Organizations across industries are racing to adopt artificial intelligence. Investment levels are high, experimentation is widespread, and executive attention is sustained. Yet despite this activity, the economic impact of AI remains uneven and, in many cases, disappointing.
The explanation is not primarily technical.
The prevailing assumption—that AI itself creates value—is flawed. Technology does not create value independently. People do. AI matters only to the extent that it improves human judgment, leadership effectiveness, and organizational execution.
Until enterprises confront this distinction directly, most AI initiatives will continue to underperform.
“Technology does not create value independently. People do.”
Current AI strategies tend to emphasize tools, models, and automation potential. Success is often measured by adoption rates, deployment speed, or the number of use cases launched.
These metrics are convenient—but they are largely irrelevantto value creation.
An organization does not become more effective because it hasmore algorithms. It becomes more effective when leaders make better decisions, teams coordinate more effectively, and learning cycles shorten. AI contributes only in so far as it strengthens those human systems.
When AI is treated as a substitute for judgment rather thanan amplifier of it, performance deteriorates—even if efficiency improves inisolated tasks.
Sustained value creation depends on three conditions:
These are leadership capabilities, not technical ones.
“When responsibilility becomes diffused—when decisions are ‘AI‑driven’ rather than leader‑owned—organizations lose coherence and resilience.”
AI systems can inform decisions, surface patterns, and accelerate feedback. But they cannot own outcomes. When responsibility becomes diffused—when decisions are “AI‑driven” rather than leader‑owned—organizations lose coherence and resilience.
This is why many AI deployments feel productive while delivering little strategic impact. They optimize fragments of work without strengthening the leadership system that governs the whole.
A more productive framing is to think not in terms ofartificial intelligence, but augmented intelligence: the disciplined useof AI to enhance human judgment inside real operating models.
This distinction is not semantic. It has structural implications.
Augmented intelligence requires that AI be embedded into governance, decision rights, and execution rhythms—not deployed as a parallel system. Leaders must remain explicitly accountable for outcomes, even as AI reshapes how information is generated and interpreted.
Without this integration, scale increases risk faster than it increases value.
Organizations that extract value from AI tend to share several characteristics:
These are not technological choices. They are operating‑model choices.
The central question, therefore, is not whether anorganization is “using AI,” but whether AI is measurably improving leadershipeffectiveness, team performance, and customer outcomes.
If it is not, the initiative should be reconsidered—regardless of how advanced the technology appears.
AI will not determine which organizations create durable value over the next decade. Leadership will.
The firms that succeed will be those that use AI to thinkbetter, decide more clearly, and execute more coherently—while preserving human accountability at the core of the enterprise.
The goal is not smarter machines. It is better outcomes, produced by better judgment, at scale.
Of all the areas in business where AI can and will be disrupted, Human Resources stands at the top. Artificial intelligence is racing to reach artificial general intelligence, and HR seems poised for a long overdue transformation. You would like to hope, perhaps in a very human way, that your business is ready. It is not.
The current state of HR is that HR is lost and already far from human. Empathy and care have been replaced by policy and process. Sure, we have figured out healthcare and benefits, but when was the last time you felttreated like a human being by someone working in HR? Can you even remember? If you do, you clearly remember the person, time, and situation because it was so noteworthy as to make a lasting impression on you.
Let’s face it, we can all name great leaders throughout our career from finance, operations, IT, marketing, - the entire C-suite of people who became great leaders by transcending from being just great specialists in their respective fields to elevating leadership over policy and process. The best CFO is not the CPA, comptroller, AP/AR lead, or Treasurer – they are the best leader who has the financial acumen and leadership skills to lead great teams to achieve more. To reach the C-Suite, it is about leadership. What got you to where you are will not get you through the door of the C-Suite. In my extensive career, I can name only one chief of HR (or whatever colorful and often incomprehensible title exists in company’s today) that was a leader and could lead any organization other than HR. Expert generalists lead companies, experts rarely do or should.
So, here comes AI as the great disrupter. People are worried about their jobs, what AI means for them, what AI means for their organization, and they turn to HR people that we have entrusted our companies to but who are largely uninspiring and often just punching out policies and processes. How many times have you been told to “go to our portal” or “call this number” when concerned about something? Today, going to HR is the last thing people often do, and your workers get more value from front line managers who are woefully unprepared for solving people’s problems, ironically, because HR eliminated the very expert training that they need to be helpful. Human-in-the-loop may be a sound strategy for AI, but we left “human” behind a while ago in HR and we need to get that figured out or AI should take over our business- starting with HR.
Does all this sound harsh? Let me explain how AI can take over the role that HR organizations play today.
AI, with its ability to draw upon an almost limitless information network, coupled through retrieval augmented generation to our internal practices and policies, would surely do an admirable job of keeping processes and policies up to date, aligned with state, Federal, local, and internal changes that happen with great frequency. Generative AI will be able to answer our questions faster, more accurately- even with the occasional hallucinations, than an outdated IVR or a third-party offshore person reading from a script. Yeah, we noticed. Further, Agent based, and Agentic AI can automate and replace much of what we do today in all areas of HR, including training and recruitment. Who needs recruiter-in-the-loop if we can build an algorithm that will predict who the right candidate is and how they will perform after they are hired? We can use AI to sift through the vast pool of AI created resumes and sniff out the right people without any human intervention. Why burden leaders with the accountability for their people’s wellbeing and career progression when we can predict their success through a model, recommend the training and education they need, facilitate the instruction, and evaluate the outcome? Perhaps, with AI, we can remove leadership accountability entirely; you would be surprised that some well-known cloud service companies are further down that path than you realize. We can even set up AI to run a continuous spans-and-layers calculation to cull the headcount whenever we need to pump up the EPS when faced with chaotic market conditions where headcount reduction strategies provide a simple solution. AI can even help ensure what we are doing meets the governing guidelines with recommendations on how to stay within the law. For many companies, AI powered HR is a dream come true.
