Another little aspect of voice is overlooked; voice is not just text read aloud. Voice contains a lot more information, intonation, data than the typed word. Often I think we write and read so much text, that we forget that they are (terribly convenient!) abstractions of the richer communication.
In the 'only Apple' approach, ie., what are things a technology enables that were impossible before, one might ask "what can *only* voice, do?" State of mind, areas of focus, satisfaction or dissatisfaction are all encoded in the sounds we make.
And, of course, voice is additive. We've all experienced the frustration of Siri, or Alexa not understanding when we're *not* talking to it, or what we're talking to it about. Voice alone makes that a hard problem for even a human. But our computers' new-found voice abilities add to, or you might say, multiply by, other senses/modalities like vision…then we start getting a robust understanding of a humans intention, focus, mental state.
I think you're spot on with the opportunity and view on vertical vs horizontal - however I think like most AI SaaS tools, the distribution (and hence GTM) would be the moat among the plays possible here. It can't be the usual SaaS plays but more like a staffing agency approach.
Would love you to get more specific here - what tactics do you see people using? Outside of responding to job ads (which i think could be a great tactic at the start), i'm not clear on how people are approaching GTM differently in AI from regular SaaS.
Really good article. The jury is out on this one. The discussion goes back to whether a swarm of specialized agentic AIs working as a cohesive network would be better at solving problems at a lower computational cost than a superintelligent AI. Companies like Aitomatic are pioneering a new type of Agentic AI called Small Specialised Agents. They trained these for highly specialized applications in semiconductor manufacturing and others. See their AI Virtual Advisor here. https://www.aitomatic.com/products/aiva
I believe specialized Agentic AI is the future. A long way to go to get to seamless handover and coordination between various SSAs. We are building SSAs to maximize the lifecycle value of industrial equipment with circular economy. Its a sweet spot for Agentic AI with sparse and disjointed data, as well as simple but domain knowledge driven manual decision making.
Another little aspect of voice is overlooked; voice is not just text read aloud. Voice contains a lot more information, intonation, data than the typed word. Often I think we write and read so much text, that we forget that they are (terribly convenient!) abstractions of the richer communication.
In the 'only Apple' approach, ie., what are things a technology enables that were impossible before, one might ask "what can *only* voice, do?" State of mind, areas of focus, satisfaction or dissatisfaction are all encoded in the sounds we make.
And, of course, voice is additive. We've all experienced the frustration of Siri, or Alexa not understanding when we're *not* talking to it, or what we're talking to it about. Voice alone makes that a hard problem for even a human. But our computers' new-found voice abilities add to, or you might say, multiply by, other senses/modalities like vision…then we start getting a robust understanding of a humans intention, focus, mental state.
You wrote this in July! It’s as if you manifested us only months later… :)
I think you're spot on with the opportunity and view on vertical vs horizontal - however I think like most AI SaaS tools, the distribution (and hence GTM) would be the moat among the plays possible here. It can't be the usual SaaS plays but more like a staffing agency approach.
Would love you to get more specific here - what tactics do you see people using? Outside of responding to job ads (which i think could be a great tactic at the start), i'm not clear on how people are approaching GTM differently in AI from regular SaaS.
I just saw the comment, would be difficult to explain - discuss at length when we meet.
Really good article. The jury is out on this one. The discussion goes back to whether a swarm of specialized agentic AIs working as a cohesive network would be better at solving problems at a lower computational cost than a superintelligent AI. Companies like Aitomatic are pioneering a new type of Agentic AI called Small Specialised Agents. They trained these for highly specialized applications in semiconductor manufacturing and others. See their AI Virtual Advisor here. https://www.aitomatic.com/products/aiva
I believe specialized Agentic AI is the future. A long way to go to get to seamless handover and coordination between various SSAs. We are building SSAs to maximize the lifecycle value of industrial equipment with circular economy. Its a sweet spot for Agentic AI with sparse and disjointed data, as well as simple but domain knowledge driven manual decision making.
Thanks for sharing, I hadn't seen Aitomatic before, will dig in.