AI Tools Are Killing Productivity - But Who's Really Paying?

Another day, another round of tech layoffs powered by artificial intelligence. The latest victim? GitLab, which just cut 14% of its workforce as it “scales its platform to serve AI workloads.” Meanwhile, Cloudflare announced that AI has made 1,100 jobs obsolete even as revenue hits record highs.

It’s a pattern we’ve seen across the industry: Intuit laid off 3,000 employees to “refocus on AI,” and major corporations everywhere are quietly trimming headcount while simultaneously shouting about their AI investments.

Here’s the dirty little secret about AI: it’s not actually making us more productive. It’s just automating the jobs of expensive humans and replacing them with cheaper, slightly-less-capable AI workers.

Google’s AI Search Backlash

While companies are desperately pushing AI on customers, users are voting with their feet. DuckDuckGo reported a stunning 30% increase in installs as users reject being “force-fed” Google’s AI-powered search results. Google’s overhaul at I/O 2026 replaced blue links with AI agents, and the backlash has been swift.

Users are tired of being the product. They’re tired of AI hallucinations and chatbot nonsense. They want simple, reliable tools that actually work, not another corporate experiment masquerading as innovation.

The Budget Cutting Paradox

The most fascinating development is how AI has become the perfect excuse for budget cuts. Take Glean, an enterprise AI search startup that just crossed $300M in revenue. Their entire pitch? “We’ll help you cut your AI budget.”

Yes, you read that right. The AI industry’s growth strategy is now: sell companies tools to reduce their spending on other AI tools. It’s the ultimate tech shell game.

GitLab’s move to cut 14% of staff while supposedly scaling for AI workloads is even more telling. They’re not scaling up – they’re scaling down the human workforce while putting on a brave face about “AI transformation.”

Self-Hosting: The Ultimate Rebellion

This is where Bountymon’s mission becomes critical. As corporate AI becomes more expensive, more intrusive, and less useful, we’re seeing a growing movement toward self-hosting and open-source alternatives.

Open-source AI tools are becoming more sophisticated, and more importantly, they’re becoming more transparent. You know where your data is going, you know how the model works, and you control the cost.

The trend is clear: big tech’s AI strategy is to extract maximum value from customers while simultaneously eliminating the humans that made their products useful. The result is a tech landscape that’s increasingly expensive, impersonal, and ineffective.

For software buyers, the message is clear: don’t get suckered into the AI hype. Look for tools that work, not tools that make bold promises. And when you can, run them yourself.

That’s the future of software: user-controlled, self-hosted, and actually useful.

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