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White-Collar Workers: You Have ~18 Months. What Now?

Written by Andrew Bloo on . Posted in HITSLeadership Business Leadership.

A co-authored piece on building survivable companies in the age of AI
By Andrew Bloo (Leadership Perspective) & Reanette Etzler (HR Perspective)

Building Survivable Companies in the Age of AI

Let’s be honest: This isn’t an easy topic for Reanette or me. It’s one that most leadership teams have politely skirted—surfacing in hallway jokes, half-serious Slack threads, and late-night “did you see this?” texts—but rarely making it into board decks, operating plans, or workforce models.

Remember how we used to say, “Just Google it”? That era reshaped how we access information. Now, the new refrain is emerging: “AI it.” And that shift is reshaping everything else.

The window for avoidance is slamming shut. It’s February 2026—yes, now, not 2030.

Mustafa Suleyman, CEO of Microsoft AI, put it bluntly in a recent Financial Times interview: Most tasks involving “sitting down at a computer”—from law and accounting to marketing and project management—are likely to be fully automated within the next 12–18 months.

Dario Amodei of Anthropic has been sounding the alarm since mid-2025, warning that AI could wipe out half of entry-level white-collar jobs and drive unemployment into the 10–20% range within 1–5 years.

The data backs this up. Challenger, Gray & Christmas reported roughly 55,000 AI-attributed job cuts in 2025 alone. Meanwhile, Stanford University and ADP analyses show that early-career employment (ages 22–25) in highly AI-exposed roles has dropped 13% relative to baseline since late 2022.

This is no longer a theoretical “someday” conversation—it’s here, demanding action.

It is an FY26 / FY27 planning conversation.

We are writing this together because the next 24 months will demand unusual levels of honesty from both the executive table and the HR function. Leaders will have to rethink how growth actually happens. HR will have to help people navigate transitions that are real, visible, and personal.

Employees are not disposable. 

AI is not deniable.

But many traditional roles are becoming economically unsustainable.

That distinction matters.

Leadership Perspective

The Hard Economics (and the Strategic Imperative)

Here is the central tension:

Employee overhead continues to rise — while AI capability compounds and its marginal cost falls.

According to PwC’s 2025 AI Jobs Barometer, wages in the most AI-exposed industries are rising twice as fast as in less-exposed ones. Benefits, compliance, training, and turnover costs are climbing. Replacing a mid-level professional routinely costs 1.5–2× salary when you factor in ramp time and productivity drag.

At the same time, AI agents capable of multi-step reasoning, document synthesis, analysis, and execution are being priced and scaled in ways that make them dramatically cheaper per unit of output at scale.

McKinsey & Company estimates today’s technology could theoretically automate 57% of current U.S. work hours. Goldman Sachs puts displacement risk at 6–7% of the workforce if adoption is broad. The World Economic Forum projects a net positive globally by 2030 — 92 million jobs displaced, 170 million created — but the distribution curve is not symmetrical. Losses hit first in office-based cognitive work. Gains come later and require different skills.

The growth model of the past 30 years — hire more people to drive more revenue — is breaking.

Over the next 24 months (some are saying less… much less), survivable companies will grow output faster than headcount.

That means:

  • Treating AI as the default coworker, not a tactical cost-reduction lever.
  • Redesigning processes around human + agent teams from day one.
  • Accepting that some departments may contract 20–40% while others expand (AI orchestration, complex client advisory, physical-world execution, creative synthesis).
  • Using productivity gains to fund reskilling, elevate remaining talent, and pursue new growth vectors — not merely widen margins.

Here is the uncomfortable part:

If your 2027 revenue model still assumes 2024 headcount ratios, you are planning for obsolescence.

The survivable company will not necessarily be smaller.
But it will be structurally different.

And far more productive.

HR Perspective

HR Must Turn AI into Maximum ROI – Today

Andrew’s leadership analysis is really spot on.  

Now and not tomorrow.  There is no waiting for HR to get on the bandwagon.  If they are waiting, they might as well stay home and wait there, because they will not have a business or a job. 

In a SHRM 2025 report, 67% HR professionals stated that their organization has not been proactive in upskilling work alongside AI, only a 4% decrease from 2024.

What? In the mass upheaval of AI from 2024 to 2025 the needle only moved 4%.  Frightening.

As HR professionals, it’s crucial to recognize that the rapid advancement of automation and generative AI is reshaping the workplace.

Many roles are already highly automated, and a growing number of jobs are incorporating generative AI tools.

This transformation is inevitable, and employees must prepare to adapt to these changes to remain competitive.

