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Retail landlords in Canada are still paying for COVID… five years later. And most people are looking at the wrong part of the problem.

Five years later, the rent resets that saved tenants are now constraining landlords — and there is no fast way out

When the pandemic shut down retail Canada in the spring of 2020, commercial landlords faced a choice that felt simple at the time: renegotiate leases downward, absorb the pain, keep tenants in place, and wait for the world to return to normal. Most made that choice. It was the right one. Five years later, many of those landlords are living with consequences that were never part of the original calculus — and the financial damage is still compounding.

What Happened: The Government Programs and the Landlord’s Dilemma

The federal government’s response to the retail collapse of 2020 was the Canada Emergency Commercial Rent Assistance program — CECRA. Introduced in April 2020 and eventually extended through September of that year, CECRA provided forgivable loans to commercial property owners who agreed to reduce eligible small business tenants’ rent by at least 75 per cent. Under the program, the federal and provincial governments combined to cover 50 per cent of monthly rent obligations, the landlord absorbed 25 per cent, and the tenant covered the remaining 25 per cent of their pre-pandemic rate. By July 30, 2020, more than 63,000 small business tenants had been supported across Canada, representing over 616,000 employees, for a total of over $613 million in rent support.

CECRA was followed by the Canada Emergency Rent Subsidy (CERS), which ran from September 2020 through June 2021, directing subsidies to tenants directly rather than through landlords. Together, the two programs cost the federal government an estimated $3 billion and sustained thousands of retail tenancies that would otherwise have gone dark.

But the programs came with a structural consequence that neither government policy nor landlord agreements adequately addressed: they reset the rent base. When a tenant who was paying $40 per square foot before the pandemic was reduced to $10 per square foot for six months, then $25 per square foot through a renegotiated lease extension, the new number became the psychological and contractual anchor for every renewal conversation that followed.

The Rent Reset Problem: COVID Rates Become the New Base

Here is the arithmetic problem that is now playing out across Western Canadian retail malls and strip plazas, playing out quietly in thousands of lease renewal conversations.

Traditional retail leases in Canada assume periodic escalation. A tenant paying $30 per square foot entering a five-year lease in 2019 would typically expect, and a landlord would contractually require, a renewal in 2024 at rates reset to market — historically representing increases of 10 to 20 per cent over the preceding lease term. That escalation is not a windfall for landlords; it is the financial model that makes the initial purchase price and mortgage service of a retail property viable over time.

What happened instead: tenants who received rent relief in 2020 and subsequently signed renegotiated leases at rates 20 to 40 per cent below their pre-pandemic levels are now treating those reduced rates as the base from which any future increase must be calculated. When leases come up for renewal, the conversation is not “market rent is now $35 per square foot; your rate adjusts accordingly.” The conversation is “we were paying $18 during COVID, and we expect any increase to be applied to $18, not to the $30 we were paying before.”

The landlord’s pre-pandemic NOI (net operating income) is not coming back on the normal escalation schedule. In many cases, it is not coming back at all within a foreseeable lease cycle. Tenants who survived the pandemic by paying reduced rent have five years of business built on those cost structures. Their margins, staffing models, and business plans are calibrated to what they pay now, not to what they paid in 2019. The business that barely survived at $18 per square foot cannot absorb a jump to $30 without genuine risk of closure — and both landlord and tenant know it.

This creates a negotiating dynamic in which the landlord’s leverage is severely constrained. An empty bay generates no income and still costs money to maintain, insure, and carry on mortgage. A tenant paying below-market rent is better than no tenant at all. So the rent resets hold. The NOI stays suppressed. And the suppressed NOI flows directly into property valuation.

The Cap Rate Trap: How Lower NOI Destroys Property Values

Commercial real estate is valued almost exclusively on one formula: value equals NOI divided by cap rate. This is not a theory; it is how every appraisal, every acquisition analysis, and every mortgage underwriting is done.

If a retail plaza generates $500,000 in annual NOI and the market cap rate is 5.5 per cent, the property’s value is approximately $9.1 million. If the same property’s NOI falls to $380,000 — reflecting the suppressed rents of COVID-era leases — the value at the same 5.5 per cent cap rate drops to approximately $6.9 million. That is a $2.2 million decline in property value driven entirely by NOI compression, without a single dollar of physical damage to the building.

Now layer in the cap rate problem. Western Canadian retail properties that were acquired between 2015 and 2020 were frequently purchased at cap rates between 4.5 and 5.5 per cent — reflecting the low-interest-rate environment of that era and the premium investors placed on stabilized, well-leased retail. Those tight cap rates were the market’s expression of confidence: strong tenants, rising rents, compressed yields.

The interest rate environment that prevailed from 2022 through 2025 changed that calculus dramatically. As the Bank of Canada raised its overnight rate from near-zero to 5 per cent to fight inflation — and as 5-year commercial mortgage rates followed to levels not seen since the pre-2010 era — cap rates on Canadian retail assets expanded accordingly. The Bank of Canada’s rate-cutting cycle, which began in 2024, has started to restore deal economics, with the overnight rate sitting in the 2.75 to 3.25 per cent range as of early 2026. Colliers’ Q4 2025 Cap Rate Report forecasts some downward pressure on yields for in-demand assets such as grocery-anchored retail in major markets, where lack of supply and favorable lending should drive cap rate compression for the strongest assets.

But “the strongest assets” is the critical qualifier. Strip malls and smaller community retail plazas with suppressed rents, below-market NOIs, and mixed tenant credit quality are not grocery-anchored Class A centres. A 1970s strip mall in a secondary market where buyers want a much higher return to compensate for uncertainty — that describes precisely the assets that were purchased in volume across Western Canada during the low-rate years, often at cap rates between 4.5 and 5.5 per cent, by investors who assumed escalating rents would compound their returns over time.

