Rory Sutherland warns that tech success requires unlocking the psychological door
The Double Lock of Business Success

In the high-stakes world of venture capital and startups, we often obsess over the technical specs. We want to know about the stack, the scalability of the code, and the novelty of the patent. But
Sutherland’s perspective is rooted in decades of direct marketing, a field he notes pioneered the randomized control trial decades before it became a staple of modern medicine. In his view, the tech world is littered with brilliant ideas that failed because the founders assumed the market would naturally gravitate toward a superior utility. Human beings are not the rational utility-maximizing machines described in economics textbooks. We are social animals, herd animals, and risk-averse creatures who often value the reduction of uncertainty more than the acquisition of a new feature.
Why Better and Cheaper Can Still Fail
Standard economic theory suggests that if you produce a product that is both higher quality and lower cost than the competition, you win by default. Sutherland calls this a "no-brainer" that frequently fails in the real world due to the too good to be true heuristic. Most humans possess a social intelligence that triggers suspicion when a deal looks too lopsided. If a clock radio is bigger, more powerful, and has more features but costs half as much as its rival, a consumer doesn't see high utility; they see a potential fire hazard or a scam.
Successful brands like
The Psychology of the Subscription Pivot
By allowing customers to keep three DVDs at a time with no late fees for $19.95 a month,
The Road to Inshittification
One of the most pressing dangers for mature tech companies is the process Sutherland calls inshittification. This occurs when a company, having achieved dominance through network effects, stops focusing on the consumer and begins focusing on extracting value for itself and its advertisers. The transition from "property developer" to "slum landlord" usually coincides with the departure of a visionary founder and the ascension of a Chief Financial Officer to the CEO role.
Behavioral Engineering in Modern Tech
While some brands are losing their way, others are using behavioral science to dominate new categories.
Similarly,
The Failure of Tech to Solve Human Problems
Despite the billions pouring into Silicon Valley, Sutherland is vocal about the tech industry's failure to address basic daily frustrations. He cites email as a prime example of a "time vampire" that has seen no significant innovation in twenty years. The fact that prioritization falls entirely on the recipient rather than being integrated into a calendar system is, in his words, a source of shame for the industry.
He also critiques the fashion-driven nature of venture capital, where money floods into "cool" categories like the metaverse while ignoring functional hardware that improves remote work. He points to the
Future Outlook: Iteration Over Intuition
As we look toward an AI-driven future, Sutherland warns against the assumption that AI should provide instantaneous, deterministic answers. Human preference is often iterative; we don't know what we want until we see a few options and react to them. A great AI shouldn't just find the "best" holiday; it should act like an estate agent, showing you options and refining its understanding of you based on your reactions.
The founders who will win the next decade are those who treat marketing and behavioral science with the same experimental rigor as R&D. We give engineers permission to fail during the prototype phase, but we expect marketers to be right immediately. This is a mistake. To truly ignite a market, one must be a psychological detective, willing to test counterintuitive ideas and find the hidden locks in the human mind.