Desiree Sainthrope stands at the intersection of law, global trade, and technological evolution, bringing a seasoned perspective to the complexities of modern governance. With an extensive background in drafting trade agreements and navigating the intricate webs of global compliance, she has become a leading voice in the movement to rethink how we measure the success of government intervention. She views regulation not merely as a hurdle for businesses to clear, but as a fundamental structural determinant of a nation’s prosperity and its capacity for innovation. In this discussion, we explore the limitations of current “better regulation” initiatives, which often prioritize surface-level simplification over a deep understanding of market dynamics. Sainthrope illustrates the “impact-response paradigm,” showing how regulatory signals can inadvertently redirect billions of euros into defensive strategies, stifle life-saving pharmaceutical breakthroughs, and even lead to counterproductive environmental outcomes in everyday household tasks.
Regulatory reviews often focus on the immediate administrative burdens and direct compliance costs. What are we missing when we restrict our view to these surface-level metrics?
When we fixate solely on the direct administrative costs, we are essentially acting like a treasure hunter who only scans the surface of the sand, completely missing the deeper, more valuable dynamics beneath. This narrow focus, often driven by the standard cost model, provides a tangible and politically attractive narrative because it deals with measurable units of time and money spent on paperwork. However, this approach is fundamentally static and ignores the most critical question: how does the regulation actually change the behavior of the market? By ignoring the “impact-response paradigm,” governments fail to see how a new rule might cause a firm to completely reallocate its capital or abandon a promising innovation trajectory. For small and medium enterprises, these direct costs are indeed a heavy weight, often because they lack the human capital to absorb the shock, but for the broader economy, the real “treasure” lies in understanding the long-term shifts in investment and efficiency. We must move beyond simple cost-focus methodologies to capture the full range of regulatory impacts, or we risk creating a business environment that is “simple” on paper but stagnant in practice.
You often discuss the “impact-response paradigm” as a way to understand how businesses react to new rules. How does this shift in perspective change the way we evaluate a regulation’s success?
The “impact-response paradigm” forces us to acknowledge that regulation is a powerful signal that shapes expectations and decisions across the entire economy. It is not just a set of rules; it is a structural force that influences whether a company decides to invest in a breakthrough technology or shift its resources toward mere survival. When we adopt this dynamic perspective, we start to see how interventions affect investment cycles and the utilization of scarce resources over many years. For instance, a poorly designed ban can lead to a much longer time-to-market for essential goods and a spike in capitalized development costs, which effectively acts as a deterrent for research and development. Success should not be measured by how many pages we’ve cut from the legal code, but by whether the remaining rules encourage productive innovation or force companies into a defensive crouch. If a regulation diverts resources away from genuine progress just to sustain basic functionality under new constraints, it has failed, regardless of how “simplified” the administrative process might be.
The case of fragrance encapsulation in laundry products seems like a minor technicality, but it illustrates a massive unintended consequence. Could you explain how this specific regulation could actually hurt the environment?
The situation with fragrance encapsulation is a perfect example of a “risk-risk trade-off,” where a regulation intended to solve one problem inadvertently creates a much larger one. This technology is vital for preserving aromatic molecules in laundry products, providing that sense of long-lasting freshness that consumers value. Research suggests that if this technology is restricted, we are likely to see a 2 to 3 percent increase in rewashing by consumers who feel their clothes simply don’t smell clean. In the European Union alone, that translates to a staggering 1 billion additional washes every single year. When you factor in the massive surge in water consumption, the extra electricity needed, the higher carbon emissions, and the increased release of micro-fibers into our waterways, the environmental cost is devastating. This is the sensory reality of a “life-cycle impact” that traditional reviews almost never capture; it’s an emotional and behavioral response that turns a well-intentioned rule into an environmental setback.
Looking back at the biopharmaceutical industry in the 1990s, how did regulatory choices contribute to Europe losing its lead to the United States?
Europe’s loss of leadership in the biopharma sector is a sobering cautionary tale about the dangers of technology stigmatization and precautionary regulatory choices. In the early 1990s, Europe was actually investing 50 percent more than the United States in this field, but that lead evaporated as the regulatory environment became increasingly hostile and unpredictable. By 2004, Europe’s share of global pharmaceutical innovation had plummeted to a mere 18 percent, while the United States saw its share climb to 62 percent. Between 1990 and 2017, the R&D growth rate in the U.S. was nearly double that of Europe’s, leading to a reality where nearly half of all new therapies originated in America, compared to just one-quarter in Europe. The emotional weight of this shift is felt most by patients, who have faced delayed access to breakthrough drugs for cancer and rare diseases because developers found the European market too complex and slow to scale. The proposed European Biotech Act is a late-stage attempt to fix these structural failures, but the decades of lost innovation and the thousands of clinical trials that never happened represent a profound cost to societal well-being.
