Source: Fortune
Summary
Companies are deploying AI more widely but face challenges in translating productivity gains into business transformation. McKinsey reports 62% of organizations experiment with AI agents, yet only 39% see earnings impact. Gartner predicts over 40% of agentic AI projects will be canceled by 2027. The issue, experts say, is that workflows still rely on people to connect systems, creating inefficiencies. As agents evolve, SaaS platforms must shift from interfaces to data-driven systems. Gartner forecasts 33% of enterprise software will include agentic AI by 2028. Redesigning workflows is key to realizing AI’s full potential.
Our Reading
The numbers tell one story.
AI pilots are expanding, but few deliver earnings impact.
Gartner warns of high cancellation rates for agentic AI projects.
People still act as the bridge between systems.
The real transformation starts with workflow redesign.
Author: Evan Null
AI’s Productivity Promise and the Limits of Automation
AI has the potential to dramatically increase productivity by automating tasks that once took days or weeks. However, the transition from pilot projects to full-scale implementation is proving more complex than expected. Despite the excitement around AI agents, many companies are struggling to integrate these tools into existing workflows. The result is a gap between what AI can do and what it actually achieves in practice.
The Role of Human Workers in an AI-Driven World
Even as AI takes on more tasks, human workers remain essential. They act as the “middleware” between different systems, ensuring that data flows smoothly and that processes are completed accurately. This role is not disappearing, but it is evolving. Instead of manually moving data between applications, workers are shifting toward more strategic tasks that require human judgment and decision-making.
The Future of SaaS in an Agent-Driven Era
SaaS platforms are no longer just about user interfaces. As AI agents become more capable, these platforms must provide the underlying data, governance, and logic that agents need to operate effectively. This shift means that SaaS companies will need to rethink their value proposition. The future of SaaS may not be about the tools themselves, but about the data and systems that support AI-driven workflows.
The Productivity J-Curve and Organizational Readiness
Transformative technologies like AI don’t deliver immediate results. The productivity J-curve shows that gains come only after organizations align around a common vision and restructure their workflows. Many companies are still in the early stages of this process, with only a small percentage of employees seeing leadership support for AI initiatives. Without this alignment, the full potential of AI remains out of reach.
Redesigning Work for the Agent Era
To fully leverage AI, companies must redesign their workflows around the new capabilities that agents bring. This means identifying processes that span multiple applications and simplifying them. It also means empowering employees to focus on tasks that only humans can perform, such as making complex decisions and building relationships. As AI becomes more integrated into daily work, the role of the human worker will continue to evolve, but it will remain central to business success.