So, problem solved. Introduce AI, target HR and count the millions saved in HR, training, recruiting and everything HR does today. If you are a CEO or board member, or an activist investor, this is your moment to act. Get your CFO to collect all the direct and indirect costs of managing and maintaining your workforce under your current HR organization, direct your CIO to establish a play-book to get an AI system in place that accounts for the activities, processes and data necessary to systematically introduce generative, agent-based and Agentic AI throughout your HR organization and work with your COO and BU presidents to introduce the new systems, replacing the existing HR organization with AI technology. Of course, you should set up objective measures gathered from AI/ML to track employee sentiment, policy compliance, recruitment, retention, and training progress. Track, observe and adjust, as necessary.
Does this sound too Machiavellian? If you are an HR professional, this may sting a bit. However, this is not a fantasy, this is not even far-fetched, and AI will perform on every HR metric just as good as what mostusers are currently experiencing today. AI will take human error out of the equation. And as for empathy and other human qualities, you will not lose what you do not have.
However, if you still believe that there is a place for AI and human resources to coexist in the world today and in the future, read on. Allowme to present a scenario where the light at the end of the tunnel isn’t anoncoming train. What if we transform HR with AI?
First, change starts at the top. Re-evaluate your Chief of HR or whatever that C-Suite title is at your company. Are they your best leader? Could they step in and run a business unit, finance, or any other role in the C-Suite? Could they become your next CEO? That is the bar the head of HR must meet. The person running a modern HR organization needs to be an expert generalist – someone with a specific expertise but also broad, tangible expertise in business, finance, operations, and IT. You do not need an HR expert,and you need a leader. If you find that you do not have one, get one.
Second, do all those CFO and CIO things I mentioned earlier. Know where the HR organization stands today – at this precise moment, don’t settle for historical data, get data on the current state. Identify what HR costs, understand the transactional costs of HR, understand the state of the data, where it is, the fidelity of it and map out all the HR value streams and make sure the points of intersection with the business have enough friction to make them nimble. If you do not know the difference between good and bad friction, ask someone who does.
Next, when the CIO sits down with your head of HR, they should be looking at the current state for all the value streams, they should know the costs associated with the processes and they should be prepared to clean upthe data (structured and unstructured) necessary for a system that can support a realreal-time RAG environment with minimal hallucinations. All events inlife and business happen in real-time, stop steering your company using therear-view mirror. Technology exists today, adopt it. The data here is important: get it clean, then create AI/ML to maintain it with up-to-the-minute information fidelity, including regulations, policies, programs, and organizationstructures. When anything changes, make changes everywhere and purge the old, implement the new, including communication and training. Technology can do this, leverage it. To be effective, the HR system must become a sole source oftruth, and it must be accurate. The head of HR and the CIO must work together,with the head of HR being the customer and the CIO the supplier in the relationship. A great HR leader will be able to speak the language of HR/IT from the vantage point of value streams and outcomes.
Then, evaluate the HR organization in its "future state" with AI in all its forms creating a culture of AUGMENTED INTELLIGENCE with HITL at the center and the systems dealing 100% with policy and process and the HR people focused on making the people in your company the best version of themselves. This will free up the resources, including time and money to re-start leadership training programs, re-start mentoring programs and enable you to measure the effectiveness of your teams based on leadership, not management. Train leaders to be accountable. Teach them that they own hiring and recruiting and they are 100% accountable for the people they hire. Go further: be innovative. For example, leverage AI to create learning maps for every individual that produces expert generalists in all areas of the business. To accelerate change and adoption, promote employees based on how effective they are at more than their core specialty and people will get on board with the concept. People follow the money. Then, hold your new HR expert generalists to standards where being "human", empathic and focused on helping others become the best version of themselves is their only priority. In your new HR organization, your best HR expert generalists will show outstanding ability to help others overcome obstacles to become that best version of themselves.
Not everyone in HR today will want to make the transition. We have decades where policy, practice and procedures were the criteria for success and the job description for HR generalists. In a transformation, change the people or change the people. To win, you must have a future ready workforce, and HR must be the up to the challenge so that the company can adopt AI and everything that comes after AI, without hesitation.
In your new target state, success for HR is that your HR organization becomes the centerpiece of AI adoption, capable of leading change for your company. In turn, your business units reap the benefit of being supportedwith high-fidelity information, automated streamlined and efficient processes,and empowered by an HR organization with the capacity to create the leaders of the future that can succeed today when confronted by high-speed change anddisruption.
There you have it. Working smart is working hard, so get working. Time is not on your side. If you do not disrupt and transform HR, AI will do it for you. You can get success by either seeing AI as disruptor or AI as a transformation agent. It is a simple decision. Either consider AI as a means to reduce headcount and reduce run-rate costs or consider AI as the solution to your company’s biggest challenges. Be everyone else or be Larry Ellison.
For what it is worth, I hope that your future will contain HR leaders who can become your next CEO. I hope that your HR organization will become the leading force for you to create a culture that is fearless in the face of change, embracing AI and whatever technology disruption is next and capable of creating your next generation of leaders that will drive your company forward for years to come. Finally, I hope that your future will have at its core a human resource organization that is once again human.