Observed Signal · Feb 17, 2026 · Research Report · Source: https://martechseries.com/feed/ · Impact: 3/5 · Sentiment: Positive
Developers Ready to Switch for Better Agentic AI Solutions
Nylas published its 2026 State of Agentic AI report based on a survey of more than 1,000 developers and product leaders. The research finds 94% of respondents would consider switching vendors for stronger, scalable, and compliance-ready agentic AI capabilities. It also reports that 67% are already building or shipping agentic workflows and 85% expect AI agents to be table stakes within three years. Nylas and customer ClickUp emphasize that agentic AI adoption is shifting vendor competition from feature sets to core infrastructure — clean data layers, reliable APIs and built-in governance — while teams deploy agents pragmatically with human oversight, observability and compliance controls.
Survey shows widespread vendor-switch intent and accelerating production adoption of agentic AI, signalling material infrastructure and vendor-selection shifts for teams building AI agents but not a platform-level regulatory or financial shock.
Track ClickUp 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
- Nylas released the 2026 State of Agentic AI report based on a survey of more than 1,000 developers and product leaders.
- 94% of survey respondents said they would consider switching vendors for stronger, scalable, and compliant agentic AI capabilities.
- 67% of respondents are already building or shipping agentic workflows.
- 85% of respondents believe AI agents will become table stakes within the next three years.
- ClickUp reported having over 3,258 agents working alongside 1,300 humans as an example of large-scale internal adoption.
Connected Companies & Entities
2 Entities mappedOntology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Agentic AI Security: Risk for Platform Engineers in 2026
A developer-posted analysis argues that enterprise adoption of agentic AI is accelerating faster than security controls, creating new risks for platform engineers. The article cites Geordie AI's $30M Series A as a funding signal and describes core risks—unpredictable execution paths, elevated lateral movement, and observability blind spots—while noting NIST and CISA guidance now references agentic risk. It recommends treating AI agents as first-class workloads with agent-specific SLIs, error budgets, behavioural canary testing, zero-trust workload identities, and agent incident runbooks. Practical suggestions include instrumenting agent reasoning traces with OpenTelemetry, rotating short‑lived tokens (Vault), using KEDA for autoscaling, and applying DORA metrics to agent pipelines to limit change-failure rates and MTTR.
AI Agents Shift Bottleneck to Organizational Design
The newsletter argues that agentic AI (autonomous/code-generating agents) has dramatically increased engineering velocity, shifting the primary bottleneck away from software teams to surrounding organizational functions such as security review, go‑to‑market (GTM) launch decisions, sales enablement, and customer communications. The author warns this acceleration creates customer confusion and security risk unless companies build matching organizational infrastructure: separate ship and launch calendars, short weekly live-demo syncs, AI-queryable customer portals, and cross-functional hires that are 'agent-native.' The piece also highlights technical guardrail needs (independent security review of agent-generated code) and emerging debates about the role of harnesses (execution orchestration) in agent performance and flexibility.
Newsletter: 2026 to Be Big for Agentic Automation
This newsletter argues enterprise software is undergoing a structural shift: AI-native systems are being rebuilt around decision-time context rather than incremental SaaS upgrades. The author highlights essays by Ivan Zhao, Aaron Levie, and Jaya Gupta to show consensus that context, decision traces, and living specs turn agents from demos into production systems. He proposes an "Execution Intelligence Layer" between intent and infrastructure that evaluates context, orchestrates actions, captures outcomes, and enables learning. The piece notes startups in agent orchestration have a structural advantage because they sit in the execution path and can persist queryable decision traces. It also flags major industry signals: Nvidia announced a $20B inference technology licensing agreement with Groq (after Groq’s recent large raise and valuation), and ongoing consolidation in observability, data infra and security (example: Palo Alto Networks’ acquisition of Chronosphere).
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.