hallucination, validate a source, or know when to override. Here is a framework that does.
Only 21% of leaders see significant ROI from AI investments. The problem is not the tools. It is what you are measuring. Here is how to present AI training ROI to the board.
Senior employees develop AI workflows nobody else can replicate. When they leave, that knowledge walks out the door. Here is how to capture it in 15 minutes.
AI training spending is up 28% year over year, but 56% of workers still have zero formal training. Generic courses are not the answer. Role-specific workflow training is.
Headways captures how your best people work with AI, then guides everyone else through those workflows while producing real deliverables and measuring judgment.