How to read this · Hiring themes aggregate a point-in-time census of evidence-matched public vacancies; individual vacancies are intentionally not shown. Disclosures come from official investor materials. News is retained source coverage mentioning the organisation—not a claim of activity by itself.
Hiring intelligence
What the hiring portfolio indicates
A thematic view of the capabilities, functions and workforce mix visible across the latest careers census. Counts show how many evidence-matched vacancies contributed to each theme.
Leading build themes
GenAI, copilots & agents43
Data foundations & analytics32
AI platforms & infrastructure29
Risk, governance & responsible AI28
Operations & process automation12
Document & knowledge intelligence11
Developer productivity & IT7
Fraud, AML & financial crime5
Where demand sits
Technology & engineering40
Operations & service delivery14
Markets, investment & treasury12
Risk, controls & compliance8
Credit, underwriting & claims4
Customer, product & propositions4
Workforce mix
AI/ML engineering30
Domain analytics & decision intelligence17
Operations, automation & enablement12
AI platform & MLOps10
Risk, compliance & control intelligence7
Data engineering & architecture4
Named technology signals
Python39
SQL22
Azure19
AWS14
Kubernetes14
Google Cloud / Vertex AI10
Kafka10
Spark / PySpark9
Disclosures
What the organisation has said about AI
Source-linked findings from official filings, investor presentations and published calls.
Risk and governanceEfficiencyExplicit
Risk factors disclosed for emerging technologies and artificial intelligence
Bank of America identified risks concerning the development, implementation, use, and management of emerging technologies, including artificial intelligence. These risks encompass the potential inability to achieve expected benefits such as increased productivity and cost savings.
“the risks related to the development, implementation, use and management of emerging technologies, including artificial intelligence and the ability to achieve expected or potential benefits, such as increased productivity and cost savings;”
31 Jul 2026 · Bank of America quarterly report filed 31 Jul 2026Open evidence
Productivity and efficiencyGrowthExplicit
AI productivity tools deployed across multiple business segments to enhance capacity and efficiency
Bank of America has deployed various role-specific AI tools. This includes equipping more than 20,000 wealth professionals with AI for meeting-related activities, around 4,000 Corporate & Investment Banking professionals with AI for research and presentations, and approximately 19,000 developers with real-time coding assistance, which has increased productivity by over 20%. Additionally, the firm has approximately 200,000 active users generating over 400,000 prompts per day.
“ü >20K wealth professionals equipped with AI to assist with meeting-related activities to increase advisor capacity to serve additional clients ü ~4K Corporate & Investment Banking professionals using AI for research and presentation preparation to enhance client coverage and growth opportunities ü ~19K developers leveraging real-time coding assistance, increasing productivity >20%”
14 Jul 2026 · Bank of America results filing filed 14 Jul 2026Open evidence
Products and use casesUnclearInferred
Over 300 AI and machine learning use cases approved alongside generative AI rollouts
The bank has approved over 300 AI and machine learning use cases. Of these, 114 generative AI use cases are live, with 34 of them being fully deployed.
“>300 AI / machine learning use cases approved | 114 live generative AI use cases with 34 fully deployed”
14 Jul 2026 · Bank of America results filing filed 14 Jul 2026Open evidence
Client demandGrowth and efficiencyInferred
AI systems integrated into customer service and sales workflows
The bank has integrated multi-process AI-enabled systems into client-facing workflows. This includes approximately 5,000 call centre agents receiving automated real-time recommendations, and about 2,500 Global Payments Solutions representatives using AI to accelerate responses to client inquiries.
“ü ~5K call center agents receiving automated recommendations with real-time results ü ~2.5K Global Payments Solutions sales and servicing representatives using AI to expedite response time to client inquiries”
14 Jul 2026 · Bank of America results filing filed 14 Jul 2026Open evidence
Talent and operating modelEfficiencyInferred
Workforce reskilled with over 600,000 AI training courses completed
To support its front-line productivity efforts, Bank of America's workforce has completed over 600,000 AI training courses as part of its reskilling and training-at-scale initiative.
“Reskilling Workforce and Training at Scale >600K AI training courses completed”
14 Jul 2026 · Bank of America results filing filed 14 Jul 2026Open evidence
Risk and governanceEfficiencyExplicit
Emerging technology risks highlighted around artificial intelligence implementation
Bank of America identified risks relating to the development, implementation, use, and management of emerging technologies, specifically pointing out artificial intelligence and the uncertainty of achieving expected benefits like cost savings and productivity.
“the risks related to the development, implementation, use and management of emerging technologies, including artificial intelligence and the ability to achieve expected or potential benefits, such as increased productivity and cost savings”
14 Jul 2026 · Bank of America results filing filed 14 Jul 2026Open evidence
Risk and governanceEfficiencyExplicit
AI and emerging technologies identified as key operational risks
Bank of America disclosed risks associated with the development, implementation, use, and management of emerging technologies like artificial intelligence. These risks could potentially impact the bank's ability to achieve expected benefits, including cost savings and increased productivity.
“the risks related to the development, implementation, use and management of emerging technologies, including artificial intelligence and the ability to achieve potential benefits, such as increased productivity and cost savings;”
1 May 2026 · Bank of America quarterly report filed 1 May 2026Open evidence
Risk and governanceEfficiencyExplicit
Emerging technology and artificial intelligence identified as risk factors
Bank of America disclosed risk factors concerning the development, implementation, use, and management of emerging technologies, specifically artificial intelligence. The firm noted uncertainty regarding the ability to achieve expected benefits from these technologies, such as productivity improvements and cost reductions.
“the risks related to the development, implementation, use and management of emerging technologies, including artificial intelligence and the ability to achieve its potential benefits, such as increased productivity and cost savings”
15 Apr 2026 · Bank of America results filing filed 15 Apr 2026Open evidence
Risk and governanceRisk and controlExplicit
Evolving AI regulations impose new governance and compliance obligations
Bank of America faces rapidly evolving AI-related laws, rules, and regulations in both U.S. and international jurisdictions, requiring adherence to obligations like governance, risk management, and restrictions on AI use.
“Artificial intelligence-related (AI) LRRs are also rapidly evolving in the U.S. and non-U.S. jurisdictions imposing various obligations, including AI governance and risk management, transparency and consumer disclosures, documentation and reporting requirements, AI use restrictions and enhanced compliance obligations for AI systems, including those categorized as high risk.”
25 Feb 2026 · Bank of America annual report filed 25 Feb 2026Open evidence
Risk and governanceRisk and controlExplicit
Emerging technology risks include artificial intelligence and machine learning
Bank of America identified risks associated with the development, implementation, use, and management of emerging technologies, specifically noting artificial intelligence and machine learning as examples of these risks.
“the risks related to the development, implementation, use and management of emerging technologies, including artificial intelligence and machine learning”
14 Jan 2026 · Bank of America results filing filed 14 Jan 2026Open evidence
Risk and governanceRisk and controlExplicit
Risk management includes emerging technologies such as artificial intelligence and machine learning
Bank of America has highlighted risk factors associated with the development, implementation, use, and management of emerging technologies, explicitly naming artificial intelligence and machine learning.
“the risks related to the development, implementation, use and management of emerging technologies, including artificial intelligence and machine learning”
31 Oct 2025 · Bank of America quarterly report filed 31 Oct 2025Open evidence
Related intelligence
AI news and external evidence
Latest retained reporting that names the organisation. These are linked observations, kept separate from official company disclosures.
No qualifying related news item is currently retained for this organisation.