The Great Tech Excuse: Why CEOs Are Suddenly Blaming AI for Everything

---

Tech CEOs have discovered their new favorite phrase: “AI made us do it.”

The headlines tell the story. Companies are suddenly pointing to artificial intelligence as the reason for mass job cuts, claiming they need the savings to fund more AI investment. It’s become the perfect corporate cover story — sophisticated enough to sound strategic, inevitable enough to deflect blame, and vague enough to mean whatever shareholders want it to mean.

But while executives craft their AI narratives, the actual technology infrastructure is falling apart around them. Lloyds Bank just admitted an IT glitch affected nearly half a million customers. The competition watchdog is investigating fake reviews plaguing platforms like Just Eat. Schools are abandoning Chromebooks because they’ve become distraction machines instead of learning tools.

Welcome to 2024’s defining tech paradox: AI as both savior and scapegoat.

Photo by Brett Jordan / Pexels

The Layoff Playbook Gets an Update

Remember when tech layoffs were blamed on “macroeconomic headwinds” and “overhiring during the pandemic”? Those excuses are so 2023. Now it’s all about AI transformation.

The pattern is becoming predictable. A company announces job cuts affecting thousands of workers, then immediately pivots to talking about increased AI investment. The message is clear: we’re not shrinking, we’re evolving. We’re not failing, we’re future-proofing.

This isn’t just corporate spin — it’s a fundamental reframing of what technology companies think they are. For decades, the big tech firms sold themselves as job creators, innovation engines that expanded opportunity. Now they’re positioning themselves as efficiency machines that eliminate human inefficiency.

The timing is suspicious. These same companies spent 2021 and 2022 hiring aggressively, often for roles that had nothing to do with their core business. Now they’re claiming AI makes those same roles obsolete? Either their hiring was catastrophically poor, or their AI story is convenient fiction.

My read: it’s mostly the latter. AI provides cover for correcting previous overexpansion while maintaining the growth narrative that Wall Street demands. Instead of admitting they made hiring mistakes, executives get to sound visionary.

Photo by nappy / Pexels

When the Infrastructure Crumbles

While CEOs talk about AI transformation, their basic technology is breaking down.

Lloyds Bank’s IT glitch hitting almost half a million customers isn’t just a single incident — it’s emblematic of how legacy systems are creaking under modern demands. The bank had to write an apology letter to the Treasury Select Committee and pay compensation to affected customers. This is what happens when you spend more energy talking about AI innovation than maintaining the boring infrastructure that actually serves customers.

The fake reviews investigation targeting Just Eat and Autotrader reveals another crack in the foundation. These platforms built their business models around user-generated content and algorithmic ranking, but they failed to invest in the unglamorous work of content moderation and verification. Now the UK’s competition watchdog is asking uncomfortable questions about how misleading reviews undermine the entire concept of digital marketplaces.

Even more telling is the Chromebook backlash in schools. Educational technology was supposed to transform learning, but seventh graders are saying they prefer textbooks and pencils. The devices meant to enhance education became vehicles for YouTube and video games. Teachers are removing digital tools and returning to analog methods.

This isn’t Luddite nostalgia. It’s recognition that technology without thoughtful implementation often creates more problems than it solves.

Schools discovered what many organizations learn too late: deploying technology is easy, but making it actually improve outcomes is hard work that requires ongoing attention and iteration. Most institutions skip the hard part.

The Global Fracture Points

The tech industry’s problems aren’t just about individual companies making poor decisions. The entire global technology ecosystem is showing stress fractures.

Chinese tech companies are racing to set up operations in Hong Kong, using the territory as a testing ground and springboard for global expansion. This isn’t just about market access — it’s about navigating an increasingly fragmented world where technology platforms face different regulatory environments and political pressures in different regions.

Meanwhile, an invisible crisis is brewing in semiconductor manufacturing. A helium shortage, caused partly by supply disruptions from the war affecting Iran, threatens AI chip production. With a third of global helium supply offline, gas companies are scrambling to assure chipmakers there won’t be disruptions.

Think about that for a moment. The AI revolution that’s supposedly transforming everything depends on helium — a finite resource that’s literally floating away from Earth’s atmosphere faster than we can replace it. The most advanced technology companies in history are constrained by the same resource scarcity issues that have plagued civilizations for millennia.

The Binance scandal adds another layer to this global fragmentation story. Investigators found $1.7 billion flowing to entities linked to Iran through the world’s largest crypto exchange, with clues sitting in plain sight for over a year. This isn’t just about cryptocurrency — it’s about how global technology platforms struggle to monitor and control the activity happening on their networks.

Price Signals and Market Reality

Sony’s decision to hike PS5 prices by £90 in the UK tells us something important about where the technology market actually stands versus where companies claim it’s heading.

The gaming industry is supposed to be transitioning toward cloud gaming, subscription services, and AI-enhanced experiences. But Sony is raising hardware prices because of global economic pressures — the same mundane forces that affect every other manufacturing business.