Those same assets now trade, if they trade at all, at cap rates between 6 and 7.5 per cent — reflecting higher risk premiums, lower investor confidence, and the market’s rational pricing of suppressed income streams. The math on that spread is brutal. A property purchased at a 5 per cent cap rate with an NOI of $500,000 cost $10 million. If the NOI has compressed to $380,000 and the market now prices that asset at a 6.5 per cent cap rate, the current market value is approximately $5.8 million. The landlord who has held, managed, and maintained that property through five years of pandemic disruption is sitting on a paper loss of more than $4 million — and cannot sell without crystallizing it.

The Road Back: Why This Takes Longer Than Most Owners Expect

The path to recovery from this position has three components, all of which are slow and none of which are within a landlord’s direct control.

Rent normalization requires lease cycles to turn over. A tenant who signed a five-year renegotiated lease in 2021 at reduced rates does not come back to the table until 2026. A tenant who signed a new five-year lease in 2023 after successfully anchoring to their COVID rate doesn’t renew until 2028. Full normalization across a typical retail plaza — assuming landlords succeed in pushing rents toward market at each renewal — could realistically take 8 to 12 years from the original pandemic lease resets. The consensus view from Colliers and CBRE is cautiously optimistic that Canadian commercial real estate will find a new equilibrium, with rents recovering back to roughly 2019 levels in real terms by 2026 to 2027 — but that recovery is concentrated in major urban markets with strong demand, not in secondary markets or mixed-quality strip plazas.

Cap rate compression requires a sustained low-interest-rate environment and returning investor appetite for retail. The Canadian commercial real estate market transitioned into 2026 through a phase of strategic recalibration, with elevated long-term bond yields continuing to squeeze the risk premiums typically expected from property investments, and investor preference shifting toward safe-haven assets with reliable, inflation-protected cash flows. Smaller retail malls, with their COVID-era rent structures, do not fit the “reliable, inflation-protected cash flow” description that institutional capital is seeking right now. Retail reported the highest value gains among Canadian CRE asset classes in Q3 2025 — driven primarily by demand for grocery-anchored centres. The benefits of that demand are accruing to the strongest assets, not to the segment facing the most structural distress.

Interest rate risk is the variable that could stop the recovery entirely. The Bank of Canada has signalled that its rate-cutting cycle may be near completion. If inflation resurges — driven by the energy shock from the Middle East, persistent tariff pass-through, or renewed fiscal expansion — and if the Bank is forced to reverse course and raise rates again, cap rates on retail properties will not compress. They will expand further. For landlords already trapped between suppressed NOIs and elevated cap rates, a rate reversal would be devastating: the property value formula moves in the wrong direction on both variables simultaneously.

The Strategic Reality for Western Canadian Retail Mall Owners

The honest assessment for Canadian retail property owners who bought at pre-pandemic cap rates and renegotiated leases during COVID is this: you are not selling at a profit in the near term. The market has not corrected to your purchase price. Your NOI has not returned to the level that supports your acquisition cap rate. And the timeline for both to normalize is measured in years, not quarters.

That does not mean there are no paths forward. Landlords who can attract anchor tenants — grocery, pharmacy, essential services — are seeing the most meaningful rent recovery and the most active buyer interest. CBRE’s H2 2025 Canada Retail Rent Survey notes that demand remains strong from quick service restaurants, specialty grocers, pharmacists with general practitioners, and nail salons — service-oriented tenants whose businesses survived the pandemic, grew through it, and whose models are less vulnerable to e-commerce displacement.

The landlords who will recover soonest are those who use each lease renewal as a genuine reset opportunity rather than a continuation of pandemic-era rate negotiations, who invest in improving the quality and positioning of their centres to attract stronger tenants, and who build their portfolios for a long hold horizon rather than a near-term exit.

The hardest truth is also the most important one. The COVID lease resets were necessary. They kept businesses alive, kept people employed, and kept retail plazas from becoming rows of empty storefronts during a national emergency. The cost of that goodwill was real, it was correctly incurred, and it will take years to earn back. Understanding that timeline — rather than waiting for a market recovery that restores pre-pandemic valuations quickly — is the starting point for managing these assets intelligently in the years ahead.


Sources: Canada Mortgage and Housing Corporation (CMHC); Canada Department of Finance (CECRA and CERS program data); Altus Group Canadian CRE Investment Trends Q4 2025; Colliers Canada Cap Rate Report Q4 2025; CBRE Canada Retail Rent Survey H2 2025; LendCity Canadian Cap Rates 2026; Real Estate News Exchange (RENX), November 2025; PwC/ULI Emerging Trends in Real Estate Canada 2026; Norton Rose Fulbright Commercial Lease COVID Analysis; CBC News CECRA program reporting.

Media

Richard Crenian Says North American Real Estate Market Participants Are Missing the Opportunity Hidden Inside 2026’s Two Biggest Trade Stories

Washington Is Driving the USMCA Crisis – and Canada’s Response Is Already Reshaping the Real Estate Market

The United States is deliberately driving the USMCA renegotiation – and Canada’s response to that pressure has triggered a second major trade story that most real estate operators on both sides of the border are missing entirely. Richard Crenian, one of Canada’s most experienced commercial real estate operators, says these two stories are not parallel events. They are cause and effect – and together they are creating one of the most significant commercial real estate opportunities in recent memory.

“Most people are watching these headlines as political news. And they are,” says Crenian. “But what I see as a real estate builder is a structural realignment of North American trade – and a wave of new commercial space demand already building on the ground. The window to get ahead of it is narrow, and it is open right now.”

Washington Is Driving This – Deliberately

The USMCA review deadline of July 1, 2026 is not a neutral bureaucratic milestone. It was designed as a pressure mechanism by the Trump administration – and it is being used exactly as intended. Under Article 34.7 of the agreement, all three parties must confirm an extension or trigger a decade-long countdown to the deal’s expiration in 2036. The United States, which originally proposed the review system during its first term, built it as an action-forcing lever to extract concessions from Canada and Mexico without requiring formal withdrawal from the agreement.

