The ideal portfolio is often easy to imagine. The challenge is getting there.

For many investors, the portfolio they own today is not the portfolio they ultimately would want to hold. The gap between the two is often shaped by embedded gains, which can reflect successful investment outcomes but can also result in potential tax liabilities and other real-world frictions that make portfolio changes costly to implement. Investors and advisors must constantly weigh the benefits of portfolio improvements against the cost of making them.

Much of the conversation around tax-aware portfolio management centers on navigating those trade-offs. The transition often becomes the focal point.

But a portfolio is never done. By the time one transition is complete, the next reason to change it is already underway.

Markets move. Gains accumulate. Models evolve. Objectives change. Withdrawals occur. Losses surface. The same framework advisors use to navigate a major portfolio transition can be applied continuously, to every decision, for every client, and at scale.

That shift, from a one-time exercise to an ongoing capability, is where firms can create lasting value for taxable investors.

Here's why.

Tax considerations are part of ongoing portfolio management

Much of the same decision-making that takes place during a portfolio transition continues throughout the life of a portfolio. Rebalancing, model updates, new cash contributions, withdrawals, concentration management, and loss harvesting can all involve balancing portfolio objectives with tax liabilities.

Each of these actions can improve a portfolio, but achieving those improvements can come at a cost and may trigger a tax liability that offsets some or all of the benefit.

The most effective portfolio decision is not always the one that produces the highest pre-tax return. It is the one that balances investment outcomes against the tax cost of getting there.

Models define the destination. Personalization shapes the journey.

Risk-factor-based optimization focuses on how efficiently a portfolio can achieve its intended outcome. It is not centered on matching a model security by security.

Let's consider a client holding a large, appreciated technology stock at a significantly higher weight than the target model calls for.

A model-based approach may view that position as a deviation from the target and focus on bringing it back in line with the model. A risk-factor-based approach asks a different question: “How does that over-allocation affect the portfolio's overall exposures, and how does that compare to the intended outcome?”

If the position represents a meaningful overweight to a sector or risk factor, the objective is not necessarily to sell it down immediately. Instead, the challenge is determining how to bring the portfolio closer to its intended outcome without incurring an outsized tax liability. That may involve trimming the position, building the rest of the portfolio around it, or some combination of both.

Viewed through this lens, the question shifts from "How do we reduce this position?" to "What is the most tax-efficient way to achieve the intended outcome and investment objective?"

Personalization does not require abandoning the model

A common misconception about model portfolios is that they cannot accommodate the tax sensitivity, restrictions, and personalization that many high-net-worth and ultra-high-net-worth clients require. Yet a well-constructed optimization engine can account for those considerations without abandoning the model.

Risk-factor-based optimization allows firms to focus on the intended outcome rather than requiring every client portfolio to hold the same securities. Different holdings, embedded gains, tax profiles, constraints, and client-specific restrictions may lead to different implementation decisions, even when clients are pursuing the same investment objective.

As a result, two clients may hold very different portfolios while targeting similar underlying exposures and intended outcomes. A model defines where a portfolio is headed. It should not dictate the specific securities every client must hold to get there.

Deploy the capital gains budget where it creates the most value

Most advisors are already managing capital gains budgets. The challenge is determining how to deploy that budget effectively and create the greatest value for clients.

Not every trade that generates a tax liability delivers the same value. Some may meaningfully reduce tracking error, improve alignment with an intended outcome, or address a concentration risk. Others may generate a similar tax cost while delivering only a modest portfolio benefit.

The difference is not always obvious. Two trades may appear similar on the surface yet create very different outcomes for the client.

The opportunity is to evaluate every trade against that standard: not simply whether it triggers a tax liability, but whether the value it delivers is worth that cost.

Making tax-aware decisions repeatable at scale

A skilled advisor can often do this well for an individual client, weighing risk factors and tax consequences through judgment and experience across transitions, rebalances, and model updates.

Across an enterprise, the challenge is different.

Firms need to evaluate tens of thousands of portfolios, each with their own tax profile, constraints, starting point, and intended outcome. They must determine which trades are worth making, which decisions can be deferred, and where a capital gains budget can be deployed most effectively. Meeting that demand requires a scalable and repeatable process for evaluating portfolio and tax trade-offs consistently and on an ongoing basis, one that can help free up advisors to focus on higher-value activities, such as strategic client conversations and portfolio decisions.

In other words, personalization does not mean managing every portfolio by hand, and scale does not mean building every portfolio the same way. Each portfolio can be managed according to its own facts and circumstances while remaining aligned to a defined objective and a decision-making framework that works across the client base.

A portfolio is never done, whether for one client or 10,000

The broader opportunity extends beyond decision-making for one account at a time. It is making that same level of decision-making available across the client base through a centrally managed, systematic process—and technology is what makes that possible.

It makes that same level of analysis available more consistently across the client base, rather than reserving it for only the most complex client situations.

The payoff is a durable advantage: the ability to extend personalized portfolio management across the client base, rather than limiting it to a select few.

The firms best positioned to lead in this space will be those that can deliver that level of personalization consistently across thousands of portfolios, without sacrificing discipline, oversight, or scale.

A portfolio is never done, and the view should not stop at the account level. The same discipline that guides decisions within a portfolio can extend across the household, where third-party separately managed accounts (SMAs) and other outside holdings become part of a more complete, tax-aware view of the client's portfolio.

Learn how Aladdin Wealth helps firms bring tax-aware, personalized portfolio management to scale.

FOR INSTITUTIONAL, WHOLESALE, QUALIFIED AND PROFESSIONAL INVESTOR/CLIENT USE ONLY.

_{BlackRock does not provide tax advice. This material is for informational purposes only does not constitute any specific legal, tax or accounting advice. We urge you to consult with a qualified professional for such advice.}

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Aladdin Wealth™ by BlackRock is an investment management technology platform for wealth management firms, including registered investment advisors (RIAs), broker-dealers, private banks, and other financial institutions. The platform brings together portfolio management, risk and oversight, business insights, and advisor workflows to help firms support growth and efficiency, personalize client portfolios at scale, and take a unified approach to portfolio management.