The Next Phase of AI: Why the Capital Markets Window Matters Now

The debate over an AI bubble has centred on chips and data centres. For businesses developing AI software, applications, platforms, automation and services, the more important questions are how to finance growth and when to act.

Artificial intelligence is attracting extraordinary investment. Most headlines focus on hyperscalers, frontier model developers and neoclouds building the computing capacity behind the industry. But the AI economy is much broader. It includes software platforms, industry-specific applications, robotics and automation, cybersecurity, data technologies, engineering and managed services.

That distinction matters. The next phase of AI growth will not be measured solely by how many GPUs are purchased or data centres are built. It will also be measured by the revenue, cost savings and operating improvements created by companies throughout the AI value chain.

For established companies operating beyond the hyperscaler and neocloud segments, this creates a timely capital-markets opportunity. A public listing and well-structured financing may provide growth capital and acquisition currency while market interest in AI remains substantial.

The window will not necessarily stay open. That is a reason to act with discipline now, rather than assume the same conditions will be available later.

1. AI investment is still growing—and the opportunity is broadening

According to Gartner’s September 2026 forecast, worldwide AI spending is expected to reach US$2.67 trillion in 2026, up 49.5% from 2025. Gartner projects approximately US$576 billion in AI services spending in 2026, rising to US$746 billion in 2027.

Gartner also anticipates an approximately US$1.2 trillion AI services opportunity by 2030. Its outlook for AI application development platforms was raised to 39% growth for 2026, reflecting continued demand for custom applications.

The shift is already visible among customers. McKinsey’s August 2026 global survey found that 44% of respondents reported scaling AI across their enterprises, up from 38% one year earlier. Nearly nine in ten respondents reported regular AI use in at least one business function.

These are market forecasts and survey results, not revenue guarantees for individual companies. They do, however, point to an expanding commercial market for AI software, applications, enterprise platforms and services beyond the businesses supplying computing infrastructure.

The opportunity is no longer limited to building infrastructure. It includes developing AI products, adapting technology for specific industries, connecting data and systems, automating operations and managing deployed applications.

2. What the AI bubble debate is—and is not—telling investors

There are legitimate concerns about the amount of money being committed to AI infrastructure. They deserve attention, but they should not be confused with a conclusion that enterprise demand for AI is disappearing.

In October, Gartner warned that more than US$3.5 trillion of infrastructure spending could be exposed to impairment risk by 2030 if the current investment pace continues. It also forecast substantial neocloud consolidation. These are conditional forecasts, not realized losses or a prediction that all AI companies will struggle.

The pressures differ across the market. Hyperscalers such as Amazon, Microsoft, Google and Meta are making enormous capital commitments, but have diversified operations. Neoclouds such as CoreWeave and Nebius are more directly exposed to infrastructure financing, GPU utilization and asset depreciation.

Frontier model developers, including OpenAI and Anthropic, face another set of questions: the economics of model development, compute consumption, competition and the durability of their revenue. Semiconductor suppliers such as NVIDIA and AMD are affected by the pace of infrastructure investment.

Beyond infrastructure, AI software, data, cybersecurity, robotics and automation businesses can build value through proprietary technology, products, customer relationships and recurring revenue rather than GPU rental income.

They still face operating, competitive and financing risks. Their prospects should be evaluated on their business models and financial performance, not treated as interchangeable with those of infrastructure owners.

3. The next phase is about delivering financial results

Spending on AI is one thing. Converting that spending into measurable business value is another.

A July 2026 Deloitte Canada survey offers evidence that AI is already delivering measurable benefits. Among 300 surveyed senior Canadian leaders, 90% reported positive productivity impacts from AI over the preceding 12 months. Deloitte also reported that 88% were confident in their ability to measure AI return on investment.

The results are not limited to Canada. McKinsey’s August 2026 global survey found that 80% of respondents reported improved individual productivity from AI and 50% reported better decision-making. In the same survey, 37% attributed at least some effect on operating earnings (EBIT) to AI.

The surveys measure different outcomes and should not be read as proof that every AI investment is profitable. What they show is that businesses are gaining practical benefits while continuing to improve how AI is deployed and measured.

For companies supplying the technology, this creates opportunities across the AI economy. Software developers can build industry-specific applications. Data and cybersecurity firms can support secure deployment. Robotics and automation companies can improve physical operations. Engineering and managed-service businesses can integrate, optimize and maintain AI systems for customers.

The opportunity is to turn expanding AI adoption into repeatable commercial results—and to provide the products and services businesses need to achieve them.

4. What investors may value in the broader AI market

Public-market investors are not likely to reward every business that describes itself as an AI company. They will assess whether its growth can translate into sustainable shareholder value.