President Trump signaled his intentions before taking office, publicly stating his intention to invoke the renegotiation provision upon his return to the White House. Since then, the administration has gone further: it has physically excluded Canada from bilateral talks with Mexico, imposed tariffs on Canadian goods that Ottawa argues violate the very agreement Washington claims to be reviewing, and made clear that trade access to the U.S. market is now conditional not just on commercial terms but on Canada’s border and fentanyl enforcement, NATO defense spending commitments, and – critically – its relationship with China.

That last demand is the thread connecting both stories. U.S. Trade Representative Jamieson Greer has signaled that Washington may press Canada and Mexico to adopt a common approach to China – including common external tariffs, export controls, or investment restrictions. Canada’s 49,000-vehicle EV deal with Beijing, struck by Prime Minister Carney in January 2026, is precisely the kind of move Washington is pushing back on. The two stories are not coincidental. One is Canada’s direct answer to the other.

“This is not two separate trade stories,” Crenian says. “This is one story. The U.S. is squeezing Canada on the USMCA. Canada is diversifying eastward in response. And the physical infrastructure of that diversification – the dealerships, the service centres, the logistics facilities, the retail plazas – is commercial real estate. That’s where smart operators need to be paying attention.”

The USMCA Uncertainty: Why Hard Assets Win When Trade Confidence Wavers

A clean USMCA extension by July 1 now looks unlikely. Washington has sidelined Canada in bilateral talks with Mexico. U.S. officials have stated dissatisfaction with outcomes on steel, aluminum, and autos. And the Trump administration has signaled it may prefer separate bilateral frameworks over the existing trilateral structure – a scenario that would fragment the $2 trillion annual trade relationship that has underpinned North American economic integration for three decades.

For market participants, the mechanism of harm is uncertainty itself. Companies with cross-border supply chains are pausing long-term capital commitments. Private equity and family offices with exposure to North American manufacturing and logistics are reassessing. And capital that cannot find a stable cross-border home is rotating into domestic hard assets.

“Every time cross-border confidence wavers, I watch the same rotation happen,” says Crenian. “Capital moves into stable, income-producing domestic real estate. Canadian multi-tenant retail and mixed-use assets have been that destination in every uncertainty cycle I’ve navigated. What I’m watching right now is the same pattern – at a larger scale than I’ve seen before.”

For U.S.-based groups reassessing North American exposure, the case is particularly compelling. Canada is the only G7 nation with free trade access to all other G7 economies, with preferential access to 1.5 billion consumers across 51 countries through 16 trade agreements. The Bank of Canada has flagged that an unfavorable USMCA outcome would suppress Canadian GDP and push inflation higher – but that same disruption historically strengthens the case for value-add commercial real estate as a defensive position. Canadian assets, dollar-denominated and stable-income, look increasingly attractive as a hedge against the very instability the USMCA review is generating.

Canada’s Response: 49,000 Chinese EVs and the Real Estate Demand Nobody Is Talking About

In January 2026, as USMCA tensions were already building, Prime Minister Carney flew to Beijing and struck a landmark deal: up to 49,000 Chinese-built electric vehicles would enter Canada annually at a dramatically reduced tariff of 6.1% – down from a prohibitive 100% surtax. The quota grows to 70,000 units by 2030. It was a calculated pivot: as Washington made clear that U.S. market access would come with escalating conditions, Ottawa opened a significant new commercial lane in the opposite direction.

Washington noticed immediately. U.S. Trade Representative Greer described the deal as “problematic.” The reaction underscored exactly what Crenian argues: this EV arrangement is not a standalone trade story. It is Canada’s direct strategic response to U.S. pressure – and Washington’s irritation confirms it landed as intended.

For commercial real estate, however, the significance of the deal is not diplomatic. It is physical. BYD, the world’s largest EV manufacturer, has engaged a Markham, Ontario-based consultancy to identify up to 20 standalone dealership locations across Canada – starting with three sites in the Greater Toronto Area, then expanding to Vancouver, Montreal, and Calgary. Chery Automobile and Geely-owned brands are building independent retail networks in parallel. Unlike Western automakers, Chinese brands strongly prefer standalone showroom formats, generating discrete, high-visibility commercial real estate demand in exactly the secondary and mid-market locations where Crenian has operated for decades.

“This is not a car story. It is a real estate story,” Crenian says. “BYD is building 20 stores before the quota is even close to being filled. That tells you exactly what they believe about this market’s trajectory. Smart operators should be making the same bet – and getting into position before the demand becomes obvious to everyone else.”

Beyond showroom space, the downstream real estate demand is substantial: service and maintenance centres, parts logistics facilities, EV charging infrastructure hubs, and the mixed-use retail plazas that cluster around high-traffic automotive destinations. “In every market where a major auto brand has established a dealership corridor, the commercial real estate around it has moved. This playbook is not new. What’s new is the geopolitical force driving it.”

The Opportunity: Why the Best Entry Points Are Created by Uncertainty, Not Resolved by It

Crenian’s central argument is that the people who benefit most from structural trade shifts are never the ones who wait for resolution. They are the ones already in position when the dust settles. The USMCA uncertainty and Canada’s China pivot are, together, creating exactly the kind of dislocated market environment that has historically produced the strongest commercial real estate entry points.

Canada’s first-ever Investment Summit, scheduled for September 2026 in Toronto, will bring the world’s largest institutional capital groups to assess Canadian opportunities directly. The federal government has already secured $97 billion in foreign investment commitments over the past year. Every multinational that answers Canada’s FDI pitch needs physical space – distribution, retail, service infrastructure. That demand lands in specific cities, specific corridors, specific properties.

“The U.S. is squeezing. Canada is pivoting. Capital is moving,” Crenian says. “For a commercial real estate operator who knows these markets, that combination is not a threat. It is a signal. And the signal is loud right now for those paying attention.”

“Uncertainty is not the enemy of real estate investment. It is the environment in which the best opportunities are created. The people who benefit most from what is unfolding in North American trade policy right now are the ones already in position – not the ones waiting for the headlines to resolve.”

Media

The AI Race: Who Is Actually Winning — and What Changes Everything in the Next Year

A fact-based and predictive look at the most consequential technological competition of our time

Ask most Americans who is winning the artificial intelligence race, and they will say the United States. Ask most Chinese citizens the same question, and they will say China. Both are partially right — which means neither answer is sufficient. The real story is more complicated, more urgent, and more interesting than any single answer can contain.

