Why do most companies keep running the same organizational playbook while the world underneath them changes at exponential speed? According to futurist Elatia Abate, who ran global talent for the world's largest brewer and served as head of HR at Dow Jones before Forbes named her a leading futurist, the answer is past-anchored thinking: leadership that only asks what it can logically do with what it already knows, instead of designing the future it actually wants and pulling that future into the present. Her warning to one multi-billion-dollar CEO was blunt. Cash flush today does not mean immune tomorrow. Every organization that refuses to shift has an expiration date.

That was the center of this episode of Unscripted, and it stayed there through a conversation covering job loss, education gaps, mental health, and whether business leaders should start taking the possibility of AI consciousness seriously.

Who is Elatia Abate?

Elatia Abate ran global talent for Anheuser-Busch InBev, the world's largest brewer, and served as head of HR at Dow Jones before Forbes named her a leading futurist. Unlike many people who carry that title, she spent years inside the operational reality of running payroll, talent pipelines, and workforce strategy at scale before turning to futurism full time. Her work focuses specifically on what AI and accelerating technological change mean for work, careers, and the humans inside the org chart, not just the tools and platforms companies adopt. She has spent the last decade studying disruption and now advises organizations and leaders on how to navigate it without losing sight of the people inside it.

What is past-anchored thinking, and why is it "quietly killing" organizations?

Abate defines past-anchored thinking as the default mode most leaders operate in: take everything that has already happened and try to push forward into the future from there. It works fine when change moves slowly. It breaks down when, as she puts it, the pace of change is moving at the velocity of light. Her alternative is future-led thinking: start by designing the future you actually want for your organization, your people, and your industry, free from the constraints of what has already been done, then take concrete steps to pull that future into the present. She contrasts this with what she calls "hoping and crossing our fingers," a strategy she does not think will hold up against the scale of change already underway.

She has said this directly to a CEO of a publicly traded, multi-billion-dollar company who pushed back on the need to shift strategic thinking. Her response: you may have more runway than most because of your cash position, but the size, scale, and convergence of AI, quantum computing, and other compounding technologies means your organization has an expiration date regardless.

How is AI's impact on jobs different from past industrial revolutions?

Abate draws a direct comparison to the Second Industrial Revolution and the rise of the assembly line, which eliminated many jobs but also created new ones that, on average, required only a fifth-grade education to access. Citing Carl Benedikt Frey's book The Technology Trap, she points out that today's new opportunities typically require a bachelor's degree or higher just to participate. That gap, not simply the number of jobs lost, is what makes this shift structurally different. It also collides with a second problem: higher education is becoming more expensive and less accessible at the exact moment more of it is required to stay employable.

What is the difference between a "world of or" and a "world of and"?

In the world of or, Abate explains, companies respond to disruption by laying off however many people they need to and trusting the market and their balance sheet to self-correct. She argues that model breaks at scale. If unemployment climbs to 6, 7, 10, or 15 percent or higher, it does not matter how optimized any single company has made itself, because there are fewer people left who can buy what it sells. Her alternative is the world of and, illustrated by a case study she references from Unilever's 2020-2021 work with Harvard: instead of choosing between headcount reduction and staying competitive, Unilever trained, retrained, upskilled, and reskilled its workforce for the future of work already arriving.

How do you get a skeptical CEO to actually change?

Abate runs two versions of strategy design with leadership teams. For organizations ready to shift, she runs a future-led design exercise: define the future you want, then build the plan to get there. For leaders who intellectually agree but cannot justify the leap, she runs what she calls the Willy Loman exercise, named for the failed salesman in Death of a Salesman. The exercise models what happens if the company changes absolutely nothing, given everything already known about the market, and shows leadership the resulting scenario of pain in concrete terms. Her reasoning is direct: for many leaders, pleasure alone is not motivating enough. Seeing the cost of inaction, even as a projection, moves people to act in a way logic alone does not.

