AI Transformation: Key Findings
- The global AI market could reach $4.8 trillion by 2033, rising from $189 billion in 2023.
- 78% of organizations already use AI, but only 21% have redesigned workflows to use it effectively.
- AI’s success now depends on structure, governance, and integration.
- Infinum integrates AI throughout its product lifecycle to help clients move faster, stay aligned, and deliver smarter outcomes.
Artificial intelligence has become the backbone of how industries grow, design, and compete.
In fact, the UN Trade & Development report projects that the global AI market will expand from $189 billion in 2023 to $4.8 trillion by 2033.
The industry’s valuation is expected to be multiplied 25x while its market share quadrupled, making it the single largest driver of the frontier technology economy.
But the benefits are not spread evenly.
Most of the innovation sits in the hands of about 100 companies, mainly in the U.S. and China.
Together, they dominate patents, research, and investment, leaving smaller players searching for ways to participate meaningfully.
🇺🇸 US vs 🇨🇳 China numbers here are unbelievable.
— Rohan Paul (@rohanpaul_ai) October 2, 2025
The US controls the absolute majority of known AI training compute on this planet and continues to build the biggest, most power hungry clusters.
China is spending heavily to close the gap. Recent reporting pegs 2025 AI capital… pic.twitter.com/BcO9ocYhQ1
For design and tech firm Infinum, this divide underscores a key truth.
“AI’s rise is staggering, but the real story is what happens after the investment,” Chris Bradshaw, product strategy director at Infinum, told DesignRush.
“Growth on paper means little unless companies learn how to build systems, teams, and habits that make AI part of their everyday work.”
This gap between ambition and execution is where the next wave of competition begins, separating companies experimenting with AI from those actually building around it.
The Reality Behind AI Adoption
McKinsey’s latest “State of AI” report shows that while global AI adoption has surged, maturity still lags behind.
- 78% of companies use AI in at least one business function.
- 71% work with generative AI tools.
- Only 1% of executives describe their AI programs as mature.
- 21% have redesigned workflows around AI.
- Fewer than 20% track measurable outcomes.
Nearly every company is investing in AI, but only 1% have fully unlocked its potential. Employees are eager to embrace it—so what’s missing?
— McKinsey & Company (@McKinsey) March 15, 2025
Discover how organizations can empower their people to maximize AI’s impact in our latest report. https://t.co/E0JG4tiJCspic.twitter.com/E0AuREtVhR
The result is a landscape full of pilots that are short on integration.
Larger organizations, especially those earning more than $500 million annually, are taking the lead in AI adoption.
They are centralizing governance, hiring specialists in ethics and data, and creating dedicated systems for oversight.
Smaller companies, meanwhile, risk falling behind by treating AI as an isolated experiment instead of part of everyday operations.
Infinum’s View: AI Where It Matters
According to Infinum, a company specializing in digital solutions, the most meaningful gains appear where AI meets real work and leadership drives its use.
- Speed: Automated research and prototyping have cut delivery times by up to 40%.
- Insight: AI-driven analytics help teams make faster, more confident decisions.
- Alignment: Shared systems link design, engineering, and product strategy, reducing friction and wasted effort.
- Leadership: Clear direction and accountability ensure AI supports people, not the other way around.
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“AI gives teams clarity. It connects ideas to execution, but it still takes people, leaders in particular, to shape how that clarity gets used,” Bradshaw explained.
He added that the real advantage appears when teams learn to trust both the technology and each other, turning AI from a set of tools into a shared way of working.
Ultimately, it’s all about creating the conditions where innovation can actually stick.
Making AI Spending Count
UNCTAD’s $4.8 trillion projection sets the stage for the next decade.
To capture value from this scale, product teams should focus on process, not volume.
1. Start with measurable goals.
Define success before building. AI only works when it serves a clear outcome, such as faster delivery or lower cost.
2. Keep governance visible.
Leadership involvement ensures accountability and alignment across teams.
3. Target friction points.
Use AI to simplify complex or repetitive work, freeing time for higher-level decisions.
4. Protect quality with human review.
AI performs best when balanced by human oversight that preserves creativity and context.
These fundamentals separate high-performing teams from those that burn through budgets without impact.
Healthcare leaders are moving fast on generative AI, and many are already seeing results.
— McKinsey & Company (@McKinsey) April 20, 2025
Two-thirds of organizations with implemented use cases report positive ROI, with even more potential ahead.
See what’s driving adoption. ➡️ https://t.co/TLl4FCBix7pic.twitter.com/RgFF91hSKc
At Infinum, this philosophy shapes how AI is built into every part of product delivery.
The company’s AI and data engineering teams integrate machine learning across research, design, development, and testing, creating systems that work faster but stay reliable.
The focus is on structure, embedding vetted tools, clear standards, and constant skill-building so that every team knows when and how to use AI effectively.
“This integration is our strategic investment in long-term relevance,” says Nikola Kapraljević, CEO of Infinum. “Tomorrow’s clients won’t be asking if their partners use AI, they’ll expect it.”
“They want future-ready partners, not outdated processes.”
Teams that approach AI with clarity and accountability will be the ones turning technology into meaningful progress.
Where AI’s Future Is Decided
Both global data and Infinum’s own experience send the same message.
Regardless of how much AI spending is happening, structure is the determining factor as to who wins with it.
“The question isn’t whether AI will shape the future. It’s who can make it work every single day,” Bradshaw said.
The $4.8 trillion market shows just how big the push is for teams to treat AI as essential to their creative, testing, and delivery processes.
And mastering this balance will define what your progress looks like in the decade ahead.
Meanwhile, Infinum continues to expand its role in shaping this future through new strategic collaborations, including its recent move to join the Microsoft AI Partner Tier.
