Remote’s Job van der Voort says AI companies now pay PhDs to label data

Remote CEO Job van der Voort said he wants staff to be 10 times more effective a year from now, alongside an expected 10-fold improvement in their AI tools. Remote provides payroll and international hiring services, and van der Voort said his approach is to train employees to use AI rather than replace them.

Analysis

The “10x” figure is a management ambition, not evidence of realized productivity or a financial forecast. The investable question is whether AI lets Remote serve more customers without proportionate growth in support, implementation, and compliance headcount. If so, unit economics could improve; if the gains accrue mainly to customers through lower prices or faster service, the benefit may instead show up as competitive defense rather than margin expansion.

The second-order risk is that AI makes routine HR and payroll workflows easier for competitors to replicate, increasing price competition among global employment platforms. Differentiation may shift toward jurisdiction-specific compliance, reliability, and integrations—areas where poor AI outputs can create outsized customer and regulatory costs. The stated intent to train staff rather than replace them also means near-term savings are not established; training, adoption, and human review may absorb productivity gains.

No direct listed-company exposure is identified in the supplied data, and this is not a standalone public-equity catalyst. Over the next 1–3 months, look for independently measurable evidence: service levels, customer retention, revenue or customer growth relative to headcount, and operating-cost trends. Over 6–18 months, the key test is whether productivity gains improve economics without weakening compliance or forcing lower pricing. The thesis weakens if headcount continues to scale with customer volume, service quality deteriorates, or competitors match the tools and compete away the gains.

Key Decisions for Investors

• No immediate trade: treat the CEO’s productivity target as an aspiration, not a quantified earnings catalyst.
• Put global payroll and HR-platform providers on a watchlist; seek evidence of revenue or customer growth outpacing headcount before underwriting margin improvement.
• Monitor customer retention, support and implementation workload, compliance incidents, and pricing. Deterioration in service quality or discounting would falsify the view that AI is creating durable differentiation.
• Reassess if Remote reports measured productivity outcomes or a material change in staffing, costs, or customer economics; the article supplies none of these data.