AI scale-ups face financial challenges

The rapid growth of AI companies is outpacing their financial systems, leading to chaos in finance teams. Many of these companies are achieving revenue levels comparable to those during the Internet bubble, but their financial infrastructure is not equipped to handle such speed.

Early-stage priorities

Most successful AI companies begin with a strong idea and initial funding, focusing heavily on product development. Financial systems often take a back seat, with founders using basic tools like traditional bank accounts and expense-tracking software. As the company grows, managing multiple markets and compliance requirements becomes increasingly complex.

Investment and growth

Global investment in generative AI reached 56 billion dollars in 2024, a 92% increase from 2023. In France, 32 AI start-ups raised over 100 million euros in 2026, up from 24 the previous year. These companies often launch internationally from the start, which leads to more complex financial structures.

Lack of finance expertise

Many AI founders lack finance backgrounds, leading to the use of complex spreadsheets to answer basic financial questions. Jack Zhang, CEO of Airwallex, noted in a LinkedIn post that these questions should be straightforward, but for AI scale-ups, they remain difficult due to the complexity of managing multiple entities and currencies.

Operational and growth challenges

Disparate financial systems cause more than just operational problems. Without a unified view of expenses, companies struggle to allocate resources effectively. Hidden fees and duplicate software subscriptions can undermine financial control, and poor currency management can hurt revenue.

Time spent on reconciliations

Finance teams spend 60% of their time on reconciliations and avoiding errors, rather than forecasting or optimizing budgets. Some have found supplier invoices processed twice or major payments delayed. Despite these challenges, many AI companies in France are profitable or expect to be within three years.

Modernizing financial systems

A study by France Digitale and Sopra Steria Ventures found that France had 1,114 AI start-ups in 2025, with 32 raising over 100 million euros. Success requires evolving quickly while maintaining control. Companies need financial systems that provide real-time visibility, automate tasks, and adapt to growth.

Urgency of financial modernization

Most AI scale-ups delay modernizing their financial infrastructure until it becomes unsustainable, such as during a funding round or when finance teams threaten to leave. The alternative is to treat financial systems with the same urgency as product development, ensuring robust systems are in place early to avoid hindering growth.