OKX to Factor AI Usage into Staff Performance Reviews Amid Industry Shift

Cryptocurrency exchange OKX is formally incorporating AI proficiency into its staff evaluations, reflecting a growing push among digital asset firms to integrate AI into daily operations.

The company plans to assess how well employees use AI tools during its upcoming mid-year reviews in September, according to a report by Bloomberg.

The decision follows an internal campaign that began earlier this year, encouraging OKX’s 5,000-strong workforce to adopt AI in their daily routines.

The company cut hundreds of jobs over the past year, although the performance review changes are not directly tied to immediate job cuts.

OKX recently designated Malta as its regional hub for Europe, part of its broader push to streamline global operations and compliance.

OKX has provided its employees with access to enterprise versions of OpenAI‘s ChatGPT and Anthropic‘s Claude.

Token consumption on these platforms, which indicates how much data an employee processes through the AI, could serve as a metric in the upcoming appraisals.

Managers may also require staff to document the time they save through AI assistance.

“We’re committed to staying at the forefront of AI so we can continue to build the best possible products and compete at the highest level,”

an OKX spokesperson said.

Following an industry trend

The drive to measure AI competency extends beyond OKX. Several competing crypto exchanges have reduced their workforces this year while simultaneously urging remaining staff to increase their use of automation.

Coinbase and Gemini are among the firms that have cut jobs recently as trading activity slowed.

Coinbase Chief Executive Officer Brian Armstrong noted earlier this month that AI is altering work processes across the company, allowing engineers to complete tasks in days rather than weeks.

At OKX, the push for AI integration has strongly affected customer service operations.

The exchange recently launched an AI-powered knowledge base that allows bots to retrieve information and handle client inquiries.

Training and quality assurance teams are currently embedding similar tools into their workflows.

Managers design performance evaluations that include AI usage metrics to compel staff to learn the technology.

Featured image credit: Edited by Fintech News Switzerland, based on image by wahyu_t via Magnific

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