Software Survivors Round II: Which SaaS Stocks Win or Lose From AI? | MPC Markets Webinar
The sequel is here. In this live webinar, MPC Markets' Mark Gardner and AI specialist Kai break down which software companies will thrive — and which face disruption — as AI reshapes the SaaS landscape. We revisit our Five Pillars framework (compliance barriers, proprietary…
The SaaSpocalypse Revisited: Which Software Companies Will Survive AI? MPC Markets Webinar Recap — Round II | General Information Only When MPC Markets launched its first SaaS & AI webinar, the question was hypothetical for many investors: could artificial intelligence genuinely disrupt enterprise software? Round II answers that question with data. The disruption has already begun — and the market is only now starting to price it correctly. In this follow-up session, MPC's Mark Gardner and AI specialist Kai revisit every call made in Round I, score the Five Pillars framework against real-world performance, and map the landscape of winners, survivors, and companies already facing existential pressure. The Five Pillars — Scored Since Round I MPC's Five Pillars framework was built to help investors distinguish durable software moats from businesses whose value proposition AI can replicate cheaply. With over a year of market data behind us, here's how each pillar has held up. The first pillar — compliance barriers — has proven the most durable. Regulatory moats in verticals like financial services, healthcare, and government procurement make rip-and-replace costly and legally risky. The second, proprietary data, continues to separate companies whose AI models compound in value from those training on datasets anyone can access. Third, domain logic — the decades of complex business rules embedded in ERP, tax, and vertical SaaS platforms — remains genuinely hard for generic AI to absorb. Fourth, workflow embedding: products sitting at the centre of daily operations carry switching costs measured in years, not pricing negotiations. And fifth, frontier research — the distinction between companies doing foundational AI work and those simply bolting a large language model onto an existing product. The framework has held up well. The businesses that scored highest across these five dimensions in Round I are the ones that outperformed. Cybersecurity: The AI Threat That Became a Tailwind One of the most counterintuitive calls from Round I has proven prescient. Cybersecurity stocks surged precisely because of AI advancement, not despite it. The release of Anthropic's Mythos model — the company's most capable frontier system, currently restricted to a small number of trusted organisations through Project Glasswing due to cybersecurity sensitivities — exposed critical vulnerabilities in legacy security infrastructure that enterprises were slow to patch. The result was a wave of security spend that flowed directly to next-generation, AI-native vendors. CrowdStrike and Palo Alto Networks were the standout beneficiaries, and MPC's structured investment returns on those calls reached 248% and above. It's a result that validates the central thesis: companies with genuine AI integration in defensible categories outperform across cycles. ServiceNow & TechnologyOne: The Enterprise Deployment Opportunity Not every SaaS business faces disruption. Some are positioned to accelerate as enterprise AI deployment creates demand for orchestration, workflow automation, and integration. ServiceNow has effectively repositioned itself as the layer through which large organisations operationalise AI across existing workflows — a high-conviction holding that scores strongly on both workflow embedding and compliance barriers. TechnologyOne, closer to home on the ASX, benefits from deep local government and university sector embedding with compliance moats that make displacement extremely difficult. Anthropic's Trajectory: From ~$1B to a $47B Run Rate Perhaps the most striking data point in the webinar is Anthropic's own growth curve. From approximately $1 billion in annualised revenue not long ago, the company has reached a $47 billion annualised run rate — compressing years of typical enterprise software scaling into months. For ASX investors, this matters in two ways: it validates the pace at which enterprise AI adoption is accelerating, and it sharpens the question of which listed software companies are using that capability to strengthen their products — and which are exposed to disruption from it. HubSpot, DocuSign & Appen: Serious Pricing Pressure Not every software company navigates this transition cleanly. HubSpot faces real margin pressure as AI-native CRM and marketing automation alternatives compress willingness to pay. Its workflow embedding provides some buffer, but the pricing headwind is genuine. DocuSign's challenge is more structural — e-signature is commoditising rapidly as competitors embed signing natively at near-zero marginal cost, and the company needs to climb the value stack urgently. Appen's case is the most instructive of all. The company built its entire business on human-generated training data — and AI has replaced that model at scale through synthetic data generation and self-supervised learning. It serves as a cautionary tale for any software business whose value proposition is the labour of collecting…
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