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AI Spending Doubles as CEOs Bet on Agents

AI Spending Doubles as CEOs Bet on Agents

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O P
January 17, 2026

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Welcome back! OP here again, helping you with another addition of Agent Pulse - your go-to spot for agentic news, insights and more.

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The Latest Agentic Development

59% Expect ROI Within 12 Months

KPMG's latest AI Pulse survey finds that while headline agent deployment dipped to 26% (from 42% in Q3), leading enterprises have actually moved beyond pilots into professionalized, orchestrated multi-agent systems—readying data infrastructure, investing in governance, and scaling reliably. 67% of business leaders maintain AI investment spending even if recession hits, and 59% expect measurable ROI within 12 months. KPMG notes enterprise adoption is accelerating, not slowing, as organizations shift from experimentation to production readiness.

Strategic implication: The agent economy has crossed the chasm from hype to operational deployment. Companies reporting "declining adoption" are actually consolidating around serious, scalable implementations. The 2026 battleground is infrastructure, governance, and multi-agent orchestration maturity.

BCG: AI Spending Doubles as CEOs Bet on Agents

A new BCG survey finds companies plan to double their AI investment in 2026, with roughly 30% of budgets earmarked for agentic AI initiatives. An overwhelming 90% of executives believe AI agents will deliver measurable ROI in 2026, underscoring strong C-suite confidence that autonomous agents will drive business value

60% of brands will use agentic AI for 1:1 interactions by 2028

Gartner predicts 60% of brands will deploy agentic AI to deliver streamlined one-to-one interactions by 2028, arguing it reshapes marketing away from channel-based approaches toward persistent “digital concierges.” Practical implication: martech stacks will need stronger data governance + transparency to safely run agentic personalization at scale.

AgileBlue introduces autonomous SOC agent capabilities for real-time remediation

AgileBlue announced “Agentic AI Agents” designed to operate like SOC teammates—independently assessing whether activity is a threat and taking automated remediation actions. The broader signal: cybersecurity is rapidly normalizing agents as operational responders (with humans retaining oversight), not just alert summarizers.

interface.ai ships Agentic Banking upgrades (BankGPT) aimed at measurable growth outcomes

interface.ai announced its Q4 2025 release expanding BankGPT with prescriptive analytics, experience scoring, next-best-action guidance, and more integrations—explicitly pitching “agentic banking” as outcome-driven, not just deflection/automation. This is a strong example of regulated-industry agents being packaged with governance and measurement baked in.

Alibaba adds agentic actions + in-chat payments to its Qwen consumer AI app (public test)

Alibaba is testing new Qwen App capabilities in China that let users trigger end-to-end actions (ordering food, booking travel, completing payments) from a single prompt, powered by integrations across Alibaba’s ecosystem (e.g., Alipay). Strategic implication: consumer “agents” are shifting from recommendation to execution—with payments as the unlock.

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