As the SHRM 2025 Automation/AI Survey highlights, ‘many workers can expect their roles to be transformed as technological advances reshape the world of work.'”

Organizations are increasingly optimistic about the potential of AI to transform industries, improve productivity, and streamline operations. A recent survey by Economic Research Institute found that 77% of companies are already using AI tools, primarily to automate repetitive tasks and support decision-making. HR leaders must act now to embrace AI as a supplemental tool to enhance efficiency and stay competitive in the evolving workplace.

HR cannot be the one stopping, but should be the one running with the Olympic torch to make this happen, set policies, and help people grow.

People Are Still the Asset — But the Job Descriptions Are Not

I’ll leave a deeper HR analysis here for Reanette — because this is where the human architecture either holds or fractures.

The HR Imperative: Managing the Human-Digital Transformation

The distinction Andrew makes is critical: employees are not disposable, but many traditional roles are becoming economically unsustainable. HR’s mandate is no longer to simply manage talent acquisition and retention; it is to manage the flow of talent and secure the organization’s future employability (for both the company and the individual).

1. The New Employee Value Proposition (EVP): From Stability to Employability

The old EVP (from 1995)—climbing a stable career ladder—is obsolete. The new social contract (2026) requires radical transparency and a tangible commitment to continuous upskilling. HR must shift the focus to:

  • Skills-Based Architecture: Move beyond static job descriptions. Talent management systems must inventory employees’ granular, transferable skills, not just their job titles.
  • Funding Career Pivots: Allocate a defined portion of productivity gains to internal transition support—funding for reskilling, dedicated career coaching, and time dedicated to internal project-based work (an Internal Talent Marketplace).
  • The Dignity in Transition Framework: For roles that are eliminated, HR must prepare funded, humane transition frameworks that provide not just generous severance, but dignity—true reskilling stipends and placement support before they are needed.

2. Redefining Value: Irreplaceable Human Capabilities

If AI automates repeatable cognitive tasks, then human value shifts to the capabilities that cannot be automated. HR must ruthlessly automate the repetitive and deeply invest in what remains (move from transaction to transformational):

The Automatable (Tasks)The Irreplaceable (Competencies)
Data entry, summary, basic analysisCreative Synthesis: Connecting disparate ideas for novel solutions.
Basic compliance/policy Q&AEthical Governance: Setting boundaries and overseeing AI output.
Project management scheduling/trackingJudgment & Trust: High-stakes decision-making and client advisory.
Junior content draftingComplex Empathy: Situations requiring high-stakes emotional intelligence.

3. Operationalizing AI Fluency

“AI fluency becomes baseline, not bonus” is a requirement, not a suggestion. HR must make the following mandatory:

  • Mandatory AI Education: Implement a certification program for all employees on foundational AI concepts, ethical use, and prompt engineering.
  • Integration into Performance: Embed AI use and governance into annual performance reviews as a core competency for every role.

If handled poorly, the loss of trust from employees who feel blindsided or disposable will result in a cultural cost that will dwarf any short-term economic gain. HR must lead this transformation by being the source of truth, the architect of new capabilities, and the champion of human dignity.

What is clear already is this:

Junior roles in software, customer service, analysis, and administration are being frozen or quietly reduced, not because AI is perfect, but because leaders are modeling for where it will be in 12–24 months.

That anticipatory behavior is rational from a balance-sheet perspective.

It is destabilizing from a human first and foremost.

We owe employees honesty — not vague “reskilling” language that no one operationalizes. We owe them clarity about which tasks are exposed. We owe them real pathways into higher-value roles. We owe them dignity in transition.

This is where HR leadership will matter most:

  • Radical transparency about exposure.
  • Aggressive internal redeployment before external cuts.
  • Serious investment in transition support.
  • A new social contract for those who remain.

Reanette will expand this from the HR lens — because if this is handled poorly, the cultural cost will dwarf the economic gain.

The Cultural Cost of Inaction

I cannot emphasize enough that those not using AI are talking about you. It is hurting your competitive advantage regarding employees and your business. Your employees see it!

If this human-digital transformation is handled poorly—without radical transparency, proactive upskilling, and humane transition frameworks—the short-term economic gains will be eclipsed by a profound cultural cost. Employees who feel blindsided, disposable, or unvalued will retaliate through loss of engagement, erosion of psychological safety, and the exodus of remaining high-value talent. 

The loss of trust is a long-term liability that will permanently fracture the new social contract. 

A truly survivable company is one that treats its people as a valued constant, even if their job descriptions are a variable.

