Starbucks Taps AI to Build Its Own Microsoft and IBM Replacements

Starbucks is using AI to build in-house replacements for the Microsoft and IBM enterprise software at the core of its coffeehouse operations, with some of the new applications set to roll out by the end of next year, Bloomberg reported on July 9, 2026. Both vendors’ shares fell during premarket trading on Thursday, with Microsoft down about 1.5% and IBM sinking 4%.

Microsoft’s inventory tracking software, IBM’s maintenance management tool, and Oracle’s Simphony point-of-sale system are all on Starbucks’ in-house target list. Spokespeople for the three vendors did not respond to comment requests. The shift sits inside a broader cost reset under CEO Brian Niccol, where the chain spends about $400 million a year on software and is working toward $2 billion in overall cuts.

The Systems Starbucks Is Replacing

Bloomberg’s July 9 report covers the systems the chain is rebuilding first. The Microsoft product tracks inventory across thousands of North American stores. The IBM software runs maintenance on the espresso machines and grinders that turn out 4,000 drinks a day. Both fall under the AI build effort that could ship some in-house replacements by the end of next year, pending the results of testing.

The targets are not minor line items. The AI build covers some of the most operational software in the chain, and the company is also reviewing “every contract and service,” according to the presentation. In some cases, that means building products to replace software its engineers already have to heavily tailor anyway, a clear signal of where in-house build is expected to pay off fastest.

A point-of-sale replacement is already in motion. Starbucks has been working for several years on its own system that would take the place of Oracle Simphony, according to people familiar with the matter who were not authorized to speak publicly. The new AI build plans lean on the same internal engineering map.

A $400 Million Software Bill, a $2 Billion Cost Target

The numbers behind the move are unusually concrete. Starbucks’ chief technology officer Anand Varadarajan told workers earlier in 2026 that the chain spends about $400 million a year on software alone. “There’s clear opportunities to reduce the spend in software,” Varadarajan said, according to a recording of the meeting reviewed by Bloomberg News. In a blog post earlier in the year, Starbucks said AI and other technology advances would support its long-term growth and free up baristas to focus more on customer service.

The $2 billion is the wider reset. The cost cut sits inside a broader turnaround effort now under CEO Brian Niccol’s leadership. Varadarajan joined Starbucks as CTO on January 19, 2026, after a 19-year run at Amazon leading technology and supply chain for the Worldwide Grocery Stores business.

How AI Cuts the Build Cost

AI-assisted coding is the wedge. The internal presentation said AI-assisted coding was key to developing the platform that could replace the IBM tool. Starbucks has also pushed tech workers to use artificial intelligence, even factoring usage into their bonuses.

The bet is that small in-house teams can replace large vendor contracts in a fraction of the prior build time. For years, companies sat on their enterprise software contracts partly out of fear of business disruption and partly out of pure build cost. AI is now eroding that logic from both sides. Coding tools are accelerating build cycles inside the same engineering groups.

The disruption sits inside a broader repricing of enterprise software. Leading software companies face mounting concerns about whether they will be able to fend off competition from products built by upstarts, or their own customers, using AI. That pressure has already weighed on software stocks in 2026, with both Microsoft and IBM trailing the S&P 500 year-to-date. Starbucks put a household name on a question the market had been trading for months.

Microsoft and IBM have heard the question before. Both run long-running enterprise-software businesses and have started publishing AI-coding features of their own. The risk is that customers now have a credible second option at a moment when vendor pricing power is already under pressure. That pressure shows up elsewhere, too. Internal budget discipline around AI token spend has been tightening the same year, covered in the AI cost war overtaking the adoption race.

Where the Savings Land This Year

The enterprise tech division is already mid-execution. The team is on track to reduce its budget by about $30 million in the fiscal year ending in late September, according to the internal presentation. That figure includes about $10 million in lower software spending and another $13 million saved mostly by cutting back on contractors from professional services firms and backfilling some roles with in-house staff.

The reorganization reaches beyond software. Starbucks is setting up offices in Nashville and India that will house some tech workers, while others stay at the Seattle headquarters. The company has cut about 2,300 jobs since February of last year, including many in tech.

The bet is that in-house engineering plus AI coding tools can absorb work that used to flow to external consultancies. The fastest read for rivals will come from the in-year numbers. Hit the $30 million target and the in-year results buy headroom for further in-house buildouts next year.

• $400 million: Starbucks’ annual software spend (per CTO Anand Varadarajan, via Bloomberg)
• $30 million: Enterprise tech team budget cut for the fiscal year ending late September
• $10 million: Software spend reduction expected inside that $30 million
• $13 million: Contractor cuts expected inside that $30 million
• 2,300: Jobs cut since February of last year, including many in tech

Microsoft and IBM in the Market

Wall Street read the headline fast. Shares of both Microsoft and IBM fell during premarket trading on Thursday July 9, with Microsoft down about 1.5% and IBM sinking 4%. The Bloomberg report was followed by a wider software sell-off as traders weighed how many other large customers could follow Starbucks’ path. The framing echoed a Microsoft push in the other direction, with the vendor’s $2.5 billion bet on embedding AI engineers inside customers.

Microsoft, IBM, and Oracle all declined to comment on the report, leaving investors to read the premarket moves as the public reaction. The single-name drop looks like the visible piece of a deeper question about the durability of the underlying contract base. Both Microsoft and IBM have spent the year trailing the S&P 500 over the same worry. The simplest read of the Starbucks move is that AI coding makes in-house replacement cost-effective at a new price point. That read will be tested at each company’s next quarterly disclosure on its enterprise-software book.

The Soft Spot in Starbucks’ Own AI Track Record

Starbucks has retracted an AI deployment before. Earlier this year, the company pulled the plug on an AI inventory pilot it had rolled out nine months earlier. The tool was meant to fix the persistent product shortages that CEO Brian Niccol has blamed for hurting same-store sales.

The system never quite worked as advertised. The automated counting app frequently miscounted and mislabeled items, Reuters reported in February 2026, confusing similar milk types and missing them altogether. A Starbucks video at the time showed the tool failing to recognize a peppermint syrup bottle on the shelf as it counted the bottles next to it. The tool had been deployed for daily inventory counts in North America, Reuters said, citing two people with direct knowledge of the situation.

The internal communication was final. The Monday May 18 newsletter sent a clear signal across North American coffeehouses, ending the program nine months after rollout. In a statement to Reuters, Starbucks said the termination came from a decision to “standardize how inventory is counted across coffeehouses as we continue to focus on consistency and execution at scale.”

Starting today, Automated Counting will be retired. Beverage components and milk will now be counted the same way you count other inventory categories in your coffeehouse.

Starbucks internal newsletter, May 18, 2026, as reviewed by Reuters and verified with two employees.

That pulled pilot sits inside the same AI-build conversation. The chain is putting AI at the centre of its enterprise-software reset, with execution risk that the inventory system already showed in plain view.

The Broader Read for Enterprise Software

Two reads of the Bloomberg report sit side by side. The first is that one enterprise customer is replacing three contracts, a single-name event with limited read-across. The second is that AI coding tools now let any large operator with a software bill the size of Starbucks’ stand up replacements faster than the vendor sales cycle can push back. The market reaction on July 9 looked more like the second take, given how broad the software sell-off went on the headline.

Starbucks has put concrete numbers on the test. The chain is heading into the second half of fiscal 2026 with $30 million already coming out of the enterprise-tech budget and another $2 billion in cost cuts still to go. Each AI-built tool that ships next year will be measured against the system it replaced, both inside the chain and across the rest of the enterprise-software customer base.