Why your AI strategy needs a purpose check

Artificial intelligence is moving faster than most companies' governance structures can keep up with. As organizations integrate AI across operations, marketing, and stakeholder engagement, a risk is emerging: purpose drift. This is the gradual, often unintentional gap between how a company deploys AI and the values it has publicly committed to uphold.

The Stakes Are Real

Trust in AI is eroding, not growing. According to the 2024 Edelman Trust Barometer, global trust in AI companies has fallen from 61% five years ago to 53% today, with an even steeper decline in the United States. At the same time, AI adoption keeps accelerating: IBM's 2023 Global AI Adoption Index found that 42% of enterprise-scale companies have already deployed AI in their operations, with another 40% exploring or experimenting with it.

Put those two facts together and the picture is clear: adoption is outpacing trust. For companies that have spent years building a credible social impact and sustainability narrative, that gap represents real reputational exposure. When an AI tool trained on biased data produces discriminatory outputs, or when an algorithm optimizes for efficiency in ways that undermine a stated commitment to equity or environmental responsibility, the damage goes beyond the technical. It becomes a trust problem, and trust, once broken with employees, customers, and communities, is hard to rebuild.

Purpose Drift Is a Governance Failure

Here is the core issue: most AI governance conversations happen in IT departments, legal teams, and boardrooms focused on risk mitigation and compliance. Those conversations matter, but they are not enough. They rarely ask the deeper question: does this AI application actually reflect who we say we are?

At Carol Cone ON PURPOSE, we have spent more than four decades helping companies define, operationalize, and protect their social commitments. What we see now is that those commitments are increasingly tested not just by human decisions, but by algorithmic ones. A company can have a well-articulated ESG strategy and still deploy AI tools that contradict it, simply because no one built the bridge between corporate values and technology governance.

Some argue that AI ethics is already covered by emerging regulatory frameworks, such as the EU AI Act or voluntary commitments like the White House's AI Safety Commitments. Regulation matters, and compliance is a floor, not a ceiling. But regulatory frameworks are built around legal thresholds. They will not protect a company from the reputational fallout of an AI application that is technically legal but fundamentally at odds with its stated values. Governance and purpose alignment are related, but they are not the same thing.

A Path Forward: Build the Bridge

Companies serious about protecting their purpose commitments in the age of AI can take four concrete steps:

1. Audit AI use cases through a values lens. Every deployed or planned AI application should be evaluated not only for legal compliance and performance, but for alignment with stated corporate values, DEI commitments, and sustainability goals.

2. Create cross-functional AI oversight. Bring purpose, sustainability, and communications leaders into AI governance conversations, not just legal and technology teams. These functions carry institutional knowledge about stakeholder expectations and brand promises that technical teams may not have.

3. Establish clear escalation protocols. When AI outputs conflict with stated values, there should be a defined process for surfacing, reviewing, and resolving that conflict before it becomes a public issue.

4. Be transparent with stakeholders. Share clear, honest language about how AI is being used, what safeguards are in place, and how the company monitors for alignment over time. Stakeholders respond well to candor.

The companies that lead in this space will be the ones that treat AI governance as an extension of their values infrastructure, not just a compliance exercise. Purpose and technology are not in opposition, but connecting them takes intentional leadership.

The window to get ahead of this is open now. The companies that act before a crisis forces their hand will be the ones stakeholders trust most. Interested in digging deeper on the topic of purpose and AI? Download our Purpose x AI guide here.