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Everything you want to learn about Executive Coaching and Leadership Development.
AI Consulting Career Disruption: What Partners Must Do Now (2026)
Professional services faces its first major workforce cuts since 2009. PwC eliminated 3,300 roles. Deloitte slashed over 1,200 advisory positions. McKinsey openly admits their AI platform now handles "armies of business analysts creating PowerPoints." If you're a partner, director, or principal at a consulting firm, the pyramid that built your career just lost its base. This isn't about junior analysts anymore - EY is cutting partners. This guide applies the PURPOSE AUDIT™ framework specifically to consulting professionals, examines the four career paths available, and provides the uncomfortable math on timelines and financial runway. The question isn't whether consulting changes - it's whether you're leading that change in your own career.
General Counsel AI Career: Navigate Legal Leadership Disruption
Sixty-seven percent of General Counsels say they're open to using generative AI - but only 15 percent feel prepared to manage its risks. That gap captures the central challenge facing legal leadership today. While you've spent your career assessing risk for others, have you applied that same rigor to your own career trajectory? This guide cuts through the noise about AI in legal to focus on what matters most: what this transformation means for YOUR career as a General Counsel, which parts of your expertise remain irreplaceable, and how to position yourself for what comes next.
CTO Career AI Disruption: Navigate Tech Leadership Transformation
Technology leaders face a unique paradox - the domain expertise that makes you valuable is the same expertise that reveals your vulnerability. While CFOs can maintain distance from AI's technical reality, CTOs understand exactly what's coming. This article applies the PURPOSE AUDIT™ framework specifically to technology executives, distinguishing between infrastructure work (increasingly automated) and innovation leadership (irreplaceable). Discover the four career paths available to CTOs, understand the gap between technical and executive AI fluency, and build your 90-day action plan.
CMO Career & AI: Why Marketing Leaders Face Unique Pressure in 2026
Sixty-five percent of CMOs expect AI to dramatically transform their role within two years. But while every marketing conference focuses on AI tools for campaigns, nobody's addressing what this means for marketing leaders' careers. CMO tenure is declining, Fortune 500 representation is dropping, and the "creative director" identity that defined CMO value for decades is being commoditized. This article applies the PURPOSE AUDIT™ framework specifically to marketing leadership - helping CMOs distinguish automatable tasks from irreducible purpose, understand why marketing faces unique pressure, and evaluate four strategic career paths forward. Whether you're considering transforming your current role, pivoting to adjacent positions like Chief Customer Officer, reinventing through board work and fractional leadership, or building a portfolio career, understanding your actual task-to-purpose ratio is the essential first step.
CFO Career & AI: The Honest Assessment Finance Leaders Need
Fifty-four percent of banking jobs face high automation potential - and that's from Citigroup's own analysis. If you're a CFO, that's your peers analyzing your industry. The question is whether you've done the same analysis on yourself. This article applies the PURPOSE AUDIT™ framework to finance leadership, helping CFOs distinguish between the administrative tasks being absorbed and the strategic purposes that remain irreducibly human. It's time to apply your analytical rigor to the career question everyone's avoiding.
AI Career Disruption by Industry: Executive Impact Guide | 2026
If you're a CFO, CMO, CTO, General Counsel, or professional services leader reading aggregate AI disruption statistics and wondering what they mean for your specific role - they probably mean very little. Executive disruption doesn't follow the same rules as workforce automation. This industry-by-industry breakdown maps how AI is transforming each executive function differently, where each sector sits in the disruption timeline, and which frameworks apply to your specific situation. Because knowing your industry is disrupted tells you nothing until you understand how YOUR role within it is changing.
Chief AI Officer Career Path: Is CAIO Right for You? [2026 Guide]
The CAIO role is real - 26% of organizations now have one, with compensation averaging $354,000 and exceeding $500,000 at Fortune 500 companies. But attractive numbers don't answer the question that matters: is this path right for YOU? This guide cuts through job-posting language to show what the CTO-to-CAIO transition actually requires, how to assess your personal fit, and when pursuing this emerging role makes sense versus when it doesn't. Because chasing titles without honest self-assessment is how careers get stuck.
AI Opportunity Evaluation Framework for Executives | 3 Filters
Every AI pitch sounds promising. That's the problem. Most AI evaluation advice is written for investors picking stocks - you need something different. A framework for operating executives who must decide which AI opportunities deserve their attention and their credibility. Three filters to apply, red flags to watch for, and the questions that reveal whether hype outpaces substance.
AI Governance for Executives: 5 Domains You Must Know | 2026
Every time AI governance comes up in a leadership meeting, someone changes the subject. If that someone is you, this is career-relevant information. AI governance literacy has shifted from compliance overhead to executive competency - and the executives who can't participate credibly in governance conversations are being excluded from the decisions that shape AI strategy. Five governance domains you actually need to understand, three traps that signal illiteracy to your board, and how to build working fluency in hours, not semesters.
Executive AI Competencies: The 5 Skills Leaders Actually Need
Most executive AI education teaches the wrong skills - technical implementation when you need strategic evaluation. The AI FLUENCY MAP™ framework defines five decision-making competencies executives actually need: Capability Assessment, Use Case Evaluation, Risk and Governance, Human-AI Orchestration, and Strategic Communication. None involve coding or prompting. Each operates at proficiency levels from Awareness to Mastery. Discover where you stand with a 15-minute self-assessment that reveals your specific gaps and priorities.
Cherie Silas, MCC, ACTC, CEC

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