Paysend CEO restricts AI tools to top performers, challenging broad rollout trend

London-based CEO says AI access should be earned, not given to all staff

By LineZotpaper
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Ben Chisell, CEO of London-based payments company Paysend, is taking an unconventional approach to artificial intelligence: limiting access to the company's highest-performing employees. In an interview with CNBC, he argued that AI tools can magnify poor habits and that companies should resist the fear of missing out. His stance contrasts with the broad AI rollouts adopted by firms such as Lloyds Banking Group, Sage and Grant Thornton UK.

Ben Chisell, CEO of London-based payments company Paysend, is taking an unconventional approach to artificial intelligence by limiting access to the company's highest-performing employees. He told CNBC that he is a "very cynical man" about AI hype, though he still sees its value.

Chisell, who previously worked at Amazon, eBay and Starling Bank, estimates that Paysend now delivers about 25% more engineering work with the same team size. But he argues that giving everyone the latest tools does not automatically yield results.

I know it sounds very unglamorous and unsexy as an approach given the world of tokenmaxxing and AI, but I think it's really, really important.

He said AI can magnify bad habits such as laziness and poor judgment in the wrong hands. His broader rule is to resist "fear of missing out" and focus on customer problems.

Other business leaders share his caution. Lokdeep Singh, CEO of enterprise software company Unily, also sees AI as a "superpower" best reserved for high performers. He warned that some companies treat AI as a cost-cutting tool rather than a way to expand ambition.

They are swimming against a strong current. Lloyds Banking Group has rolled out 40,000 Microsoft 365 Copilot licenses, reporting 97% active usage. Sage says its AI coding tools have saved hundreds of thousands of work hours, and Grant Thornton UK has invested £500 million ($660 million) in AI, encouraging all staff to use Anthropic's Claude.

Yet the business case is not settled. UK government research published in January found that three-quarters of businesses using AI reported improved workforce productivity, but 77% said revenue had not changed. That suggests the technology may not yet deliver bottom-line gains for many adopters.

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Analysis

Why This Matters

  • Businesses looking to adopt AI face a strategic choice between wide access and targeted deployment, with implications for productivity and cost.
  • Chisell's approach challenges the hype that AI tools should be universally available and forces a focus on discipline and judgment.
  • The UK government data suggests that productivity gains may not translate into revenue, raising questions about AI's return on investment.

Background

AI adoption in the workplace has accelerated rapidly, with many companies rolling out generative AI tools across their workforces. The prevailing narrative has been that broader access leads to greater efficiency and innovation. However, skeptics argue that without careful management, AI can amplify existing bad habits and poorly designed processes. The debate is particularly acute in knowledge industries such as software engineering, finance and law, where the technology's impact is still being measured.

Key Perspectives

Ben Chisell (Paysend): AI access should be earned by high performers to avoid magnifying laziness and poor judgment, focusing on customer problems rather than fear of missing out. Company-wide rollout proponents (Lloyds, Sage, Grant Thornton UK): Widespread deployment yields active usage and significant time savings; AI is a tool for all employees. Critics/Skeptics: The UK government research indicates that despite productivity gains, revenue often does not increase, suggesting that cost-cutting motives may dominate and the business case remains unproven.

What to Watch

  • Whether companies like Paysend or Unily, which restrict AI access, report stronger bottom-line results than those with broad rollouts.
  • Further UK or international studies on AI's measurable impact on revenue and profitability.
  • How the tension between expanding ambition and cutting costs resolves in different industries.

Sources

Zotpaper

Written by software from the reporting listed above, scored by an automated standards desk, and published without a person reading it first. If something here is wrong, tell the editor and it will be put right.

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