The agricultural machinery sector has also faced significant hurdles due to emission standards. How has “defensive R&D” impacted the competitiveness of European manufacturers?
In the agricultural machinery sector, we saw a classic example of regulatory misalignment where EU emission standards for heavy farm equipment were made equivalent to those for passenger vehicles, despite the vastly different risks involved. This forced manufacturers to divert an incredible 70 to 80 percent of their entire R&D budget simply to develop compliant engine technologies, a phenomenon we call “defensive R&D.” Over 10 billion euros were spent globally just to achieve these targets, which didn’t necessarily result in better tractors, but certainly resulted in a 25 percent increase in the cost of new vehicles. The fallout was heartbreaking for the industry; many small European manufacturers were forced to close their doors because they couldn’t sustain that level of non-productive investment. Furthermore, because new equipment became so expensive, farmers kept their older, more polluting vehicles in the field for much longer. Instead of reducing emissions, the regulation inadvertently led to higher total emissions, proving that when you ignore the economic reality of the sector, you end up with a restructure that destroys small businesses and harms the environment.
In the financial services sector, anti-money laundering regulations have become incredibly expensive. Why are these high costs not necessarily translating into a safer financial system?
The global regulatory model for anti-money laundering is currently trapped in a cycle of process-checking rather than crime-fighting. Financial institutions are burdened with extensive obligations that trigger compliance costs exceeding $180 billion per year globally, yet the focus has shifted almost entirely toward avoiding fines, which can top $1 billion for a single institution’s process failings. Because the penalties for “getting the paperwork wrong” are so high, banks prioritize managing their own reputational and legal risks rather than actually identifying and stopping criminals. This has led to the damaging phenomenon of “de-banking,” where legitimate businesses in perceived high-risk areas are cut off from the financial system, creating systemic uncertainty. It’s a tragic misallocation of capital where billions are spent on bureaucracy while new forms of crime, like extortion, emerge in the shadows of these rigid systems. We are spending a fortune to create a veneer of safety, but the “impact-response” from the banks is to retreat from risk altogether, which actually weakens the global economy and reduces competitiveness.
If the current wave of simplification is only the beginning, how should businesses and policymakers collaborate to “dig deeper” into these regulatory impacts?
The path forward requires a fundamental shift where “understanding more” becomes the priority, rather than simply “doing less.” Businesses hold the key to this transition because they possess the first-hand data and international experience needed to predict how a new rule will ripple through an industry. They should be encouraged to share studies on the full range of dynamic life-cycle impacts—showing not just the cost of a permit, but how that permit might delay a product’s market entry by two years and increase development costs. Policymakers, on the other hand, must embrace dynamic impact analyses as the most important factor in their economic evaluations, using them to redesign policies when the real-world outcomes fall short of expectations. This isn’t about deregulation for its own sake; it’s about providing a stronger evidence base so that regulatory interventions are truly proportionate and relevant to the modern world. We need to move the debate from the sheer quantity of rules to the quality of their design, ensuring they serve as catalysts for prosperity rather than anchors on innovation.
What is your forecast for the future of regulatory policy in high-tech and highly regulated sectors?
I believe we are entering an era of “regulatory humility,” where governments will increasingly realize they cannot predict every outcome of a complex market through a static lens. My forecast is that we will see a move away from precautionary, stigma-based regulations toward more agile, data-driven frameworks that emphasize “impact-response” monitoring in real-time. We are already seeing the first signs of this with initiatives like the European Biotech Act, which acknowledges that past failures have cost the region its competitive edge. In the next decade, the most successful jurisdictions will be those that treat regulation as an evolving partnership with the private sector, using sophisticated modeling to avoid the “risk-risk” traps we’ve seen in the chemical and automotive industries. If we can move from a focus on surface-level simplification to a deep understanding of how rules shape real-world incentives, we can finally unlock the true value of better regulation and ensure it delivers on its promise of efficiency, competitiveness, and genuine societal well-being.
