“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.
The latest OpenRouter leaderboard is starting to look like a preview of the post-model-loyalty era.
DeepSeek #1. https://Z.ai #2. OpenAI #3. Tencent #4. Xiaomi #6. NVIDIA #8.
The first Anthropic ...model? #17.
That is a remarkable change.
Once enterprises put a
AI safety discussions have reached sci-fi territory.
My take: For CIOs, this means proactive risk management, educational board convos, and ethical guidelines that must evolve rapidly.
AI safety conversations have gotten unbelievable | TechCrunch
This week two conversations about AI safety went viral that demonstrate just how hard it is to discern AI fact from fiction.
techcrunch.com
Serverless agents that are affordable and mix well with the deterministic code you have while being trustable to run by themselves for hours is certainly the dream.
We’ll evaluate the new ...AgentCore runtime soon to see how it stacks up!
Today we're announcing the new runtime in Amazon Bedrock AgentCore, the next generation of agent compute. More and more agents now process claims, write and review code, coordinate across systems, and run for hours without supervision. As agents become ambient and always-on, the
Mark my words: Confidential inference is going to become the vital bridge between enterprise AI demand + the ability of the hyperscalers to provide it in a way that makes public cloud AI services ...trustable, and therefore consumable.
Lots of issues to work out, but this is the
10 years ago I first wrote about Confidential Computing - a way to have hardware attestation to verify integrity and privacy. NOw @cohere is bringing the concept to AI in a form of confidential inference that is badly needed in an era where (some) labs use customer data to train
@dhinchcliffe #CIOChat A1: we categorize by swarm size, by agent task type and model used. Utilities e.g. routing agents are fixed cost. Ex swarm=6 agents. Assume 2 agents are "utilities" . We ...optimize agents by model by task type, and so on based on performance metrics.
I have strong opinions about that, as a generally remote #CIO
#CIOchat
A3) Like a lot of the current #AI cycle, that seems like a discovery tool as long as you get good outputs. At runtime, I'd prefer agents to leverage the calibrated models from a router's feedback ...during testing. Piling another layer of nondeterminism on top feels iffy.
#ciochat
A4. We can model "average cost with error bars (say 1 SD out)" and cap that over time, or we can set triggers that notify a supervisory function (human or #AI) when some limit is exceeded.
Let's be ...realistic about the complexity of the business problems most of us are solving:
A4) All of the above, calibrated humans in the loops, and as close to real-time metrics as possible. <snark> Who should own #AI spend or who's likely to end up owning it even if they can't ...control it? </snark> #ciochat
#CIOChat Good chat today! Join us at 2pm ET next Thursday. Topic: The Great RTO Standoff
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.
Someone will create an #AI to do it...non-deterministically, as I think you said earlier.
Maybe I'll start with a more static approach so I can trace the "chain of thinking about the chain of ...thought"
#CIOchat
@CPetersen_CS @waynesadin “When a router can choose internal vs. hosted models really well”
Yes, agree, Chris.
I’m looking those that can do that right now (or soon) as part of my 2027 ...research agenda.
#CIOChat
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If any of this is useful, I would love to talk.
VP, Custom Research · The Futurum Group
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