The impact of artificial intelligence is apparent in the accounting world, with more organizations embracing AI-based tools for bookkeeping and report generation.
According to Thomson Reuters’ 2025 report on Generative AI in professional services, 71 percent of employees at tax firms believe that GenAI should be utilized for tax work. Almost 70 percent of tax and accounting professionals express excitement about an AI-dominated future.
Already, many top-tier firms have started using artificial intelligence for core tasks. These include reviewing audit documents and unifying their tech stack. As time passes, we can only expect this trend to grow bigger.
To stay abreast of these developments and take AI interventions in your professional stride, it will be crucial to upskill. We identify three competencies that will help accountants work hand-in-hand with AI, delivering superior results without apprehensions of replacement.
1. Risk Mitigation
One of the most widespread applications of AI in accounting is in operational aspects like tax returns. AI platforms can generate tax returns accurately and speedily, allowing the firm to take on more clients. A 2025 study in Humanities and Social Sciences Communications emphasizes that AI in accounting can also allow fraud prevention and regulatory compliance.
As you start working on such solutions, risk mitigation will be a vital skill to learn. This is because many AI-based tools can still produce erroneous returns that need human oversight. Likewise, even veteran accountants can allow discrepancies to creep in, which the firm’s AI assistant may flag.
Bloomberg recommends running already-prepared returns through these tools to unearth potential problems. It can be an effective risk mitigation strategy before peak tax season.
Another need for mastering risk mitigation comes from the possibility of inherent biases in AI. They may prevail particularly in models that use poor algorithms and skewed data for training. These scenarios can aggravate persistent socio-cultural biases and undermine the community’s trust in an organization’s transparency or fairness.
Deloitte recommends mitigating these risks through human oversight and an audit trail, with continuous monitoring. Accountants should be able to meet stakeholder expectations for reliability and trustworthiness.
Act Now:
Understand and seek assistance with fundamental AI risks, including those related to data and ethics. Advocate for an evidence-based methodology to manage them, such as the AI Risk Management Framework developed by the National Institute of Standards and Technology (NIST).
2. Mindset for Technological Innovation
Lately, some larger accounting firms have been experimenting with customized software applications based on AI. These solutions aim to perform data synthesis and review, often bringing substantial productivity gains.
Others have adopted AI-centered solutions for website development and digital communication, aspects that can be time-consuming for accounting firms. The increasing competition in this field means new companies are founded every year, making digital presence mandatory to be seen.
According to Hocoos, AI-led website design and development can free businesses from the need to have in-house tech expertise. It leaves core team members with more time to focus on growth-linked activities, such as expanding into advisory or niche areas.
As more organizations adopt similar approaches, accountants must display a flexible mindset and show a willingness to adapt. Gartner notes that changes can cause discomfort among employees due to a lack of trust and assurance in the benefits of the change. Hence, it recommends that modern-day professionals develop a change reflex, i.e., making change intuitive with frequent repetition and practice.
Act Now:
Evaluate how the proposed changes will make your job more customer-centric and more likely to bring organizational success. Prioritize collaborations with other team members. Chart out required training programs and plan brainstorming sessions.
3. Data-Driven Strategic Insights
For future-ready accountants, it won’t suffice to use AI-driven tools for their core tasks and crunch data into reports. Instead, what will keep them ahead is the ability to translate the available data into strategic and actionable insights for the firm.
For instance, more accounting companies now use decision support tools that leverage predictive analytics and Gen AI. McKinsey notes that this makes it more straightforward for accountants to access data and run diverse scenarios.
Consequently, finance professionals can spend less time crunching data and more time rising to the role of a business partner who assists with strategy formulation and execution.
As you work on this competency, you should also focus on interpersonal communication. Soft skills in this department will help you forge meaningful associations with other professionals. Then, you will find it easier to elevate your insights into impactful plans.
Act Now:
Develop expertise in data visualization and statistical analysis to discuss insights confidently. Grab collaboration opportunities with other departments to practice communication and critical thinking.
Increasing AI dominance has made many professionals apprehensive. In the accounting world, the risks seem more abject, since artificial intelligence seems capable of achieving similar results in less time. This spurs reservations about job replacements and more redundancies. It also makes change adoption slower.
However, thoughtful implementation of artificial intelligence in accounting can better outcomes for everyone: the organization, its employees, and the client base.
For professionals, this evolving paradigm warrants upskilling: urgent and dedicated.
