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Voice of AI: 80 billion are being invested in AI. Most companies aren't seeing any of it.

Berkshire Hathaway, for decades the most prominent skeptic of expensive tech bets, poured $10 billion into Alphabet's AI offensive this week. SpaceX is holding a $60 billion option on a single coding tool. And at the same time, a survey of 2,400 executives shows that only 29 percent see a real return on their AI investments. Both scenarios are simultaneously accurate. This very discrepancy is what makes 2026 so uncomfortable.

To succeed in this environment, you don't need a big gamble, but solid answers to three questions: Where do we really stand? Which levers actually save money? And can we prove that our people know what they're doing? We've built something to help with that.


AI strategy. Reliable. Three tools, deterministic and industry-specific, instead of gut feeling and hype.



  • AI Readiness measures your AI maturity across six dimensions and provides a concrete 30/60/90-day roadmap.

  • AI Sourcing calculates realistic savings in euros for each function, using three scenarios and a recommended delivery mix.

  • AI Competency provides the auditable proof of competence required by Article 4 of the EU AI Act from August onwards, with a verifiable certificate.


Made in Munich, hosted in the EU, GDPR compliant. All tools can be started for free. This week's figures explain why that matters right now.



Big money has decided

Alphabet is currently raising $80 billion through a series of equity issuances solely to finance its growing AI spending. The fact that Warren Buffett's Berkshire Hathaway is contributing $10 billion is more than just a headline. It's a signal: AI infrastructure has reached the status of a serious asset class.


If 10 billion is just the entry ticket

SpaceX demonstrates how far this logic can go. Shortly before its IPO on June 12, the company secured an option to acquire the AI coding tool Cursor for $60 billion. The real leverage lies in the fine print: If the purchase falls through, SpaceX will still pay $10 billion, solely for the collaboration. This isn't an investment in the traditional sense. This is strategic positioning at almost any cost.


The other truth: there is no return.

As determined as the capital flows at the top, the situation within companies is sobering. 59 percent invest over one million dollars annually in AI, yet only 29 percent see a significant return. Even more troubling is a second figure from the same study: 75 percent of executives admit that their AI strategy serves more to enhance public image than to actually manage operations. Forrester therefore expects that around a quarter of the AI budgets planned for 2026 will be postponed until 2027.


It's not the technology that's the problem, it's the implementation.

The most revealing statistic is often overlooked. Vendor-led AI projects succeed in two out of three cases, while internally built solutions only succeed in about a third. AI rarely fails due to the model itself. It fails due to a lack of strategy, unclear levers, and teams that don't know how to use the tool. This is precisely where AI Readiness and AI Sourcing come in, using data instead of gut feeling.


The date that many underestimate

Above all this looms a date that many are still ignoring. On August 2, 2026, national supervisory authorities will receive the formal powers to enforce Article 4 of the EU AI Act. The obligation for employees to demonstrate AI competence has formally been in effect since February 2025; from August onward, it will be verifiable and subject to sanctions. For companies without high-risk systems, this is even the only foreseeable enforceable obligation within the entire regulatory framework. Those who cannot provide proof will fall under the scope of regulatory measures. AI Competency provides precisely this proof, auditable and verifiable.



📌 Key messages

  • Alphabet raises $80 billion for AI, with Berkshire contributing $10 billion.

  • SpaceX is paying $10 billion for the Cursor collaboration alone; IPO is on June 12.

  • Only 29 percent of companies see a significant AI ROI, despite millions in investments.

  • Vendor-managed projects are twice as successful as in-house projects.

  • Article 4 of the EU AI Act will be enforceable by authorities from 2 August 2026.


Sources


Conclusion

At the macro level, billions are invested in models and tools. At the micro level, something else determines success: clarity about one's own position, about the real cost-saving levers, and about the competence within the team. Those who have a firm grasp on these three points benefit from the industry's capital instead of being caught in the next market correction.

See where you stand in twenty minutes: readiness.oakai.de

Questions about classification or the next step? Write to us: info@oakai.de


The future is not a matter of chance. It is a choice.



 
 
 

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