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How Technology Will Optimize – Not Replace – The Role of Accountants

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By Irana Wasti.

The adoption of a new product or technology tends to follow a familiar cycle.

First, there is skepticism about whether it will live up to the hype.  A few proven use cases later, people are talking about whether it will enhance or upend their professional lives. Before we reach the final stage where the technology is widely adopted, we pass through a period of uncertainty, where we wonder if this technology will be too helpful — to the point of being a threat to job security.

Generative AI programs like ChatGPT are a hot topic across all industries — and the accounting industry is no different. A 2023 Thomson Reuters study found that 52% of surveyed accounting firms believe generative AI should be used for tax, accounting and audit work.

On the technology adoption scale, this places the accounting industry somewhere between uncertainty and adoption: accountants can see the value that generative AI may offer, but we’re also hearing that some have real concerns these tools will become their clients’ new go-to source for accurate information and insights.

In my role at BILL, I spend a lot of time listening and talking to small and midsize businesses (SMBs) and accountants about how trends like AI are impacting them. Here are some key takeaways to help accountants understand where they sit on the AI adoption scale.

A Refresher on Basic Automation Tools

Many accountants will be familiar with automation tools that help to complete repetitive, manual processes and workflows. Basic automation tools are completing specific, defined tasks with stated parameters. One simple, universal example: if your firm records a meeting, automation tools may be used to automatically generate a transcript. For accountants, a more specific example would be using software to transfer information from invoices into the accounting console or an internal spreadsheet.

Another example is merging data from different sources or reconciling data from one period to another. These solutions tend to be easily scalable and have a low adoption barrier due to their clearly defined functions. And the necessary controls – i.e., needing to be deployed manually — provides peace of mind for accounting firms that the tools they deploy will not run amok.

For an example of how automation benefits accounting firms in real time, look no further than California-based firm Chaney & Associates. Thanks to efficiencies made possible by the AI-powered automated tools in BILL’s Spend and Expense solution, Chaney & Associates is able to serve 1,100 clients with a team of 17 employees. By automating manual processes and instead focusing on high-value client services, the firm has seen a spike in income.

Making Automation Even More Powerful With AI

Automation is so much more than manual data processes or workflows though. With the help of AI, automation tools and software can analyze increasingly large (and, in some cases, increasingly broad) sets of data to provide valuable insights and predictions.

Standard or non-generative AI refers to AI solutions that analyze and make predictions based on existing data. The use of existing information is what differentiates standard AI solutions from generative AI, which is generating new information based on whatever prompts the user inputs.

Both standard and generative AI solutions can help enable firms to transform traditional processes and stay competitive.  This is especially important as the accounting industry continues to innovate and the role of an accountant evolves beyond simply completing tasks to also include providing high-level strategic analysis and recommendations.

The great news is that, in many cases, firms don’t have to go searching for new AI solutions — this technology is often built into the tools they are already using.  On the BILL platform, for example, AI is used to automate tedious portions of the accounts payable process, like extracting data from invoices and separating multiple invoices into individual bills. 

AI’s abilities to identify complex patterns and trends can provide enhanced analysis of large amounts of data. But while it is true that computers can crunch numbers at a faster rate than the human brain ever could, accountants needn’t be worried that these solutions will put them out of a job. Accountants are still essential for providing nuance and expertise that translates data into better insights and more informed decision-making for clients.

The human element of the client/accountant relationship is – and will remain – one of the most important components of a successful firm.

Where to Start

While AI solutions can provide time savings and cost reduction for accounting firms, adopting these tools requires a shift in mindset and some upskilling. Firms should consider the skillsets of their existing employees when deciding which tools to implement and develop thorough change management plans centered around their employees and their clients.

In addition to employee training, data integrity is also essential to a well-functioning AI or automation solution. This technology can only be as good as the data they are working with, making this another area where human oversight cannot be replaced. Firms need to review the quantity and quality of their available data to ensure enough information is available for any tech solution to do its work to the best of its ability.

What Comes Next?

As the accounting profession accelerates toward a more digital future, firms that want to remain competitive will figure out how best to employ the resources they have to increase efficiency and maximize employee productivity.

This does not mean jumping in headfirst without a plan. Instead, firms should ensure the right processes and procedures are in place to safeguard their businesses and their clients. But at the end of the day, these tools exist to aid in day-to-day operations. When work is more efficient, and clients can be provided with a higher level of service, everyone wins.

AI is most useful when paired with the knowledge and expertise of accounting professionals, helping to increase efficiency and provide employees with the bandwidth to do higher value work. And for firms that are still wary about generative AI, there are other tools, like automation and standard, non-generative AI, that could make your day-to-day operations more efficient.

At a time when accounting firms are laser-focused on growth and also dealing with continued staffing shortages, this technology – which is already built into the financial automation software you use every day – can play a huge role to fill some of these resource gaps and help accountants keep up with a growing workload.

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Irana Wasti is Chief Product Officer at BILL.

