The debate surrounding the proposed removal of SEC rule 611 has focused largely on market structure. But for institutional investors, the more significant implication lies elsewhere: best execution will increasingly depend on judgment rather than prescribed mechanics.

Rule 611’s order protection rule has long influenced how orders are routed across US equity markets. Should those requirements ultimately be relaxed, the obligation to achieve best execution remains unchanged. If anything, it becomes more demanding.

Rather than relying on a regulatory framework to dictate routing behaviour, trading desks will increasingly be expected to demonstrate that every broker selection decision is supported by objective evidence, historical performance, and sound governance.

Viewed in isolation, this appears to be another incremental regulatory change.

It isn’t.

While Europe continues to debate whether markets should evolve, the US is already implementing change. Extended trading hours are becoming a reality. Artificial intelligence is moving rapidly from experimentation into production. Exchanges continue to invest heavily in market infrastructure, while regulators are demonstrating a willingness to revisit rules designed for a very different era.

None of these developments exists in isolation.

Taken together, they point toward a common objective: ensuring that US capital markets remain the world’s most attractive destination for capital, liquidity, and innovation.

Having spent considerable time in both regions recently, the contrast is striking. Europe is still largely debating the pace and direction of market structure reform. The United States is increasingly focused on implementation – building infrastructure, embracing artificial intelligence, and creating an environment designed to attract capital, issuers, and innovation.

A company deciding where to list increasingly considers more than valuation alone. Liquidity, investor access, technology, market resilience, and the depth of the institutional investor base all play a role. As markets evolve toward extended trading hours, issuers stand to benefit from greater engagement with US investors, while those investors gain increased flexibility to access securities across a broader trading day.

The market itself becomes a more competitive product.

At the same time, AI is fundamentally changing how trading decisions are made.

For decades, best execution has largely been measured after the event. TCA has become exceptionally sophisticated at explaining yesterday’s performance. Yet markets have become faster, more fragmented, and significantly more complex. The question is no longer simply whether a trade achieved best execution.

It is whether the best possible decision was made before the order ever reached the market.

That distinction may define the next decade of institutional trading.

In a world where liquidity is increasingly dynamic and execution quality depends upon thousands of observable variables, static broker lists and periodic reviews inevitably become less effective. The competitive advantage shifts toward firms capable of making consistently better decisions in real time.

Across the industry, trading desks continue to devote considerable time to manually maintaining broker lists, adjusting routing preferences, managing minority broker allocations, monitoring commission targets, and ensuring internal execution policies remain aligned with business objectives. These processes are essential to good governance, but they remain largely administrative, relying on spreadsheets, institutional knowledge, and constant human intervention.

AI offers a fundamentally different model.

Rather than asking traders to continually maintain broker relationships and allocation rules, AI can act as a permanent corporate memory – understanding firm-wide policies, historical behaviour, broker commitments, and governance requirements, then applying them consistently to every order. Minority broker objectives, strategic broker relationships, and commission allocation targets no longer need to compete with execution quality. They become constraints that are intelligently balanced within every recommendation.

The role of the trader therefore evolves. Less time is spent maintaining the framework around broker selection, and more time is devoted to exceptions, judgment, and the situations where human expertise genuinely adds value.

This is where a new category of technology is beginning to emerge.

Rather than replacing existing execution management systems or TCA platforms, firms are increasingly introducing an independent intelligence layer within the existing workflow. Historical execution outcomes, collaborative market intelligence, firm-specific policies, and machine learning are combined to recommend the broker most likely to deliver the best outcome for each individual order, while simultaneously satisfying governance requirements and creating a fully auditable explanation behind every recommendation.

The significance extends well beyond one proposed SEC rule.

Technology is increasingly replacing prescription. Data is replacing assumption. AI is moving from the periphery of the trading desk to the centre of the investment process.

The firms that recognise this shift earliest are unlikely to compete simply by trading faster.

They will compete by making better decisions.

As America marks 250 years since declaring its independence, it is also demonstrating a continued willingness to challenge convention, modernise its markets, and compete for global leadership.

The next evolution of best execution has already begun.