Bill Briggs, CTO of Deloitte, shares findings and advice for Chief Information Officers (CIOs) from the 2026 TechTrends report: 93% of enterprise AI spending goes to technology and tooling, while only 7% of funding goes to culture, change management, and learning. Briggs explains why this imbalance drives failed pilots and runaway costs, and what leaders should do about it.

📌 KEY POINTS

-- Your AI spending ratio is upside down

Enterprises allocate 93% of AI budgets to technology and tooling, while devoting only 7% to culture, change management, and workforce learning. Leaders who invest first in simplifying processes from first principles, before adding AI, consistently produce the strongest returns.

-- Frontline trust in AI sits at 6.7%, and it's costing you

C-suite executives report 70% trust in AI, while entry-level workers register only 6.7%, creating an inverted value chain where the people closest to broken processes stay silent. Organizations can close this gap by declaring intentions upfront and making it safe for workers to experiment openly, rather than hiding behind personal AI tools.

-- Measure outcomes, not agent headcount

Companies broadcasting "tens of thousands of agents" substitute effort metrics for evidence of value; if real business results existed, those numbers would be the headline. Tie every AI initiative to specific operational and financial metrics and kill pilots that result in press releases but no movement that benefits shareholders and employees.

YOU'LL DISCOVER:

✅ Why applying AI to an inefficient process "weaponizes inefficiency" and drives costs through the roof

✅ How trust in AI drops from 70% at the C-suite to 6.7% at the frontline, and why this inverted gap blocks real value

✅ Why hospitals are putting robots on org charts and holding naming competitions for AI coworkers

✅ The specific governance frameworks enterprises need for a workforce of AI agents (modeled on the HR lifecycle)

✅ How inference costs create sticker shock and when to shift from cloud to dedicated hardware

✅ Why Briggs says the CIO's most important skill is now storytelling, not systems architecture

✅ What "success theater" looks like and how to spot it in your own organization

✅ Why 99% of enterprises are fundamentally transforming their IT organizations right now

⏱️ TIMESTAMPS

0:00 Deloitte's CTO: Spend less on technology

0:20 The 93/7 AI spending imbalance

3:59 Why a technologist argues against more tech investment

5:43 State of enterprise AI: 30% reach production scale

8:05 Treating AI deployment like onboarding a coworker

10:29 AI itself means nothing without culture change

13:14 Redesigning work from first principles

16:51 Quantifying AI financial risk and token economics

20:03 Inference costs, shadow IT, and runaway bills

23:14 The trust gap: 70% at the top, 6.7% at the bottom

26:47 Governing a workforce of AI agents

32:15 Success theater vs. real business metrics

37:37 Responsible deployment, guardrails, and OpenClaw lessons

42:37 How AI is transforming the CIO role

46:05 Why storytelling is the CIO's most important skill

50:02 Human times machine: the essential equation

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💬 Read show notes and get the transcript: https://www.cxotalk.com/episode/deloitte-cto-on-the-ai-investment-trap-cio-advisory-2026

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CXOTalk features unfiltered conversations with C-suite executives from major companies about AI, digital transformation, and business strategy. Hosted by Michael Krigsman.

Episode 912 | Recorded March 15, 2026

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Deloitte CTO: Advice to CIOs on Enterprise AI | CXOTalk #912

CXOTalk

Deloitte CTO: Advice to CIOs on Enterprise AI | CXOTalk #912