Quantum Sales Pitch Goes From Compute Supremacy to Utility

IBM’s $10 billion quantum bet and CEO Arvind Krishna’s declaration that “the quantum era is no longer ahead of us, it has started” signal a notable industry shift. The June 2 announcement comes two weeks after IBM revealed Anderon, America’s first dedicated quantum chip foundry, backed by a proposed $1 billion CHIPS Act award.

See Also: Reduce Cloud Risk in Healthcare with Security by Default

The move toward chip manufacturing marks a moment the quantum industry has been building toward for years: the shift from announcing milestones to industrializing the technology.

And this change can be seen in the shift in language. “Quantum supremacy,” the phrase that dominated headlines after Google’s 2019 Sycamore announcement, has given way to terms such as “quantum utility,” “commercial quantum advantage” and “quantum-centric supercomputing,” indicating deliberate repositioning by vendors.

As it turned out, the quantum supremacy narrative had a short shelf life. When Google claimed in 2019 that its Sycamore processor completed a specific task in 200 seconds, it set off both excitement and immediate pushback. But the task Sycamore solved had no commercial application. Supremacy was a benchmark, but it never culminated into a product.

Cyril Tan, quantum security architect at SpeQtral, recalled that the practicality of the original demonstration faced immediate challenges. The technology has since moved in more substantive directions with systems becoming more stable, less prone to noise and the range of quantum computing modalities is expanding, Tan said.

He also pointed to China’s parallel momentum, including the release of its quantum operating system Origin Pilot and the Wukong quantum computer for commercial use, as evidence that the competitive landscape has materially changed. Organizations no longer have patience for proofs of concept without a path to enterprise relevance.

IBM’s own road map reflects this shift. A few years ago, quantum companies focused on technical milestones such as qubit counts and quantum supremacy demonstrations that had limited real-world value. IBM is now promoting a different goal: proving that quantum computers can solve commercially useful problems better than classical systems. The company says it aims to achieve this quantum advantage by 2026 and fault-tolerant quantum computing by 2029. To add credibility, IBM has launched a public tracker to measure progress, which sends out the message clearly: Don’t trust our marketing. Measure us. Historically, quantum companies have been criticized for making claims that outsiders can’t independently verify.

IBM’s $10 billion investment and new manufacturing plans are also intended to show that the company is serious about scaling quantum technology beyond the lab and into real-world deployment. That’s a different claim than supremacy.

Meaningful Quantum Milestones?

Not everyone is ready to take the claims at face value. Vishal Saraswat, head of research and innovation at the cybersecurity practice of Bosch Global Software Technologies, said a meaningful milestone will be when quantum systems demonstrate repeatable, verifiable advantage on tasks that map directly to enterprise needs.

These workloads include optimization, chemistry simulation and machine learning performed at a scale and reliably, integration into production environments. That requires transparent benchmarks, reproducible results, software and hardware stacks that work with classical infrastructure, and cost-performance metrics that show a clear economic case, Saraswat said.

Anish Koshy, vice president and information and cybersecurity risk officer at Standard Chartered, said the shift in language also reflects a disconnect between how quantum progress is discussed by vendors and how it is evaluated inside large organizations.

Vendors typically frame quantum computing through the lens of technical achievement including qubit counts, error-correction milestones, quantum advantage demonstrations and industry transformation narratives. But enterprise risk teams evaluate the same developments through a different lens: What is the actual exposure? What is the realistic timeline? What action is justified today? And what is the opportunity cost of acting too early?

The most visible gap, Koshy said, is around time horizons. Vendors often present technical progress as evidence that transformational capabilities are approaching rapidly. Risk leaders, meanwhile, need confidence that a threat or opportunity is relevant within actual planning cycles measured in years, not decades.

The divide is particularly evident in discussions around cryptography. While technical communities focus on whether quantum computers will eventually break RSA or elliptic curve cryptography, enterprise security teams are asking more practical questions: Which systems rely on vulnerable algorithms? How long will migration take? Which business processes depend on them? And what data must remain confidential for decades?

Still, Saraswat cautioned that quantum could follow the path of earlier technology hype cycles. Enterprise buyers often struggle to distinguish genuine breakthroughs from incremental progress, making reproducible benchmarks, third-party validation and measurable business outcomes critical tests of vendor claims.

“Similar dynamics fueled enterprise spending on AI and blockchain well before many organizations had a clear understanding of how to deploy the technologies effectively,” Saraswat said.