This price increase reflects reality that the AI transformation narrative obscures. Technology companies still deal with supply chains, manufacturing costs, currency fluctuations, and consumer price sensitivity. They’re not immune to economic gravity just because they build AI tools.

The PS5 price hike also signals something about consumer demand. If Sony felt confident about the gaming market’s growth trajectory, they’d absorb these cost increases to maintain market share. Instead, they’re passing costs to consumers, suggesting they think demand is inelastic enough to withstand higher prices.

That’s not the behavior of a company expecting explosive AI-driven growth to transform their industry. It’s the behavior of a mature hardware business optimizing margins.

The Platform Responsibility Reckoning

YouTube CEO Neal Mohan recently faced questions about AI slop, parental controls, and his platform’s impact on society. The interview highlights how platform leaders are grappling with consequences they didn’t anticipate when they built systems optimized purely for engagement.

AI-generated content is flooding YouTube, creating what Mohan euphemistically calls “AI slop” — low-quality videos designed to game algorithmic recommendations rather than provide value to viewers. The platform that was supposed to democratize media creation is being overwhelmed by automated content farms.

This connects directly to the fake reviews problem affecting Just Eat and other platforms. When you build systems that reward engagement over quality, you create incentives for gaming those systems. AI tools make gaming easier and cheaper, accelerating the problem.

The solution isn’t more AI — it’s better human judgment about what platforms should optimize for. But that requires admitting that pure algorithmic optimization creates perverse incentives, which undermines the tech industry’s core narrative about algorithmic efficiency.

Mohan’s comments about parental controls reveal another fundamental tension. Platforms want to be seen as safe for children while maintaining engagement-driven business models that profit from addictive design patterns. These goals are fundamentally incompatible, but executives keep pretending they can thread the needle with better technology.

The Anthropic Case Study

The judge’s decision to stay the Pentagon’s labeling of Anthropic as a “supply chain risk” offers a window into how AI governance is actually developing versus how it’s being discussed publicly.

This legal battle isn’t about abstract AI safety principles — it’s about which companies get access to lucrative government contracts. The Department of Defense wants to control which AI companies can participate in national security work, while companies like Anthropic want to avoid being locked out of a growing market.

The “supply chain risk” designation reflects growing government awareness that AI companies aren’t neutral technology providers. They’re potential points of strategic vulnerability, especially if they depend on foreign investment or have unclear ownership structures.

But the judge’s stay suggests that simply declaring AI companies risky without clear evidence won’t hold up in court. The legal system is demanding specificity about AI risks that the policy community has mostly discussed in hypothetical terms.

This case will likely set precedents for how governments can regulate AI companies without triggering successful legal challenges. It’s a test of whether AI governance can move from academic speculation to enforceable policy.

My prediction: Anthropic wins this round, but the Pentagon develops more sophisticated criteria for future supply chain risk designations that are harder to challenge legally.

What This All Means

The AI excuse is working too well for tech CEOs to abandon it anytime soon.

Companies discovered they can blame job cuts on AI transformation instead of poor management decisions. They can justify price increases by pointing to AI investment needs. They can deflect criticism about platform problems by promising AI solutions are coming.

But reality has a way of intruding on convenient narratives. Infrastructure still breaks down. Supply chains still face shortages. Customers still get frustrated with poor service. Regulators still ask hard questions about business practices.

The companies that survive the current hype cycle will be those that use AI to actually solve problems rather than just talking about it. The ones that fail will be those that used AI rhetoric to avoid addressing fundamental business issues.

I think we’re approaching peak AI excuse. The novelty is wearing off, and stakeholders are starting to demand concrete results rather than transformation promises. Companies that have been coasting on AI narratives will face a reckoning when those narratives stop working.

The technology industry is due for a period of boring, incremental improvement rather than revolutionary rhetoric. The infrastructure needs to be fixed. The platforms need to be made genuinely useful rather than just engaging. The business models need to create value for customers, not just shareholders.

That’s harder work than giving speeches about AI transformation, but it’s what actually builds sustainable technology companies.

Photo by Markus Spiske / Pexels

What I’m Watching

• Q1 2024 earnings calls — Whether tech CEOs shift from AI transformation rhetoric to concrete metrics about productivity gains and cost savings from AI implementations
• Helium spot prices — Any spike above $4 per thousand cubic feet could signal real disruption to semiconductor manufacturing and force AI companies to acknowledge supply chain vulnerabilities
• Anthropic vs Pentagon resolution — The final ruling will establish precedent for how governments can regulate AI companies without successful legal challenges, affecting the entire sector’s relationship with national security contracts
• UK competition authority fake reviews investigation outcomes — Penalties against Just Eat or Autotrader would signal broader regulatory crackdown on platform accountability, potentially affecting how all user-generated content platforms operate

The AI excuse era is ending. What comes next will separate the companies building real value from those just riding the hype wave.