Smbs Can Thrive With AI, but Strategy is Key for Success
WHO:
Fast Company - Amit Bajaj, president of Tata Consultancy Services (TCS)
Fast Company - Executives from Mastercard, E.l.f. Beauty, Autodesk, and other companies
WHAT:
Fast Company - Only 13% of surveyed companies have a "mission-critical" AI system, meaning AI is integral to their process and success.
Fast Company - 18% of companies that attempted AI deployment rolled back due to performance risk or adoption failure.
Fast Company - 91% of marketers are using AI daily, yet fewer than half report significant improvements in outcomes.
Fast Company - 70% of leading companies use multiple mission-critical AI systems across production, allowing them to generate significant business value.
Fast Company - 30% of leaders and 36% of companies overall cite data quality, governance, or infrastructure limitations as their largest barrier to AI adoption.
Fast Company - 82% of leading companies measure revenue growth from AI-enabled products or services, compared to 51% of companies overall.
Fast Company - E.l.f. Beauty uses AI to ensure adequate inventory when products go viral.
Fast Company - Canva defines its AI-powered success as being able to do the work of a bigger organization with the same staff.
Fast Company - Only about 7% of companies are generating measurable value from artificial intelligence.
Fast Company - 23% of companies are scaling AI with moderate returns, 23% are piloting AI initiatives that haven't scaled, 21% are in early stages of experimenting with AI, and 18% are not using it yet.
Fast Company - 8% of companies have paused or abandoned AI initiatives after starting them.
Fast Company - 39% of companies report a clear return on investment (ROI) as a top challenge in becoming AI-native.
Fast Company - 70% of leading companies use multiple mission-critical AI systems across production.
Fast Company - 26% of companies have no structured human and AI collaboration model.
Fast Company - 28% of companies reported insufficient AI skills as the biggest barrier to AI deployment.
Fast Company - 82% of leading companies measure revenue growth from AI-enabled products or services, compared to 51% of companies overall.
Fast Company - Mastercard improved its prevention of fraudulent transactions by 300% using AI tools.
WHY:
Fast Company - Companies using AI merely as a tool are falling behind; transformative use requires a comprehensive approach.
Fast Company - Bad data leads to poorly functioning AI models, making data quality a significant barrier to AI adoption.
HOW:
Fast Company - Companies that are successful with AI have a structured AI and human collaboration model, while 26% of companies lack this structure.
Fast Company - Leading companies provide a majority or all employees access to AI, compared to 39% for companies overall.
Fast Company - Companies that are successful with AI have a defined mission around AI, with only 13% having a "mission-critical" system.
Fast Company - Leading companies are reengineering their entire workflow to gain significant value from AI.
Fast Company - Mastercard provides every employee with a Copilot subscription and implements hands-on training for AI fluency.
Fast Company - Autodesk has committed $350 million over the next three years to provide technology, training, and certifications for AI-powered jobs.
(UPDATED September 21, 2026 17:59 UTC)
A recent survey reveals that only 13% of companies have integrated AI as a "mission-critical" component of their operations, while 18% of those that attempted to deploy AI have since rolled back their efforts due to performance risks or adoption failures. Despite 91% of marketers using AI on a daily basis, fewer than half report seeing significant improvements in their outcomes, highlighting a gap in effectiveness. On the other hand, 70% of leading companies leverage multiple mission-critical AI systems across their production processes, and those that succeed typically have a structured model for collaboration between AI and human teams, a structure that 26% of companies currently lack.
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(UPDATED September 21, 2026 15:58 UTC)
A recent report from Fast Company reveals that 30% of leaders and 36% of companies identify data quality, governance, or infrastructure limitations as the biggest hurdles to adopting AI. In contrast, 82% of leading companies report measuring revenue growth from AI-enabled products or services, while only 51% of companies overall can say the same. Notably, companies like E.l.f. Beauty leverage AI to manage inventory during viral trends, and Canva highlights its AI success by achieving the output of a larger organization with the same number of staff.
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(UPDATED September 21, 2026 15:02 UTC)
A recent report reveals that only about 7% of companies are generating measurable value from artificial intelligence, while 39% cite a clear return on investment as a top challenge in becoming AI-native. Leading companies like Mastercard and Autodesk are taking significant steps to enhance their AI capabilities, with Mastercard reporting a 300% improvement in fraud prevention through AI tools and committing to comprehensive training for its employees. The findings underscore that companies using AI merely as a tool are falling behind, as a transformative approach requires a well-defined mission and high-quality data to succeed.