By Lili Kazemi | Founder, The Human Edge of AI
“AI is going to take our jobs.”
That line is back. This time it arrived in a piece called Something Big Is Happening In AI by Matt Shumer, where he wrote that he is “no longer needed for the actual technical work” of his job.
It traveled fast. Tens of millions of views on X. Friends in consulting calling to ask what I think.
I read it. I read what followed. Nothing has changed my mind about what AI actually does to human value.
Shumer’s piece is worth reading. He is not wrong that execution is compressing. But what he describes as loss is exactly the condition under which human value rises to the surface. When the bottleneck clears, what remains is judgment, vision, and direction. Velocity follows direction. Direction belongs to us.
The question is not whether AI can do the work. It is whether we rise to do better work alongside it. That is not just a job. That is agency. We cannot control what the market does with our jobs. But no one takes agency. We give it away.
The fear is that AI takes your job. The reality is that it reveals your value.
Let’s Redefine AI
AI does mean Artificial Intelligence in a technical sense. But most people treat it like a tool. The ones pulling ahead treat it like an instrument worth mastering.
AI is acceleration.
Accelerated intelligence. Research, synthesis, and first drafts that once took days now take minutes.
Accelerated inspiration. Ideas that once expired now take form before they fade.
Above all, AI is accelerated intent. It closes the distance between vision and execution. It turns direction into velocity.
AI does not decide what matters. It accelerates what already does.
The Technical Layer Was the Bottleneck
The technical work of most professions has always meant execution. Drafting, formatting, coding, slide production, research compilation. That work matters. But it was never where the value lived. Value lived in vision, experience, creativity, and leadership. Those things were harder to find then. They are harder to automate now.
When Shumer says he describes what he wants and it appears, the key phrase is “I describe what I want.” Knowing what should exist was always the real job. Execution was the bottleneck.
Acceleration moves value up the stack. It does not create it.
Ideas Used to Die
Every professional has an idea graveyard. The thoughts that never became proposals. The strategies that expired before they were written down. Drafts that waited for time that never came. Projects stalled by inertia.
Ideas have expiration dates. If they are not developed in the moment, they are replaced by the next one. That loop clogs creativity. Friction curtails productivity.
Now that friction is shrinking.
Creativity requires surplus energy. When routine work drains that energy, you operate in deficit. In deficit, you manage. In overflow, you build.
Confession: I barely touch a keyboard. I take pictures of ideas on index cards, and AI moves them into motion. Ten-hour days collapse into four. Five-day timelines compress into focus. I no longer chase the clock. I deploy it.
An accelerant needs two things to work: a spark and oxygen. I provide the spark. AI clears the space for oxygen to flow. What once turned to ashes now has room to ignite.
The Mad Men Moment AI Cannot Recreate
Mad Men is streaming again on HBO, and the more I rewatch it, the more I think about the Season 7 storyline when the agency installs a massive IBM computer in the office. It takes up an entire room. It rearranges the floor plan. It intimidates people.
Harry Crane saw an opportunity in it. Others quietly worried about what it meant for their roles.
At one point, Crane says, “Computers don’t think. People do.”
He was right. The machine could process data. It could calculate. It could organize. But thinking, the kind shaped by memory, hesitation, consequence, and timing, is still human. It always will be.
And no machine could have done what Don Draper did in that final episode. Sitting at the edge of himself, he reached for something human and pulled out a masterpiece. AI did not write “I’d Like to Buy the World a Coke.” A person did. In the show and in real life.
Could AI have come up with that commercial today? Maybe the final script. Maybe the visuals. But never the lightning strike. The kind that makes your eyes fly open at 3am. That still belongs to us.
How AI Accelerates Different Professions
Lawyers. AI drafts memos and reviews discovery at scale. It does not decide which argument advances strategy.
Artists. Tools generate compositions instantly. They do not choose the story worth telling.
Marketers. AI produces campaigns in minutes. But the genius is the lightning strike. It is “Just Do It.” It is Coca-Cola’s “Share a Coke.” It is the cultural imprint that lasts. AI can generate endless options, but it cannot create resonance. Execution is abundant. Originality is scarce.
Tech. AI writes code and runs tests fast. It does not choose the product, the priorities, or the tradeoffs.
Consultants. AI can generate research and build decks quickly. That is output. The value of consulting is diagnosing ambiguity, reframing the problem, and guiding leadership when the stakes are high. If AI automates the mechanics, firms can operate at greater scale and expand their surface area without exhausting senior talent. AI increases scale. It does not replace the room where the real decisions get made.
AI Is Not a Vending Machine. It Is an Instrument.
Much of the fear around AI comes from how we have been taught to think about it. Either it is something to fear and restrict, or it is a button you press to get an answer. Both framings miss the point entirely.
AI is not a vending machine. It is an instrument. If you use it well, you train it, refine it, and shape it to understand your voice and your standards. But you are still steering. Direction remains human.
AI accelerates intelligence, intuition, and inspiration. It does not replace lived experience. It can help you structure ideas, but it cannot feel the weight of being wrong.
College students and entry-level professionals are entering a world where AI will always be present. It can be a powerful partner, but like textbooks before it, it cannot be the primary teacher.
Judgment develops when we are accountable for outcomes and when we watch someone make a difficult call in the field. It forms under pressure and through consequence. That cannot be prompted into existence.
Experience and intuition remain human.
And institutions still carry the responsibility to cultivate them.
AI Is Actual Imagination
“Wisdom begins in wonder.” — In the Socratic tradition
AI is actual imagination in motion.
The Socratic method advances knowledge through disciplined question and answer. Its purpose is not speed but examination. Through dialogue, assumptions are tested and understanding deepens. AI follows that same structure: prompt and response, inquiry and refinement.
A persistent misconception is that AI must deliver objective truth. It does not. AI produces inference. It reflects patterns, probabilities, and the clarity of the question being asked. In a world of scaled inference, human judgment increases in value. Trust becomes the currency. AI can function inside those constraints, but it cannot self-generate them.
The Question AI Cannot Answer
AI will not replace your job. It will reveal where your value actually lives.
When execution becomes effortless, what remains is judgment, taste, courage, discernment, and direction. Those things cannot be automated because they are not tasks. They are human commitments.
The real question is not what AI can produce. It is what you bring to it. No model can determine your worth. No prompt can calculate your value.
That answer has always belonged to us.
The Edge of AI Is Human
AI is not the spark. The spark is human. AI is the accelerant. An accelerant does not define the source. It strengthens it.
What Shumer described, and what millions of people recognized in that description, is the vertigo of watching a tool become fluent in your craft. That feeling is real. But fluency is not judgment. Speed is not direction. Output is not accountability.
AI accelerates talent. It accelerates ideas. It accelerates momentum. But it does not originate them. The lightning strike was always ours. AI has agents. Agency remains human.
Agency is the ability to decide what should exist, to shape the process, and to bear responsibility for what comes out the other side. No model does that. No prompt engineers it into existence. It belongs to the people who answer for the result.
That is still us.
The human edge of AI remains ours to hold.
(All images featured in this blog were created and edited by Lili Kazemi using ChatGPT, Gemini, and Midjourney.)
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Lili Kazemi is General Counsel and AI Policy Leader at Anant Corporation, where she advises on the intersection of global law, tax, and emerging technology. She brings over 20 years of combined experience from leading roles in Big Law and Big Four firms, with a deep background in international tax, regulatory strategy, and cross-border legal frameworks. Lili is also the founder of DAOFitLife, a wellness and performance platform for high-achieving professionals navigating demanding careers.
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