Techsauce Global Summit 2026: SCB 10X Explores Always-On Economy
Dr. Narong Borijindakul from SCB 10X highlights the Always-On Economy at Techsauce Global Summit 2026, driven by 24/7 AI agents.
Stock photo for illustration only, not from the actual event
- SCB 10X shared insights on the Always-On Economy at Techsauce Global Summit 2026
- AI agents evolve to handle goals and execute continuous tasks 24/7 without prompting
- Robust hardware infrastructure and lower computing costs remain critical
- Consumer behavior shifts from the Attention Economy to the Intention Economy
Conducting purchases and financial transactions today still requires direct human intervention across every stage, ranging from opening applications to gathering data, comparing options, making decisions, and executing payments. Should artificial intelligence become capable of managing these workflows autonomously without requiring constant manual prompts, the broader economic landscape could undergo a massive structural transformation.
These insights were shared by Dr. Narong Borijindakul, Technical Specialist in Venture Capital at SCB 10X, during a session titled The Always-On Economy: What Happens When AI Stops Waiting for Prompts at the Techsauce Global Summit 2026, an event dedicated to identifying upcoming technological trends shaping future businesses and economies.
Stock photo for illustration only, not from the actual event
Operating as the technology startup investment arm under the SCBX group, SCB 10X continuously monitors signals of change from the global tech ecosystem through direct investments, startup collaborations, and expert networks. A primary signal currently under observation is the transition from prompt-reliant AI to proactive AI agents capable of receiving objectives, formulating plans, and executing continuous tasks independently, ultimately establishing the framework for the Always-On Economy where AI operates on behalf of humans around the clock.
This emerging class of AI agents operates distinctively from conventional tools that merely await step-by-step instructions. For instance, when searching for health insurance policies, a human user often encounters fatigue while comparing numerous providers and eventually abandons the task. In contrast, an AI agent only requires an initial objective, after which it evaluates offerings, screens dozens of relevant options for final review, and coordinates appointments and transactions through completion.
"The critical point is not merely having AI answer questions, but enabling AI to receive an objective and continuously search, evaluate, compare, and execute tasks toward that goal."
Dr. Narong BorijindakulThe integration of autonomous AI agents is bound to reshape how commercial enterprises reach target customers. While traditional digital strategies prioritize search engine optimization and visually appealing storefronts designed to capture human attention, future interactions may involve direct negotiations between buyer-side AI and seller-side AI. Under such conditions, superficial webpage aesthetics will decline in importance as AI systems evaluate transactions strictly based on objective metrics such as pricing, quality, and reliability.
From an economic perspective, the emergence of the Always-On Economy resolves human attention bottlenecks that traditionally prevent potential transactions from occurring due to time constraints. Transitioning into an Intention Economy allows consumers to simply declare their objectives, leaving automated AI agents to navigate the execution phase entirely, thereby redefining transaction efficiency in the digital era.
Nevertheless, realizing the full potential of Always-On agents relies heavily on supportive infrastructure. Dr. Narong noted that this foundation comprises three essential pillars: hardware optimization for reduced computing expenses, advanced AI agent capabilities, and supporting system architecture. Hardware developments currently focus on specialized chip architectures and the separation of processing units from memory modules to overcome data processing bottlenecks.
Source: Techsauce
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