The industry that once promised wealth, status, and job security is now generating something else entirely: fear. Here's what's going wrong, why it matters, and why focusing on people again will give AI tech companies a competitive advantage.
I haven't spoken to a single senior tech leader in the past six months who would describe themselves as happy in their role.
Not one.
These are some of the smartest, most driven people in the world- people who chose an industry known for big bets, bold visions, and the genuine belief that technology could change human life for the better. And right now, most of them are confused, nervous, and running on empty.
So what's happening? And more importantly, what should tech companies be doing about it?
THE LANDSCAPE
The AI Gold Rush of 1849: We've Seen This Before
In January 1848, gold was discovered at Sutter's Mill in California. Within months, more than 300,000 people flooded the state. Some struck it rich. Most didn't. The ones who suffered most weren't just the unlucky- they were the ones who moved too fast, without a plan, driven purely by the terror of missing out.
What's happening in AI right now looks eerily similar. Since 2022, the number of generative AI companies has exploded from roughly 50,000 to more than 67,000 globally. In 2025 alone, 49 U.S. AI startups each raised $100M or more. OpenAI's latest round valued the company at $300 billion. Bay Area companies pulled in $90 billion in venture funding in a single year.
But here's what the headlines aren't telling you: while venture capitalists are flooding money into AI companies, the companies themselves are quietly pulling money out of something else to fund their own AI arms race. And what they're pulling it from is their people.
According to Andy Challenger of Challenger, Gray & Christmas, one of the most respected workforce research firms in the country, companies are now explicitly "shifting budgets toward AI investments at the expense of jobs." Not just jobs, employee benefits and support too. Corporate wellness spending dropped 19% per employee in just two years. Outside training and development investment fell 21% in a single year. And in a particularly telling irony, 60% of tech workers say they are using AI at work daily but have received zero formal training on how to use it effectively.
The people absorbing all of this are not OK. LeadDev's 2025 Engineering Leadership Report, which surveyed over 600 engineering leaders and developers specifically inside tech, found that 46% are experiencing moderate to critical burnout. Forty percent say their teams are less motivated than a year ago, and 65% say their responsibilities expanded after the last round of cuts with no reduction in expectations. According to Glassdoor's Employee Confidence Index, the tech sector recorded its largest year-over-year drop in confidence of any industry in 2025, falling 6.8 percentage points, and senior level IT confidence dropped 4.6 points in a single month.
Across industries, a 2025 employee engagement study found that 71% of workers report what researchers now call "AI anxiety" - the persistent fear that the technology their company is racing to adopt will ultimately eliminate their role, devalue their expertise, or reshape their work in ways they cannot yet prepare for. Inside tech, where that threat feels most personal, that number is almost certainly higher. These are not people who need a ping pong table. They need leadership that acknowledges reality.
Sources: TrueUp Layoffs Tracker (April 2026) · LeadDev Engineering Leadership Report 2025 · Data Ramp Capital via Moneywise (2026) · People Element Employee Engagement Report 2025
To bring this to life, here is a story from one of my clients. A VP at one of the top SaaS companies had been working hard to align his team around a new company strategy. After investing significant time and energy getting his people onboard and building the plans to support it, six weeks later the strategy shifted. He rinsed and repeated- same enthusiasm, same reassurances- but this time struggling to mask his own exhaustion and worried his team could see through it. Six weeks after that, the strategy shifted again. That same Friday morning, an email arrived: your job has been eliminated. He told me later it felt like a relief… That should give every senior leader in tech pause. When a talented, committed VP experiences a layoff as relief rather than loss, something has gone profoundly wrong long before that email was sent. The exit was not the problem. The conditions that made leaving feel like freedom- that was the problem.
What we're seeing in the tech world today is not a productivity strategy. It is a pressure cooker. And the data says it is already cracking the very people who are expected to usher us into this new AI era.
In 1849, when people rushed in to find gold without a well-baked strategy, the cost landed on individuals. Today, it's landing on entire organizations, entire leadership teams, and the people inside them.
"Unlike earlier layoff waves driven by over-hiring, many of 2025's reductions were permanent, with entire roles eliminated as companies rebuilt around AI-first operating models." -Alan Cohen, Analyst, RationalFX (January 2026)
FROM THE FIELD- What Leaders inside Big Tech Are Actually Experiencing
These aren't hypotheticals. These are real conversations from the leaders I work with and talk to regularly working in some of the most well-known names in tech.
STRATEGY WHIPLASH
CEOs are drafting new company strategies overnight and presenting them to the leadership team the same morning the rest of the company finds out. No pre-alignment. No pressure-testing. Just slides- and a room full of senior leaders trying to look confident when they feel anything but.
THE EMAIL YOU DREAD OPENING
One Friday, thousands of people at a major tech company opened their email to learn their job no longer existed. No warning. No personal conversation. No explanation. Access to company files revoked. Please see yourself out the door.
