By Lina Irawan 
The chilling reality of a $25.6 million deepfake fraud at Arup, a global design and engineering firm, has sent ripples through the corporate world, serving as a stark reminder of the escalating risks in our increasingly digital and AI-driven landscape. A finance employee, ensnared in a sophisticated scheme, transferred the hefty sum after participating in a video call where senior executives appeared, sounded, and moved with uncanny realism. The faces were indistinguishable from the real individuals, the voices mimicked their unique inflections perfectly, yet the instructions they conveyed were entirely fabricated. This wasn’t a mere phishing email; it was a psychological and technological coup, exploiting the very human instinct to trust authority figures, especially when presented with such convincing authenticity. The incident, which unfolded in Arup’s Hong Kong office, highlights a critical vulnerability: the erosion of trust in digital identities and communications, exacerbated by the rapid advancements in generative AI.
This alarming event is far from an isolated incident. The corporate world is littered with recent examples where the promise of AI has collided with the harsh realities of its current limitations and exploitable facets. Starbucks, a titan in the retail coffee industry, quietly decommissioned an AI inventory system a mere nine months after its deployment. Baristas across its vast network reported that the system, designed to optimize stock management, consistently miscounted products and, ironically, slowed down their work rather than streamlining it. The AI was "hallucinating" inventory levels, leading to operational chaos and staff frustration. Similarly, Deloitte’s Australian member firm faced significant repercussions, agreeing to partially refund the government for a $290,000 AI-assisted report. The report was found to contain fabricated court quotations and referenced nonexistent academic sources – egregious errors that undermined the integrity of the professional service provided.
These diverse failures – a deepfake financial scam, an operational AI misfire, and an AI-generated report riddled with falsehoods – stem from a common root cause: a fundamental breakdown of trust. Whether it’s the output of a system, the identity of a communicator, or the reliability of a technology, people could not place their confidence in what they encountered. This erosion of trust is not just an inconvenience; it represents a burgeoning crisis for businesses and society at large, threatening to decelerate progress and increase systemic fragility.
In an increasingly complex and interconnected global economy, trust is rapidly becoming a foundational economic infrastructure. Just as roads, power grids, and communication networks are essential for commerce, so too is the implicit and explicit confidence that underpins every transaction, partnership, and innovation. Companies that fail to engineer this essential element into their operations, products, and culture will find themselves moving slower, incurring greater costs, and ultimately losing market share. Without trust, capital becomes hesitant, partnerships falter, and scaling innovations becomes an insurmountable challenge. The cost of distrust manifests in myriad ways: increased due diligence, higher legal and compliance expenses, elevated insurance premiums, heightened regulatory scrutiny, and a palpable skepticism from both consumers and potential talent.
Conversely, when trust is robust, it acts as a lubricant for the global economy. Capital flows freely to promising ventures, strategic alliances form with greater ease, and companies can scale their operations and reach new markets with confidence. Trust, in this context, is not a naive, blind faith, but an earned confidence rooted in verifiable facts, authenticated identities, secure systems, honored contracts, and clear accountability when things inevitably go awry. From a business perspective, strong trust significantly reduces friction in operations and interactions. Strategically, it is the catalyst for speed, enabling agile decision-making and rapid execution in competitive environments.
America’s very genesis was predicated on a profound bet on trust. As the nation approaches its 250th anniversary, it’s crucial to recall that trust was not an afterthought but the central wager of its founding. The Declaration of Independence, often seen as a political manifesto, was also America’s initial "founding bet" on the capacity of free people. It laid the groundwork for a system designed to empower individuals to "build free," fostering an environment where entrepreneurship and innovation could flourish without the stifling hand of monarchical control. Furthermore, the "freedom to fail," a concept deeply embedded in American enterprise, emerged as one of its greatest competitive advantages, allowing for risk-taking and iterative progress. Beneath these pillars lay a more fundamental principle: the audacious belief that free people could govern themselves, take calculated risks, honor their commitments, and construct institutions resilient enough to withstand ideological disagreements and societal upheavals.
For millennia, societal order was typically imposed from above, predicated on the rulers’ inherent distrust of the populace. The Declaration of Independence radically inverted this paradigm. Its signatories, in pledging their lives, fortunes, and sacred honor, not only rejected the authority of a king but also placed immense trust in future citizens they would never meet and generations they would never see. This revolutionary act of faith became an unparalleled economic advantage. Entrepreneurs were liberated to innovate without requiring royal permission, investors gained confidence to back nascent ideas because property rights and contracts were legally binding and respected, and talent could ascend based on merit rather than birthright or patronage. While the system was inherently imperfect and faced profound challenges, its inherent capacity to self-correct and continually rebuild public confidence through democratic processes, the rule of law, and a free press became one of America’s most enduring strengths.
Today, artificial intelligence presents a new, unprecedented stress test for America’s foundational capacity for trust. AI holds transformative potential, capable of accelerating breakthroughs in scientific research, revolutionizing manufacturing processes, advancing medical diagnostics and treatments, optimizing logistics, and dramatically enhancing overall productivity. However, this same technology also possesses a formidable dark side. It can generate incredibly convincing falsehoods, replicate an executive’s voice with chilling accuracy to facilitate fraud, make opaque decisions that lack explainability, and automate errors at a scale and speed previously unimaginable. The solution is not to halt the development of AI, an endeavor that is both impractical and undesirable given its potential benefits. Instead, the imperative is to meticulously engineer trust into the very fabric of AI systems. This requires a multi-faceted approach: ensuring reliable data inputs, establishing traceable provenance for all data and model components, implementing robust identity controls to prevent impersonation, mandating independent testing and auditing, clearly assigning human accountability for AI failures, developing transparent rules for its deployment, and guaranteeing meaningful recourse when these sophisticated systems inevitably err. Without this embedded trust, even the most groundbreaking AI innovations will remain confined to pilot programs, unable to scale into reliable, widely adopted infrastructure.
