Enterprises are rapidly deploying artificial intelligence to manage customer relationships, yet a contrarian view is gaining traction among business operators: the real competitive advantage lies in identifying when to inject human judgment into the equation. AJ Agrawal, an entrepreneur and columnist whose forecasts have appeared in publications including Forbes, CNN, Inc. Magazine, Fortune, Fast Company and Entrepreneur.com, argues that companies willing to deploy senior leadership at pivotal customer moments will capture what he terms "the human premium."
The moment that sparked the idea
Agrawal's thesis crystallized around a specific incident. Peter Steinberger, creator of OpenClaw, an open source AI agent, posted on X that the application's Android version had languished in Google Play review for more than a week. Sundar Pichai, Google's CEO, responded 31 minutes later on a Saturday with four words: "Ack, will follow up." The app update went live shortly after. The exchange accumulated 334,000 views.
This incident prompted Agrawal to investigate whether other executives were similarly engaging with customers directly. He discovered a pattern: when senior leaders personally respond to customer issues, their replies generate substantially more engagement than identical responses from corporate accounts. The underlying reason, he concluded, is straightforward—authentic human interaction from a decision-maker has become uncommon enough to be remarkable.
What the human premium means
The human premium operates on two mechanisms. First, scarcity: when a customer's preceding ten interactions originated from automated systems, the eleventh from an actual person becomes conspicuous. Second, signaling: a machine message carries minimal cost to transmit and therefore conveys little about the customer's importance, whereas a person's time is universally understood as finite and valuable.
The premium intensifies when the responding individual possesses decision-making authority. Steinberger's interaction with Pichai carried weight precisely because the person who answered could resolve the problem directly. This authority component proved essential to the exchange's impact.
Agrawal emphasizes this is not an argument against artificial intelligence. He employs AI daily in his own work and research. Rather, he contends that winning companies will calibrate the balance precisely: AI will manage volume while humans will address moments of genuine consequence.
Executives leading by example
Several business leaders have embraced this practice. Mark Cuban, renowned among entrepreneurs for personally processing his email, reportedly receives approximately 750 messages daily and responds to at least 150 of them. Founders discuss this habit with what Agrawal describes as near-fanatical admiration, valuing the simple fact that Cuban acknowledges their correspondence.
David Graham, Senior Vice President of Customer Success at Intuit, has become Agrawal's most inspirational example. Graham actively monitors his LinkedIn feed for customer complaints and responds personally. A viral post documented how Graham assisted a customer locked out of her QuickBooks account on a Saturday. He texted with her for over an hour, listened to her complete support call, and transformed her from someone considering cancellation into a public advocate for Intuit. An Intuit support employee commented that she intended to share the post with her entire team, demonstrating how such leadership conduct cascades through an organization.
Addressing the skeptics
Critics raised valid objections to Graham's intervention. Some noted the customer possessed a substantial social media following, while others pointed out that an SVP cannot personally handle every escalation. Both observations hold merit. Customers without large audiences deserve equal access to resolution pathways, and executives cannot realistically address every case. The value of these interventions derives precisely from their selectivity.
The genuine challenge involves constructing systems that route critical moments to appropriate leaders swiftly, regardless of customer profile, then addressing underlying issues so subsequent customers never require executive intervention.
What customers actually prefer
Research reveals a substantial gap between customer preferences and corporate practice. When Gartner surveyed 5,728 customers, 64% stated they would prefer companies avoid AI for customer service entirely, while 53% indicated they would consider switching providers if a company deployed it. A 2025 SurveyMonkey study found that 79% of Americans strongly favor human interaction over AI agents, with only 8% preferring the automated alternative.
Companies are automating precisely the interactions customers most want handled by people. This misalignment creates the opportunity Agrawal identifies.
Testing personalization in practice
Agrawal has experimented with personalized outreach in his own work. He prioritizes crafting individual emails over maximizing volume, finding that 100 carefully tailored messages consistently outperform 5,000 generic ones. He also produces personalized videos for specific prospects, a labor-intensive process requiring multiple takes. While the investment per video is substantial, the results justify it: his cold video outreach has generated more than 10 meetings with Fortune 500 executives.
These videos appear to perform better now than before widespread AI adoption, though Agrawal cannot definitively prove causation. His working hypothesis suggests that as AI usage expands, human effort yields disproportionately larger returns. The distinction becomes most apparent in initial meetings. When a senior executive accepts a meeting from generic AI outreach, they approach it as one of many vendor pitches. When Agrawal reaches out with personalized communication or a brief video, they recognize the research investment and receive something unexpected. This generates trust before the conversation even begins—a more valuable outcome than simply achieving a higher reply rate.
Accounting for customer preferences
Not all customers value human contact equally. A 2024 Five9 survey found that 66% of Gen Z prefer human support, compared to 86% of Baby Boomers and older customers. Age does not fully explain the variation, however. Agrawal notes that despite growing up with technology and considering himself forward-thinking, he still chooses to interact with a cashier rather than use self-checkout, valuing the opportunity for personal connection.
The challenge for enterprises involves determining which communication method each customer actually prefers, then offering it. Some customers want automated assistance at midnight; others want a name and phone number. This variation requires nuanced systems rather than one-size-fits-all approaches.
Measuring success carefully
Executives considering this approach must measure outcomes rigorously. Executives rarely intervene randomly—they typically engage with largest accounts or those already at risk. Comparing these accounts to the general customer base primarily measures who received preferential treatment rather than the intervention's actual impact.
Proper measurement requires matching accounts that received executive attention with similar accounts that did not. Document why the executive intervened, since saving an at-risk account differs fundamentally from responding to a thank-you message. When feasible, determine who receives outreach before observing outcomes. Calculate the cost as well, since a senior leader's time carries significant expense and must be weighed against resulting retention and expansion.
Agrawal's boldest forecast: companies currently track support team response times, but within five years they will measure how frequently senior leaders personally contact customers and what happens to those accounts afterward. He expects that personal executive engagement, exemplified by Pichai's reply, will become a standard component of executive job descriptions.
Source: The Next Web