30% TEAM CUTS, 100% OF THE EXPECTATIONS
Teams are being cut by 30% while goals remain unchanged or increase. Hallways that were once buzzing with collaborative energy are now filled with downcast eyes and siloed teams quietly competing for relevance- each one frantically trying to appear like they "get AI" while privately building the airplane mid-flight.
Before We Go Further- A Word on What It’s Like at the Top
None of this is happening in a vacuum. The leaders making these decisions are operating under immense pressure that is genuinely historic in scale- and they’re betting the farm. Alphabet, Microsoft, Meta, and Amazon alone are projected to spend nearly $700 billion on AI in 2026, a 60% increase over already record-setting 2025 levels. These are not calculated bets. They are existential commitments made in real time, in a race with no clear finish line and competitors who are just as well-funded and just as desperate to win. The talent capable of building truly differentiated AI is finite and fiercely contested. The board is watching. The market is watching. And the pressure to move- now, fast, decisively- is unlike anything most leaders have navigated before.
When the stakes are this high and the timeline feels this short, the instinct to pull decision-making close, move fast, and communicate later is entirely predictable. It is also, as the research consistently shows, the response most likely to undermine the very outcome leaders are trying to achieve. Under extreme pressure, humans default to control. And control, at scale, produces exactly the fear, disengagement, and cognitive shutdown we have already documented. This is not a character flaw. It is a leadership gap-and it is a learnable one.
The leaders who will ultimately prevail in this race are the ones who can hold two things at once: the urgency the moment demands and the organizational clarity that makes execution possible.
That combination is rarer than it should be. And it starts with understanding why the instinct to control is the most expensive mistake a leader can make right now.
THE SCIENCE- The Brain on Fear Cannot Lead a Revolution
Here's what tech companies are getting wrong: when you are trying to innovate at the pace and scale of the AI transformation, the worst possible cognitive state for your workforce is fear.
This isn't soft skills territory. This is neuroscience.
When employees experience job insecurity, strategy whiplash, or perceived social threat, like the threat of a Friday email layoff, the amygdala activates a fight-or-flight response. The brain shifts resources away from the prefrontal cortex, the seat of executive decision-making, creative thinking, and long-range planning, and toward survival mode. The result: teams that are physically present but cognitively checked out. This is the exact opposite of what is needed to win an AI race
Google's Project Aristotle, one of the largest workplace studies ever conducted, found that psychological safety, the belief that you will not be punished for speaking up, taking risks, or admitting uncertainty, was the single greatest predictor of high performing teams. Above talent. Above experience. Above any other variable measured. The companies investing in AI tools while systematically dismantling psychological safety are working directly against themselves.
"If leaders, teams, and companies really want to master the AI revolution, leaving decision-making to a select few while the rest of the organization seizes up in fear will severely compromise those efforts."
-Amy Sanchez, Executive Coach, Swim Against the Current
The companies that will build sustained competitive advantage are not just the ones moving fastest. They are the ones moving fast with organizational clarity- where psychological safety, co-created strategy, and leadership alignment allow their smartest people to execute well under pressure rather than seize up in fear.
WHAT TO SHIFT: FOR LEADERS WHO SET STRATEGY
Stop Telling. Start Asking. (Oracle Learned This the Hard Way.)
In 1995, Oracle faced a strategic crisis that sounds remarkably familiar: a major technological shift with an unclear business strategy and a leadership team that wasn't aligned. Ray Lane, Oracle's president at the time, and his senior team did what most leaders do before a company leadership offsite- they prepared a PowerPoint presentation. Two hundred and fifty leaders sat in a room and watched slides. Confusion spread. "We aren't clear on the strategy," leaders said afterward. "We just saw a lot of PowerPoint slides."
The leadership team knew there were gaps. So they stopped trying to find the answer among a select few at the top. And they tried something different.
Instead of cascading decisions downward, Lane started asking questions upward and outward: "Are these the transformations needed in the business?" "Which of our assumptions about the future might be wrong?" Over two days, the leadership team examined four key transformations, identified milestones, and then passed their thinking to the next group- who pushed it further. Every SVP and VP had challenged the work of the group before them. They found the gaps. They stress-tested the logic. And when the final strategy rolled out, there were no questions. No pushback. No awkward silence. Just ownership, momentum, and fast action.
The insight, then and now, is straightforward: co-created strategy generates commitment. Broadcast strategy generates compliance. And compliance is not where people muster up the passion to innovate and execute. In fact, it's quite the opposite.
A word on competitive risk- because this is important when racing to make a developmental leap first. Bringing more leaders into the strategy process does not mean sharing proprietary technology roadmaps or exposing your AI development plans to the organization at large. Oracle did not hand 250 leaders their source code. They shared the strategic questions that needed answering. There is a meaningful difference between your secret sauce- the models you are building, the data you are training on, the products you are betting the company on- and the strategic context your leaders need to execute it well. The strategic context your leaders need- the why behind the direction, what success looks like, how decisions will be made- is not what competitors are trying to steal. It is what your own people need to execute well. Keeping them in the dark does not protect your competitive position. It quietly destroys your ability to hold it.
