Observed Signal · Feb 21, 2026 · Market Commentary · Source: Ed Sim (IT/VC) · Impact: 3/5 · Sentiment: Neutral
LPs Pivot to Deep Tech as AI Concentrates Capital
A newsletter recap of a StepStone annual meeting and wider industry signals argues venture capital is concentrating heavily into AI-native and deep‑tech companies, accelerating a widening performance gap between firms with AI tailwinds and legacy software. LPs and GPs signalled preference for physical AI, robotics, agent-native infrastructure and defense/space investments over thin software layers. The author cites data showing markedly higher revenue growth and valuation multiples for companies with AI momentum, high concentration of deal value in foundation models, and an increasingly bifurcated VC returns landscape. The piece highlights agentic AI concepts (skills, package managers, agent orchestration), endpoint security responses (e.g., Palo Alto Networks’ intent to acquire Koi), and product moves like Airtable’s Hyperagent and developer tooling such as Tessl. The bottom line: speed, scale and concentration are reshaping where durable enterprise value will accrue.
Signals a meaningful shift in VC and enterprise demand toward agentic AI, deep tech and infrastructure (security, agent orchestration) that will affect vendor selection and product roadmaps across enterprise and MarTech stacks.
Track Airtable Signals & Market Shifts in Real-Time
Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.
Key Takeaways & Evidence Grounding
- StepStone annual meeting convened LPs and GPs for ~48 hours with 600+ investors in attendance.
- Companies without AI tailwinds: 14% revenue growth, 3.1x EV/NTM multiple, 1.0x return since IPO; companies with AI tailwinds: 27% revenue growth, 9.8x multiple, 8.6x return since IPO.
- 22% of all deal value is concentrated in foundation models; the top 10 private VC‑backed companies created value equal to 112% of all exits in the past decade.
- LPs reported rotation toward deep tech, Physical AI, robotics and infrastructure for the 'Autonomous Enterprise' versus thin software layers.
- Industry moves referenced include Airtable announcing Hyperagent and Palo Alto Networks announcing intent to acquire Koi to secure agentic endpoints; Tessl launched as a package manager for 'skills'.
Connected Companies & Entities
9 Entities mappedOntology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
VC Concentration, Inception Investing, Big AI Rounds
This enterprise IT/VC newsletter analyzes the growing concentration of venture capital, investment strategies for winning market share, and the accelerating shift toward agentic and domain-specific AI. It highlights that a16z raised $15B (about 18% of venture last year) and that four firms accounted for 40% of venture funding, arguing investors must specialize by stage or go big. The author describes boldstart’s focus on “Inception” rounds and Intuitive TAM, notes Fund VII at $250M and $15M inception checks for select founders, and celebrates Tres Finance’s $130M exit to Fireblocks led by boldstart. The piece also summarizes recent enterprise AI and security funding and M&A activity (e.g., Anthropic, Cyera, Observe, Koi, CrowdStrike/SGNL) and flags agentic AI, Physical AI in robotics, and execution/observability gaps as key infrastructure opportunities for 2026.
AI Growth, Investing, and Talent in Enterprise VC
The newsletter analyses rapid AI-driven growth across cloud and frontier labs and outlines how early-stage investors should evaluate founders in this environment. The author highlights striking commercial metrics — AWS AI run rate topping $15B and reports that Anthropic shows $44B ARR — and notes large inception-round financings (e.g., Ineffable Intelligence’s $1.1B seed). The piece argues that compute and talent (not capital) are the primary constraints, and that investors should prioritise founders with elite technical teams, a clear 12–18 month product plan, long-term mission durability, and high "learning velocity." It contrasts two cybersecurity go-to-market lanes (preemptive new-attack-vector protection vs. reimagining incumbents) and discusses enterprise challenges around secure, private agent deployments and distribution versus product dynamics among platform and lab incumbents.
AI Growth Reshapes Enterprise IT and VC Investing
The newsletter argues AI’s adoption is outpacing prior cloud growth, citing striking benchmarks for AWS and Anthropic to illustrate scale. It advises early-stage investors to prioritize founders with deep technical talent, a focused 12–18 month product plan, long-duration missions, and high “learning velocity,” noting compute and engineering hiring as primary constraints and recommending founders identify their top 5–10 early hires. The piece contrasts investment lanes—capital‑intensive physical systems (e.g., robotics) versus the high-throughput AI software “jet stream”—and outlines cybersecurity monetization approaches (pre-empting new attack vectors vs. reimagining existing solutions). It also surveys industry signals: major funding and product moves, regulatory friction, and specific developments from Microsoft, OpenAI, and others.
Track Real-Time Market Signals & Shifts
Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.