Two Races, Not One

The first mistake in analyzing the AI competition is treating it as a single contest. It is not. The United States and China are running toward different finish lines, and they are each ahead on their own track.

Entrepreneurial America wants to maintain its qualitative advantage in AI and become the first to achieve artificial general intelligence (AGI) — machines or software that replicate human intelligence across all domains. Using advanced AI models, the US tech sector is striving to innovate and sell cutting-edge, world-beating products and services, from computerized office assistants to smart weapons. China, by contrast, is more concerned with integrating AI across every sector of its economy and society — from education to healthcare to government services and the military — and with bolstering its global supply chains with AI and smart robots to remain the world’s most important exporter.

On both deployment and public trust in AI, China may be years ahead. China has leapfrogged both Germany and Japan in robot density and now deploys more industrial robots than the rest of the world combined. Across the maritime sector, Beijing operates dozens of fully automated port terminals with many more under construction, compressing turnaround times and tightening supply-chain efficiency. In renewable energy, AI-driven grid management has reduced power outage durations from hours to seconds. In healthcare, Tsinghua University launched Agent Hospital — the world’s first AI-powered medical facility — where virtual doctors diagnose and treat thousands of patients daily with high reported accuracy.

The US leads in frontier model capability, compute access, private sector investment, and research output. China leads in deployment scale, industrial integration, cost efficiency, and global market reach. Calling either country “the winner” depends entirely on which race you are watching.

The Chip Question: What Happens When China Gets Nvidia?

This is where the competition gets geopolitically explosive — and where recent policy decisions have changed everything.

Since 2022, US policy aimed to preserve a commanding lead over China in AI by blocking Chinese access to advanced semiconductors. Nvidia’s chips power virtually all frontier AI training; before export restrictions tightened, the company held a near-monopoly on China’s advanced AI chip market.

That policy has now shifted. In January 2026, the Trump administration announced it would approve Nvidia H200 chip sales to China under a roughly 25% tariff regime — a significant reversal of the prior strategy. The implications are significant and contested. The H200 is several times more capable than any chip currently available inside China, whether imported or domestically produced. Huawei’s best homegrown alternative falls meaningfully short on performance and can only be manufactured in relatively small volumes, while Nvidia produces at a far larger scale. Without advanced US chip exports, American compute capacity would dwarf China’s by a wide margin; approved H200 sales would substantially close that gap.

As of today, those sales have stalled. Beijing is weighing whether imports might undercut its push for chip self-sufficiency. On the US side, buyers must demonstrate strict security controls and provide assurances against military use — conditions that have slowed approvals considerably. Chinese customs has also moved cautiously, partly over concerns about hardware integrity.

The bottom line: Nvidia chip access is the single fastest lever for accelerating China’s AI development. Independent analysts have noted the policy effectively risks equipping a leading strategic competitor, while proponents argue engagement beats isolation. Whether chips flow at scale in 2026 remains one of the year’s most consequential open questions.

The Open-Source Flanking Strategy

While Washington focuses on chip access, China is winning a different battle quietly and decisively.

Over the past two weeks, the most widely used AI in the world was one that few Westerners had ever heard of: Kimi K2.6, an open-source Chinese model that topped the OpenRouter leaderboard. Meanwhile, Alibaba’s Qwen series has captured a majority of global open-source model downloads, having overtaken its biggest Western competitor, Meta’s Llama, in late 2025. Qwen has been downloaded roughly a billion times. The Singaporean government recently announced it would move away from Llama and build its sovereign AI model on Qwen instead. China does not need to dominate the most advanced models to win the AI race. If Chinese models become the affordable, good-enough default across emerging markets, Beijing will have built durable influence for decades. This is the Belt and Road Initiative reimagined as digital infrastructure — not concrete and steel, but models and standards embedded in the AI systems of dozens of developing nations before Western alternatives can establish a foothold.

What Has Happened in the Last Three Months

The pace of AI product releases in early 2026 has been staggering. April 2026 was the month the AI race stopped being theoretical. Three massive trends converged simultaneously: frontier model capability hit a ceiling that no public lab has yet broken through; open-source models closed the gap so aggressively that the performance difference between a free self-hosted model and a paid proprietary API shrank to single-digit percentage points; and for the first time in commercial AI history, a major lab built a model it considered too dangerous to release publicly.

The major releases of the past three months:

From the US labs: GPT-5.4 from OpenAI and Gemini 3.1 Pro from Google both launched in March 2026, each achieving essentially identical scores on the Artificial Analysis Intelligence Index — effectively tied at the frontier. Gemini 3.1 Pro leads on scientific reasoning, while GPT-5.4 leads on coding and computer-use tasks. OpenAI also surpassed roughly $25 billion in annualized revenue. GPT-5.4 introduced an extended context window and the ability to autonomously execute multi-step workflows across software environments, scoring above the human baseline on desktop productivity tasks — marking a significant shift from AI as a chat tool to AI as an autonomous digital coworker.

Claude Opus 4.7 (Anthropic, April 16) leads on coding and agentic tasks, scoring notably higher than GPT-5.4 on SWE-bench Verified. Anthropic also quietly began a controlled initiative — Project Glasswing — giving major enterprises including Apple, Microsoft, JPMorgan Chase, and Google access to its unreleased Claude Mythos model to find critical software vulnerabilities before release.

From China: DeepSeek V4 Preview dropped on April 24 — a massive open-source model built on Huawei Ascend chips, priced at a fraction of Western alternatives for the Flash variant. Independent benchmarks place V4-Pro within single-digit points of Claude Opus 4.7 and GPT-5.5 on SWE-bench — a gap that has narrowed from well over ten points just a year ago. For cost-sensitive production workloads, V4 changes the economics of AI deployment fundamentally.

