Everyone has an opinion about AI right now. Your LinkedIn feed is split between true believers predicting the singularity and skeptics declaring the bubble has already burst. Meanwhile, you’re just trying to figure out which tools actually matter, whether you’re hiring the right people, and how to build something that lasts.
The noise is deafening, but the signal is fascinating. Recent conversations with founders, strategists, and industry insiders reveal a picture of the current business landscape that contradicts nearly everything you’re reading in the headlines. From why the “AI collapse” narrative is statistically absurd to the hiring mistake that can destroy 90% of your company’s output, here are seven counterintuitive truths that will change how you think about building in 2026.
The “AI Bubble” is Actually Just Unrealistic Expectations Meeting Reality
Let’s address the elephant in the room: you’ve probably seen articles pointing to slowing growth rates at AI companies like Cursor and Lovable as proof that the AI hype is deflating. The conclusion seems obvious. AI is overhyped. The bubble is bursting. Time to move on.
Except the data tells a completely different story.
Lovable, for instance, reached $200 million in annual recurring revenue in roughly a year. Read that again. Two hundred million dollars. In one year. For context, that’s a growth trajectory that’s not just rare but virtually unprecedented in software history. When your “proof of decline” is a company that’s still growing faster than almost any business in history, you might be measuring against the wrong benchmark.
The real issue isn’t that AI is failing to deliver. It’s that expectations became so wildly detached from reality that even extraordinary success looks like disappointment. Companies that would have been celebrated as rocketships five years ago are now dismissed as evidence of AI’s limitations. This is a perception problem, not a technology problem, and it creates genuine opportunities for builders who can see past the narrative.
Anthropic is Quietly Winning the Enterprise AI Wars
While most people are still debating whether to use ChatGPT or Claude for their personal tasks, a massive shift is happening in enterprise AI adoption that deserves more attention.
Anthropic’s Claude now commands 40% of the enterprise market share. Meanwhile, OpenAI’s dominance has crumbled from 50% to just 27% in two years. This isn’t a minor fluctuation. This is a fundamental realignment of the AI in enterprise landscape.
Why is this happening? The answer comes down to something unsexy but critical: accuracy with data and charts. Claude hallucinates less than ChatGPT when working with structured information, and in enterprise contexts where mistakes can cost millions, that reliability premium matters enormously.
This trend reveals something important about AI enterprise adoption: the flashiest consumer product doesn’t always win in business contexts. Enterprise buyers care about consistent accuracy, integration capabilities, and trust. If you’re building AI-powered tools or advising companies on their AI strategy, understanding this preference shift could be the difference between winning and losing major contracts.
Companies are Spending 6X More on AI for Coding Than Marketing (And Here’s Why That Makes Sense)
Here’s a stat that might surprise marketers: enterprise AI spend heavily favors product and engineering at $4.2 billion, absolutely dwarfing marketing’s $660 million.
At first glance, this seems like marketing is being left behind in the AI revolution. But there’s a more interesting explanation: coding is black-and-white and verifiable. Either the code works or it doesn’t. Either it passes the tests or it fails. This binary nature means AI can excel at coding tasks without the hallucination problems that plague more subjective domains.
Marketing, by contrast, lives in the world of nuance, context, and human psychology. AI-generated marketing copy might sound plausible but miss the emotional resonance that drives conversions. A campaign might be technically correct but culturally tone-deaf. These subtleties make marketing AI harder to trust and harder to measure.
But here’s the shift that matters: the era of testing every shiny new AI marketing tool just to show you’re “doing something with AI” is ending. Companies now want marketing teams to use AI specifically to improve efficiency and drive core KPIs tied directly to revenue growth and profitability. The focus is moving from experimentation to fundamental business impact.
The “Bozo Explosion” Will Destroy 90% of Your Company’s Output
Let’s talk about the single most devastating hiring mistake you can make: settling for B-players.
This isn’t about being elitist or perfectionist. It’s about understanding a brutal mathematical reality. When you hire B-players, they lower your operational standard. And because B-players tend to hire C-players (nobody wants to hire someone who makes them look bad), you trigger what’s known as a “Bozo Explosion.”
The impact isn’t linear. It’s exponential. Hiring too many B-players can decrease your expected organizational output by over 90%, making it incredibly hard for the company to recover. You don’t slowly decline. You collapse.
