“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.
2/ Perplexity Computer isn’t purely consumer AI either.
It already connects to real work: Enterprise knowledge sources, structured data like FactSet, and thousands of SaaS apps via proven ...automation layers.
Workers use Computer to create + control agents for work automation.
1/ ⚡️Perplexity just entered major new territory:
Just launched Computer, a new situated agentic capability that executes real work across software.
It’s not enterprise OpenClaw (despite ...claims making the rounds).
It’s a cloud digital worker for everyday knowledge work.
Introducing Perplexity Computer.
Computer unifies every current AI capability into one system.
It can research, design, code, deploy, and manage any project end-to-end.
Join this week’s #CIOChat 2-3 p.m. EST tomorrow. Topic: End of Stable Forecasting
1/ Microsoft just made digital sovereignty at first-class citizen as cloud infrastructure.
New sovereign cloud controls, national operator models, and EU-aligned governance mean countries can run ...Microsoft cloud under local authority.
Cloud hyperscale is fragmenting by design.
We’re building the most comprehensive digital sovereignty platform to help countries and organizations meet their regulatory, security, and operational needs.
Today in London, we announced new capabilities across Microsoft Sovereign Cloud that enable customers to bring core
1/ Today’s enterprise tech news wasn’t about features.
It’s about a structural shift.
@AnthropicAI launches enterprise agents.
@Veeam introduces AI recovery.
@IBM embeds agents across ...software.
New firms building AI visibility layers.
All points to a key new trend… 🧵👇
My take: CIOs are not (yet) showing any interesting in vibe coding or spec coding their own CRM or ERP.
However, there is appetite — and growing quickly — for using AI to much more seamlessly ...integrate other systems with core IT like this. And keep it updated/upgraded/modern.
@OpenAI @Accenture @McKinsey @BCG @Capgemini 7/ Logical endgame #1:
Consultancies become AI operating system integrators.
➡️ Smaller workforce.
➡️ Higher leverage.
➡️ More platform ...dependency.
They evolve into “enterprise runtime managers.”
And maybe they finally solve their transition to value-based pricing.
It turns out that tech output productivity has tilted up sharply the last couple of years.
It’s clear that there is now a new ghost in the machine.
And it looks a whole lot like an LLM.
Overheard: The model is now the commodity. And the context is now the moat.
1/ Today @OpenAI launched its Frontier Alliances with @Accenture, @McKinsey, @BCG, and @Capgemini.
Goal: Move enterprises from AI pilots → Production AI coworkers.
This is bigger than a ...partnership.
They are aiming for a comprehensive restructuring of enterprise power.
🚨 ANALYST TAKE: OpenAI just partnered with the very management consulting firms AI is supposed to replace.
Here’s why this is NOT really a contradiction. It’s actually one of the key endgames... of enterprise AI.
Thread 🧵👇
we're partnering with @bcg @mckinsey @accenture and @capgemini to deploy openai frontier to enterprises globally
https://openai.com/index/frontier-alliance-partners
My take: MCP increasingly looking like a pre-agentic, pre-runtime view of how AI integrates with systems.
It assumes AI needs standardized, reflective tool discovery at run time. But we now see it ...doesn’t. It can just read the code, schemas, and docs itself. MCP essentially
unpopular (maybe?) opinion: MCP is dead in the water
@openclaw has shown me that api & cli will win.
every MCP server you connect loads its tool definitions into your context window. name, description, parameter schema, all of it. connect 10 servers with 5 tools each and
Get important insights straight to your inbox, receive first looks at eBooks, exclusive event invitations, custom content, and more. We promise not to spam you or sell your name to anyone. You can always unsubscribe at any time.