Meta unveiled Muse Spark, its first flagship large language model built under its newly formed Superintelligence Labs — a dramatic departure from Meta’s multi-year open-source Llama strategy — and announced AI capital expenditures approaching $120 billion for 2026, roughly double last year’s spending.

What Is Coming in the Next Three Months

The next wave is already confirmed or strongly anticipated:

The highest-confidence Q2 2026 releases are GPT-5.5 (OpenAI, pretraining confirmed complete), Grok 5 (xAI, 6 trillion parameters — the largest publicly announced AI model ever), DeepSeek V4 full release, and Claude Sonnet 4.8. Google is expected to announce a new Gemini model at its I/O conference, landing roughly in the class of GPT-5.5. Apple’s Gemini-powered Siri is expected to ship alongside iOS 26.4.

The overarching theme of what is coming: AI agents. At Google Cloud Next ’26, over 32,000 attendees saw more than 260 announcements centered on agentic AI — AI that doesn’t wait to be asked but plans, executes, and reports back. The shift from AI as a question-answering tool to AI as an autonomous worker is the defining transition of the next twelve months.

One Year From Now: What Changes Forever

Sit down in May 2027 and the world will look materially different in three ways.

Work will change. The combination of frontier reasoning models, autonomous agent frameworks, and AI integration into productivity software means that significant portions of white-collar knowledge work — research, drafting, analysis, code review, scheduling, customer service — will be either automated or dramatically accelerated. Early-stage AI adoption suggests some of the largest productivity gains are still ahead, particularly in service sectors that have historically lagged in digital transformation, with meaningful improvements expected in healthcare and administrative services where AI can streamline case management, automate paperwork, and assist with diagnostics. The jobs that exist in a year will be different from the jobs that exist today — not necessarily fewer, but structurally different.

The geopolitical map of technology will be redrawn. The world is fracturing into two AI spheres. US-led models (ChatGPT, Claude, Gemini) dominate the West, Japan, Australia, and allied markets. Chinese models (Qwen, DeepSeek, Kimi) are becoming the default in Southeast Asia, Africa, Latin America, and the Middle East. This split reflects the broader tech decoupling between two economic systems, and it has implications for everything from data privacy to military doctrine to the standards that govern the next generation of the internet. By May 2027, those defaults will be much harder to dislodge.

The definition of “winning” will have shifted. Today’s AI race is framed around benchmarks and parameter counts. A year from now, the measure that matters will be deployment at scale — how many hospital systems, factory floors, government agencies, and small businesses are running on which AI infrastructure, in which countries, under which legal frameworks. First-mover advantage will not be won by the country that produces marginally superior models, but by the one that embeds AI — efficiently, safely, and ubiquitously — across factories, transportation systems, and public services. On that measure, the race is far from decided.

Who Is “Us” — and Who Is Really Winning?

The question of who “we” are in this race is itself contested. For American tech executives, “we” means US private companies maintaining frontier capability. For national security officials, “we” means the democratic alliance of the US, Europe, Japan, South Korea, and partners who share values about open societies and rule of law. For the Global South — which represents most of the world’s population and most of the world’s future AI users — “we” is neither Washington nor Beijing, but whichever country offers the most accessible, affordable AI tools without onerous political conditions.

China is winning the accessibility race. The US is winning the capability race. Neither has won the deployment race. The uncomfortable truth is that the AI competition cannot be won the way a chess match is won. There is no checkmate. There is only influence, infrastructure, and momentum — and all three are still very much in play. The next twelve months will not produce a winner. But they will narrow the field considerably, and the choices being made right now — about chip exports, about open-source models, about where the Global South turns for its AI foundation — will prove very difficult to reverse.

Sources: Foreign Policy (Agathe Demarais, May 2026); TIME Magazine AI Race analysis, January 2026; Poynter/PolitiFact AI fact check, February 2026; Morgan Stanley AI Race analysis; Stimson Center, January 2026; Christian Science Monitor, May 12, 2026; Council on Foreign Relations, January 2026; Bloomsbury Intelligence and Security Institute, February 2026; CNBC AI model and chip coverage, April–May 2026; LLM Stats model tracker; AI model release analyses via Medium and Crescendo AI, April 2026; Google Cloud Next ’26 announcements; Stanford SIEPR.

Media, News

China’s AI Strategy Is Not a Trend — It’s a National Mission

For years, the conversation around artificial intelligence was dominated by Silicon Valley. That is no longer the case. China is now investing in AI at a national, industrial, and geopolitical scale that the Western world cannot afford to underestimate. This is not simply venture capital enthusiasm or a startup boom. China is treating AI as core infrastructure for economic growth, manufacturing dominance, military modernization, healthcare, logistics, robotics, and long-term national competitiveness.

And unlike many Western markets that often rely heavily on private-sector momentum, China’s approach is coordinated across government policy, research institutions, semiconductor manufacturing, cloud infrastructure, and enterprise adoption. The scale is enormous. According to estimates cited by Bank of America research, China’s AI capital expenditure in 2025 is projected to reach between $84 billion and $98 billion, representing up to 48% year-over-year growth. Government investment alone may account for approximately $56 billion.

At the same time, China’s Ministry of Finance allocated roughly ¥398 billion ($55 billion USD) toward science and technology initiatives focused on semiconductors, AI, quantum computing, and advanced research.

This is not random spending. It is part of a long-term strategic framework that dates back to China’s 2017 ambition to become a global AI leader by 2030. Today, those plans are materializing through massive investments in:

  • AI data centers
  • domestic semiconductor manufacturing
  • robotics
  • open-source AI ecosystems
  • cloud computing
  • industrial automation
  • military AI applications
  • education and talent pipelines

Morgan Stanley estimates China’s broader AI ecosystem could ultimately represent a $1.4 trillion market opportunity by 2030. One of the most important aspects of China’s strategy is that it is not solely focused on building the “most powerful” models. Instead, China is heavily focused on efficient deployment, lower operating costs, rapid commercialization, and mass adoption. That difference matters.

Western AI companies often prioritize frontier model dominance and premium enterprise ecosystems. China appears increasingly focused on scalable real-world implementation across industries and consumer platforms. In many ways, this resembles the same playbook China used successfully in manufacturing, EVs, batteries, and telecommunications. There are legitimate concerns for the Western world.

