Forbes Business Council Article: Why Digital Integrity Is The Next Competitive Advantage

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This article was written for Forbes Business Council, of which the author is a member. The original article can be found on the Forbes website.

Matthew Gantner is the CEO and Founder of Altum Strategy Group.

AI has moved from the lab to the boardroom, shaping decisions, defining strategies and influencing lives. Its impact is no longer experimental—it’s existential. Every CEO I speak with is deploying AI to sharpen decisions, automate operations and accelerate growth. The speed of adoption is staggering.

Yet one issue consistently lags behind: digital integrity, or the alignment between how technology performs and how responsibly it is governed.

In my view, integrity shouldn’t be a slogan; it needs to be a strategy. I believe organizations that embed integrity into their digital transformation will be the ones that endure. In the AI age, performance alone isn’t enough. The winners will scale innovation and integrity together.

When Speed Outruns Integrity

For years, Silicon Valley’s mantra was “move fast and break things.” That ethos worked when what broke were product features. Today, what’s at stake are livelihoods, privacy and opportunity. When an algorithm makes a biased hiring decision or misuses personal data, that’s not a software glitch; it’s an integrity failure. And in this era of exponential scale, failures compound fast.

A Widening Integrity Gap: What The Data Says

I believe data shows there’s a widening integrity gap between technological capability and public confidence. AI adoption is accelerating beyond the pace of accountability.

• McKinsey found that 88% of respondents to its global survey now use AI in at least one business function, compared to 78% last year.

• The global AI market is projected to hit $254.5 billion this year and exceed $1.6 trillion by 2031.

• A Cisco 2024 survey found that 53% of consumers are aware of privacy laws, and those who are informed are nearly twice as confident in protecting their data.

However, consumers are skeptical of AI-driven systems they can’t see inside. In Deloitte’s 2024 Connected Consumer Survey, 68% said they were concerned about being “fooled or scammed by GenAI content.” Employees, too, are wary: Many want AI to amplify human potential, not eliminate it.

To me, the message is clear: AI is scaling faster than the systems needed to ensure credibility. While investors and regulators are working on catching up—U.S. federal agencies proposed 59 AI-related regulations in 2024, more than double the number in 2023—I believe the gap between capability and trust is widening, and it’s quickly becoming the next frontier of competitive advantage. Consider, after all, that in 2024, customers who trusted technology providers spent 50% more on connected devices than those who didn’t, according to Deloitte.

Building Digital Integrity

Digital integrity isn’t just about compliance; it’s a performance strategy. It’s the foundation that enables sustainable innovation. My company uses a framework that rests on three pillars: transparency, ethics and accountability.

1. Radical Transparency

Transparency isn’t a tagline; it’s infrastructure. Organizations should make clear where AI is used—in hiring, pricing or customer service—and adopt explainable AI (XAI) so humans can interpret algorithmic outcomes. For example, if AI is used to evaluate whether a loan is approved, XAI would provide the rationale for the loan decision. Transparent systems turn skepticism into informed confidence.

2. Embedded Ethics

Ethical design is the architecture of longevity, but ethics only matter when operationalized. Cross-functional ethics councils should be part of product design, not PR cleanup. Bias and fairness testing should happen before any launch, and integrity-focused key performance indicators (KPIs) should be tied to executive performance.

KPIs should reflect your company’s specific AI risks and strategic goals. For instance, KPIs might include the completion rate of XAI reviews for critical algorithmic decisions for hiring or loan applications, as well as the audit frequency of live AI systems to test for bias or information drift.

3. Accountable Governance

AI should amplify, not replace, human decision-making. Define human-in-the-loop checkpoints, and audit live systems for bias or drift to ensure innovation remains responsible. Accountability doesn’t slow progress; it safeguards it.

The Integrity Dividend

Integrity isn’t a moral accessory; it’s a measurable advantage. In my experience, customers stay loyal when their data and dignity are respected, employees stay engaged when they trust how technology is used, investors reward governance maturity and transparency, and regulators favor proactive disclosure over damage control.

Organizations that treat integrity as a strategic lever, not a compliance chore, can position themselves to outperform those that don’t. I believe digital integrity compounds resilience, credibility and value.

Leading With Conviction

For leaders, this shift requires more than compliance; it requires conviction. Audit your AI practices for ethical blind spots. Define measurable KPIs for transparency and oversight. Align engineering teams with governance frameworks from the start and communicate with candor when things go wrong.

AI will continue to redefine competitive advantage, but integrity will determine who earns the right to lead.

Ultimately, I don’t see integrity as a constraint; it’s the foundation for lasting innovation. The organizations that thrive in this new gold rush won’t just build smarter systems; they’ll build systems people believe in.