Read in 90 seconds:
- Notable C-Suite Moves
- What’s New in Tech
- Tech Trends for Leaders
- From the Podcast
Notable C-Suite Moves (September)
- Candace Holt → Chief Strategy Officer, C1. Leads corporate and operating strategy, transformation, and marketing. Former SVP, Strategic Operations at C1; earlier led ops at Accenture.
- Anshul Sharma → Chief Investment Officer, Savvy Wealth. Building Savvy’s first institutional-grade CIO office. Prior leadership across wealth and private banking at Bank of America, U.S. Trust, and Merrill Lynch.
- Nancy Scott → Chief Marketing Officer, IntelePeer. Overseeing AR, channel/partner marketing, corporate marketing, demand gen, and PR. Former global audience marketing lead for Health & Life Sciences at Microsoft; VP of Global Comms and Customer Engagement at Nuance.
- Andres Andreu, CISSP, ISSAP, QTE → Chief Executive Officer, Constella Intelligence. Expanding leadership in identity risk intelligence and partnerships. Previously COO and CISO at Constella; exec roles at Hearst and 2U.
- Aleksey Shafransky → Chief Technology Officer, Lakeside Software. Leading tech and product engineering with a focus on AI-driven innovation, reliability, and UX. Former SVP of R&D at Kaseya.
What’s New in Tech
AI is rewriting the corporate org chart
- Flattening: Wider spans of control; fewer layers.
- Dynamic teams: Cross-functional groups form around problems, not boxes.
- Role reinvention: ~80% of jobs see ≥20% task shift; ~20% may change almost entirely.
- Convergence: Some firms unify HR and IT to manage people and machines under one strategy.
Why it matters for the C-suite:
Redesign around capabilities, not hierarchy. Governance must integrate human skill networks, AI agents, and global delivery models.
The headline is, AI doesn’t just disrupt jobs; it disrupts organizational DNA. The winners will be those who redesign their companies around capability, not hierarchy.
Tech Trends for Leaders
Gartner’s 4 dimensions of AI readiness
- Ambition: Optimization vs reinvention. Decide upfront to guide bets and risk.
- Deployment archetype: API embedding → fine-tuning → custom models. Each has cost, control, and differentiation trade-offs.
- Risk Appetite and Governance: Define Responsible AI by Function. Set human-in-the-loop, bias, privacy, and adversarial boundaries.
- Foundational maturity: Data pipelines, infra, security, and talent are the bedrock. What leaders should prioritize:
What leaders should prioritize
- Clearly state whether AI is intended for efficiency or new growth.
- Pick the deployment path that fits long-term governance and positioning, not just speed.
- Treat transparency, auditability, and ethics as adoption accelerators. Check out our additional readings if you wish to explore this topic further:
From The Podcast
Repositioning IT services for an AI-first market
Our co-founder, Chirag Khanijau, sits down with Arun ‘Rak’ Ramchandran, newly appointed CEO of QBurst and former President, GenAI and HTPS at Hexaware.
Highlights:
- Why “AI-washing” stalls real innovation
- Build vs buy for mid-size IT firms’ GenAI strategy
- The human cost of bad clients (and when to walk away)
- How AI reshapes traditional software engineering
- Three branding rules for services firms in the AI era
Why it matters: CEOs, CIOs, and CTOs face shifting delivery economics and positioning. Rak shares a practical playbook to move from adaptation to advantage.
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