The 'jagged frontier' of AI capabilities allows for the intentional acceleration of defensive applications over offensive ones by curating specific datasets and evaluation environments.
Digital forensics is the ideal domain to pursue differential acceleration because the human skill sets for forensics and offensive hacking have little overlap.
The primary cyber threats to organizations are bifurcated: high-frequency, low-sophistication attacks (phishing, unpatched vulnerabilities) and low-frequency, high-impact attacks from nation-states (IP theft).
The arrival of true AGI will be signaled not by passing abstract tests, but by its measurable impact on economic indicators like GDP as it begins to fully substitute human labor.
A major impediment to progress in defensive AI is the scarcity of deep forensic experts, whose small numbers create a bottleneck for evaluating and improving AI models.
2020-2021
Carlier was part of the early team at the Center for the Governance of AI think tank, indicating an early career focus on the strategic implications and governance of advanced AI.
Post-2021
Founded Asymmetric Security to apply his ideas about AI governance and differential acceleration to the domain of defensive cybersecurity.
Present
Actively promoting his company's AI platform, which claims to reduce email compromise investigation times from days to hours, and pursuing a go-to-market strategy through cybersecurity insurance providers.
Present
Articulates a vision for an "AGI-pilled" approach to cyber defense, arguing that the field is ripe for disruption due to incumbent skepticism and a scarcity of human forensic talent.
▶Differential Acceleration of Defensive AIApr 2026
Carlier's core thesis is that AI's development can be intentionally steered to benefit defenders more than attackers. He identifies digital forensics as an ideal domain for this, arguing that the skills for forensics do not easily translate to offensive hacking, creating an opportunity to build defensive moats by curating specialized datasets and evaluations.
This strategy of focusing on niche, defense-centric domains like forensics could offer a viable path for startups to outmaneuver larger incumbents and address the asymmetric nature of cybersecurity, suggesting a focus on specialized data and evaluation is a key competitive advantage.
▶The Bifurcated Cyber Threat Landscape
Carlier provides a nuanced view of cyber threats, separating them into two main categories. The first is the high-volume, low-sophistication threat from financially motivated criminals using common methods like phishing and unpatched vulnerabilities. The second is the high-sophistication, targeted threat from nation-states like China, which employs vast resources for objectives like intellectual property theft.
For analysts, this distinction is critical; solutions and risk models must account for both the common, everyday attacks that plague most organizations and the severe, targeted attacks that pose an existential threat to R&D-heavy industries.
▶Bottlenecks to AI in CybersecurityApr 2026
Carlier argues that the adoption of advanced AI in cybersecurity is being held back by several key factors. These include a severe talent shortage of deep forensic experts needed to evaluate AI systems, the reluctance of companies to share security log data, and the inherent skepticism of personnel at large incumbent firms towards the transformative potential of AGI.
Investors should recognize that the primary barriers to AI adoption in this sector are not just technical but also structural and cultural, and that companies which can solve the data access and human evaluation problems will have a significant market advantage.
▶Pragmatic AGI VisionApr 2026
Described as "AGI-pilled," Carlier is a firm believer in the future impact of Artificial General Intelligence. However, he maintains a grounded definition, stating current models are not AGI because they lack the ability to reliably string together tasks over long horizons. He proposes a concrete, economic benchmark for AGI's arrival: a measurable impact on GDP as it begins to substitute for human labor.
Carlier's focus on AGI's economic impact as the key indicator of its arrival provides a tangible, albeit lagging, metric for tracking its progress, shifting the conversation from abstract capabilities to real-world economic substitution.