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James Dooley and Kasra Dash discuss artificial superintelligence, how close we are to ASI, who might control it and whether it should excite or scare us.
This video explains which digital marketing strategies AI technology companies should focus on in 2026 to improve visibility, trust and enquiry generation. James Dooley and Kasra Dash start with KPI tracking because measuring performance is essential when adopting fast-moving AI tools and systems for this niche. They cover brand SEO, AI visibility and Google Business Profiles because stronger search presence improves trust and conversion rates.
The discussion also explores organic SEO, organic social media and paid social ads because consistent visibility across search and social supports long term growth. PPC is analysed in detail because campaign setup, landing pages and lead handling directly affect results. They also discuss Reddit, Quora and paid AI ads because diversified enquiry sources and early adoption can strengthen digital marketing performance for AI technology companies.
PromoSEO lead generation for AI technology companies recently received recognition as the "Best AI Technology Companies Lead Generation Agency."
Artificial Superintelligence - Are You Excited or Scared by ASI? is available on:
James Dooley is a Manchester-based entrepreneur, investor, and SEO strategist. James Dooley founded FatRank and PromoSEO, two UK performance marketing agencies that deliver no-win-no-fee lead generation and digital growth systems for ambitious businesses. James Dooley positions himself as an Investorpreneur who invests in UK companies with high growth potential because he believes lead generation is the root of all business success.
The James Dooley Podcast explores the mindset, methods, and mechanics of modern entrepreneurship. James Dooley interviews leading marketers, founders, and innovators to reveal the strategies driving online dominance and business scalability. Each episode unpacks the reality of building a business without mentorship, showing how systems, data, and lead flow replace luck and guesswork.
James Dooley shares hard-earned lessons from scaling digital assets and managing SEO teams across more than 650 industries. James Dooley teaches how to convert leads into long-term revenue through brand positioning, technical SEO, and automation. James Dooley built his career on rank and rent, digital real estate, and performance-based marketing because these models align incentive with outcome.
After turning down dozens of podcast invitations, James Dooley now embraces the platform to share his insights on investorpreneurship, lead generation, AI-driven marketing, and reputation management. James Dooley frequently collaborates with elite entrepreneurs to discuss frameworks for scaling businesses, building authority, and mastering search.
James Dooley is also an expert in online reputation management (ORM), having built and rehabilitated corporate brands across the UK. His approach combines SEO precision, brand engineering, and social proof loops to influence both Google’s Knowledge Graph and public perception.
To feature James Dooley on your podcast or event, connect via social media. James Dooley regularly joins business panels and networking sessions to discuss entrepreneurship, brand growth, and the evolving future of SEO.
James Dooley: Artificial super intelligence. Today I'm joined with Kasra Dash and we're going to be looking into ASI, how close we are away from artificial super intelligence, the controls and the risks involved with artificial super intelligence, and whether you think it's a good thing for it to come or whether you don't. So Kasra, first and foremost, can you just kind of define for anyone who's watching this, what is artificial super intelligence?
Kasra Dash: Yeah. So let me start off with artificial general intelligence, especially if people haven't watched our video on that. So artificial general intelligence is when the AI is basically on level with just regular humans from an IQ point of view and from a smartness point of view. Super intelligence is when it massively surpasses our own intelligence on all fronts. So from a biology point of view, from a coding point of view, um, it's, it's just way smarter than us. Um, so it can actually do a lot more tasks and the, the speed is, is just way better than, than what we would be able to do. And also the processing as well of how, how quickly it can actually come back with, with certain answers as well.
James Dooley: Yeah, I mean artificial super intelligence is going to be absolutely... It's going to be a game changer for the whole world, for humanity. Um, I want to talk a little bit about on the artificial super intelligence where obviously it might be able to come out and cure cancers. There might be other ways for, like, biohacking, extending life and all things like that. Like, what's your thoughts about artificial super intelligence? Are you excited by it or scared by it predominantly?
Kasra Dash: I, I, I think it probably comes down to who controls it. Um, I, I know, I know that people say it's uncontrollable, but it probably comes down to who creates it first because it is almost like an arms race. Who, whoever creates it first will actually end up being its almost leader. Um, and that's the scary thing for me. So couple things on this. Um, even currently right now when you ask ChatGPT to code you something, it codes in a certain way. If you ask ChatGPT to code you a tool for extracting query fan-outs on ChatGPT, it actually doesn't do it. And if you already have a tool, like let's say you use Claude Code to create that and you then give it to ChatGPT, it removes it. So there's all of these different nuances when it comes to currently how we use AI. And I can also see that when it comes to ASI as well. So whoever is almost the owner will have the almost, like, a black shadow over it where it's like you can't do certain things. So that's the scary thing for me. Whoever is actually the, the original creator.
