“As AI becomes integral to business strategy, CIOs are being forced to reconsider how and where it’s optimal to deploy compute resources. The need for low latency, cost efficiency, and compliance in AI applications is driving a rapid shift toward hybrid and multi-cloud strategies. For IT leaders, this means 2025 will be a pivotal year for a comprehensive realignment of their infrastructure with the realities of the AI era.”
Enterprise IT in 2025 is entering a period of profound reinvention as CIOs push AI beyond isolated functions, wrestle with the immature foundations of agentic AI, and escalate efforts to counter suddenly looming post-quantum threats. Futurum’s Q2 2025 CIO Insights survey reveals 89% of IT leaders driving AI for strategic transformation, 80% elevating quantum-resilient security to board-level priority, and 71% rethinking optimal cloud environments under intensifying AI workload pressures.
Three primary reasons are driving this change.
Dion Hinchcliffe is a distinguished thought leader, IT expert, and enterprise architect, celebrated for his strategic advisory with Fortune 500 and Global 2000 companies. With over 25 years of experience, Dion works with the leadership teams of top enterprises, as well as leading tech companies, in bridging the gap between business and technology, focusing on enterprise AI, IT management, cloud computing, and digital business. He is a sought-after keynote speaker, industry analyst, and author, known for his insightful and in-depth contributions to digital strategy, IT topics, and digital transformation. Dion’s influence is particularly notable in the CIO community, where he engages actively with CIO roundtables and has been ranked numerous times as one of the top global influencers of Chief Information Officers. He also serves as an executive fellow at the SDA Bocconi Center for Digital Strategies.
Very interesting: The business case for orbital AI data centers appears to close.
Near-continuous solar power + falling launch costs = Compute unconstrained by terrestrial limits.
AI inference ...capacity will expand massively, and the marginal cost of intelligence falls. 🛰️⚡🤖
Starship could make orbital compute viable even if it never landed and was never reused.
Even with expendable Starship economics, orbital compute crosses terrestrial parity in the 2030s. With full reusability, it crosses on flight 2. If and when Starship achieves full
I just did a check on the biggest enterprise-grade AI datacenters:
While models get the headlines, gigawatts decide the winners in a supply-constrained industry.
Here’s the scoreboard for the ...biggest enterprise AI datacenter builds right now:
@Meta — AI supercluster program —
Lack of oversight threatens AI pilots as spending falls under scrutiny
My take: Measurement in IT has been a very long-standing problem. But one that AI should easily be able to solve. But it’s ...the humans that often want to control the visibility/KPIs.
Lack of oversight threatens AI pilots as spending falls under scrutiny
CIOs are feeling the pressure to get data-backed results from AI experimentation, and most expect to cut their los...
www.ciodive.com
The AI model expertise barrier has essentially fallen. ⚡
GPT-5.4 is currently hitting 83% on GDPVal. That means it’s matching or beating human experts across 44 high-value professional ...occupations for the first time.
Claude Sonnet 4.6 now leads human expert-level benchmarks on
A4) Double down on relationship building for sure. Show up for #ciochat and other learning experiences. 😇 Depends on whether there's a CTO, CAIO, or some other role that already has more ...outward-facing vision. Art of the possible and building reusable platforms for speed.
#CIOChat Good chat today. Join us at 2pm ET next Thursday. Topic: Leadership Burnout
Hope you enjoy our movie tie-ins to intro next week’s topic.
Please suggest topics and invite your IT ...colleagues. Every Thursday at 2pm ET.
@CPetersen_CS Yes, a new type of #EntArch function that’s mostly business innovation + mostly powered by AI + overseen by humans.
I suspect it could scale, be the most useful, esp. around creating... a unified data model/graph.
But we’ll see. What actually works is what will happen.
#CIOChat
@dhinchcliffe I'd be very happy for #EntArch to really come into its own as a value driver! And, you're right on the money about most CoEs, but the ones I've seen fail/flail mostly did so because ...leadership failed to scale their related basics everywhere. Scale up + scale out. #ciochat
A3) Depends on the org and market, but there may be opportunities for #IT to co-create new business models, services, platform plays, etc. to compliment and extend "the business" (like digital twins ...for jet engines). #ciochat
#CIOChat Q4: Endgame: Digital and AI transformation blur the line between “the business” and IT entirely.
What vital new capabilities must CIOs build (product thinking, platform strategy, ...ecosystem partnerships, customer success) to sustain IT as a long-term growth driver?
@CPetersen_CS +100. These are very good answers. And I missed GRC, that’s a core IT function, though arguably guardrails.
But with AI, I think we’ll see the CoE model will finally meet its ...match. It’s been failing to scale for years.
I think a new AI #EntArch function will emerge.
#CIOChat
@dhinchcliffe 💯 But much of #IT moves up the chain a notch or two toward design, strategy, automation, GRC, etc. We can't scale well enough as a central silo, so IT has to become pervasive. We ...still need some centers of excellence for architecture, portfolio rationalization, etc. #ciochat
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