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AI-first professional services: Why the United States must act now

Regular work is being mechanized. What remains is the human strengths: judgment, morality, empathy, and design. Unsplash+

The U.S. professional services industry, including law, finance, healthcare, consulting and other knowledge-driven areas, generates more than $2.8 trillion in revenue. Yet now it is in an uncertain connection: the risk of a total embracing the AI ​​revolution or lagging behind in global competitiveness. AI is not optional, it is the definition catalyst for the next chapter of American companies.

AI fundamentally rewrites the operational model of knowledge work. AI-driven automation will not discriminate against the industry. Whether you are an attorney, accountant, marketer, consultant or HR leader, you will face a decision: to steer and lean towards this upcoming change, or stand on the beach and scream in the tide waves. A path causes obsolete. Others can ensure your fruitful future. You have to accept that all routine work will eventually be mechanized. Now, this allows for re-focusing and fostering irreplaceable human judgment, empathy, ethics, and skills in creative and innovative design. AI is not here to replace you, it can help you redefine the future.

The time to take action was yesterday

Preparing for this new reality must immediately begin in the educational and workforce pipeline at all levels: universities, community colleges, corporate training programs and executive suites. As highlighted in a recent LinkedIn article, transformations have been made that are reshaping the professional service landscape, and the immediate adjustments required are becoming increasingly clear.

From action to supervision

As a professional, you have to readjust your mind from being an “actor” to being an orchestrator. In this new world, you will oversee the AI ​​pipeline, interpret the results and ensure context-effective decisions. Developers are becoming orchestrators. The same shift applies to lawyers, accountants, analysts and all other knowledge workers. Think of yourself as an AI supervisor, not just an operator.

Results-based models will define value

AI makes it possible to track and measure performance in real time. As a result, customers will increasingly expect deliverables related to clear results rather than hours of work. The traditional billing hourly model will replace performance-based contracts. Companies that fail to adapt to pricing and value models will lose their competitive advantage.

Active investment in AI infrastructure

Forward-looking companies have secured the future by investing deeply in AI-driven systems. Others must emulate both universal AI tools and domain-specific solutions. Consider a legal professional’s contract review agent or financial team’s cash flow forecasting algorithm. Without a strong AI foundation, even the best human teams will be difficult to compete.

Improve every level of labor

For entry-level employees, executives and senior leaders, UPSKILLING must be a top priority. Training plans should include:

  • How AI works

  • Rapid engineering technology

  • Model evaluation and bias review

  • Explanation and AI ethics

  • Design end-to-end AI-assisted workflows

The training begins now. This is not a five-year strategy; it is a six-month sprint.

Build an interdisciplinary team

Creating AI tools is one thing. Ensuring that it succeeds is another matter. To achieve meaningful impact, companies must build teams that combine technical skills with vertical domain expertise. For example, a company might take marketers who understand consumer behavior with AI engineers about personalized campaigns based on behavioral signals. These interdisciplinary teams will become the standard.

The future of lawyer workflow

Sooner rather than later, the lawyer will prepare for the case by filing a court inauguration motion drafted by AI teammates. After uploading case details to the Generative AI system, the lawyer will obtain a draft argument based on relevant legal precedents. They will then modify and refine as needed. This process will reduce the time by several hours, freeing up time for deeper strategy and client preparation. This is not speculative. Leading global companies such as Allen & Overy have deployed Harvey AI to support legal research and contract mapping.

The risk of delay

The professional service department has expired and will not reinvent it. Companies that adopt the “wait and watch” approach will actively harm their business. While you are hesitant, competitors will adopt it early, improve efficiency, build experience, and possibly compare with your customers. Without proactive retraining and AI integration, your employees, customers and value proposition risks become outdated.

National Call for Action

U.S. leaders must take decisive action. Governments and industries must work together to accelerate the adoption of AI in professional services. This includes expanding public-private research labs, establishing an AI center of excellence and expanding workforce training grants.

At the university level, even at the undergraduate level, AI capabilities should be required for legal, business and accounting courses. Companies must set training benchmarks and appoint senior AI officials to lead the integration efforts. Implementation, testing, deployment, review and recalibration must be continuous cycles, not one-time projects.

Communication teams also play a key role. They must shape narratives that are represented by AI rather than fear. This news must be strengthened internally throughout the AI ​​adoption journey and beyond.

Seize this opportunity

We witnessed the opening ceremony of a historic technological revolution. Professional services that prioritize AI are not a niche trend. They are a democratized force that balances the game environment, thus allowing ambitions and talents to outweigh the legacy’s advantages. This sounds like an interruption, but should be considered a possibility.

Now all American businesses and the professionals who power them must turn to a new reality: AI oversight, AI-driven value models, continuous retraining and interdisciplinary collaboration. Take action today to keep us ahead of the curve. Hesitation means falling behind – probably at the mercy of the global agenda that is not in line with our values. There is no doubt that AI will not come to professional services. This is a new professional service. Today’s action tomorrow equals an advantage.

AI is the new professional service, the industry's clock is ticking



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