The steps you need to take to save the culture:

  • Build transparency around what you are and are not doing
  • Build policies and marketing about what the company will and will not use AI for
  • Build conversations that include AI
  • Allow people to run to AI
  • Keep it normalized, but do not turn your people into robots with AI
  • Keep the humanization in the workplace

What a “Survivable Company” Actually Looks Like

A survivable company in the AI era will look materially different:

  • Headcount-to-revenue ratio becomes a core strategic metric.
  • AI fluency becomes baseline, not bonus.
  • Workforce composition shifts toward judgment, trust, synthesis, and physical + digital hybrid roles.
  • Talent strategy becomes dual-track: deeply invest in irreplaceable human capabilities while ruthlessly automating repeatable cognitive tasks.
  • Governance includes a human impact assessment for major AI deployments.

This is not a “cut your way to efficiency” thesis.

It is a redesign thesis.

Reduction without redesign leads to fragility.

Redesign leads to resilience.

What to Do in the Next 6–12 Months (Joint Guidance)

Leaders

  • Commission a task-level automation audit by Q2.
  • Rewrite the 3-year strategic plan as a 2-year strategic action plan around agent-augmented productivity.
  • Allocate a defined portion of productivity gains toward workforce transition and retention — explicitly.

HR

  • Initiate transparent AI-readiness conversations across teams.
  • Build internal talent marketplaces now.
  • Prepare funded, humane transition frameworks before they are needed.
  • Operationalize AI Fluency
  • Draft New AI Governance Policies (but manage being the AI policy)
  • Build partnerships within the business as you build the parameters on their needs – not just what HR think is the need

Everyone, including Reanette and Myself

This is likely the last year you can afford to be merely “good at your current job.”

Become the person who designs, oversees, improves, and governs the AI systems that will replace parts of it.

Becomes the one that uses AI first to get ideas, or puts your ideas into AI to find better ideas.  It is not cheating, it is expanding.

This is not a doom post.

Let’s remember.  Previous technology waves — computers, the internet, cloud — created more and better work over time.

Technology waves happen.  The last one that was this big was computers – now most businesses have them.  Doomsday never came – it created bigger.

The difference now is speed. Speed with recognition that not everyone does speed well, but they do not have a choice.

And the fact that knowledge work is being hit first.

The companies that treat the next 24 months as a redesign window will emerge stronger, more productive, and still human-centered.

The companies that simply cut, ignore, and hope will shrink into irrelevance.

We are committed to the version where people remain valued — just in different seats, doing higher-value work, alongside extraordinarily capable machines.

The clock is real.

The choice is still ours.

The new term is “AI it.”

About the Authors


Andrew Bloo

Andrew Bloo is a leadership consultant and the creator of the HITSLeadership™ framework. He works with founders, executives, and operators who are tired of reactive leadership and burnout-driven culture, helping them build clarity, steadiness, and trust through practical leadership systems. Andrew focuses on leadership under real pressure — when decisions are messy, people are human, and presence matters more than polish.

Reanette Etzler

Reanette Etzler coaches HR professionals and CEOs to align their HR strategic initiatives with business results and employee experience. With 25+ years of C-level HR experience, she helps CEOs and HR leaders build HR strategy and coaches HR leaders to move from transactional to transformational partnership using her proprietary IMPACT Model. She’s known for delivering keynotes packed with AI-powered tools and actionable strategies — because she doesn’t just speak, she equips leaders to drive real ROI.

Sources:

1. Mustafa Suleyman (Microsoft AI CEO) – “most tasks… sitting down at a computer… fully automated within the next 12–18 months” (Feb 2026)

2. Dario Amodei (Anthropic CEO) – AI could eliminate half of entry-level white-collar jobs and push unemployment to 10–20% in 1–5 years (May 2025)

3. ~55,000 AI-attributed job cuts in 2025 (Challenger, Gray & Christmas)

4. Stanford/ADP data – 13% relative employment decline for ages 22–25 in AI-exposed roles since late 2022

5. McKinsey (Nov 2025) – today’s technology could theoretically automate ~57% of current U.S. work hours

6. Goldman Sachs – outright displacement risk at 6–7% of the U.S. workforce

7. World Economic Forum (Jan 2025) – 92 million jobs displaced, 170 million created by 2030

8. PwC AI Jobs Barometer 2025 – wages rising twice as fast in the most AI-exposed industries

AI in business, Business Leadership, HR Leadership

Andrew Bloo

Andrew Bloo

**Andrew Bloo** is a leadership strategist and brand builder who helps organizations reconnect strategy with reality. He created *Hands in the Soil Leadership™* (HITSLeadership™) Guide to give **executives, consultants**, and **small business owners** a practical way to cultivate growth that endures in an easily digestible and sustainable way.