Think about what this means for your next hire. That person who’s “good enough” or “we can train them up” or “they’re a culture fit even if the skills aren’t perfect” might be the first domino in a chain reaction that destroys most of your company’s potential output.
The antidote? A small “two-pizza team” of four or five exceptional people will vastly outperform a large team of average ones. If you find yourself constantly micromanaging an employee, that’s not a training issue. That’s a hiring issue, and you probably need to replace them with better talent.
The “Random Interview” Test Reveals Your Weakest Links
Here’s a thought experiment that doubles as a powerful hiring and team management framework: imagine your newest hire randomly pulls aside any current team member for an informal interview.
How do you feel about that?
If you’re entirely confident in that scenario, great. Your team is solid. But if you flinch at the idea of them talking to a specific person, if you think “oh god, I hope they don’t talk to Steve,” that’s your answer. Steve needs to go.
This test is brilliant because it forces you to confront a truth you might be avoiding: keeping mediocre team members doesn’t just hurt the team. It actively repels the top-tier talent you’re trying to attract. The best employees only want to work with other exceptional people.
This is also why founders cannot completely outsource recruiting, especially for senior roles. While lower-level positions can be filled through job ads and recruiters, 70% to 100% of executive or director-level hires should be sourced directly through a founder’s or company’s internal network. Great talent attracts great talent, and that starts at the top.
Scarcity is the Pricing Strategy Nobody’s Using (But Should Be)
There’s a fascinating pricing psychology principle hiding in an unexpected place: strip club economics.
Stay with me here. The “strip club bouncer” strategy is about using scarcity as a filter that drastically increases perceived value. When there’s a line outside, when people are being turned away, when entry costs more, the expectation is set: what’s inside must be incredibly valuable.
One consultant tested this principle by positioning himself as “at capacity” and simultaneously quadrupling his prices. The result? His close rate didn’t drop. It actually increased from 34% to 71%. By making himself scarcer and more expensive, he became more desirable.
Most businesses do the opposite. They make themselves as accessible as possible, drop prices to attract customers, and wonder why clients don’t value their work. Scarcity and premium pricing aren’t just about making more money per transaction. They’re about attracting better clients who respect your expertise and signaling that your service is worth paying for.
The lesson isn’t to arbitrarily raise prices or create fake scarcity. It’s to recognize that pricing is a signal, and underpricing yourself signals low value, regardless of the actual quality of your work.
Compounding Businesses Beat Quick-Cash “Hustles” Every Single Time
In an era of “passive income” courses and get-rich-quick schemes, there’s a fundamental business truth that gets lost: it is far better to build a compounding, legitimate software or service business than to chase high-margin “hustle” businesses.
What’s a hustle business? Think operations that exploit regulatory loopholes, game government subsidies, or rely on arbitrage opportunities that can vanish overnight. These can generate impressive cash in the short term, but they have fatal flaws: they can be shut down quickly, they often rely on ethically questionable practices, and most importantly, they don’t compound.
Compounding businesses, by contrast, get stronger over time. Customer relationships deepen. Brand value increases. Processes improve. Skills accumulate. Every year of work makes the next year more valuable. You’re building equity, not just extracting cash.
This matters more than ever in the AI era. As automation makes it easier to spin up quick arbitrage plays, the moat around sustainable businesses becomes more valuable. Anyone can launch a hustle. Very few people can build something that compounds value over decades.
Bonus insight for content creators: This principle applies to content strategy too. “Brain rot” viral content might get more views than MrBeast, but it struggles to monetize because brands don’t want to be associated with it and you can’t build proprietary products for that audience. Meanwhile, niche content with smaller audiences often generates more real income. YouTube’s algorithm is shifting back to rewarding “big swing ideas” and unique access over hyper-optimized jump cuts and retention hacks.
Build for Decades, Not for Quarters
The throughline connecting all these insights is a shift away from short-term optimization and toward sustainable excellence. Whether it’s hiring only A-players, investing in AI tools that improve fundamental KPIs, pricing yourself as premium, or building compounding businesses, the winning strategy is the same: make choices that get better over time.
In a world obsessed with growth hacking and viral moments, the real edge might be the discipline to build something that’s still growing, still valuable, and still relevant a decade from now.
What are you building that will be more valuable in 2035 than it is today?
– Manpreet Jassal
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