America’s strategic competition with China in the realm of AI is not merely a race between individual algorithms or models; it is a profound clash between entire innovation ecosystems. This encompasses the ability to attract and retain top talent, foster cutting-edge research environments, mobilize significant capital investment, secure critical infrastructure, build resilient supply chains, facilitate widespread allied adoption, and ultimately produce commercially superior products that are trusted by users globally. The ecosystem that can most effectively earn and sustain confidence – through adherence to ethical principles, data privacy, the rule of law, and predictable regulatory frameworks – will be the one that attracts the largest pool of builders, buyers, partners, and investment, thereby gaining a decisive competitive edge.
The ramifications of trust deficits extend beyond national borders, leading to the fragmentation of global markets. An analysis by the International Monetary Fund (IMF) estimated that severe geoeconomic fragmentation could slash global output by as much as 7 percent. This staggering figure is not an argument for isolationism but a compelling case for clarity and strategic discernment. It underscores the importance of understanding geopolitical risks and their potential impact on global commerce. This is why I have previously advocated for every corporate board to have a comprehensive "China contingency plan." Companies must meticulously identify their critical technological and supply-chain dependencies, ascertain who controls these vital components, assess the trustworthiness of their data and technology providers, and anticipate the consequences if access to these essential resources were to disappear overnight due to geopolitical tensions or policy shifts.
The importance of designing trust into systems is a lesson I learned firsthand in the crucible of business before applying it in the complex arena of diplomacy. At Ariba, we spearheaded the transformation of procurement from antiquated paper-based processes and closed systems to a dynamic, global digital network. Similarly, at DocuSign, we challenged conventional wisdom by asking people to replace the centuries-old handwritten signature with a digital agreement. Neither of these profound transformations could have achieved widespread adoption and scale based on technology alone. Trust – encompassing identity verification, robust security protocols, system reliability, legal enforceability, and clear accountability – had to be meticulously engineered into the core of each product.
I observed the same fundamental principle during my tenure as U.S. Under Secretary of State, particularly while working to secure global 5G networks. The pivotal question was not merely which nation or company could build these networks fastest or cheapest, but rather who could be genuinely trusted to carry the world’s most sensitive data across critical sectors such as commerce, finance, healthcare, energy, transportation, and national defense. This bedrock principle became the cornerstone of the Clean Network initiative, which ultimately garnered the support of over 60 nations, representing nearly two-thirds of global GDP, and more than 200 telecommunications companies. This initiative successfully created a trusted digital ecosystem, demonstrating that trust is paramount when safeguarding critical infrastructure.
This same guiding principle informs the mission of the Global Trusted Tech Network at the Krach Institute for Tech Diplomacy. For CEOs and corporate boards, trust must transition from a nebulous concept or a public relations exercise into a rigorous management discipline. Every leadership team must be able to confidently answer four critical questions: First, can we verify with absolute certainty who is giving instructions, particularly for high-stakes decisions, to mitigate deepfake and impersonation risks? Second, can we trace the origin and lineage of our data and the outputs generated by our AI systems, ensuring transparency and accountability? Third, do we possess a comprehensive understanding of our critical technology and supply-chain dependencies, including who controls them and what the associated risks are? Fourth, is accountability unequivocally clear when a system fails, ensuring that responsibilities are assigned and corrective actions can be taken? Failure to address these questions does not merely pose a reputational risk; it represents a fundamental and existential operating risk that can cripple an enterprise.
America has a rich, albeit imperfect, history of rebuilding trust through struggle and self-correction. The enduring genius of the American system is not its unbroken record of trust, but its remarkable capacity to repair it. This is achieved through core democratic mechanisms: radical transparency, unwavering accountability, vibrant competition in both markets and ideas, the impartial application of the rule of law, the vigilance of a free press, and the foundational strength of self-government.
This ongoing work is central to initiatives like Freedom 250, which aims not only to commemorate the nation’s founding but also to vigorously renew the fundamental principles that enabled the American experiment to flourish. The Founders, in their audacious vision, entrusted future generations with the country they risked everything to create. That profound responsibility now rests squarely upon our shoulders.
Freedom, in its truest sense, can only be sustained when facts are verifiable, identities are authentically established, contracts are honored without question, leaders consistently earn the confidence of those they serve, institutions genuinely serve the public good, and citizens maintain faith and solidarity with one another.
In this transformative age of artificial intelligence, trust is not an antithesis to innovation; rather, it is the indispensable condition that allows innovation to scale from experimental pilots to foundational infrastructure. America’s future security and prosperity will not be achieved by replacing trust with rigid control, but by conscientiously earning it anew, day by day, in every sphere of society and technology. Two hundred fifty years ago, America staked its very existence on the audacious bet of trust. We must ensure that this profound bet continues to yield dividends for generations to come.
