OpenAI Is Killing Its Side Quests. That's Actually Genius.

OpenAI Is Killing Its Side Quests. That's Actually Genius.

March 21, 2026 • 9 min read

Everyone’s wrong about OpenAI cutting back on flashy projects. Here’s why.

The Conventional Wisdom

This week, The Wall Street Journal reported that OpenAI CEO of applications Fidji Simo told staff the company will prioritize coding and enterprise users over the wide array of projects it’s been pursuing.

That means:

And the tech press? Predictably melodramatic. “OpenAI is losing its way.” “They’re giving up on innovation.” “Microsoft is forcing them to be boring.”

Wrong. All of it.

Why That’s Wrong

OpenAI isn’t “giving up on innovation.” They’re doing what every successful company eventually has to do: stop spraying bullets and start aiming.

Here’s what people miss: side quests don’t make money. And in 2026, with AI companies burning billions on compute and talent, making money matters again.

Let’s break down why each “side quest” was a distraction:

Sora: Cool Demo, Terrible Business

Sora is insanely impressive. It generates video from text prompts that looks borderline magical. Hollywood directors are experimenting with it. Artists are losing their minds.

But here’s the problem: video generation is compute-intensive, legally murky, and has no clear monetization path.

Every Sora video costs OpenAI money. A lot of it. And unlike text generation (where you can charge per API call), video users expect Netflix-level pricing while consuming AWS-level resources.

Plus, the lawsuits. Oh, the lawsuits. Every frame Sora generates is one copyright lawyer away from a billion-dollar class action. OpenAI’s already fighting music labels, news publishers, and Getty Images. Why add Disney, Warner Bros, and every YouTuber with 10K subscribers to the list?

The smart move: Let Runway, Pika, and others burn money on video generation while you focus on revenue. Come back when the legal framework is clearer and the compute costs drop.

Atlas: Building a Browser in 2026

OpenAI wanted to build an AI-powered browser to compete with Chrome.

Stop. Rewind. Read that sentence again.

In 2026, when Google owns 65% of the browser market, has infinite resources, and just integrated Gemini directly into Chrome, OpenAI thought “yeah, we should build a browser from scratch.”

This isn’t innovation. It’s hubris.

Browsers are infrastructure. They’re free, commoditized, and only profitable as lock-in mechanisms for ecosystems (see: Safari, Edge). OpenAI doesn’t have an ecosystem. They have an API and a chatbot.

The only reason to build a browser is if you’re:

  1. Google (defending search ads)
  2. Microsoft (defending Office + Azure)
  3. Apple (defending iPhone lock-in)

OpenAI is none of these. They’d be pouring hundreds of millions into a product that at best becomes “Chrome but with ChatGPT built in” — which Google can clone in six months.

The smart move: Partner with browsers (which they’re already doing) instead of competing with trillion-dollar companies in a mature market.

Gadgets: The Hardware Graveyard

Smart speakers. AI cameras. AR glasses. Connected lamps (?!).

This is what happens when a company has too much capital and not enough focus. Someone in a product meeting said “what if we made hardware” and nobody had the courage to say “absolutely not.”

Hardware is:

OpenAI has none of these advantages. They’re a software company with world-class AI models. Asking them to make hardware is like asking Spotify to manufacture headphones.

Oh wait. Spotify tried that. It failed.

The smart move: License the tech to companies that actually know hardware (Meta, Apple, Sonos) and collect royalties.

What’s Actually Happening

OpenAI is making the least sexy, most profitable decision possible: become the default AI infrastructure for enterprise.

Why Coding?

Because developers pay. Consistently. At scale.

GitHub Copilot (powered by OpenAI) is already printing money for Microsoft. Cursor, Replit, and dozens of AI coding tools are built on OpenAI’s API. Enterprises are paying $30-60/user/month for AI-assisted coding.

That’s a $50 billion market by 2028. And OpenAI is positioned to capture a massive chunk of it.

Compare that to Sora: even if they charged $20/month for video generation (lol at that retention rate), they’d need 2.5 million paying users to match what a single enterprise coding contract brings in.

Why Enterprise?

Because enterprise customers have budgets.

Consumer AI is a race to zero. ChatGPT Plus ($20/month) competes with free tiers from Google, Microsoft, Anthropic, and a dozen open-source models. Switching costs are low. Churn is high. Margins are terrible.

Enterprise? Contracts. Multi-year deals. Integration budgets. Training programs. The kind of revenue that makes CFOs smile.

A single Fortune 500 company will pay more for an enterprise ChatGPT deployment than 100,000 consumer subscribers.

Why This Matters

If you’re not OpenAI, you might be thinking “cool, doesn’t affect me.”

Wrong. This shift affects everyone in AI:

For Developers

Good news: OpenAI is going all-in on coding tools. Expect better APIs, faster models, and tighter integrations with dev environments.

Bad news: They’re going to squeeze out the competition. Cursor, Codeium, Tabnine — any coding tool not built on OpenAI’s models will struggle to compete on price.

