The Innovation Paradox

 

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Enterprise AI readiness report
The Innovation Paradox

How legacy technology, maintenance burden and provider dependence are shaping enterprise AI readiness, and what it takes to move AI from pilot to production.

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1,250enterprise leaders surveyed
4industry spotlights
Oct 2026Google Cloud research
The Innovation Paradox report cover

3Key findings inside✓Free download

Brought to you by Wursta, with research from our partner Google Cloud, for IT and business leaders scaling enterprise AI.

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See what’s keeping enterprise AI stuck in pilot mode, and what leaders are doing to build a foundation ready for AI at scale.

  • The three forces shaping AI readiness: legacy tech debt, the “patch tax” and provider dependence
  • Survey data from 1,250 U.S. enterprise IT and business decision-makers
  • Industry spotlights on Financial Services, Healthcare, Retail & CPG and Legal Services
  • First-hand perspectives from CISOs, IT directors and data leaders

The Innovation ParadoxGoogle Cloud research · October 2026

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The paradox

Investing in AI, but held back by the systems meant to deliver it?

Many organizations are trapped in the Innovation Paradox: investing heavily in AI but struggling to move beyond pilots into scalable production. Google Cloud and Hypothesis Group surveyed 1,250 U.S. enterprise IT and business decision-makers to understand how existing technology environments shape an organization’s ability to operationalize AI.

The answer: layering AI onto fragmented systems and aging architectures compounds tech debt rather than solving it. Organizations are paying an escalating maintenance tax while racing to scale AI without the data readiness, architectural freedom or governance foundations it requires.

Legacy software meant to deliver AI often functions as an innovation tax, muzzling the very AI leaders count on to transform their businesses. The main finding

Industry spotlights

How the paradox plays out by industry

The report takes a closer look at four priority industries, each facing its own version of the legacy-versus-AI tradeoff.

  • Financial Services

    AI is scaling fast. Control has to keep up.

  • Healthcare

    AI cost pressures on razor-thin margins.

  • Retail & CPG

    The AI race is colliding with the legacy tax.

  • Legal Services

    Moving fastest on AI, and hitting the sharpest constraints.

Inside the report

The numbers behind the paradox

Legacy tech debt blocks AI progress. Maintenance is starving innovation. Provider choice shapes AI freedom.

  1. 75%

    agree existing software limits their ability to take full advantage of AI

    Legacy tech debt

  2. 83%

    say modernizing the tech foundation is essential to scaling AI

    Modernization

  3. 78%

    say tech maintenance diverts resources away from AI

    The patch tax

  4. 48%

    believe their tech stack is ready to deploy AI at scale without significant new investment

    AI readiness

  5. 97%

    say relying on on-prem software has negatively impacted the business

    Business impact

  6. 80%

    agree a provider’s installed base should not determine which AI they use

    Provider choice

  7. 76%

    agree that dependence on a single provider can increase cybersecurity risk

    Security risk

Is legacy tech holding your AI back?

Wursta helps you implement Google Cloud’s advanced AI infrastructure, streamline deployment and build a unified, secure foundation to take AI from pilot to production. We don’t ship tools. We ship outcomes.

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