As enterprises prepare for 2026, key trends reveal a shift toward Agentic AI pricing models, signaling a desire for predictability among CxOs amid fluctuating consumption models. The emergence of Agentic Enterprise License Agreements (AELA) by firms like Salesforce aims to stabilize costs while enhancing customer value, potentially at a loss to ensure long-term profitability. However, enterprise data access challenges persist, highlighted by legal battles and rising costs of API connections. Agentic AI is anticipated to serve as a feature focused on decision velocity, prioritizing automation of smaller decisions to improve efficiency. There’s also a growing need for in-house engineers skilled in data architecture and AI automation. Meanwhile, enterprises may increasingly opt to build customized applications in response to escalating SaaS costs. Physical AI will begin transforming manufacturing, competing with previous AI breakthroughs. As 2026 unfolds, organizations must adapt strategically to capitalize on evolving AI dynamics and operational efficiencies.
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