Barry Diller trusts Sam Altman. But ‘trust is irrelevant’ as AGI nears, he says.

Barry Diller’s recent endorsement of Sam Altman underscores a growing confidence among industry veterans that OpenAI’s leadership can steer the rapid evolution of artificial general intelligence. Yet Diller is quick to remind us that “trust is irrelevant” when the technology itself is still an unpredictable force. This duality—confidence in the people behind the product and caution about the product’s trajectory—mirrors the dilemma facing anyone who relies on data‑driven tools today. As we watch AI‑native spreadsheets reshape how teams manipulate information, the same guardrails Diller calls for in AGI become the blueprint for responsible innovation in our own domain.

The conversation around AGI is not isolated. It echoes the practical steps other tech leaders are taking to embed safety into emerging platforms. For example, Waymo’s recent software recall to make its robotaxis more cautious around flooded areas demonstrates a proactive approach to risk mitigation that goes beyond hype and into tangible user protection. Similarly, Google’s “Create My Widget” feature, set to debut on Samsung Galaxy and Pixel phones, showcases how companies can democratize complex code generation while still keeping the user experience grounded and secure. Both stories illustrate a broader industry pattern: as capabilities expand, the imperative to build transparent, accessible safeguards grows louder.

What makes Diller’s warning especially relevant to spreadsheet users is the parallel between AGI’s “unpredictable force” and the hidden complexity of today’s data pipelines. AI‑augmented spreadsheets promise to automate formula creation, suggest insights, and even rewrite entire models in seconds. The promise is transformative, but without clear guardrails, users can inadvertently embed bias, misinterpret automated recommendations, or expose sensitive data to unintended parties. Diller’s call for oversight therefore translates directly into a need for built‑in audit trails, version control, and explainable AI layers within spreadsheet environments. When the technology can rewrite itself, the human‑centered focus must shift from merely “using” the tool to actively “governing” it.

From a strategic standpoint, the conversation also reframes how we evaluate vendor credibility. Trust in a CEO or a brand is no longer sufficient; organizations must assess the maturity of the underlying safety frameworks. This is where progressive, accessible solutions stand out: they empower users to explore AI capabilities while providing clear, actionable guidance on risk. The market is already rewarding products that balance innovation with transparency, and the same principle will dictate adoption curves for AI‑native spreadsheets. Companies that embed guardrails at the design stage will not only avoid regulatory pitfalls but also earn the confidence of users who, like Diller’s audience, are wary of unchecked power.

Looking ahead, the critical question is how quickly the industry can translate the lessons from autonomous vehicles and large‑scale AI platforms into everyday productivity tools. Will spreadsheet innovators embed the same level of safety engineering that Waymo applies to its robotaxis, or will they rely on user vigilance alone? As AGI inches closer to reality, the answer will shape not just the future of data management but the broader narrative of how humanity co‑exists with increasingly autonomous systems. The conversation has just begun, and the next wave of guardrails will determine whether we truly empower users or simply hand them a more powerful, yet still unpredictable, instrument.