The risks include:

  • accelerated technological dependence on Chinese supply chains
  • loss of leadership in semiconductor manufacturing
  • military AI competition
  • economic displacement through automation
  • influence over global AI standards and infrastructure
  • cybersecurity and data governance concerns
  • pressure on Western companies operating under slower regulatory systems

China is also aggressively pursuing semiconductor independence due to U.S. export restrictions. Reports indicate the country aims to localize a significant share of critical silicon wafer and chip production to reduce reliance on foreign suppliers. At the same time, Chinese firms such as DeepSeek are rapidly scaling and attracting multibillion-dollar valuations while competing with Western AI labs on cost efficiency and deployment speed.

This understandably creates anxiety across Western markets and policymakers. But there is another side to this story that many investors and business leaders are missing. Competition at this scale can become one of the greatest accelerators of innovation the global technology industry has ever seen.

Historically, major technological leaps often happened during periods of intense geopolitical and economic competition:

  • the space race
  • semiconductor expansion
  • internet infrastructure growth
  • mobile computing
  • renewable energy development

AI may now be entering a similar era.

China’s aggressive investment strategy is forcing the global market to move faster:

  • faster infrastructure deployment
  • faster semiconductor innovation
  • faster AI adoption
  • lower inference costs
  • greater open-source development
  • more enterprise experimentation
  • larger global talent pipelines

This pressure could ultimately benefit the entire AI ecosystem.

Already, China’s focus on lower-cost AI models and open-source ecosystems is influencing global pricing structures and accelerating accessibility for startups and businesses worldwide. Morgan Stanley notes China’s strength in efficiency-driven AI and mass-market deployment as a major differentiator. In practical terms, this means AI capabilities that once required massive budgets may eventually become accessible to smaller companies, independent developers, healthcare systems, educational institutions, and emerging economies.

That could dramatically expand the global AI economy. The real question is no longer whether China will become an AI superpower. It already is.

The real question is whether the West responds with:

  • stronger innovation ecosystems
  • smarter regulation
  • infrastructure investment
  • semiconductor resilience
  • education and workforce development
  • international collaboration

because AI leadership over the next decade may determine economic leadership for the next fifty years. And while geopolitical competition introduces very real risks, it may also produce one of the largest waves of technological progress and productivity expansion the world has ever experienced.

Media

Is the Canadian Dollar Quietly Losing the Battle to the USD Again?

What Will Drive CAD vs. USD in 2026?

Right now, the market is telling an interesting story. As of this week, 1 USD is trading around 1.35–1.37 CAD, with XE showing the mid-market rate near 1.357–1.367 depending on the day. That means the big question for investors, business owners, and cross-border operators is simple – Does the Canadian Dollar strengthen from here… or does the U.S. Dollar continue to dominate in 2026?

Here are the 5 biggest forces shaping that answer:

1. Interest Rate Gap: Fed vs. Bank of Canada

Currencies follow yield.

XE currently shows central bank benchmark rates around:

  • U.S. Federal Reserve: 3.75%
  • Bank of Canada: 2.25%

Higher U.S. rates attract global capital into USD assets.

As long as the Fed maintains a rate premium over Canada, the USD keeps structural support.

Unless Canada surprises with stronger growth or inflation, this remains a major CAD headwind.

2. Oil Prices Still Matter More Than People Think

Canada remains a commodity-driven economy.

When oil strengthens:
→ Canadian exports improve
→ trade balances improve
→ CAD often gains strength

When oil weakens:
→ pressure builds on the loonie

Energy still matters—even in a tech-driven market.

3. U.S. Election Policy Fallout

2026 is still digesting the aftershocks of U.S. fiscal policy, deficits, tariffs, and trade positioning.

Aggressive U.S. spending can support growth short term—but also raise debt concerns long term.

Markets watch confidence.

If investors trust U.S. growth → USD strengthens
If deficit fears rise → USD can weaken

This is where politics becomes currency pricing.

4. Canadian Housing + Consumer Debt Risk

Canada carries one of the most leveraged consumer environments among developed economies.

Mortgage sensitivity + refinancing pressure + slower consumer spending can limit economic strength.

If domestic weakness grows, the Bank of Canada may stay more dovish than the Fed.

That typically weakens CAD.

5. Global Risk Sentiment

In uncertainty, money runs to safety.

And globally, safety still means:

U.S. Dollar first.

Recession fears, geopolitical tension, or market volatility usually create USD demand—even when America is the source of the concern.

That safe-haven status is powerful.

My View

I believe 2026 will be less about “Will CAD rally?” and more about:

What would need to happen for USD to finally lose dominance?

For that, we’d likely need:

  • Fed rate cuts ahead of expectations
  • stronger Canadian growth
  • resilient commodities
  • improved global risk appetite

Until then, the USD remains structurally stronger.

For business owners managing cross-border cash flow, this matters.

FX is not just a trader’s game.

It impacts:

  • imports
  • exports
  • investment returns
  • purchasing power
  • wealth preservation

And ignoring currency risk is often more expensive than managing it.

Smart operators hedge.
Average operators hope.

Big difference.


Disclaimer: This post is for educational and market commentary purposes only and should not be considered financial, investment, or tax advice. Always consult your professional advisor before making financial decisions.

Media

Why the Future of AI Is Not Building Another ChatGPT

Everyone is chasing the next AI app. I believe the next massive AI opportunity is not another AI tool – it’s AI market consolidation, interoperability, and self-regulation.

Right now, the AI space is fragmented.

Thousands of private companies are building powerful tools for writing, coding, design, video, automation, analytics, customer service, and decision-making. Each platform operates in its own silo, with its own pricing, rules, workflows, and limitations.

For users, this creates friction – too many subscriptions, too much trial and error, duplicated work, and constant switching between platforms.

For regulators, it creates an even bigger challenge – how do you regulate a fast-moving market where most innovation happens inside private companies, across multiple countries, with constantly changing models?

