Societe Generale has unveiled a 2029 strategic roadmap centered on cost reduction, selective growth, artificial intelligence, business transformation and risk management, setting a target of more than €21 billion in potential shareholder distributions through 2029 while positioning technology and AI as important drivers of operating efficiency.
Societe Generale puts AI at the center of its 2029 banking strategy
Societe Generale is entering a new phase of its transformation with a strategy that combines tighter cost control, selective expansion and greater use of artificial intelligence across its banking operations.
The French banking group approved its 2029 strategic plan at a Board meeting on September 18, ahead of its Capital Markets Day on September 21. The roadmap builds on the restructuring programme launched in 2023 and places technology transformation alongside capital discipline and risk management as central components of the next stage.
The bank is targeting approximately 3% average annual revenue growth between 2026 and 2029, a cost-income ratio below 55% in 2029 and return on tangible equity (ROTE) of 13% to 14%. It also expects its CET1 ratio to remain above 13%.
For Banking Technology Innovation, the more significant element is the planned use of AI to support both productivity and customer service.
AI becomes an operating-efficiency lever
Societe Generale expects to generate between €500 million and €600 million in savings from AI-related initiatives, including around €350 million of savings already identified by 2029, according to the strategy announcement. The bank also expects AI-driven productivity gains to contribute to a reduction in IT spending of approximately €500 million over the 2026-2029 period.
The group said its AI deployment will be gradual and controlled, building on existing simplification, organizational restructuring and process re-engineering.
A strategic agreement with Anthropic is described by Societe Generale as a major step in accelerating corporate AI adoption. The bank expects the collaboration to support productivity while improving service quality.
The approach reflects a broader shift in financial institutions from experimenting with generative AI toward integrating AI into core operating processes.
Societe Generale’s previous transformation plan already emphasized operational efficiency, portfolio simplification and risk management. Its 2023 strategy targeted a cost-income ratio below 60% by 2026 and ROTE of 9% to 10%.
The new roadmap extends those priorities while giving AI a more explicit role in achieving them.
Cost reduction will involve technology and workforce changes
Societe Generale expects its 2029 cost base to fall below €16.3 billion, around 2% below its estimated 2026 level.
The bank forecasts approximately €1.9 billion in gross savings between 2026 and 2029, partly offset by around €1 billion of inflation and approximately €600 million of incremental investment.
IT is one of the main areas targeted for efficiency gains. The group expects IT spending to decrease by approximately €500 million while reducing its IT intensity ratio to 12% by 2029.
The programme also includes procurement savings and an expected reduction in employee numbers through natural attrition.
That combination is important because the bank is not presenting AI as a standalone technology investment. Instead, AI is being incorporated into a wider operating-model transformation involving automation, process redesign, technology simplification and organizational changes.
Societe Generale’s latest reported results provide some evidence of the efficiency trajectory it is trying to extend. In the first half of 2026, costs declined 5%, while the cost-income ratio improved to 59.7% and ROTE reached 12.0%.
Growth will remain selective
The 2029 plan does not call for expansion across the bank’s entire portfolio.
Societe Generale said it will concentrate investment on businesses it considers capable of generating attractive risk-adjusted returns. Areas highlighted include BoursoBank, wealth and savings, selected Global Banking and Investor Solutions activities, Eastern European operations and Ayvens.
The group expects risk-weighted assets to grow by approximately 2% annually on an organic basis between 2026 and 2029, equivalent to around €25 billion of cumulative RWA growth.
This represents a more selective approach to financial-services expansion, with capital allocation tied to profitability, strategic fit and risk.
For Financial Technology, the strategy is notable because digital transformation is increasingly being treated as part of business-line economics rather than simply an IT modernization programme.
BoursoBank is a major example. Societe Generale expects the digital banking business to exceed 14 million customers by the end of 2029, while targeting RONE above 45% each year between 2026 and 2029.
The bank also expects growing demand for wealth and savings products, with 2029 targets including approximately €115 billion of BoursoBank assets under administration, €180 billion in private-banking assets under management and €205 billion in savings life-insurance outstandings.
Business divisions get separate technology targets
Societe Generale’s technology strategy varies across its business lines.
French Retail Banking, Private Banking and Insurance is targeting a cost-income ratio below 55% in 2029, supported by branch and central-function streamlining, BoursoBank growth and greater integration across its French retail model.
Global Banking and Investor Solutions is targeting a cost-income ratio below 60%. Its plan includes process redesign, automation and increased AI adoption alongside growth in financing, advisory, transaction banking and selected markets.
The Mobility, International Retail Banking and Financial Services division is targeting a cost-income ratio below 47%, with digitization and AI identified as efficiency tools across its franchises.
This distributed approach suggests that Societe Generale is treating AI as an enterprise capability rather than limiting deployment to a single innovation programme.
Risk and capital discipline remain central
The bank is also maintaining a strong emphasis on risk management as it increases technology adoption and pursues growth.
Societe Generale expects its cost of risk to remain between 25 and 30 basis points over 2026-2029. It is targeting a CET1 ratio above 13%.
Its latest reported figures show a CET1 ratio of 13.2% at the end of June 2026 after accounting for an announced €1.5 billion extraordinary share buyback. The bank reported a first-half 2026 cost of risk of 26 basis points.
The strategy also includes continued portfolio discipline, with acquisition criteria tied to returns above the cost of capital, earnings-per-share accretion, strategic fit and execution risk.
More than €21 billion of potential distributions
Societe Generale’s roadmap also outlines a significant distribution framework.
The ordinary distribution policy will target a 50% payout ratio of reported net income, split between cash dividends and share buybacks, with an interim dividend expected in the fourth quarter.
The bank expects ordinary distributions to exceed €13 billion between 2026 and 2029. It also estimates that excess capital above a 13% CET1 ratio could potentially support up to approximately €8 billion of additional distributions during the period.
Combined, the two components could exceed €21 billion, although the excess-capital component depends on future capital levels and management decisions.
The 2029 strategy therefore links technology investment, operational efficiency and selective business growth with a capital-allocation framework designed to preserve balance-sheet strength while returning capital to shareholders.
For the broader Banking Technology Innovation market, the key development is the increasing integration of AI into bank economics. Societe Generale is not setting AI adoption apart from its financial strategy; it is positioning automation, process redesign and AI-enabled productivity as mechanisms for changing the cost structure of a large financial institution.
Market Landscape
European banks are moving from broad digital-transformation programmes toward more targeted AI and automation initiatives tied to measurable efficiency and customer-service objectives.
Societe Generale’s latest plan illustrates this shift. Its 2029 targets combine AI-enabled productivity with IT simplification, process automation and business-line transformation. The bank’s first-half 2026 results showed a 59.7% cost-income ratio and 12.0% ROTE, providing the operational baseline from which its longer-term targets are being set.
The challenge will be converting AI experimentation into repeatable savings while maintaining regulatory controls, model governance, cybersecurity and service quality.
Top Insights
- Societe Generale targets 13%-14% ROTE and a cost-income ratio below 55% by 2029 as it enters its next transformation phase.
- AI initiatives are expected to generate €500 million-€600 million of savings, including approximately €350 million already identified by 2029.
- The bank expects IT spending to fall by about €500 million while AI and automation support productivity improvements.
- BoursoBank is targeted to exceed 14 million customers by 2029, making digital banking a major growth component.
- Ordinary and potential excess-capital distributions could exceed €21 billion across 2026-2029, subject to future performance and capital decisions.
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