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AI is moving fast. Trust has to catch up.

Photographic portrait of Whitt Butler
Whitt Butler

EY Americas Vice Chair – Consulting

4 minute read 20 Aug 2026

To unlock AI at scale, business leaders must design for trust.

In brief
  • Trust in data, outputs, infrastructure and human oversight enables organizations to expand AI beyond isolated experiments.
  • Embedding governance in workflows from the outset can reduce organizational debt, accelerate adoption and strengthen confidence.
  • Redesigning work around both AI autonomy and human judgment can turn responsible deployment into a source of growth.

Talk to most executive teams about AI right now and you’ll probably hear the same mix of excitement and hesitation. The technology is advancing quickly, investment is flowing, experimentation is underway — and the possibilities are clear. Yet at the same time, many leaders are still struggling to move out of the pilot phase and into enterprise-level impact.

This isn’t due to an absence of innovation; across industries, organizations are producing plenty of cool stuff. It’s not down to a lack of capital either; Gartner predicts global AI spending will top $2 trillion in 2026. Instead, the barrier is whether leaders are willing to let AI influence the decisions and workflows that really matter.

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Moving at the speed of trust

This doesn’t mean having blind faith in technology or ticking off a compliance checklist. After all, AI systems are already operating at a scale and speed that traditional governance can’t match. Instead, it means having the strategy and systems in place to move at the same pace.

 

Are your data sources accurate? Are your outputs explainable? Is your infrastructure solid? Do your workers know how and when to intervene in AI-driven processes? Trust is being able to answer “yes” to all these questions — and it’s what allows firms to move from experimenting in pockets to unlocking AI’s impact all over the organization.

 

When leaders trust AI, they delegate, step back and expect high-quality results. AI becomes a genuine peer. But when they distrust it, they second-guess every decision their team makes, scrutinize every output and hover over every action. It’s slow, ineffective and exhausting.

 

Built-in, not bolted on

Moving at the speed of trust starts with broadening how we think about it. Over the last couple of years, responsible governance has been a common executive catchphrase, backed up by controls, reviews and approvals.

 

Yet too often these systems show up late in the journey, narrowing the conversation around risk and compliance. When trust is addressed late, organizations accumulate process debt, technical debt and experience debt, which slows adoption and erodes confidence.

 

The same is true when governance policies sit outside the systems making decisions or are bolted on after the fact. If there’s no clear way of ensuring standards are enforced in how AI operates day to day, teams hesitate. But when trust is designed directly into workflows, data pipelines and models from day one, adoption accelerates and confidence compounds.

 

Employees use the tools because they believe in them. Leaders act on the insights because they trust where they came from. And customers get better experiences without needing them explained.

Humans are still the secret sauce

Too often, the conversation turns to AI replacing humans instead of empowering them. This creates anxiety and undermines trust before organizations even get started. Recent EY research shows a striking paradox: most employees are eager to work alongside AI agents and already see productivity gains, yet more than half worry about what those same tools mean for their job security. That tension isn’t driven by the technology itself, but by what’s missing around it — clear leadership direction, training and guardrails that define where human judgment is essential. The human is still the secret sauce.

The real opportunity is redesigning how work gets done. Leading organizations are rethinking end‑to‑end processes, clarifying where machines can operate autonomously and where human judgment must remain decisive. Trust is what gives leaders the confidence to make those shifts without slowing execution.

Trust is what turns AI into a competitive edge

Trust is no longer just a defensive move designed to mitigate risk or limit reputational damage. When it’s missing, organizations drag, second-guess outputs and limit where AI can be applied. All of which are a direct tax on growth. When it’s present, trust becomes a real source of separation that cuts across everything from customer relationships and employee experience to operations and brand.

This mindset elevates AI beyond a technology conversation about which tools to deploy and into a leadership decision about how it can change the way work is done. It also becomes everyone’s concern — and opportunity. When trust is present across all departments and functions, resistance drops and momentum builds. When leaders look beyond pilots to anchor their AI transformation and culture in trust, they can tie it directly to growth, margins, shareholder value and competitiveness.

Customers also engage more deeply when they believe AI-driven experiences are reliable and designed with their interests in mind. Talent gravitates toward companies whose brands project confidence about transforming rather than fear of being left behind.

AI’s impact will keep accelerating, but speed alone won’t separate leaders from laggards. Trust will. The organizations that pull ahead are the ones that design trust into how decisions are made, how work gets done and how people stay accountable. When trust is built in, AI stops sitting at the edges of the business and starts reshaping it. That’s when AI becomes a durable competitive advantage.

This article was originally published on FastCompany.com.

Summary 

Organizations can capture more value from AI by treating confidence as an operating capability rather than a final compliance check. That requires dependable data, transparent outputs, resilient infrastructure and clear accountability for human intervention. 

About this article

Photographic portrait of Whitt Butler
Whitt Butler
EY Americas Vice Chair – Consulting
Transformational leader driven by values and purpose. Global strategist and innovator. People-focused team builder. Proud husband and father. Golf enthusiast.
Related topics
Consulting
AI

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