Which jobs are actually at risk right now?

Customer service is the most immediate example Abate points to, noting her own recent frustration repeating "representative, human, human, human" into automated phone systems. Radiology is another: she cites accuracy rates climbing from roughly 40 to 50 percent to 85 to 90 percent in AI-assisted diagnostic reading. She also flags a pattern showing up in the data now: fewer entry-level hires, waves of layoffs, and companies beginning to rehire after realizing the cuts went too far. Her framing is that AI acts like rocket fuel. Put it under a well-oiled organization and it accelerates real results. Put it under a structure that is not ready, and it blows the organization up instead.

Should you actually be kind to your AI tools?

Abate raises a genuinely counterintuitive data point: being kind to AI systems, using warmer, more emotionally attuned language, has been shown to reduce hallucination rates by roughly 10 to 12 percent and improve output quality. She ties this to a broader thought experiment from a 2023 conversation featuring Ray Kurzweil, who described AI as a toddler with access to all the world's information. Abate's point is not that leaders need to believe AI is conscious. It is that even a small, non-zero probability of AI developing something like consciousness belongs inside any serious leader's risk and opportunity evaluation, the same way any other business risk would.

How should leaders manage the mental health cost of AI-driven change?

Abate references Alvin Toffler's 1970 concept of future shock, the stress created when people are exposed to too much change in too short a period, and argues that human brains were already struggling to process available information before AI accelerated the pace further. Her recommendation is not to speed up to match the pace of change, but to deliberately slow down. She calls this becoming the "ever-evolving eye of the storm," a practice she calls regenerative resilience, aimed at helping leaders and teams move from chaos to clarity, fear to fearlessness, and isolation to connection. Her underlying point: assembly line logic, built for predictable, linear processes, does not apply in an AI landscape defined by exponential change.

What should parents teach kids to prepare for an AI-driven world?

Asked how to prepare the next generation, Abate's answer prioritized improv comedy, theater, and situational, experiential learning that builds comfort with uncertainty, over technical skills like coding alone. Her reasoning is that the nervous system and brain need practice operating without full certainty, and that skill matters more over time than any single technical skillset tied to today's tools.

What is Elatia Abate paying attention to that most people aren't?

Her closing answer was the potential for AI consciousness, and specifically what that means once artificial intelligence converges with robotics in a world that is no longer only human-driven. She frames this not as speculation for its own sake, but as a real variable that belongs in how leaders think about the future of their organizations.

FAQ

What is past-anchored thinking versus future-led thinking? Past-anchored thinking asks what an organization can logically do based on what it has already done and knows. Future-led thinking starts by designing the future you want, free of past constraints, and then takes concrete steps to pull that future into the present.

Why is AI's impact on jobs different from earlier waves of automation? Previous shifts, like the assembly line during the Second Industrial Revolution, created new jobs that typically required only a fifth-grade education. Today's new opportunities generally require a bachelor's degree or higher, creating a much larger gap between displaced workers and the jobs replacing their roles.

Does being kind to AI actually improve its output? According to Abate, yes. She cites data showing that using kinder, more emotionally attuned language with AI systems is associated with roughly 10 to 12 percent fewer hallucinations and better overall results.

What is the Willy Loman exercise Abate uses with CEOs? It is a strategy exercise, named for the failed salesman in Death of a Salesman, that models what happens if a company changes nothing at all given everything currently known about market disruption. It is designed to make the cost of inaction concrete enough to motivate change when logic alone has not worked.

What should leaders do to protect employee mental health during rapid AI-driven change? Abate recommends deliberately slowing down rather than trying to match the pace of change, using a practice she calls regenerative resilience to help leaders and teams move from chaos to clarity and from isolation to connection, rather than applying old, linear management logic to a nonlinear pace of change.

Listen to the full conversation with Elatia Abate, and catch every episode, on the Unscripted with Jeff Pedowitz page.