Artificial intelligence and the risk of inflation expectations

The arrival of artificial intelligence promises game-changers in all industries. But what if the rise of AI created new ways to simplify things — as well as a whole new set of complex client expectations for accountants? 

As businesses expect AI-driven solutions, accountants could find that what initially were accepted as benefits in cost-efficiency, speed, and enhanced service could be the most unexpected complications. Let us explore how AI’s promise to transform the accounting profession might go the unexpected way. 1. Faster service: When speed feels too fast for comfort. Where AI can automate repetitive tasks, accountants will process data faster than ever. This presumes that clients value that speed. 

Increased speed might mean that clients will demand information even faster than the speed at which it is created, without stopping to think about any deep analysis or nuanced judgment. 

The new challenge? Keeping up with unrealistic demands.

2. Value for money: The hidden cost of always expecting more for less. AI’s ability to perform tasks with minimum human intervention promises cost savings. However, the drive toward cost efficiency can be detrimental because it can feed into clients’ mindset that the value of professional accountants’ services would continue to drop. 

What is often left unsaid is that AI tools are costly in terms of investments in technology, learning, training, and keeping up with constant updates, and hence AI tools are not cost-neutral. Accountants will likely not sell any AI tool independently — so by itself, any AI tool won’t be a profit center. 

What is the paradox? Clients expect more for less, while accountants have to deal with higher costs to operate their practices. 

3. Better service: When AI lacks the human touch. Clients may also expect that AI will enhance service quality. After all, AI will be able to recognize patterns, predict trends, and perform complex calculations. 

In businesses where AI-driven processes take precedence over traditional ways of doing things, clients may miss the personal counsel, insight, and display of empathy accompanying human contact. AI, for all its power, cannot establish relationships and provide specific advice relevant to a client’s particular circumstances. 

The paradox arises: Better service in terms of raw data analysis does not equate to better service as perceived by the client.

4. Greater privacy: AI’s paradox of data security. Where there is AI, there is the ability to sift through enormous amounts of data at unbelievably fast speeds. This can open up a broad avenue for breach of privacy. At the same time — and quite rightly — all clients will expect AI to handle their sensitive financial data with more security than ever. 

Yet the same AI systems that make accounting tasks quicker and more efficient are those prone to cyber-attacks, breaches, and intentional or unintentional mismanagement of sensitive information. It is an expectation, but the reality is that AI systems may not have perfect security, especially when it comes to human use of AI tools. Hence, it is essential to have an “AI use policy.“

5. More predictability: When clients expect crystal-ball forecasting. AI’s predictive powers promise more accurate financial forecasting, and clients may believe that AI will provide flawless predictions about future market trends, tax burdens, and revenue streams. 

However, AI is not perfect, and AI predictions are based on historical data that cannot predict unforeseeable events such as crashes, regulatory shifts, or political upheaval. 

As clients become more reliant on AI predictions, the likelihood increases that expectations will be set unrealistically high, and frustration will mount when predictions inevitably prove imperfect.

Navigating the AI-fueled expectations

With the rise of AI comes a whirlwind of expectations — faster service at lower costs, superior quality, greater privacy, and predictive accuracy. While AI can deliver on many of these promises, accountants should be aware of the new pressures created by such expectations. 

The future in accounting will be about mastering AI tools and managing the evolving and sometimes unrealistic demands coming hand in hand with those tools. As client expectations continue to grow, so must accountants balance the capabilities of AI with the irreplaceable value of human insight, judgment, and relationship-building.

It’s simple: Although AI may enhance processes, it cannot replace accountants’ multifaceted expertise. Accountants will need to communicate that to their clients effectively to be in a better position to turn these challenges of AI into opportunities for more profound, more impactful, more value-added services.