AI Business Summaries: What CEOs Need to Know

Welcome to AI Business Summaries, where we break down the most important trends and news shaping the Business AI world.

Here’s the hottest AI news today!

But before you continue, check out ListKit for a done-for-you, automated system to close your next 20+ clients! 

1. Salesforce CEO Calls Out Big Tech for “Wasting” Billions on AI

Salesforce CEO Marc Benioff is calling out Microsoft and other big companies for spending billions on AI without clear results.

Microsoft, Amazon, and Google have poured over $100 billion into AI data centers, betting big on the future. But Benioff isn’t convinced it’s paying off. Instead, he believes companies should focus on making the most of what they already have before spending more. And claimed his company, Salesforce, is taking a leaner approach, using AI in a way that’s smarter, not just bigger.

At the same time, Salesforce reported $9.99 billion in revenue last quarter, slightly less than expected. This caused a 5% drop in its stock price, adding pressure on Benioff to prove his strategy is working.

This is not the first time Benioff will take a shot at Microsoft so Microsoft calls his Anti-Microsoft approach a marketing strategy.

That aside, what does this raised concern mean for your business?

AI is expensive, and throwing money at it doesn’t guarantee success. Businesses need to ask; Are we investing in AI the right way, or just following the trend? 

Companies that find cost-effective AI solutions will likely have the advantage in the long run.

2. China’s AI Chip Boom Could Change Who Controls the Market

China is making serious progress in AI chip production, and it could reshape the industry.

For years, U.S. companies like Nvidia and AMD have dominated the AI chip market. China relied on them to power its AI technology. 

But now, Huawei has doubled production of its 910C AI chips, making them cheaper and more powerful. If China keeps this up, it won’t need U.S. chips anymore, which could shift the balance of power in AI tech.

For your business, AI chips could get cheaper, which might make AI tools more affordable. 

But if the U.S. puts stricter trade rules in place, getting the best AI hardware might become harder. Businesses using AI should keep an eye on these changes to avoid supply chain surprises.

3. Musk’s AI Could Kill More Jobs Than Expected

Elon Musk is pushing for AI automation harder than anyone else, and if he succeeds, entire industries could change overnight.

Tesla, xAI, and SpaceX are already replacing customer service teams, coders, and even engineers with AI. Musk has openly said that AI will make a lot of human jobs unnecessary.

This has raised public concern, with 52% of American workers fearing that AI could lead to fewer job opportunities.

For your business, this means that AI is becoming a bigger part of daily work, and companies are finding ways to use it efficiently.

Businesses that integrate AI into their processes now may boost productivity and reduce costs, while those that wait could struggle to keep up..

4. Nvidia Is Still Leading AI Chips But Can It Stay on Top?

Nvidia just made $39.3 billion in revenue, showing that demand for its AI chips is still massive. But competition is rising, especially from China’s DeepSeek AI.

DeepSeek is developing AI models that don’t rely on Nvidia’s GPUs, which means Nvidia could lose some of its control over the market. If DeepSeek succeeds, businesses might have cheaper alternatives for AI computing, forcing Nvidia to fight harder to keep its lead.

More competition in AI chips could mean lower prices and better options for businesses investing in AI. But companies that rely on Nvidia’s technology should be aware that changes in the industry could affect pricing and supply in the near future.

6. Big Tech Is Spending Billions on AI But Workers Aren’t Using It

   

Unbelievable? Yes, till we saw the stats! 

Companies are pouring billions into AI tools, but a big problem is emerging, most employees aren’t using them. (Business Insider)

A new survey found that:

• Only 1 in 6 workers use AI at work.

• 63% rarely or never use AI.

• 17% don’t even know if their company has AI tools.

Businesses are investing in AI, but if employees don’t understand or trust it, that money isn’t being used effectively.

For businesses, AI only works if people actually use it. Companies need to focus on training and adoption, not just buying AI tools. The businesses that make AI easy for their teams to use will get ahead, while those that ignore adoption will waste money.

To Sum It All Up:

• Salesforce’s CEO thinks Big Tech is spending too much on AI without clear results. While Microsoft thinks His anti-Microsoft approach is a marketing strategy.

• China is making faster, cheaper AI chips, which could shake up the market.

• Elon Musk is using AI to replace more jobs, changing how businesses work.

• Nvidia is still leading in AI chips, but new competitors are catching up.

• Companies are investing in AI, but most workers aren’t using it yet.

Which of the news caught you the most by surprise? And what are your thoughts on these?

Tell us what you think, we’d love to know!