According to Ethan Mollick on Twitter, current AI evaluation overindexes on coding benchmarks while neglecting broader knowledge work, obscuring the real trajectory of AI progress. As reported by the referenced arXiv paper (arxiv.org/pdf/2603.01203), benchmark concentration in software tasks underrepresents domains like analysis, writing, decision support, and operations. According to the arXiv source, this creates measurement blind spots for enterprise adoption, talent planning, and ROI modeling, since most roles combine non-coding tasks such as synthesis, planning, and collaboration. For AI leaders, the business implication is to expand evaluation suites to role-relevant tasks (e.g., analyst briefings, customer escalations, compliance checks), introduce end-to-end workflow metrics (quality, time-to-completion, handoff friction), and track longitudinal performance across toolchains, as suggested by the arXiv analysis and highlighted by Mollick.

According to Ethan Mollick on X (Twitter), the viral 2028 AI crash scenario by Citrini is "hard" science fiction and not a fully plausible path, and he recommends Alex Oleg Imas’s economic analyses of AGI impacts as a better basis for forecasts (source: Ethan Mollick tweet; links to Citrini Research and Alex Imas Substack). According to Citrini Research, the scenario imagines a 38% S&P drawdown, 10.2% unemployment, and credit stress as advanced AI surpasses expectations; however, Mollick frames it as scenario-building rather than prediction (source: Citrini Research post; Ethan Mollick tweet). According to Alex Oleg Imas’s Substack, evaluating AGI economics requires micro-founded mechanisms such as productivity shocks, labor substitution elasticities, and capital deepening paths, which provide more credible planning inputs for businesses than narrative stress tests (source: Alex Imas Substack). For AI leaders, the business takeaway is to model cash-flow sensitivities to AI-driven productivity and labor market shifts under multiple elasticities and adoption curves, instead of anchoring on single dramatic paths (sources: Ethan Mollick tweet; Alex Imas Substack).