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)
- Philip Carter, CPA, MBA, CFA → Chief Financial Officer, Skyworks Solutions, Inc. Will lead finance strategy, investor relations, treasury, and global finance/IT. Prior leadership at AMD and Broadcom.
- Gajen Kandiah → Chief Executive Officer, Rackspace Technology. Driving an AI-first multicloud strategy. Formerly scaled Cognizant from $368M to $16B; led AI integration at Hitachi Digital.
- Amber Grewal → Chief Growth Officer, Eightfold AI. Unifying product, sales, marketing, and CS around talent leaders’ needs. Ex-BCG MD; former Intel Chief Talent Officer.
- Pedro Diaz Ochagavia → Chief Revenue Officer, Tanium. Accountable for global revenue and route-to-market. Known for data-driven transformation at Cloud Software Group and HPE.
- Petr Podrouzek → Chief Technology Officer, IP Fabric. Leading AI and data engineering. Background spans Emplifi, Barclays Investment Bank, and enterprise-scale architecture.
What’s New in Tech
Making AI consistent (and auditable)
Silicon Valley’s newest heavyweight, Thinking Machines Lab, founded by former OpenAI CTO Mira Murati, has just launched its first public research, addressing one of the thorniest problems in enterprise AI: inconsistent model outputs. Their technical blog, “Defeating Nondeterminism in LLM Inference,” reveals that AI randomness isn’t just due to sampling but also to how NVIDIA GPUs process requests at the kernel level during inference.
With a $2 billion seed round and a team stacked with former OpenAI talent, the lab’s solution is to make AI inference “batch-invariant,” enabling enterprise-grade auditability, reliable automation, and smoother reinforcement learning. While its approach currently trades speed for stability, this innovation could be a game-changer for sectors such as finance, healthcare, and any field that demands reproducible and defensible AI outputs. For the C-suite, AI reliability is getting a much-needed boost.
Check out our additional readings if you wish to explore this topic further:
- Thinking Machines Lab Wants to Make AI Models More Consistent.
- Former OpenAI CTO Mira Murati Raises $2 Billion For New AI Startup Thinking Machines Lab.
Tech Trends for Leaders: The “Baker’s Dozen”
4 Core Themes to Track
- AI amplification → AI is now both a stand-alone force and a multiplier, driving breakthroughs when paired with automation, semiconductors, R&D, energy, and robotics.
- Agentic AI → Digital “coworkers” that plan and execute workflows are moving from pilot to production. Expect major productivity impacts.
- Application-specific chips → New semiconductors lower AI costs and energy demands; competition is intense as compute becomes the new oil.
- Energy & sustainability → Clean power, electrification, and climate tech are moving from ESG talking points to enterprise adoption.
Frontier Signals
- Quantum, robotics, immersive reality, advanced connectivity, and bioengineering continue to see surging R&D and patents.
- Agentic AI + custom chips are the fastest-growing areas in patents and search interest.
- Equity funding is rebounding in cloud/edge, robotics, and space tech after last year’s dip.
- Semiconductor and quantum patents are up sharply, but business applications are still catching up.
Leadership takeaway: Capital, talent, and innovation are concentrating on AI, semiconductors, and energy. CIOs and CTOs should treat these as board-level strategy topics, not just technical investments.
Check out our additional readings if you wish to explore this topic further:
Leadership Imperatives for 2025
What leaders should prioritize:
- Plan for scale barriers: Treat infrastructure, talent, and regulation as strategic headwinds - not just technical problems to solve later.
- Responsible innovation: Transparency, ethics, and governance are adoption accelerators, not compliance checkboxes.
- Geo-strategic risk: Competition in chips, AI, and energy is intensifying. Build continuity and supplier redundancy into growth plans.
From The Podcast
GenAI that ships in weeks, not months.
This week, our co-founder Chirag Khanijau hosts Vishal Shukla, CEO of Rysun Labs, to unpack how a GenAI-first consultancy delivers real business impact.
Highlights:
- Hyper-contextual AI in retail personalization
- Security and data readiness as enterprise hurdles
- Why being opinionated on use cases beats chasing shiny tools
- “AI teammates” that reshape customer experience
Why it matters: Leaders want ROI quickly. Vishal shows how to go from idea → deployment in weeks, not quarters.
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