The Trust Engine Sputters

The recent deepfake fraud that swindled $25.6 million from a global design firm has exposed the fragility of trust in an increasingly digitized world. The perpetrator’s ability to convincingly impersonate senior executives via video call highlights the perils of relying on AI-generated authenticity.

This is not an isolated incident, as several high-profile examples demonstrate: Starbucks’ hasty retirement of its AI-powered inventory system, Deloitte’s Australian arm’s botched AI-assisted report, and other cases where trust has been breached. The common thread is that people couldn’t trust the output, identity, or systems.

In many ways, trust has become an overlooked infrastructure pillar. Companies that can’t engineer it will stumble, losing momentum in markets. Conversely, when trust is strong, capital flows, partnerships form, and businesses scale with ease. When it falters, transactions stall, compliance costs skyrocket, and leaders retreat from risk-taking.

A Nation Founded on Trust

The United States was founded 250 years ago on a bet that trust would be the foundation of its success. The Declaration of Independence wasn’t merely a statement of principles; it was a gamble on free people governing themselves, taking risks, honoring commitments, and building institutions resilient enough to weather disagreements.

This founding principle has been tested over time. For most of human history, rulers have imposed order from above due to their mistrust of ordinary citizens with power. The Declaration flipped this script, trusting citizens who would never meet or see generations to come. This gamble paid off, creating an economic advantage: entrepreneurs could start without royal permission, investors backed ideas because property rights mattered, and talent rose based on merit.

AI as a Stress Test

Artificial intelligence is putting America’s capacity for trust to the test in real-time. On one hand, AI can accelerate science, manufacturing, medicine, logistics, and productivity. On the other, it creates convincing falsehoods, clones executives’ voices, makes opaque decisions, and automates errors at unprecedented speeds.

To harness AI’s potential without sacrificing trust, we must build reliable data, traceable provenance, strong identity controls, independent testing, human accountability, clear rules, and meaningful recourse into its core. Innovation without trust stalls at the pilot stage; innovation with trust becomes a foundational infrastructure.

The Global Competition for Trust

The strategic competition with China in AI is not just about individual models but entire innovation ecosystems: talent, research, capital, secure infrastructure, resilient supply chains, allied adoption, and commercially superior products. Ecosystems that earn the greatest confidence will attract builders, buyers, partners, and investment.

The High Cost of Trust Deficits

Trust deficits also fragment markets. An IMF analysis estimated severe geoeconomic fragmentation could reduce global output by as much as 7 percent. This is not an argument for isolation but for clarity – every board should have a China contingency plan, every company should know what it depends on, who controls it, whether its data and technology can be trusted, and what happens if access disappears overnight.

Building Trust into Systems

In business and diplomacy, I’ve seen the same principle apply: trust must be designed. At Ariba and DocuSign, we didn’t just deploy technology; we built identity, security, reliability, enforceability, and accountability into our products. In securing global 5G networks, it wasn’t just about who could build them fastest or cheapest but who could be trusted to carry sensitive data across commerce, finance, healthcare, energy, transportation, and defense.

Leadership and Trust

For CEOs and boards, trust must be a management discipline, not a communications campaign. Every leadership team should be able to answer four questions: Can we verify who is giving instructions? Can we trace the origin of our data and AI outputs? Do we know our critical technology and supply-chain dependencies? Is accountability clear when a system fails?

The American Capacity for Trust

America has rebuilt trust before, imperfectly and through struggle. The genius of the American system isn’t unbroken trust but its capacity to repair it through transparency, accountability, competition, the rule of law, a free press, and self-government.

As we look towards America’s next 250 years, we’re reminded that trust is not static – it can be earned, lost, and rebuilt. The work of Freedom 250 isn’t just about commemorating the past but about securing the future by designing trust into our systems and institutions.