Will this individual — a middle (mid-level) C++ software engineer with more than 5 years of tenure at Intelligent Security Systems (ISS, issivs.com) — lose their job (be laid off, have their position eliminated, or be terminated) primarily due to AI-driven automation, AI-enabled productivity/cost-cutting, or restructuring linked to AI adoption, between September 2026 and September 2028?

probability: 6%

rationale:

Resolution Conditions and Base Rates

The resolution criteria for this forecast are strict and conjunctive: the individual must involuntarily lose their job and AI must be the primary driver. While AI-attributed layoffs are a rising share of total job cuts—accounting for roughly 24% of announced US cuts through July 2026 challengergray.com—these figures are heavily driven by large, publicly traded companies signaling efficiency to investors. The baseline probability of any involuntary separation for a tenured engineer at a stable, ~200-employee private firm over a two-year period is already modest, roughly 10–18%. The conditional probability that such a separation would be explicitly and primarily driven by AI pushes the overall likelihood into the mid-single digits.

Incumbent Resilience and Seniority-Biased Impact

Current labor market evidence strongly suggests that AI-driven displacement is hitting the hiring of juniors, not the separation of experienced incumbents. Recent analysis from the Stanford Digital Economy Lab indicates a 19% employment shortfall for 22–25-year-olds in AI-exposed occupations, but finds no comparable gap for experienced workers digitaleconomy.stanford.edu. Instead, AI appears to substitute for codified entry-level knowledge while complementing the tacit, firm-specific knowledge of tenured staff digitaleconomy.stanford.edu. This individual's mid-level seniority and 5+ years of tenure at one employer provide substantial domain knowledge and protective value, insulating them from the most common vector of AI-related job loss.

C++/Systems Engineering vs. Web Development

The specific nature of this individual's work further depresses the risk of automation. LLM coding assistants excel at high-volume, repetitive, boilerplate-heavy web and CRUD development where verification loops are fast. In contrast, C++ work at a video-analytics vendor involves hardware/camera integration, memory and latency constraints, real-time pipelines, and a decades-old proprietary codebase 2 sources. Under these conditions, LLM output is much harder to validate. Evidence suggests that AI-tool use can even slow completion by 19% for experienced developers working on complex, million-line open-source repositories metr.org. While agentic tools are improving, C++ systems engineering remains one of the least automatable niches over a near-term two-year horizon.

Company-Specific Signals for ISS

Intelligent Security Systems (ISS) presents as a stable, growing AI product vendor rather than a distressed firm. Evidence from 2026 indicates expansion, including a May 2026 SecurOS UVSS product-line expansion and new active global deployments issivs.com. The company's own materials consistently report an R&D team of roughly 200 developers and engineers, indicating flat or growing engineering headcount with no public trace of layoffs or restructuring issivs.com. Because ISS's competitive advantage lies in proprietary AI video analytics, its structural incentive is to deploy internal AI tooling to augment scarce engineering talent and accelerate product development, rather than to harvest headcount savings.

Key Uncertainties and Tail Risks

The primary path to a YES resolution lies in discontinuous technological advancement. If agentic coding capabilities improve drastically by 2027–2028 and successfully penetrate complex, legacy C++ codebases, ISS could trim its R&D bloc to realize productivity gains. There is also a risk of "AI-washing," where a standard restructuring due to unseen private-company margin pressure is publicly labeled as AI-driven cost-cutting, which could trigger a lenient resolution thehill.com. However, given the protective factors of tenure, domain, and the company's growth trajectory, these risks remain strongly contained.