For Enterprises

Good news: OpenAI will finally focus on enterprise features (compliance, security, private deployments, SLAs).

Bad news: Expect price hikes. Once they’re the entrenched vendor, those “introductory” rates are going up.

For Consumers

Good news: ChatGPT will keep improving (it’s the funnel for enterprise deals).

Bad news: All the fun side projects (Sora, gadgets, browsers) are now low-priority. Expect slower innovation on consumer features.

For Competitors

Good news: OpenAI just vacated entire markets (video generation, browsers, hardware). Grab share while you can.

Bad news: They’re laser-focused on the most profitable segments. Good luck competing there.

What You Should Do

Depending on where you sit, here’s the playbook:

If you’re building on OpenAI

Diversify your model dependencies NOW. OpenAI is optimizing for enterprise, which means consumer API pricing will either:

  1. Increase (to subsidize enterprise deals)
  2. Stay low but sacrifice features/quality

Hedge with Anthropic, Google, or open models.

If you work in enterprise AI

This is your moment. OpenAI is coming for your budget. If you’re evaluating AI vendors, use this leverage: OpenAI needs you more than you need them. Negotiate hard. Demand custom SLAs, private instances, data guarantees.

If you’re a startup in AI video/hardware/browsers

Congrats, you just got a gift. OpenAI withdrew from your market. This is your window. Move fast. Raise money. Grab talent. In 12-18 months, when OpenAI realizes they can’t ignore these markets forever, you’ll either be acquired or have enough traction to compete.

If you’re a consumer

Lower your expectations. OpenAI isn’t building for you anymore. They’ll keep ChatGPT shiny enough to drive enterprise sales, but the bleeding-edge experiments are going to enterprise customers first.

Want access to the good stuff? Join an enterprise with an OpenAI contract.

The Counterargument

Okay, I’ve been harsh. Let’s steel-man the opposition.

Maybe OpenAI is making a mistake. Here’s the best case against focus:

Innovation Happens on the Edges

Google dominated search by being really good at search. But they missed social (Facebook), mobile (Apple/iOS), short-form video (TikTok), and AI chat (OpenAI). Why? They focused too narrowly on their core business.

By killing side quests, OpenAI might miss the next big thing. What if AR glasses are the future interface for AI? What if browsers become the new OS? What if video generation unlocks a trillion-dollar market nobody anticipated?

My response: Fair point. But OpenAI isn’t Google in 2010 with infinite cash and no competition. They’re burning billions on compute, fighting lawsuits, and competing with Microsoft (partner AND competitor), Google (infinite resources), and Anthropic (better models on some benchmarks).

They don’t have the luxury of dabbling. They need to win somewhere before they can afford to experiment everywhere.

Talent Retention

Engineers don’t join OpenAI to build enterprise SaaS dashboards. They join to work on Sora. On Atlas. On the future.

If OpenAI becomes “just another enterprise AI vendor,” they’ll lose top talent to Anthropic, Google DeepMind, or the next shiny startup promising AGI by 2028.

My response: Also fair. But talent follows two things:

  1. Impact (am I changing the world?)
  2. Equity (will this make me rich?)

Enterprise SaaS might be boring, but it’s profitable. And profit = IPO = liquidity. Engineers who joined OpenAI in 2020 have paper wealth. They want it to become real wealth.

Besides, enterprise doesn’t mean no innovation. GitHub Copilot is enterprise. It’s also incredible. You can build groundbreaking products for businesses.

Final Thoughts

OpenAI’s shift isn’t sexy. It’s not exciting. It won’t generate viral demos or TikTok hype.

But it’s correct.

Every successful tech company goes through this phase:

  1. Experimentation (try everything, break things)
  2. Focus (pick battles, cut losers)
  3. Domination (own your market, print money)
  4. Diversification (now you can afford side quests)

Google did it. Amazon did it. Microsoft did it.

OpenAI is on step 2. They’re choosing coding and enterprise as their battle. Smart.

The companies that stay in step 1 forever (looking at you, every “AI research lab” with no revenue) either:

OpenAI chose option three: survive, dominate, then experiment.

Is it the bold, visionary, “let’s change the world” strategy? No.

Is it the correct strategy for a company that wants to exist in 2030? Absolutely.

What Most People Get Wrong

“OpenAI is becoming boring.”

No. OpenAI is becoming strategic. Boring is safe. Strategy is disciplined. There’s a difference.

“They’re abandoning innovation.”

Coding assistants that write entire codebases in seconds is innovation. Enterprise AI that automates entire departments is innovation. It’s just not flashy innovation.

“Microsoft is forcing them to be corporate.”

Maybe. Or maybe OpenAI’s leadership looked at the burn rate, the lawsuits, and the competitive landscape and made a math-based decision instead of an ego-based one.

TL;DR

Bottom line: In a world where AI companies are racing to either IPO or bankruptcy, OpenAI chose profitability over hype. That’s not boring. That’s grown-up.

And grown-ups win.