What Investors Should Learn From The AI Repricing

Artificial Intelligence (AI) is rapidly reshaping global equity markets and challenging traditional business models.

However, according to Datt Capital CIO Emanuel Datt, the long-term implications are overwhelmingly positive for companies and investors.

Rather than representing a destructive force, AI is accelerating productivity improvements across multiple sectors. The latest reporting season is already revealing tangible evidence of these changes.

Below are eight insights shaping how investors should think about AI, markets, and long-term opportunities.

Insight 1: AI Is Disrupting Markets

AI is clearly changing the competitive landscape across global markets. The speed at which AI capabilities are advancing has forced many investors to reconsider the sustainability of traditional business models, particularly in technology and software sectors.

However, disruption alone does not determine long-term outcomes. Technological shifts historically create both uncertainty and opportunity.

Emanuel notes that the current narrative around AI is not necessarily pessimistic.

“It’s not all negative. Ultimately, it’s about increasing productivity and efficiency, which is good for company owners and shareholders.” - says Emanuel.

Insight 2: Productivity Gains Are Real

The most compelling evidence supporting the AI productivity narrative is emerging from corporate reporting results.

Companies actively adopting AI tools are already demonstrating measurable improvements in operational efficiency. These improvements are not theoretical. They are appearing in real financial results during the current reporting season.

Insights: Corporate adoption of AI tools is accelerating rapidly. Survey data shows that the share of firms actively using AI has more than doubled since late 2023, highlighting how quickly the technology is moving from experimentation to operational deployment.

“We are already seeing very tangible productivity benefits playing out in real time, especially in the current reporting season.” - says Emanuel

For investors, this suggests that AI adoption is beginning to influence business performance today rather than remaining a distant future trend.

Insight 3: Efficiency Gains Are Expanding

Historically, operational improvements within large organisations were incremental. Productivity improvements were often measured in basis points through gradual optimisation of processes and workflows.

The introduction of AI is changing that dynamic.

Companies are now reporting efficiency improvements measured in percentage points rather than basis points. For large organisations, even small percentage improvements in productivity can materially improve profitability.

This shift highlights how AI has the potential to transform operational efficiency across industries.

Insight 4: Technology Is Being Repriced

The rapid emergence of AI has triggered significant volatility within technology markets. Investors have become concerned that AI may disrupt established software and SaaS business models.

As a result, technology stocks have experienced a significant sell-off in recent months.

However, Emanuel Datt views this repricing as a recalibration rather than a structural deterioration.

“The recent pullback in technology stocks is not evidence of structural weakness but a recalibration.” - says Emanuel.

In many cases, companies are continuing to report strong operational performance despite the negative market reaction.

Insight 5: AI Will Augment Humans

One of the most common concerns surrounding AI is the possibility that automation will replace large segments of the workforce.

While AI-driven efficiency gains may reduce certain roles, the broader economic impact is more likely to resemble previous technological transitions.

“AI-driven efficiency gains may result in workforce reductions in some areas, but this is a broader economic evolution rather than a crisis.” - Emanuel noted.

Historically, technological advancements have shifted the nature of work rather than eliminating economic activity altogether.

Insight 6: Data Is The Real Moat

As AI technology becomes more widely accessible, the competitive advantage will increasingly shift toward companies that control valuable data assets.

AI models themselves may eventually become commoditised as open-source alternatives expand and computing power becomes more accessible.

However, proprietary data remains scarce.

Businesses that generate and control unique data streams will have a significant advantage when deploying AI to improve decision making, optimise operations, and create new services.

"The answer is unambiguous in that value lies in contemporary, proprietary data streams and the high-quality business franchises that control them."- says Emanuel.

Insight 7: AI Benefits Many Industries

While technology companies are the most obvious beneficiaries of AI adoption, productivity gains are emerging across a wide range of sectors.

Financial institutions, logistics companies, and mining operations are already deploying advanced systems to improve operational efficiency.

“Even traditionally bureaucratic sectors such as banking are prime beneficiaries.” - says Emanuel.

In Australia, large resource companies have also been integrating advanced systems to optimise equipment utilisation and operational planning.

Insight 8: Volatility Creates Opportunity

Technological transitions often create uncertainty within markets. When investors struggle to assess the long-term impact of new technologies, volatility typically increases.

However, market volatility can also create investment opportunities.

The recent sell-off in technology stocks has pushed valuations lower even as many companies continue to improve operational performance.

“Parts of the technology sector now represent better value than they have for years.”

For disciplined investors, periods of market uncertainty can present opportunities to acquire high-quality businesses at attractive valuations.

Artificial intelligence represents one of the most significant technological shifts in modern economic history. While the transition is creating short-term uncertainty across markets, the underlying productivity benefits are becoming increasingly visible.

Companies that successfully integrate AI into their operations and leverage proprietary data assets are likely to emerge as the long-term winners.

For investors willing to look beyond short-term narratives, the AI transition may ultimately represent a powerful opportunity rather than a structural threat.

Insight 9: Commercial Power Sits With Technology Platforms

Artificial intelligence relies heavily on physical infrastructure such as data centres and computing hardware. However, the economic power within the AI ecosystem increasingly sits with large technology platforms rather than infrastructure providers.

While data centres remain essential, they are becoming more commoditised as competition grows and global capacity expands. Large technology companies typically hold greater negotiating power, as they control the software platforms, customer relationships, and distribution channels through which AI services are delivered.

This poses an important structural lesson. In many technology cycles, infrastructure providers supply the backbone of innovation, but long term value creation tends to concentrate in companies that control the platforms and ecosystems.