Uber AI Spending: "Justification Is Getting Harder"

Uber AI Spending: "Justification Is Getting Harder"

📅 May 26, 2026 | 🏷️ AI, Business, Technology | ✍️ SiTech Team

Uber president and COO Andrew Macdonald recently stated that the company's artificial intelligence investments are getting "harder and harder to justify." The statement sent ripples through the tech world, especially against the backdrop of the world's largest companies spending billions on AI.

In an interview with Rapid Response, Macdonald noted that the company cannot see a clear connection between rising AI token consumption — particularly for Claude Code — and the real value delivered to users. Uber spent $3.4 billion on research and development in 2025, a 9% increase year-over-year.

At SiTech, we closely follow these trends because we believe these lessons matter for small businesses too. AI investment isn't just for large corporations — Georgian SMEs also need to understand how to measure AI effectiveness.

💰 $3.4 Billion — An R&D Budget That Ran Out in 4 Months

In 2025, Uber spent $3.4 billion on R&D — 9% more than in 2024. But the most shocking revelation is that the company exhausted its entire 2026 annual AI budget in just 4 months. Imagine: the AI-allocated portion of a $3.4 billion budget was already gone by April.

Uber CEO Dara Khosrowshahi stated that the company offsets rising AI investments by hiring fewer humans. This trend is noteworthy — AI can replace jobs, but at what cost? And what happens when AI costs grow faster than its benefits?

According to Macdonald: "We're going to have to start to have a conversation around token consumption and the cost associated with it, and headcount."

📊 "The Connection Doesn't Exist Yet"

One of Macdonald's most significant statements: "The connection between token consumption and delivering more value to the consumer doesn't exist yet... It's really hard to draw a line between one statistic and, 'OK, we're now actually producing 25% more useful features for the consumer.'"

This is especially notable because Uber has been one of the most aggressive AI adopters in recent years. The company uses AI for driver route optimization, dynamic pricing models, customer support automation, and much more.

Macdonald suggests that in future quarters and years this connection may become clearer, but for now it is "difficult" to see, even as some core metrics grow at "truly astronomical" rates.

🤖 AI vs. Human Labor — A Trade-Off That Matters

Uber CEO Dara Khosrowshahi previously stated that the company offsets rising AI investments by hiring fewer people. This raises an important question: when does investing in AI become more effective than hiring humans?

According to Macdonald: "If you're not able to draw a direct line to how many useful features and capabilities you're shipping to your consumers, that trade becomes harder to justify."

This question is especially relevant for Georgian businesses. At SiTech, we often see clients viewing AI as a "magic wand" that will solve all problems. In reality, AI adoption requires:

• Clearly defined goals
• Measurable metrics
• Realistic expectations
• Gradual integration

🌍 What This Means for Georgian Businesses

Uber's experience shows that investing in AI does not automatically mean better results. For small businesses this is even more critical, as their budgets are limited. If Uber, with its $3.4 billion R&D budget, struggles to prove AI's effectiveness, what should small businesses expect?

At SiTech, we recommend:

• Start small — don't adopt AI until you have a clear goal
• Measure effectiveness — AI success must be measured with concrete metrics
• Human + AI — the best results come from combining human expertise with AI
• Don't chase trends — just because AI is "trendy" doesn't mean it's right for you

🔮 Challenges and Prospects

Uber's case clearly demonstrates that the AI world still has many challenges. Astronomical growth in token consumption does not automatically translate to increased productivity or customer satisfaction.

Macdonald's comments are particularly interesting given that Uber uses Anthropic's Claude Code — one of the most expensive AI coding assistants on the market. For a company traditionally known for data management and operational optimization, such an admission is a signal to the entire industry: AI costs must be controlled as strictly as any other business expense.

However, this does not mean AI investment is pointless. On the contrary — companies that strategically deploy AI with measurable goals will gain significant competitive advantages. Uber's message is not "AI doesn't work" — but rather "AI effectiveness must be measured just like any other business investment."

📉 A Lesson for Every Business

Uber's lesson is relevant not only for large corporations but for businesses of all sizes. In Georgia, where digital transformation is accelerating, many companies rush to adopt AI without a clear strategy. Uber's case warns us: don't invest in technology just because everyone else is doing it.

At SiTech, we believe AI is a tool, not a goal. Uber's lesson reminds us that technology should serve business objectives, not the other way around. For Georgian businesses, this means AI adoption must be thoughtful, gradual, and measurable.

Remember: even with a $3.4 billion budget, pouring money into AI doesn't guarantee automatic success. What matters is the right strategy, the right metrics, and the right expectations. SiTech helps you develop the right AI strategy that delivers real results.

📖 Read the original article on The Verge