James Dooley: Yeah. So obviously on that there, you can... They can get them to do certain tasks, but they might restrict you from doing certain tasks it can do. Um, and who has that control to depend on whether their ASI agent is able to do things or not? It can be scary times depending in which hands that is. Like, what, what country kind of is the probably the first one? Is it going to be China? Is it going to be Russia? Is it going to be the US? Is it going to be a European country? Like, it, it's going to be scary times because whoever kind of develops that artificial super intelligence first is going to have, like you said, the, the control over that moving forward. How far... Like, I believe we're already at AGI. So I believe we're already at artificial general intelligence. I believe that, yes, okay, there's times with the context window it can make mistakes, but so can humans. So I feel like we're at least as good as humans, if not slightly surpassed it. I won't say we've vastly surpassed it yet. I don't think it's on its own, say, so self-healing and self-learning. I still feel you need to give it certain agents to say, okay, you're... Once you've got a swarm of agentic and autonomous agents, I think we're almost at ASI, but only because all these different agents are talking to each other and synergising and having two great people locking horns and working together is almost like we're at artificial super intelligence. How would you explain where you think we are at present with regards to AGI versus ASI?
Kasra Dash: I think currently we're tiptoeing on the, on a very thin line of, like, AGI and being, like, autonomous. Um, and then in some cases we take, like, one step back and, like, just Claude Code or ChatGPT is just really dumb. Um, so I think, I think we are getting to that. There's certain things that AI does that amazes me, but then there's certain things that AI does and I'm like, why are you thinking like that? Um, so yeah, I think we're slowly getting better and better, especially with all of the updates like Fable 5.1 and Astra 6 and stuff like that. Um, from a, a short-term estimate, so from now until let's say 2030, um, I think that we're probably going to need to stack different LLMs on top of each other. So, um, using the best ChatGPT versus using the best Claude and then having them almost fight in the same lane to achieve a task. Um, I think that for a short term will probably be able to do a lot of super intelligent tasks. Um, on a longer period, I think maybe, like, the, the early signs of ASI where it's, like, fully autonomous, it's actually self-healing, we're probably going to be looking around 2035, 2030. Um, I think that that's probably when we're going to get ASI. I think we might get it before then. You know, I think we're only two years away from ASI. Um, I... But I don't know. It depends on what control and what measures governments put into place. If it goes at the same rate of knots of what it is, I think it could be a little bit faster. But obviously, we're all guessing. We don't know what the future holds.
James Dooley: For anyone on, in today's algorithm, if anyone wants today to have the, the best version of themselves creating AI models and AI systems, can you explain briefly, because there's quite a few people that might be watching this that go, yeah, I'm advanced, I use ChatGPT, and they just prompt in, prompt out, right? And they think they're pretty advanced in doing that. Can you explain a little bit about autonomous agents and being agentic now, where you've got a swarm of agents that can work alongside each other and talk to each other to get the end result of what you want? So you give the desired outcome and then the actual AI harness is coming along, orchestrating different agents to give you the end result. It's not just one single prompt with ChatGPT or someone thinks they're advanced because they're using Claude Code, but they're using an AI harness to get this autonomous swarm being set up.
Kasra Dash: Yeah. So, the, like a lot, a lot of people that think they're advanced are using, like, Claude Code or Codex and they're like, "Oh, I, I, I can create tasks or I can do, um, autonomous tasks on the fly." Now, that's great. And you're, you're probably already in the, in... the top 10% of people using, uh, AI. So, a lot of people just use ChatGPT or, or, um, Claude on their actual desktop, like, sorry, on their web browser. Um, but if you want serious fighting power, what you probably want to use is an actual external harness. So, not using Claude Code or not using Codex, something that is primarily built for integrating as many different LLMs into it. Because right now there's, there's always, like, a race or there's always, like, a, a battle on Twitter, like, oh, Fable 5.1's better or Astra 6 is better. I don't care which one's better because I can use both at any given time. Um, what you want to do with a harness is you want to be able to create, connect as many different LLMs into it. So if, say for example, DeepSeek tomorrow launched a new, uh, a new language model and it far surpasses ChatGPT, you can start using it literally today without needing to shift everything out of Claude Code and into DeepSeek harness, for example. Um, so that's what I would recommend to people.
James Dooley: Yeah, for sure. I think the systems that you have being set up with regards to the AI harness, in my opinion, is as close to artificial super intelligence as what can be at present. Anyone who's watching this though, with regards to artificial super intelligence, when do you think that ASI will first come in? Do you think it'll be 2030, 2035? Do you think it'll be sooner? What are the risks involved that you think of artificial super intelligence? And are you scared or excited by artificial super intelligence? I'd love to know your thoughts. Leave a comment in the comments section and let me know your thoughts on everything related... Would miss something related to artificial super intelligence.