Interview, Fireside Chat
Can Software Survive AI?
- Generative AI evolution will challenge existing software moats over the near to medium term, though incumbent stability may endure for three, five, or seven years if leaders execute a checklist involving tech stack replatforming, organic roadmap definition, and monetization measurement.
- Key software metrics such as ARR growth and LTV to CAC, which have deteriorated for four years since the 2020 digital acceleration, are expected to stabilize, coinciding with a sector-wide median growth rate drop from over 20% in 2020–2021 to approximately 10% today.
- The investor base is projected to shift as a scarcity of high growth (falling from over 20% to closer to 10%) attracts value-oriented and GARP-style investors, while broader valuation support draws in cohorts previously uninterested in software.
- A separation in performance will emerge between companies that successfully transform using AI and those that lag, contingent on market evaluation phases two and three and whether metrics improve alongside moderated competitive intensity.
- Enterprises are anticipated to move past the 2022 consumer-focused "ChatGPT moment" as AI adoption gains traction within the ecosystem, driven by a narrative shift from enthusiasm to concern regarding disruption risks posed by improved coding algorithms and worker accessibility.
- Major application software firms including Microsoft, Salesforce, Workday, and Intuit are expected to pursue significant M&A and organic innovation, with specific focus on acquiring top private AI companies to bypass unproven organic R&D.
- Security leaders like CrowdStrike and Palo Alto will likely utilize M&A to strengthen platforms and reduce customer acquisition costs, paralleling application software trends where companies like Salesforce have executed over 10 acquisitions in the last 12 months to align with roadmaps.
- Companies possessing assets similar to Okta are expected to transition from low to high free cash flow margins over a short timeframe, mirroring an 18-month trajectory observed previously, in response to investor demands for margin expansion.
- Operating expense growth will increasingly correlate with decreasing compute costs rather than talent retention expenses, potentially reducing the impact of stock-based compensation on earnings quality.
- Incumbents must demonstrate superior AI outcomes leveraging domain experience and incumbency to justify proprietary technology deployment over third-party alternatives like Anthropic's or Sierra, with market leaders needing to prove they can deliver these results to maintain status three, five, or seven years into the future.