Traditional regulation will always struggle to keep pace. The smarter opportunity may be private-sector self-regulation combined with AI ecosystem consolidation.

Imagine a marketplace or operating layer where AI platforms can communicate through standardized APIs, shared compliance frameworks, transparent usage rules, and quality controls.

Not one AI replacing all others – but one intelligent access point connecting the best of many!

Imagine you are working inside OpenAI’s ChatGPT and ask: “Create a campaign strategy, generate the ad copy, design the visuals, produce the product video, and prepare the landing page.”

Instead of being limited to one model’s capabilities, the platform intelligently decides:

• best writing model for strategy
• best image model for visuals
• best video model for production
• best automation engine for deployment
• best analytics engine for optimization

Even better – multiple AI systems collaborate in the background to complete one outcome. The user doesn’t care which model wins. They care about the best result.

The company that builds that trusted AI marketplace where platforms communicate, compete, and self-regulate may become the real giant of the next AI era.

The next unicorn may not be another AI app. It may be the infrastructure that makes all AI apps work together.

Media

AI Isn’t Killing Jobs – It’s Creating a New Class of Winners

AI isn’t just a tech trend – it’s quickly becoming one of the most powerful economic tailwinds we’ve seen in years. While much of the conversation focuses on job disruption, there’s a bigger story unfolding: AI is accelerating productivity, unlocking new business models, and lowering the barrier to scale.

We’re seeing this driven by companies like NVIDIA and Microsoft, but the real impact is happening beneath the surface:

• Small teams are operating like large enterprises
• Service businesses are automating 30–50% of workflows
• Decision-making is becoming faster, data-backed, and scalable
• New roles are emerging faster than old ones are disappearing

This is not just an efficiency gain – it’s a margin expansion story across industries.

For markets like Canada and the U.S., this could mean:

  • Higher output without proportional labor increases
  • A surge in entrepreneurship (lower cost to start and scale)
  • Competitive reshaping across traditional sectors

The key shift:
Value is moving from execution to orchestration. Those who can direct AI, integrate it, and apply it strategically will capture outsized returns.

Yes, there will be displacement. That part is real. But historically, productivity revolutions tend to create more opportunity than they destroy-they just redistribute it. We’re still early!

The question isn’t whether AI will impact your industry. It’s where you sit in the value chain when it does.

Disclaimer: This is for informational purposes only and does not constitute financial or investment advice.

Media

Predictive AI in Trading: What the Data Actually Shows So Far

AI in trading has captured everyone’s attention, but the conversation often misses a crucial detail: predictive AI is not just a theoretical concept anymore. Independent testing has shown that AI models can anticipate short-term market movements with surprising accuracy. These aren’t sweeping guarantees of profit or “crystal ball” predictions, but they are real signals that, if deployed at scale, could shift how markets behave.

China, in particular, has taken a different approach to AI than the West. While Western markets emphasize regulation, decentralization, and competitive innovation, China has historically focused on control, coordination, and scale. Their AI systems are being built with state support, massive datasets, and integrated deployment across industry and finance. This raises the stakes for traders everywhere, because predictive AI is most effective when it can process vast amounts of data in real time and act on it faster than any human can.

For day traders, this changes the game. Imagine entering a breakout trade with perfect setup, only to see the price stall and reverse without warning. You weren’t wrong; you were competing against an AI model detecting liquidity patterns before you could even react. Or consider the subtle acceleration of liquidity hunting: models can detect clusters of retail stop-losses and common trading behaviors, nudging the market just enough to trigger them. Even strategies that worked reliably for months can become ineffective in days as AI adapts in real time.

The risks are compounded when AI deployment is coordinated at scale, especially in markets where control takes precedence over regulation. In China, technology is often directed according to state priorities, meaning access, speed, and adaptation may be concentrated among a few coordinated actors. This could compress the lifespan of traditional trading edges, increase engineered volatility, and make retail patterns more predictable to AI than ever before.

This isn’t meant to be alarmist. Predictive AI will not make markets perfectly predictable, and it will never eliminate human judgment. What it does is change the playing field. Traders need to adapt faster, incorporate technology thoughtfully, and focus on risk management and psychology as much as on signals. The future of trading is not just human versus machine, but human versus coordinated, adaptive systems with the potential to shape markets before traditional players can react.

Independent testing suggests that predictive AI works in controlled conditions. The real question is what happens when such systems are scaled and deployed strategically. China’s approach, emphasizing control and coordination, shows one potential trajectory – one that could fundamentally alter how market signals are created, interpreted, and acted upon. For anyone actively trading, paying attention to these developments is no longer optional; it’s essential.

Media

Why Cutting Gas Taxes Might Be the Fastest Way to Boost the Economy Right Now

Over the past few years, both Canada and the United States have shown that governments can step in quickly to ease pressure on consumers when fuel prices surge. In Ontario, under Doug Ford, provincial gas taxes were reduced and extended multiple times to help offset rising costs. Alberta went even further by suspending its fuel tax entirely based on oil price thresholds, while in the United States more than 20 states introduced temporary gas tax holidays. Even Joe Biden proposed a federal pause, reinforcing just how critical fuel costs are to economic stability.

What often gets overlooked is that fuel is not just another expense—it is a foundational input across the entire economy. It affects how goods are transported, how services are priced, how people commute, and how businesses manage their margins. When governments temporarily reduce fuel taxes, the effect is immediate and far-reaching. Costs drop across supply chains, disposable income increases without the need for direct stimulus, and businesses gain breathing room to operate and grow. This kind of intervention moves faster than most policy tools and touches nearly every sector at once.

Imagine the U.S. federal government announces a three-month temporary suspension of its federal gas tax. Overnight, consumers see 18 cents per gallon disappear from their pump bills, and state governments follow with partial relief. Commuters have more disposable income, small businesses save on transportation and delivery costs, and logistics-heavy industries like agriculture and manufacturing see margins expand. With cash flowing back to the everyday economy, spending rises, retail activity picks up, and even sectors not directly tied to fuel feel the ripple effect. Within weeks, GDP growth projections tick up, consumer confidence rebounds, and the markets interpret this as a sign of a proactive, growth-oriented government.

