Is 2025 the Year of Agent Washing?
Michael Carroll
Global Executive in Industrial Innovation & AI Research | Industrial Transformation Leader | Board Advisor | Keynote Speaker & Columnist | Chairman, CEO, COO, CFO, CIO | Co-Founder & Startup Advisor| Hi-Performing Teams
If 2023 was the Year of Generative AI and 2024 the Year of Agents, has the promise of Agents already become diluted by hype?
In a discussion yesterday with Rajib Saha , he challenged me, as he often does in our conversations, to think more deeply about the landscape we are pioneering. So, I suggested we bring it to the community for more feedback. He agreed!
In 2023, Generative AI ignited imaginations worldwide, reshaping industries and sparking a wave of innovation. By 2024, as heralded in the 28th Annual ARC Industry Leadership Forum keynote, the baton was passed to Agents—autonomous, decision-making AI systems poised to redefine human-machine collaboration. Yet, as 2025 unfolds, the term "Agent" is everywhere, and everyone seems to claim they have one. From enterprise software vendors to personal productivity tools, the market is saturated with offerings, each branded as the next revolutionary agent.
But is 2025 truly the Year of Agents, or have we stumbled into the murky waters of “Agent Washing”?
Much like "greenwashing" in sustainability, Agent Washing risks obscuring real progress by slapping a shiny label on tools that fail to deliver the transformative promise of true Agentic AI. To navigate this pivotal moment, it’s critical to cut through the hype and clarify what an agent truly is—and what it is not.
What Is an Agent, Really?
An agent is not just software that retrieves information or automates simple tasks. It is much more profound. Should a true agent not emulate human agency—the ability to reason, learn, and act autonomously with purpose?
Consider how humans exercise agency every day. Each of us navigates life with a worldview, a constantly evolving understanding of why and how things happen. We evaluate options, make decisions, and take actions that align with our goals. When things don’t work out as planned, we adjust, iterate, and improve. This iterative process—thinking, acting, learning, and optimizing—is what defines agency.
True agents replicate this cycle on our behalf, orchestrating decisions and actions that align with our goals, preferences, and values. They aren’t just tools; they are digital partners capable of delivering outcomes that traditional systems cannot achieve across the complexity of our lives today both at work and at home.
The Foundation of True Agentic AI
For an AI to qualify as a true agent, it must meet Arthur Kordon 's Axioms:
Without these capabilities, a so-called “agent” is just a glorified assistant—a helper that facilitates tasks but lacks the autonomy, reasoning, and adaptability required to deliver transformative value.
The Human Context of Agency
To understand agency in the digital realm, it helps to first examine what enables human agency. For people to act effectively and achieve their goals, they need an environment that provides:
These elements create fertile ground for human agency. But what does this look like for digital agents?
The Digital Agent’s Environment
For Agentic AI to thrive, its software must operate within an enabling environment:
领英推荐
So a Vendor Says to You That They Have an Agent! Ask These Questions
With Agent Washing on the rise, it’s critical to separate genuine agents from imposters. When a vendor claims their product is an agent, ask these questions:
The Risks of Agent Washing
As organizations rush to capitalize on the agent wave, many are mislabeling simple automation tools or enhanced interfaces as agents. This phenomenon creates confusion, dilutes trust, and risks derailing the adoption of true Agentic AI.
For consumers and businesses alike, it’s critical to hold vendors accountable. Without clear standards, the potential of Agentic AI could be buried beneath a flood of hollow promises.
The Stakes of Getting It Right
If Agentic AI fulfills its potential, the benefits will be transformative:
But the path forward requires vigilance, discipline, and a shared commitment to building agents that genuinely augment human agency.
From Six Degrees to One: A New Paradigm of Connection
Agentic AI collapses the traditional degrees of separation, creating a world where people, ideas, and resources are seamlessly connected. In this one-degree world:
This isn’t just a faster network; it’s a smarter, more adaptive one.
A Renaissance in Human Potential
By alleviating cognitive burdens, Agentic AI creates space for individuals to pursue what truly matters:
The Choice Before Us
As we navigate 2025, we must ask ourselves: Are we building agents that empower, learn, and reason—or settling for tools that merely masquerade as such because someone claims it?
The answer will define not just the future of technology but the future of humanity. Let’s demand more. Let’s ensure that agents fulfill their promise as partners in creating a better, more connected world.
The Year of Agents—or the Year of Agent Washing—rests on this choice. Let’s make it wisely.
Organization Development (OD) Facilitator | Let's Accelerate Up-skilling & Re-skilling!
1 个月Very good article! I would argue that in order to make paces towards this true form of agency that you describe, a deep understanding of the “human context of agency” must be studied and understood. This is one of the reasons I left work as an integrator and began the work of human studies. You simply can’t achieve it without understanding the human dynamics.
Chief Information Officer | Executive | Thought Leader | Advisor | AI | Digital Transformation | Innovation | Information Technology | Strategy | Governance | Data | Planning | Operations | Computer Sc. | Communications
1 个月Great article, as always, Michael Carroll
Head of Strategy & Business Transformation | Thought Leader | Speaker ? I guide companies through complex challenges in emerging and disrupted industrial and energy markets by defining strategy and business innovation.
1 个月As we begin to democratize the use of AI, the mediums that deliver it, like agents or gen ai, will be hyped as end-state solutions rather than the various tools that should - or shouldn’t- be applied to a particular problem statement. I saw this over and over again when people wanted to claim their solutions were machine learning when asset failure prediction was all the rage. Same as it ever was. Thanks for delivering clarity on what agents are and where they can - and can’t - help solve various problem statements. After all, if all one has is a hammer, then everything is an agent…or something like that. ??
Digital Transformation and Industrial Automation Strategist, Analyst, & Consultant
1 个月I'm surprised you think a vendor would oversell it's products to match what is trending in the market. ?? BTW, I'm borrowing some of this for next month. Figured you wouldn't mind, since you're going to be on my Agentic AI panel at the ARC Forum.
Director of Innovation @ Georgia-Pacific LLC (Retired) | Founder: Advanced Innovation Management | Strategic Planning Expert | Keynote Speaker | Business & Technical Solutions Advisor
1 个月This is the best defining text of what an agent should be that I have seen. Well done!