The 2026 Thesis · Why Now

Nine structural shifts redrawing the next category map.

Nine structural shifts are collapsing the operating model that defined enterprise software for the last two decades. Boards and founders that read these shifts early will define the next category. Those that don't will defend a shrinking one.

1. 01

   AI moves to the core of the system.

   AI belongs at the architectural core where it drives the most consequential changes — not bolted onto the periphery as patchwork. Peripheral AI enables 2.0-style methodologies that are only a fraction of what's inevitable, and they delay the real value AI is built to deliver. The winners rebuild from the center outward.

2. 02

   Governance elevates AI and committee-based partnerships.

   Organizational governance now formally elevates AI — and the strategic partnerships that surround it — into the committee structure. Boards stand up AI, risk, and technology committees with the authority to commission partnerships, oversee model exposure, and govern vendor relationships as fiduciary obligations.

3. 03

   Vibe coding opens previously unreachable markets.

   Prompt-driven, agentic software production has collapsed the cost and accelerated the speed of building real products. Markets that were structurally unreachable under SaaS-era economics — niche regulated workflows, regional operators, micro-verticals — become viable for small operators with credit cards and conviction.

4. 04

   Innovation becomes core to governance.

   Markets are changing too quickly, and technology is advancing too fast, for innovation to live in a side lab. Boards now require continuous reconciliation between strategy and the underlying technology stack, making innovation oversight a permanent governance function rather than a periodic initiative.

5. 05

   Security constructs become disposable.

   Long-lived perimeters, static credentials, and persistent infrastructure give way to ephemeral, regenerable security constructs. As agentic systems generate and tear down environments on demand, the defensible posture is one of disposability, zero-trust by default, and continuous re-issuance — not hardened permanence.

6. 06

   AI disintermediates markets at the core.

   AI doesn't just optimize incumbent value chains — it removes the intermediaries those chains were built to protect. Distribution, advisory, and aggregation layers that captured margin under the old model are collapsed by agentic systems that connect supply and demand directly, redrawing competitive paradigms at their foundation.

7. 07

   Online learning and reskilling become continuous.

   The way we learn is rebuilt around AI-native, always-on skill formation. The degree-and-done model is replaced by continuous, contextual reskilling embedded in the flow of work — and the institutions that govern that shift will define the workforce of the next decade rather than chase it.

8. 08

   Leadership itself becomes the differentiator.

   Boards and operators who can govern AI, security, and velocity together define which institutions survive the transition. Strategy, technology, and risk converge into a single leadership discipline — and the directors who can hold all three at once become the scarcest asset on the cap table.

9. 09

   Entrepreneurship replaces incumbency as the default path.

   Low build cost combined with agentic tooling makes founder-led, niche-first companies the dominant organizational form of the next decade. The default career and capital path shifts away from joining incumbents and toward building inside markets too small or too specific for legacy players to defend.

The advisors and directors who matter in the next cycle are the ones who can govern AI as rigorously as they govern capital — and ship as fast as the market now demands.