Public company intelligence preview
AMERICAN INTERNATIONAL GROUP INC
146 insider trades surfaced from the last year. This page shows only aggregate signals, not the underlying transactions, people, filings, filters, or AI workspace.
Snapshot
A narrow read on a much deeper workspace.
The preview gives search visitors enough signal to understand coverage. It does not expose transaction records, person-level profiles, filters, comparisons, or analyst workflows.
Insider compensation
Public aggregate: $12.8M average total compensation across covered insiders.
Governance movement
Public aggregate: 8 governance events in the last year.
Institutional ownership
Public aggregate: 1,138 holders from the latest quarter.
Restricted sales and governance
Public counts, not the investigation layer.
The full product opens the underlying filings, insider context, historical holdings, comparison tools, and AI analysis.
Market context
Basic quote context for the preview.
Company note
Context before the data.
Company Overview
American International Group Inc. (AIG) is a global Financial Services company in the Insurance - Diversified industry, offering commercial and personal insurance products in more than 200 countries and jurisdictions. Its core General Insurance business spans North America Commercial, International Commercial, and Global Personal, with products ranging from property, casualty, financial lines, and specialty coverages to accident & health and personal lines. Recent filings show stronger underwriting performance, especially in North America Commercial, while investment income and catastrophe activity remain important earnings drivers. AIG’s scale, multinational footprint, and reliance on brokers and intermediaries make it a classic large-cap insurer where results can swing with pricing, loss trends, and capital allocation decisions.
Executive Compensation Practices
For a diversified insurer like AIG, executive compensation is typically tied to underwriting profitability, premium growth, combined ratio performance, reserve development, and capital returns, rather than just revenue growth. The company’s recent improvement in net income, adjusted after-tax income, and underwriting income suggests that incentive plans likely emphasize metrics such as combined ratio, catastrophe management, expense discipline, and return on equity or adjusted earnings. Because AIG is also a holding company with significant reliance on dividends from insurance subsidiaries, compensation may also reflect parent-level liquidity, capital efficiency, and shareholder distributions like buybacks and dividends. In the Financial Services sector, especially Insurance - Diversified, long-term incentives often include stock-based awards to align management with solvency, reserve discipline, and multi-year profitability.
Insider Trading Considerations
Insider trading activity at AIG may be influenced by insurer-specific variables such as catastrophe experience, reserve adequacy, investment portfolio marks, and regulatory capital constraints, all of which can materially affect reported earnings. Because quarterly results can be driven by reserve releases, realized gains or losses, and fair value movements in investments, insiders may be especially sensitive to periods around earnings releases and actuarial reserve updates. The company’s heavy regulation, including state insurance oversight, solvency rules, and capital and dividend restrictions, can also affect the timing and size of insider transactions, since executives often have fewer discretionary windows and must consider compliance restrictions. For researchers and traders, insider purchases may be more meaningful when they occur alongside improving underwriting trends or capital-return signals, while insider sales may simply reflect diversification needs at a large, publicly traded insurer with substantial stock-based compensation.
Unlock the full AIG insider intelligence workspace.
Move from public aggregate counts into transaction-level detail, people, filings, compensation history, ownership shifts, export tools, and AI-assisted analysis.