General Motors Company (GM) Citi's Global Industrial Tech & Mobility Conference 2026 summary

Business performance and strategy

• Entering 2026 with a sense of stability and resilience, focusing on overcoming obstacles and maintaining disciplined execution.

• Capital allocation priorities remain: investing in the business, maintaining a strong balance sheet, and returning cash to shareholders.

• Launching new trucks this year, with strong demand expected and a stable approach to inventory and pricing.

• Gained U.S. market share for four consecutive years, with a broad product portfolio from entry-level to premium vehicles.

• Making money on lower-priced vehicles, building loyalty among younger buyers, and leveraging foreign and domestic manufacturing for cost balance.

Operational discipline and inventory management

• Operating with 30%-40% less inventory, enabling faster response to market and consumer needs.

• Focused on cash flow and margin over market share and volume, driving $3-$4 billion in improved cash performance.

• Disciplined inventory approach reduces discounting and brand erosion, with dealers aligned to the strategy.

• Lower inventory levels help mitigate self-induced cyclicality and allow for more stable transitions during product launches.

• AI and technology investments are expected to further improve efficiency in inventory, manufacturing, and finance.

EV strategy and regulatory environment

• Committed to EVs, focusing on profitability and technology improvements rather than product proliferation.

• EV demand is expected to grow gradually, with current penetration around 5%-7% and a focus on cost reduction, especially in batteries.

• Regulatory changes have led to a reset in EV investment and production scale, with a more rational, disciplined approach moving forward.

• Navigating federal and state regulatory differences, aiming for long-term sustainability in EVs.

• Onshoring production balances tariff and labor costs, increases supply chain control, and provides flexibility for high-demand models.