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Hardware Rally Diverges From Software Stocks

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Hardware Rally Diverges From Software Stocks

As midyear earnings reports flood Wall Street during the week of July 21, 2026, a sharp performance divergence has emerged within the technology sector. Equity indices reflect robust institutional buying in semiconductor manufacturers, data center infrastructure providers, and specialized power equipment suppliers. Conversely, enterprise Software-as-a-Service (SaaS) equities are facing notable valuation pressure as institutional investors demand clear, high-margin top-line revenue growth to justify elevated price-to-earnings multiples.

The sustained momentum in hardware equities is anchored in massive, multi-billion-dollar capital expenditure budgets allocated by mega-cap technology corporations. Demand for next-generation computing architectures, high-density server hardware, and specialized cooling infrastructure remains unyielding as enterprises globally build out localized computing clusters. Semiconductor foundries and equipment manufacturers continue to report record order backlogs, granting these companies exceptional pricing power and revenue visibility despite broader macroeconomic uncertainty.

In contrast, the enterprise software segment is navigating a rigorous fundamental reassessment. While software vendors have aggressively integrated automated digital features across their applications, enterprise customers are closely scrutinizing software licensing expenditures. Corporate IT departments are demanding verifiable productivity metrics before expanding user licenses, leading to extended sales cycles for software providers. Firms that fail to demonstrate direct, measurable return on investment are experiencing sharp post-earnings corrections.

For equity portfolio managers, navigating the midyear technology landscape requires strict balance sheet analysis and disciplined stock selection. Investors should focus on hardware leaders with defensible technological moats and enterprise software firms featuring deep workflow integration and proven monetization models. Maintaining a balanced, highly selective exposure protects capital while capturing structural technological growth.

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Hardware vs. Software Divergence: Navigating Midyear 2026 Tech Sector Earnings

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Hardware vs. Software Divergence: Navigating Midyear 2026 Tech Sector Earnings

As the midyear 2026 earnings season accelerates through the week of July 20, the technology sector is displaying a notable operational split between hardware infrastructure providers and enterprise software-as-a-service (SaaS) platforms. Market indices reflect strong institutional demand for companies supplying core computing hardware, advanced power management systems, and specialized optical networking components. Conversely, software providers are facing intense margin scrutiny as Wall Street demands concrete, high-margin revenue growth to justify elevated software valuations.

The sustained outperformance of hardware equities is anchored in ongoing, multi-billion-dollar global capital investments into data center infrastructure, grid capacity expansion, and high-performance chip architecture. Semiconductor foundries and specialized component suppliers have consistently reported robust order backlogs, driven by enterprise commitments to build out secure, localized computing clusters. Investors have rewarded these companies due to their tangible, order-backed revenue visibility and strong pricing power in a constrained supply environment.

On the other hand, the software sector is navigating a transition phase. While enterprise software vendors have heavily invested in integrating automated AI capabilities across their product suites, corporate clients are scrutinizing software licencing costs and requiring clear return-on-investment metrics before expanding enterprise seat licenses. Consequently, software vendors that rely on generic feature upgrades without demonstrable productivity improvements are seeing extended sales cycles and valuation compression during quarterly earnings calls.

For equity investors, navigating the tech market for the remainder of 2026 requires rigorous fundamental analysis focused on capital efficiency and cash flow generation. Strategic focus should be directed toward hardware leaders with unassailable technological moats and enterprise software companies possessing deep workflow integration and proven monetization models. Maintaining a balanced, selective exposure ensures participation in technological growth while hedging against localized valuation corrections.

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Utilities Re-Valuation: How Industrial Power Demand Driven by AI Upgrades Sector Equities

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How Industrial Power Demand Driven by AI Upgrades Sector Equities

Traditionally viewed as defensive, low-growth dividend plays, utility equities are undergoing a remarkable structural re-valuation across major stock exchanges in July 2026. Driven by an unprecedented surge in industrial power requirements—stemming from high-density data centers, advanced domestic manufacturing plants, and widespread electrification initiatives—utility providers are presenting revenue growth profiles historically reserved for growth sectors. This transition has repositioned power and energy infrastructure equities into prime targets for institutional capital.

The driver of this market shift is the long-term contractual nature of commercial energy demand. Tech giants and industrial manufacturers are entering into multi-decade power purchase agreements (PPAs) with utility operators to secure guaranteed baseload power. To meet this demand, utility companies are undertaking massive capital expenditure programs to modernize electrical transmission networks, integrate next-generation nuclear and renewable power facilities, and enhance regional grid resilience. Regulated utility models allow these companies to earn predictable returns on these substantial capital investments.

Furthermore, equity analysts highlight that the sector offers an attractive blend of growth potential and downside protection in a sustained high-interest-rate environment. While elevated capital costs increase borrowing expenses for grid infrastructure upgrades, the sheer volume of new industrial power demand provides strong top-line revenue expansion that offsets debt-servicing expenses. Investors seeking reliable yield combined with structural capital appreciation are increasingly allocating capital to regulated electric utilities and independent power producers.

Moving through the second half of 2026, portfolio managers recommend evaluating utility equities based on regional regulatory environments and capital execution track records. Companies operating in regions with streamlined permitting processes, supportive state regulatory commissions, and direct proximity to expanding industrial corridors are best positioned to deliver superior long-term shareholder value.

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