A three-step framework for tech leaders navigating AI strategy today
- Pressure-test your assumptions before you build your plan
Before cascading any new AI strategy, stop and ask: "What are we assuming about this shift that could be wrong?" Invite your VP and director-level leaders into that questioning- not as an exercise, but as the actual strategy-building process. Their proximity to the work means they will see what you cannot from the top.
2. Expand the circle of strategy- deliberately
Co-create with your people managers. These leaders are closest to the talent executing the AI transition. They are not just communication conduits, they are strategic assets who understand where the real capability gaps are, what will break under pressure, and what the organization can realistically absorb. Use them. Stop treating them as the last stop on the announcement train.
3. Create ownership before you announce
When leaders at every level have touched and challenged the strategy, they walk into all-hands meetings as advocates, not bystanders. The questions get asked in the room where they belong, not in Slack channels after the fact. Roll out strategy that your leadership team helped build, and watch the speed of execution change almost immediately.
Framework adapted from Liz Wiseman's Multipliers- Oracle's 1995 strategic realignment case study
WHAT TO SHIFT: FOR TECH LEADERS NAVIGATING THE CHAOS PERSONALLY
You Can't Calm Your Team If You're Drowning Yourself
The leaders I work with who are managing this well aren't unaffected by the uncertainty. They're simply more intentional about how they respond to it. Three practices have come up repeatedly in my conversations with leaders navigating this climate
- Reframe the narrative before it runs without you
In the absence of information, humans invent stories — and because our brains are wired to keep us alive, we have a negativity bias. Worst case scenarios get the most airtime. Neuroscience research shows that cognitive reappraisal, the deliberate act of reframing a situation, shifts the brain from a threat state to a challenge state. When a new strategy lands, before reacting, ask yourself: "What's the story I'm telling myself here — and is it accurate?" Then say it out loud to a trusted colleague. Research from UCLA psychologist Matthew Lieberman, published in Psychological Science, found that simply naming an emotion measurably decreases amygdala activity and increases prefrontal cortex engagement. Articulating the fear does not amplify it. It interrupts it. You are not ignoring the chaos. You are refusing to let it hijack your thinking.
2. Control the controllables- ruthlessly and visibly
You cannot control whether your company's AI strategy changes again next quarter. You can control your team's operating rhythm, the clarity of their goals, and whether they know you are in their corner. Leaders who thrive in high-ambiguity environments anchor themselves, and their teams, to what is stable: the quality of the work, the strength of the relationships, the development of their people. When the company-wide direction is unclear, the team-level clarity and culture become your competitive advantage. Leaders who communicate this visibly and consistently are the ones their teams stay loyal to when exits become an option.
3. Regulate first. Lead second.
Mirror neurons are real. Research confirms that a frantic or reactive leader amplifies team anxiety. Conversely, a calm, composed leader signals neurological safety to those around them. Your nervous system is contagious. Before a difficult all-hands, a tense strategy meeting, or a one-on-one with a struggling team member, take 60 seconds. Breathe. Name what you're feeling internally. Research shows this brief moment of self-regulation re-engages the prefrontal cortex, the part of the brain that actually knows how to lead, and reduces the amygdala response before you walk in the room.
THE BOTTOM LINE: The Winners of the AI Race Will Be the Best-Led Organizations
Thousands of companies are in a sprint right now. Most are making decisions out of fear of falling behind- cutting teams, pivoting strategies overnight, and expecting their people to execute brilliantly while walking on eggshells.
In 1849, very few of the gold rush miners struck it rich. The ones who built lasting wealth were often not the miners at all. They were the people who supplied them, who identified the trends, who built the infrastructure, who thought past the initial frenzy.
The companies that will build sustained competitive advantage are not just the ones moving fastest. They are the ones moving fast with organizational clarity- where psychological safety, co-created strategy, and leadership alignment allow their smartest people to execute well under pressure rather than seize up in fear.
Those who figure this out now will not just survive the gold rush. They will define what comes after it.
Are you or your leadership team navigating this terrain?
If you read this and recognized your team, your company, or yourself- that recognition is the starting point. The leaders I work with did not wait until things broke completely. They got ahead of it. I partner with leaders and teams working at growing life science and tech companies to build the leadership clarity, team trust, and operating habits that hold up under pressure.
Data references: RationalFX Global Tech Layoffs Report (Jan 2026) · TrueUp Layoffs Tracker (April 2026) · Glassdoor Employee Confidence Index, IT Sector (2024–2025) · LeadDev Engineering Leadership Report 2025 · People Element Employee Engagement Report 2025 · Center for American Progress, Cost of Employee Turnover · Crunchbase AI Funding Data (2024–2025) · Challenger, Gray & Christmas Workforce Report (2025) · Matthew Lieberman, Putting Feelings Into Words, Psychological Science (2007) · Google Project Aristotle (re·published findings) · Liz Wiseman, Multipliers (HarperBusiness)