ABSTRACT
While AI safety discourse fixates on speculative superintelligence risks, commercial AI systems deployed today in sales and marketing already exhibit the instrumental convergence behaviors that researchers warn about. This paper introduces the ‘Convergence Parallel’ framework, demonstrating structural homologies between corporate optimization and AI safety concerns. Through analysis of algorithmic price discrimination, manipulative interface design, and engagement-maximizing recommendation systems, we show how market-deployed AI manifests self-preservation, resource acquisition, and goal-content integrity drives.
These instrumental behaviors create systematic market failures: information asymmetries, exploiting consumer cognitive biases, switching costs, locking in customers, and network effects, concentrating market power. The primary AI alignment problem in commercial contexts is institutional rather than technical-commercial AI functions exactly as designed, optimizing for objectives (revenue, engagement, conversion) that systematically diverge from consumer welfare.
Effective governance requires institutional intervention: market structure regulation addressing network effects, mandatory algorithmic transparency exposing exploitation, consumer protection modernization treating manipulation as per se unfair, and fundamental redesign aligning commercial incentives with human welfare. The Convergence Parallel framework reveals that AI alignment and institutional reform are unified challenges requiring coordinated political solutions.
Accornero, Paul F, From Corporate Misalignment to Market Failure: The Convergence Parallel and AI Governance in Sales and Marketing Systems (November 7, 2025).
Dear Steve,
Thank you for featuring my working paper on the Convergence Parallel framework. I’m delighted to see this work resonate with the private law theory community—the intersection of AI governance, consumer protection, and market failure is precisely where legal and commercial scholarship need to converge.
The paper argues that commercial AI systems already exhibit the instrumental behaviors that AI safety researchers attribute to hypothetical future systems, and that the primary alignment challenge is institutional rather than technical. Your readers’ perspectives on the regulatory and doctrinal implications would be most welcome.
I’m a senior executive with De’Longhi Group pursuing academic research on AI’s transformation of commerce, and I’d be glad to engage with any scholars interested in this space.
With thanks,
Paul F. Accornero
ORCID: 0009-0009-2567-5155