Established businesses can make their case through actual revenue, commercial customers, credible expansion opportunities and earnings. Repeatable software products, proprietary tools, subscriptions and contracted services may improve revenue visibility. Companies with a scalable operating model may also require less capital to expand than infrastructure owners.

The financial mix matters. Recurring software, platform or managed-service revenue differs from project consulting, hardware resale or early-stage research and development. Investors will consider margins, growth, intellectual property, customer concentration, cash flow and capital requirements.

The result could be a more differentiated AI investment market: one in which businesses are assessed according to their ability to generate revenue and profit, rather than simply their exposure to a popular technology.

For companies with those characteristics, the investment case can be presented today—not left dependent on distant projections.

5. Opportunities for Canadian AI businesses in public markets

Canada participates in many parts of the AI economy beyond data-centre construction. Businesses are developing software, industry-specific applications, robotics and automation, data platforms, cybersecurity technology, engineering capabilities and managed services.

For some established companies, the question is whether remaining private provides enough capital and flexibility to pursue their growth plans.

A public-market strategy can offer more than financing for a single project. With the right structure and investor support, it can provide capital for staff, product development, sales expansion and acquisitions. Publicly traded shares may also become a form of acquisition consideration, allowing companies to combine complementary capabilities without relying entirely on cash.

That can be important where technical talent, customer relationships, specialized software, intellectual property and distribution capabilities are spread among many businesses.

An IPO, reverse takeover or other listing structure must be assessed against the company’s size, financial condition and objectives. A listing by itself does not guarantee financing or liquidity. The commercial objective is to establish a platform that can support growth.

For management, the relevant question is straightforward: could public capital allow the business to execute its plans faster and on better terms than continuing to fund expansion privately?

6. The capital-markets window is an opportunity, not a permanent condition

Capital markets move in cycles. Investor interest, financing availability and valuations can change well before an underlying industry stops growing.

AI remains a major area of investment, but the growing scrutiny of infrastructure economics is a reminder that the terms available to companies today may not be available indefinitely. Capital also has alternatives. When investors become more selective, smaller issuers can find it harder to obtain growth funding on acceptable terms.

For an AI growth business with credible commercial traction and an expansion strategy, there may be a practical benefit in securing capital while financing opportunities exist. A stronger balance sheet can support product development, hiring, commercial execution and acquisitions even if conditions subsequently tighten.

Waiting has a cost. Commercial opportunities do not necessarily wait for financing. Competitors can win customers, release products, acquire specialist teams and establish strategic partnerships while others remain undercapitalized.

There is no reliable basis to predict that Canadian small-cap AI financing will disappear in exactly 12 months. Nor can any company assume it will receive a favourable valuation simply because it operates in AI. The important point is that management can control when it begins the capital-markets process; it cannot control when investor sentiment changes.

The objective should be to evaluate and pursue a viable financing and listing strategy while there is an opportunity to do so—not after the window has narrowed.

7. Why go public—and why consider it now?

For a growing company, a public listing can be more than a one-time financing transaction. It can establish a capital-markets platform that supports expansion, acquisitions and the company’s longer-term plans.

As outlined on Go Public in Canada’s Why Go Public? page, management should consider the potential benefits to both the business and its shareholders:

Access to growth capital. A listed company can seek equity financing from a broader investor base, including potential subsequent financings to support expansion, product development and entry into new markets. Its ability to raise money will still depend on investor demand and market conditions.

Shares as acquisition currency. Publicly traded shares may be used as part of the consideration when acquiring complementary companies, intellectual property or capabilities. This may preserve cash that can be invested elsewhere in the business, subject to shareholder, exchange and securities-law requirements.

Recruitment and retention. Equity-based incentive arrangements can help companies attract and retain experienced management, engineers and specialized technical personnel while aligning their interests with long-term corporate performance.

Greater visibility and credibility. A stock exchange listing and ongoing disclosure can raise a company’s profile with customers, partners, investors and potential acquisition targets. Visibility is an opportunity to be earned through performance, not a substitute for it.

Potential shareholder liquidity. A public market may provide existing shareholders with a future opportunity to sell some of their holdings, subject to escrow, resale restrictions and actual trading liquidity.

Why timing matters. A company that has secured capital and established an appropriate public-market structure may be better placed to pursue acquisitions, recruit personnel and execute commercial opportunities before competitors do. Delaying the decision can leave those opportunities dependent on future financing conditions that management cannot control.

None of these benefits is guaranteed, and the cost and obligations of being public must be considered. The objective is to assess whether a listing and financing strategy can advance the company’s business plan and to act when that case is credible.

The decision should be made while management still has options—not after a financing window has closed.

This article is for general information only and is not investment, legal or financial advice. Public-market financing and listing outcomes depend on company-specific facts, market conditions and applicable regulatory requirements.