Q. To talk about the future of agents, let\u2019s start with their beginnings. When were agents first on the map? <\/strong><\/h4>\n\n\n\nJohn McCarthy<\/a> and Allen Newell<\/a> discussed \u2018intelligent agents\u2019 as early as the 1950s. The International Journal of Agent Oriented Engineering<\/a> has been publishing information on agents for the past two decades. <\/p>\n\n\n\nBut for many, it feels<\/em> like agentic AI is moving quickly. That\u2019s because technology is typically developed first, with practical applications \u2014 or what we do with it \u2014 figured out later.<\/p>\n\n\n\nWhat you’re feeling right now is the combined pull of decades of computer science thinking that\u2019s already been done. All that groundwork means autonomous AI solutions like Salesforce\u2019s Agentforce<\/a> can be applied immediately to practical, real-world use cases \u2014 something that can feel like magic. <\/p>\n\n\n\n\nAll that groundwork means autonomous AI solutions like Salesforce\u2019s Agentforce<\/a> can be applied immediately to practical, real-world use cases \u2014 something that can feel like magic.<\/p>\nMax Kirby, Principal AI Architect at Salesforce<\/cite><\/blockquote>\n\n\n\nFor example, with Agentforce, Precina Health is automating patient check-ins, unifying clinical data from EMRs and lab reports, and onboarding practitioners with coaching in rapport-building and clinical guidance\u200c \u2014 \u200callowing clinicians to focus on high-impact care while scaling personalized diabetes support nationwide, saving thousands of dollars per year in reduced administrative overhead and clinical training costs<\/a>. <\/p>\n\n\n\nQ. Imagine it’s the year 2030. How do you think agents will alter our day-to-day work life?<\/strong><\/h4>\n\n\n\nAgents lessen the need for point-and-click interfaces. You give agents a task and they do it for you. Yet, for two and a half decades, UX design has focused on the human operation of the computer. Now, we have something that can essentially operate the computer for us, and that will change things.<\/p>\n\n\n\n
The second thing that will change is screen time. A lot of our life is spent in front of screens, because we work at screens, are entertained by screens, and carry screens in our pockets. With agents, I predict we\u2019ll spend less time working with screens and more time working with agent-friendly modalities, like Augmented Reality (AR) and Mixed Reality (MR), which naturally carry more context through speech, images, and video. <\/p>\n\n\n
But for many, it feels<\/em> like agentic AI is moving quickly. That\u2019s because technology is typically developed first, with practical applications \u2014 or what we do with it \u2014 figured out later.<\/p>\n\n\n\n What you’re feeling right now is the combined pull of decades of computer science thinking that\u2019s already been done. All that groundwork means autonomous AI solutions like Salesforce\u2019s Agentforce<\/a> can be applied immediately to practical, real-world use cases \u2014 something that can feel like magic. <\/p>\n\n\n\n All that groundwork means autonomous AI solutions like Salesforce\u2019s Agentforce<\/a> can be applied immediately to practical, real-world use cases \u2014 something that can feel like magic.<\/p>\nMax Kirby, Principal AI Architect at Salesforce<\/cite><\/blockquote>\n\n\n\n For example, with Agentforce, Precina Health is automating patient check-ins, unifying clinical data from EMRs and lab reports, and onboarding practitioners with coaching in rapport-building and clinical guidance\u200c \u2014 \u200callowing clinicians to focus on high-impact care while scaling personalized diabetes support nationwide, saving thousands of dollars per year in reduced administrative overhead and clinical training costs<\/a>. <\/p>\n\n\n\n Agents lessen the need for point-and-click interfaces. You give agents a task and they do it for you. Yet, for two and a half decades, UX design has focused on the human operation of the computer. Now, we have something that can essentially operate the computer for us, and that will change things.<\/p>\n\n\n\n The second thing that will change is screen time. A lot of our life is spent in front of screens, because we work at screens, are entertained by screens, and carry screens in our pockets. With agents, I predict we\u2019ll spend less time working with screens and more time working with agent-friendly modalities, like Augmented Reality (AR) and Mixed Reality (MR), which naturally carry more context through speech, images, and video. <\/p>\n\n\n\n
Q. Imagine it’s the year 2030. How do you think agents will alter our day-to-day work life?<\/strong><\/h4>\n\n\n\n
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