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80% of software vendors to offer gen AI by 2026, up from 1% last year, says Gartner poll

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While some may say that gen AI enthusiasm is dying down, independent software vendors of enterprise applications see things differently. Recent data from Gartner, a business advisory and research firm, estimates that 80% of them will have embedded generative AI capabilities in their enterprise applications in 2026, up from less than 1% in 2023. Even if only half of that percentage is achieved by then, it would still represent a major spike in generative AI use. 

This projection came up during a presentation from Matthew Mowrey, senior director analyst at Gartner, who spoke about the company’s annual finance technology survey during the Gartner CFO & Finance Executive Conference 2024, taking place this week in London. The figure is derived from research Gartner conducted early this year that looked at 13 different enterprise application markets across four categories: digital workplace, customer relationship management, enterprise resource planning and augmentation services. The research relied on a combination of data from sample firms and overviews and summaries from analysts covering these markets. 

Gartner vendor data

Slide from senior analyst Matthew Mowrey’s presentation at Gartner’s CFO and finance executive conference Sept. 2024

In terms of markets, Gartner research found generative AI capabilities are most available from vendors of solutions pertaining to digital adoption platforms; collaborative work management; intranet package solutions; meeting solutions; and visual collaboration applications. Conversely, generative AI capacities are least available in solutions involving application portfolio management tools; cloud extended planning and analysis solutions; customer communication management; content service platforms; cloud ERP for product-centric enterprises; and cloud ERP for service-centric enterprises. 

For the most part, the inclusion of GenAI within enterprise applications focuses on user experience, primarily content creation. In this realm, the principal use case is facilitating employees to write more effectively (aka “augmented writing.”) This includes drafting, in whole or part, from a variety of starting points (e.g., blank page, response to message, next section or paragraph); completion of a word, phrase or sentence; correction of spelling or grammar; or changing tone and/or voice. 

A similar, related, strong area is content consumption. Here, the principal use case is facilitating employees to read more effectively (aka “augmented reading”). This includes things like providing summaries of documents or meetings, as well as answering questions. 

Gartner said, to a very limited extent, “technology creation” (e.g., generating code or processing data), is another area of focus for vendors. In terms of technology creation, the principal use case is metadata attribution in the context of machine experience — that is, facilitating applications to process content as data. More specifically, generative AI has been used in categorization, whereby labels are attributed to content with respect to a variety of dimensions (e.g., sentiment, topic, grouping). 

Overall, this jump seems to line up with other Gartner research, such as data from March indicating that 83% of technology service providers have already deployed or are piloting generative AI, and 50% will make strategic changes to extend core offerings with gen AI to realize a whole product or end-to-end services solution.

Further, more recent Gartner research found that the adoption of finance AI by finance functions has increased significantly in the past year with 58% using the technology in 2024, an increase of 21 percentage points from 2023. Overall, Gartner estimates that, by 2026, 90% of finance functions will deploy at least one AI-enabled technology solution, but less than 10% of functions will see headcount reductions. 

In the wake of rapid generative AI adoption, Mowry said modern finance professionals need to possess both technical expertise and business acumen: data scientists should understand business processes, while business analysts should be proficient in data analytics tools. Ensuring finance staff build technology proficiency should be a top priority, as finance technology is increasingly automating through various technologies such as process mining, robotic process automation and AI, necessitating digital competencies to keep up with these innovations.

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Accounting

Continuous Auditing Transforms Corporate ERPs

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continuous auditing transforms corporate erps

As corporate accounting departments cross the threshold into late July 2026, the adoption of continuous, automated auditing systems has reached a definitive turning point. Driven by advances in artificial intelligence and deep integration with modern Enterprise Resource Planning (ERP) platforms, leading finance organizations are moving away from traditional, periodic post-hoc audits in favor of real-time, 100% transactional verification. This technological transition is redefining internal control environments, reducing compliance costs, and eliminating the structural delays inherent in legacy quarterly closing processes.

Unlike traditional auditing frameworks that rely on statistical sampling—a process that inevitably leaves operational blind spots—continuous auditing software monitors operational data feeds continuously. Every purchase order, electronic invoice, payroll disbursement, and cross-border wire transfer is automatically cross-referenced against established corporate governance parameters, regulatory tax schedules, and anti-fraud algorithms in real time. Anomalies or unauthorized ledger entries are flagged instantly, allowing internal audit teams to investigate and remediate compliance gaps immediately rather than months after the close of a financial period.

The implications for executive financial management are far-reaching. By embedding continuous verification directly into daily transaction workflows, chief financial officers gain uninterrupted visibility into the organization’s true financial standing. Real-time balance sheet auditing eliminates the severe operational bottlenecks associated with month-end and quarter-end financial reconciliations, freeing accounting professionals to focus on strategic financial modeling, tax planning, and capital allocation rather than manual data entry and spreadsheet consolidation.

