AI is not going to replace my team. But it absolutely raised the bar for all of us.
I noticed it most sharply when I caught myself thinking about how I used to work. I used to lean on my team to bring me information that I would then use to make decisions. That was the rhythm. Someone would dig into a question, surface what they found, hand it to me, and I would call the shot. The bottleneck was access. Information moved up the chain to the person who had decision authority, and that person decided.
That rhythm is gone. Or it should be.
Now we all have access to the same information at the same time. Everyone on my team can pull a market analysis, summarize a competitor's quarterly disclosure, model the financial impact of a strategic option, and surface the patterns in customer feedback. They can do it in minutes. They can do it without me. They can do it without anyone gatekeeping the data on the way to them. The hierarchy of access that used to define how organizations made decisions has flattened in real time.
What I expect from my team now
That changes what I expect from my team in a fundamental way.
I expect them to ingest the information themselves. I expect them to make a decision based on what they ingested. And I expect them to execute on that decision. Three steps. The middle step is the one most people are trying to skip. It is also the one that matters most.
People are more valuable than ever
People are more valuable than ever right now, not less. That is the part nobody seems to want to lead with. Every conversation about AI in the workplace defaults to "AI is going to take your job." The data does not support that framing. The data supports the opposite. PwC's 2025 Global AI Jobs Barometer analyzed nearly a billion job ads from six continents and found that AI is making workers more valuable, not less. Industries most exposed to AI saw revenue per worker grow three times faster than industries less exposed. Wages in those same industries are rising twice as fast. And workers with AI skills are commanding a 56 percent wage premium over workers in the same role without those skills, up from 25 percent the year before.
That is not a story about humans getting replaced. That is a story about the bar getting raised and the people who clear it getting paid more for clearing it.
The bar moved because the inputs changed
The clearing of the bar is what I am asking my team to do. Not because the bar moved arbitrarily. Because the inputs to their job changed. The information they used to wait for is now sitting in front of them. The analysis they used to outsource to a more senior person is now something they can produce in minutes. The judgment they used to defer to me on is now a judgment they can develop themselves, in real time, with better data than I had at their stage of career.
So when I say AI raised the bar, I am not saying it as a complaint. I am saying it as the thing that makes the work better. The job description for almost every knowledge worker in my company has gotten more interesting in the last twelve months. People are doing more with their hours than they used to. The work is more concentrated. The decisions sit closer to the action. The execution is faster. Everyone is operating at a level that would have required a more senior title two years ago.
Ingest. Decide. Execute.
What I am asking is that they own the full arc. Ingest. Decide. Execute.
Ingest means actually engaging with the information. Reading it. Pushing on it. Asking what is missing. Not skimming the AI summary and shipping. The agents and analysts and operators winning right now are the ones who treat AI as a research partner that surfaces the inputs, then do the actual thinking on top of those inputs. That part is human and it is still hard.
Decide means making the call. Not waiting for me to make it. Not punting it to a meeting. Not building a deck that explains the options without choosing one. The point of the new operating model is that the person closest to the data should be the person closest to the call. If I have to override the call, fine, but I want the call made first. Decision-making is a muscle. It atrophies if it is not used. I want every person on my team using it, every day, on something real.
Execute means delivering the outcome the decision was supposed to produce. Not stopping at the decision. Not handing it back to someone else for implementation. The whole arc lives with the person who started the work. They ingest. They decide. They execute. They learn from what happened. They feed that learning into the next ingest.
That is the new shape of the role.
The real estate parallel
I see this play out in real estate every week. The agents who are leveraging AI to move through this arc are operating at a different level than they were a year ago. They are spending less time gathering information and more time making moves. They are spending less time waiting for someone else to validate a strategy and more time running the strategy. Their broker is not gating their access to data. Their compliance team is not the bottleneck on a transaction. The work is moving faster because more of it is sitting with the agent, and the agent is equipped to handle it.
The agents who have not made this shift are stuck in the old rhythm. They are still asking permission. They are still surfacing information up the chain and waiting for the call to come back down. They are still treating decision-making as someone else's job. The market is leaving them behind, and the gap is not going to close on its own.
The skills are changing faster than ever
The shift I am describing is not unique to my company or to real estate. PwC's barometer found that the skills required for AI-exposed jobs are changing 66 percent faster than for other jobs, more than 2.5 times faster than the year before. Translation. The job descriptions are being rewritten in real time. The people who adapt to the new shape of the role are getting more valuable every quarter. The people who do not adapt are watching their relative position erode every quarter, even when the calendar looks the same.
This is not bad news
This is not bad news for workers. It is the opposite of bad news. The era we are entering rewards judgment, ownership, and execution at a level that was historically reserved for senior leadership. Anyone willing to operate at that level gets to participate in the upside. The wage premium PwC documented is the visible evidence of that participation. Workers with AI skills are not winning at the expense of other workers. They are winning at the expense of an old operating model that was holding everyone back.
The old operating model is over
What I would tell anyone reading this who manages a team is that the old operating model is over. The model where information flowed up to a decision-maker who held it and then handed down a decision is finished. It was a workaround for an information access problem that no longer exists. Trying to preserve that model in a world where everyone has access to the same data is a recipe for slow decisions, frustrated teams, and a competitive position that erodes every quarter.
The leaders who are still gatekeeping decisions because they always gatekept decisions are not protecting the quality of those decisions. They are protecting their own role as it used to exist. The cost of that protection lands on the team and on the company. The team gets bored. The company gets slow. The leader becomes a bottleneck for work the team is fully equipped to handle on their own.
The new model
The new model is straightforward to describe and harder to implement. Every person on the team owns the full arc. Ingest. Decide. Execute. The leader's job shifts from being the bottleneck on decisions to being the person who sets the standards for how decisions get made and who holds the team accountable to those standards. The leader is still essential. The role is just different.
The opportunity for individual contributors
What I would tell anyone reading this who is a member of someone else's team is that this is the most opportunity-rich environment for individual contributors in a generation. The bar moved up. That is true. But the ceiling moved up faster. The amount of value a single person can create with the right tools and the right approach is unprecedented. The professionals who lean into that have a window right now to operate above their title, get visible, and earn their way into the next stage of their career.
People are more valuable than ever. Use the tools. Own the arc. Make the call. The team that does this together pulls ahead. The team that does not, falls behind.
Judd Hoffman is CEO and Co-Founder of Ethica AI, building AI-powered tools for real estate transaction workflows.