Amazon Web Services (AWS) urged the local Information Technology-Business Process Management (IT-BPM) sector to leverage artificial intelligence (AI) to enhanceAmazon Web Services (AWS) urged the local Information Technology-Business Process Management (IT-BPM) sector to leverage artificial intelligence (AI) to enhance

AWS urges IT-BPM sector to embrace AI to future-proof services

2026/02/25 19:50
3 min read
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Amazon Web Services (AWS) urged the local Information Technology-Business Process Management (IT-BPM) sector to leverage artificial intelligence (AI) to enhance its service offerings, amid concerns from a lawmaker who warned that the industry faces a potential job loss due to AI-driven automation.

“If our IT-BPM sector does not transform, then those jobs will really be decimated,” Precious Lim, AWS Philippines’ country manager, told reporters on the sidelines of the AWS Philippines Outlook on Tuesday.

“We need to up-level the services that we are providing, and those services should be more efficient and should leverage AI and technology. Otherwise, it will be passй.”

Ms. Lim’s statement was in response to a warning from Philippine Senator Paolo Benigno “Bam” A. Aquino IV regarding potential job losses in the sector due to AI and cybersecurity risks.

During a hearing of the Senate Committee on Science and Technology on Feb. 18, some companies noted they needed to downsize because client demand had decreased due to AI automation.

Mr. Aquino, who filed Senate Resolution 253 to tackle industry challenges amid rapid technological advancements, urged the government and private sectors to work together to address these emerging threats.

The IT-BPM industry employed around 1.9 million Filipinos and generated over $40 billion in revenue in 2025, contributing 8.2% to the country’s gross domestic product (GDP), Mr. Aquino said.

To help the local sector adapt to AI, especially agentic AI, Ms. Lim said AWS is set to roll out its Process-to-Agent (P2A) program—a framework first launched in India that helps IT-BPM companies adopt agentic AI.

“It’s not just training. It’s also about AWS providing resources, such as software architects, sandbox environments, and the ‘working backwards’ mechanism, so they can identify which processes can be automated or improved by agentic AI,” she said.

Ms. Lim also said that AWS is continuing its several initiatives, such as collaborating with government agencies, empowering micro, small, and medium enterprises, as well as students, in AI and cloud technology.

AWS KEY ANNOUNCEMENTS
AWS also announced a powerful suite of Frontier Agents, which are autonomous AI tools capable of working for hours or days without intervention. These include Kiro for navigating code and triaging bugs, the AWS Security Agent for embedding security into developer workflows, and the AWS DevOps Agent for detecting and resolving incidents.

To power these agents, AWS introduced the Amazon Nova 2 model family, which offers industry-leading price-performance for reasoning and multimodal tasks. This includes Nova Forge for training customized models on proprietary data and Nova Act, which automates browser-based tasks using natural language with 90% reliability.

Developers can now govern these systems using AgentCore, a framework that includes AgentCore Policy for setting natural language safety boundaries and AgentCore Evaluations to automate quality and safety checks.

On the hardware side, the new Graviton5 processors deliver up to 25% better performance for cloud workloads, while Trainium3 UltraServers allow organizations to train AI models up to 4.4 times faster at half the cost.

Finally, the data layer was overhauled with S3 Vectors, which scales to trillions of vectors to cut AI storage costs by up to 90%, and S3 Tables, which now features automatic cost-saving tiers and regional replication to simplify global data management. — Edg Adrian A. Eva

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