AI Adoption in APAC Financials Enters a Scaling Phase, with Productivity Gains as the Core Return

Overview

JPMorgan surveyed 317 APAC listed companies from late May to mid-July 2026, covering 12 sectors and 14 markets with approximately US$5.2 trillion in market capitalization. This report focuses on insurance, banking, and financial services, comparing their AI adoption, investment, business outcomes, implementation barriers, workforce effects, and profitability expectations against APAC-wide benchmarks.

Core views

AI adoption is already widespread, and the next phase of investment assessment in financials should focus on investment intensity, the conversion of productivity into margins, and governance and workflow transformation capabilities. Banking and financial services are expanding from an above-market investment base and are expected to place greater emphasis on customer service and productivity. Insurance emphasizes productivity and customer engagement and is relatively optimistic about the industry profit pool and its own earnings, but systems integration is a significant bottleneck. Workforce effects in both sectors are mainly augmentative, although customer service and IT also have high exposure to substitution.

Analysis framework

Using an industry-prioritized survey analysis framework, the report compares responses from insurance and banking/financial services with APAC-wide benchmarks, and develops investment implications across AI spending, motivations, expected operating impacts, scaling barriers, job substitution and augmentation, industry profit pools, and company earnings sentiment.

Methodology notes

• Survey AnalysisIndustry-Prioritized Benchmark Comparison

  Cross-sectional comparison centered on industry, supplemented by region

  The analysis first compares AI implementation among surveyed companies within each industry, then incorporates APAC-wide benchmarks and regional splits to assess whether differences arise from maturity, regulation, or country composition.

• Operating Impact AssessmentInvestment–Output–Implementation Barriers Framework

  From investment intensity to operating outcomes and implementation challenges

  The framework jointly assesses AI spending as a share of expenses plus capital expenditures, expected outcomes such as productivity and revenue, and implementation constraints including data, governance, systems integration, and organizational change.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• APAC Banking and Financial Services Equities

  AI investment intensity leads the regional average and is expected to benefit from productivity, customer satisfaction, and process automation.

  Strengths

  AI investment intensity is expected to reach 7.1% over the next 12 months; labor productivity is expected to improve by 5.7%; AI augmentation rates are high in customer service and IT.

  Weaknesses

  Expected cost-side improvement is limited, with near-term earnings leverage relying more on revenue, service experience, and operational efficiency than direct cost reduction.

  Comparison

  Investment intensity is 1.3 percentage points above the APAC-wide average, but the acceleration is 74 basis points slower than the APAC-wide pace, reflecting expansion from a higher base.

  Risks

  Data privacy and security, workforce and change management, regulatory requirements, and model governance may delay scaled deployment.

• APAC Insurance Equities

  AI is expected to support earnings expectations through productivity and customer-service improvements, with industry sentiment more positive than the regional average.

  Strengths

  Expected labor productivity impact is 8.5%; the optimistic share for the industry profit pool is 53.8% and for own earnings is 69.2%; customer service augmentation is 69.2%.

  Weaknesses

  Next-12-month investment intensity of 5.3% is below the APAC-wide 5.7%; cost metrics decline by approximately 1.1% on average, meaning value creation does not primarily depend on immediate cost savings.

  Comparison

  Insurance productivity expectations exceed the APAC-wide average, but investment intensity and the pace of acceleration are below regional benchmarks.

  Risks

  Systems and workflow integration is the primary barrier; customer service and IT roles have high substitution exposure, which may create organizational, compliance, and execution risks.

Key data

• APAC AI Investment Adoption Rate88.6%Share of APAC surveyed companies reporting AI spending or investment over the past 12 months.
• APAC AI Investment Intensity4.4% → 5.7%Share of expenses plus capital expenditures, increasing by 136 basis points in the next 12 months versus the past 12 months.
• Banking and Financial Services AI Investment Intensity6.5% → 7.1%The next-12-month level is 1.3 percentage points above the APAC-wide 5.7%.
• Insurance AI Investment Intensity4.5% → 5.3%Investment continues to expand, but the next-12-month level is 0.4 percentage points below the APAC-wide average.
• Expected Labor Productivity Impact for Banking and Financial Services+5.7%The largest expected benefit over the next 12 months; customer satisfaction is expected to increase by 4.5%.
• Expected Labor Productivity Impact for Insurance+8.5%The largest expected benefit over the next 12 months; customer satisfaction is expected to increase by 3.3%.
• Main Barrier for Banking and Financial ServicesData Privacy and Security 58.1%Followed by workforce and change management at 48.4%.
• Main Barrier for InsuranceSystems and Workflow Integration 53.8%Followed by uncertainty over return on investment and maturity at 46.2%.
• Optimistic Share Regarding the Insurance Industry Profit Pool53.8%12.6 percentage points above the APAC-wide average.
• Optimistic Share Regarding Insurance Companies' Own Earnings69.2%16.3 percentage points above the APAC-wide average.

Impact & implications

For investors, AI adoption itself is no longer the primary source of differentiation. Higher investment intensity in banking and financial services supports continued investment in productivity and customer experience, but data security, model governance, and compliance capabilities will determine the pace of scaling. Insurance has stronger productivity expectations and more positive sentiment, with significant automation and augmentation potential in customer service and IT; however, investment may not translate into margins promptly if systems integration and process redesign do not advance in parallel. The sector's optimism about its own earnings exceeds its view of the industry profit pool, also suggesting that competition may pass some efficiency gains on to customers.

Risks

• Companies' optimistic expectations for their own earnings may exceed the profits actually available to the industry as a whole, as competition could pass productivity gains on to customers.
• Data privacy, security, model governance, and regulatory constraints may limit the scope and speed of AI deployment at financial institutions.
• Legacy systems, data silos, and insufficient workflow integration may result in higher investment while delaying returns.
• Job substitution and organizational change may create implementation friction, training costs, and operational risks.
• Survey sample sizes vary after segmentation by industry and market, so percentage changes for industries with smaller samples should be interpreted cautiously.

What to watch

• Whether the 7.1% investment intensity in banking and financial services can translate into sustainable improvements in efficiency, revenue, and customer experience.
• Whether insurers can resolve systems and workflow integration issues and convert customer-service AI applications into measurable earnings improvement.
• Financial institutions' investment and implementation progress in data privacy, security, model risk management, and regulatory compliance.
• Whether workforce augmentation continues to outpace substitution in key functions such as customer service, IT, finance, and operations.
• Whether AI-driven productivity gains are retained as profit amid industry competition or passed on to customers through pricing and service improvements.