AIG Deploys Agentic AI for Specialty Insurance Underwriting
American International Group announced a partnership with McGill and Partners on March 16, 2026, to use agentic AI and Palantir's Foundry platform for real-time underwriting decisions. AIG will allocate up to 25% of its capacity across a specialty insurance portfolio worth up to $1.60 billion in gross premiums written through McGill's digital broking platform.
The deal reflects how insurers are moving beyond traditional underwriting methods toward AI-assisted risk assessment and capacity deployment. For AIG shareholders, the partnership signals progress on a core strategic priority: improving underwriting discipline and expense control.
What This Means for AIG's Strategy
AIG's investment thesis rests on delivering disciplined underwriting and cost management despite exposure to catastrophe losses and litigation risk. This partnership directly supports that objective by pairing data-rich specialty portfolios with AI tools designed to sharpen risk selection and deploy capacity more efficiently.
The collaboration with McGill and Palantir's technology sits within AIG's broader push into digital and AI-enabled underwriting. The goal is clearer risk identification and better combined ratios in a competitive, inflationary environment.
However, the partnership does not eliminate near-term risks. Large catastrophe events or litigation inflation could still disrupt results regardless of AI improvements to underwriting quality.
Financial Projections and Valuation Questions
AIG projects $31.3 billion in revenue and $3.8 billion in earnings by 2028. That requires 4.5% annual revenue growth and a $500 million earnings increase from current levels of $3.3 billion.
Analyst fair value estimates for AIG stock range widely-from approximately $87 to above $100,000 per share. The spread reflects genuine disagreement about how much AI-driven underwriting improvements will boost long-term profitability and how much catastrophe risk offsets those gains.
For Insurance Professionals
This partnership illustrates how agentic AI and data platforms are becoming operational tools in specialty insurance underwriting. If you work in underwriting, risk assessment, or capacity management, understanding how these systems work matters for your role.
Learning more about AI for Insurance and Generative AI and LLM technologies can help you assess how these tools apply to your work and where they create genuine efficiency gains versus where they require careful human oversight.
AIG's approach-pairing AI with curated data portfolios-suggests that technology effectiveness depends heavily on data quality and the specific use case, not just the sophistication of the AI itself.
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