However, implementing continuous auditing requires accounting leadership to invest heavily in data governance and technical upskilling. Internal audit teams must evolve from manual ledger reviewers into system architects capable of auditing complex algorithms and validating automated data pipelines. Accounting firms and corporate controllers that master continuous auditing will establish a resilient compliance framework capable of meeting stringent international regulatory standards with total transparency.

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Accounting

U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

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U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

WASHINGTON — In a major escalation of cross-border trade friction, U.S. President Donald Trump has signed executive orders imposing new 50% tariffs on a wide selection of Canadian exports, citing discriminatory practices by Ottawa targeting American auto, dairy, and beverage industries.

The new duties, announced Monday, will take effect in 30 days. They target a broad spectrum of consumer and industrial goods—ranging from wine, liquor, and milk products to commercial cement, furniture, clothing, and hockey equipment.

Untested Legal Mechanism

To enact the sweeping measures, the administration invoked Section 338 of the Tariff Act of 1930—a rarely used legal provision allowing the executive branch to levy additional tariffs of up to 50% on foreign nations deemed to discriminate against U.S. commerce.

White House officials noted that Section 338 addresses trade discrimination rather than national security or economic emergencies. The move comes months after prior global emergency tariffs faced legal challenges in domestic courts, signaling Washington’s pivot toward alternate statutory authorities to maintain import duties.

Senior administration officials briefed reporters that the measure directly responds to Canadian provincial bans on U.S. alcohol, restrictions on American vehicle exports, and import quota disparities affecting U.S. dairy and cheese producers relative to third-party trading partners.

“While the administration continues to secure reciprocal trade agreements globally, Canada retaliated against efforts to protect domestic industry,” U.S. Trade Representative Jamieson Greer stated.

USMCA Impact and Carve-Outs

Significantly, the newly ordered 50% duties will apply to designated items even if they otherwise comply with the United States-Mexico-Canada Agreement (USMCA).

However, the administration confirmed key targeted exemptions:

  • Energy products (including oil and natural gas)
  • Potash and critical minerals
  • Fish and seafood
  • Goods already governed by sector-specific duties (such as existing steel and aluminum tariffs)

Administration representatives emphasized that the tariffs do not stem from recent disputes concerning drifting Canadian wildfire smoke, noting that policy options regarding environmental spillover remain under separate review.

Canadian Response and Market Reaction

Following the White House announcement, the Canadian dollar experienced a sharp decline against the U.S. dollar, falling approximately 0.4% during evening trading.

Canadian Prime Minister Mark Carney issued a statement emphasizing that Canada’s earlier counter-duties had merely matched previous U.S. trade actions. “Canada stands ready to engage intensively to address outstanding issues with the U.S. to the mutual benefit of our citizens,” Carney stated, pointing to detailed proposals Ottawa submitted to modernize the USMCA framework.

Ontario Premier Doug Ford took a firmer stance, urging a “dollar-for-dollar” reciprocal response if the measures go into effect on August 19.

With a 30-day implementation window before the duties officially lock in, industry associations and trade groups on both sides of the border are calling for urgent bilateral negotiations to avert further supply chain disruption across North America.

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Accounting

Automated Continuous Auditing: Transforming Compliance and Real-Time Financial Oversight

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Transforming Compliance and Real-Time Financial Oversight

The traditional accounting paradigm—defined by periodic monthly closures and post-hoc annual audits—is rapidly giving way to continuous, automated financial oversight. As of July 2026, forward-thinking accounting practices and multinational corporate finance departments are leveraging continuous auditing systems powered by advanced machine learning models. These systems monitor operational transactions in real time, shifting audit methodologies from sample-based post-analysis to absolute, 100% transaction-level verification.

The operational advantages of continuous auditing are transformative. Standard auditing procedures historically relied on statistical sampling, which, despite rigorous methodology, inherently left gaps where anomalies or fraudulent transactions could go undetected for months. Modern continuous auditing platforms integrate directly with enterprise resource planning (ERP) databases, instantly cross-referencing purchase orders, invoices, bank feeds, and tax records. Any deviation from established control parameters or unusual transaction behavior triggers immediate flags for internal audit teams, dramatically reducing detection lag from quarters to seconds.

Beyond fraud prevention, continuous auditing fundamentally alters internal reporting and decision-making. Executive leadership no longer has to wait weeks after the close of a quarter to evaluate precise financial standing; real-time verified ledger data provides an uninterrupted view of operating margins, tax liabilities, and cash flow dynamics. This real-time visibility enables corporate controllers to adjust capital allocation strategies dynamically, mitigating liquidity constraints and capitalizing on emerging commercial opportunities far more efficiently than competitors bound to legacy reporting cycles.

However, implementing continuous auditing requires accounting professionals to acquire new analytical capabilities. The role of the auditor is evolving from manual data reconciliation toward system validation, algorithmic model governance, and strategic risk interpretation. Accounting firms and corporate finance departments must invest in continuous technical education, ensuring that audit staff possess the data engineering skills necessary to design, maintain, and evaluate complex automated compliance systems.

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