In this article, we are summarizing some big ideas from leading research and advisory firms.
| Focus Area | Gartner | McKinsey | PwC |
| Agentic AI Role | Early-stage autonomous AI agents with potential to automate 15%+ of routine decisions by 2028; many projects are experimental or hype-driven proofs of concept. | Autonomous agents that execute complex workflows, blending off-the-shelf and custom components for strategic value. | Agentic AI as autonomous, goal-driven multi-agent systems augmenting workforce productivity across sales, HR, procurement, IT, etc. Act as digital teammates, transforming workflows. |
| Project/Market Risk | >40% of agentic AI projects predicted to be canceled by 2027 due to cost, unclear ROI, and risk/control gaps. Warns of “agent washing.” | Emphasizes systemic risks — lack of observability, security, vendor lock-in; calls for robust architectures prioritizing control and scalability. | Highlights real risks like misinformation, biased outcomes, and trust gaps. Stresses need for human-led oversight, continuous monitoring, and robust governance frameworks. |
| Adoption & Investment | 19% of firms had heavily invested by early 2025; 42% conservative; many “wait and see.” Hype inflates premature investments. | Projected market growth from $2.6B (2024) to $24–48B by 2030, driven by cloud platforms and integration; success requires agile strategic deployment. | 88% of surveyed senior executives plan to increase AI budgets in the next 12 months; 79% already adopting with reported productivity gains, but note that true transformation is still emerging. |
| Governance & Control | Urges strategic, disciplined investment to avoid stalled projects; calls for transparent ROI alignment. | Recommends embedding compliance layers, redesigned workflows, and observability tools for safe scale. | Advocates role-specific governance, least-privilege access, continuous activity monitoring, and ethical safeguards to maintain trust and mitigate risk. |
| Long-Term Outlook | Optimistic that agentic AI will automate significant routine decisions by 2028 if risks are managed and projects mature. | Sees agentic AI as transformational but contingent on disciplined risk management and tech agility. | Forecasts agentic AI as foundational to enterprise infrastructure within 5 years, enabling smarter teams and continuous learning agents that collaborate seamlessly with humans. |