Meanwhile, in Canada, the government largely follows a different philosophy. Fuel taxes remain in place, but relief comes in the form of targeted rebates, grants, and sector-specific funding programs. While well-intentioned, this approach risks a single point of failure: it extracts resources from the broad base of working taxpayers to support a few selected sectors. In a global economy, this can dampen overall economic activity. When relief doesn’t reach the majority of consumers and businesses directly, spending slows, and the intended stimulus often fails to ripple through the economy effectively. The contrast is clear: a broad-based, immediate tax cut can empower the economy faster than carefully allocated grants, especially when global shocks demand swift action.

Beyond the direct financial impact, there is also a strong signal sent to markets and consumers. When governments choose to reduce fuel taxes, they demonstrate confidence in their fiscal position and a willingness to prioritize economic momentum over short-term tax revenue. It shows responsiveness, adaptability, and a focus on maintaining stability during periods of volatility. Strong economies are not defined by rigid policy—they are defined by the ability to act strategically at the right time.

Historically, most of these tax reductions have taken place at the provincial or state level, where governments can move more quickly and with fewer constraints. Federal action has been less common, often limited by infrastructure funding dependencies and political considerations. However, a coordinated approach across both levels of government could amplify the impact significantly, creating a broader and more sustained economic lift.

Looking ahead, energy markets remain highly sensitive to global conditions, particularly around key supply routes like the Strait of Hormuz. If oil begins to move more freely through this critical channel, markets could see an unexpected and meaningful upside driven by improved supply, stabilizing prices, and renewed confidence in global trade. For some, periods like this represent opportunity, as moments of uncertainty often precede upward shifts in the market for those positioned early.

Temporary fuel tax reductions are more than short-term relief; they are a strategic lever that can stimulate growth, stabilize economies, and restore confidence when it is needed most. In the right conditions, a simple move at the pump can ripple outward into something much larger.

Disclaimer: For informational purposes only. Not financial or investment advice.

Media

BoC Pauses at 2.25% – The Surprising Winners You Didn’t See Coming

On March 18, 2026, the Bank of Canada (BoC) announced it would hold its key policy interest rate steady at 2.25%, maintaining the same level it has held since late 2025. The decision was widely anticipated by markets and economic analysts, and it reflects a careful balancing act by policymakers between controlling inflation and supporting economic growth. This move – a hold rather than a cut or hike – carries nuanced messages about where the Canadian economy stands and what lies ahead for markets, households, and businesses.

What the Rate Hold Signals About the Economy

1. Inflation and Growth Are Balanced – for Now

The BoC’s mandate is clear: keep inflation near its 2% target while safeguarding economic stability. Current data show inflation is holding within or close to this target range, and there are no acute signs of runaway price pressure that would demand a rate hike. At the same time, growth metrics – including business investment, exports, and hiring — remain subdued, suggesting that the economy is not overheating. That soft performance undercuts the case for raising borrowing costs further and signals that an overly restrictive monetary policy could risk derailing fragile growth.

2. Global and External Risks Loom Large

The BoC’s cautious stance also reflects external uncertainties, ranging from evolving U.S.–Mexico–Canada trade dynamics to geopolitical tensions affecting global energy prices. These factors complicate how monetary policy feeds into real domestic outcomes. When international headwinds are strong, central banks often prefer to pause – giving them flexibility to pivot later – rather than risk tightening too soon and stifling growth.

Given the BoC’s decision and its economic context, various audiences may consider different strategic responses. Below are some thoughtful takeaways:

For Households and Borrowers

  • Variable-rate borrowers benefit from stability: With the BoC holding its overnight rate at 2.25%, variable mortgage and loan rates are less likely to jump in the near term. That can offer breathing room for budgeting and debt service planning.

  • Fixed-rate mortgages will reflect bond markets: It’s important to clarify that BoC announcements don’t immediately change fixed mortgage rates, since those are tied to longer-term bond yields and expectations.

  • Opportunity to refinance or consolidate: If your financial profile improved during the recent steadier economic period, locking in a refinance now – before potential future tightening – might be prudent.

For Canadian Businesses

  • Real estate developers and investors: Holding rates can support transaction activity and investor confidence, especially in a real estate market still adjusting after years of elevated prices and affordability challenges.

  • Small and medium enterprises (SMEs): Stable borrowing costs make it easier to project expenses and plan capital expenditures. Firms with lines of credit or plans to expand might revisit investment decisions that were previously shelved due to uncertainty.

  • Export-driven sectors (manufacturing, natural resources): Global volatility – in trade policy or commodity prices — matters more than small shifts in rates. These businesses may benefit most from hedging strategies and flexible cost structures rather than simply reacting to low-rate headlines.

Positive Outlooks – Where Stability Helps Markets

While the headline “rates unchanged” might sound pedestrian, several markets stand to benefit positively from this environment. Below are three examples of markets where the BoC’s hold could act as a constructive backdrop:

1. Canadian Equities

Canadian equities have historically responded well to stable monetary conditions, particularly when inflation is controlled and growth prospects are visible. When borrowing costs are predictable, corporate earnings forecasts become more reliable, which supports valuation confidence.

A stable rate environment also allows sectors like financials and consumer staples to perform without the volatility associated with sudden monetary tightening — benefiting long-term investors.

2. Real Estate Market

Although Canadian real estate has faced affordability headwinds and cooling demand in some regions, a pause on interest rate increases can have two immediate effects:

  • It prevents further upward pressure on mortgage rates.

  • It gives buyers and sellers time to recalibrate without the fear of sudden cost increases.

For markets with supply constraints- including purpose-built rental or specialized commercial projects – this steadiness can support deal flow and construction planning.

3. Fixed Income and Bonds

Bond markets benefit from clearer, predictable monetary policy. When central banks hold rates steady and signal they’re monitoring inflation carefully, longer-term yields tend to stabilize. This provides opportunities for:

  • Income investors to secure attractive yields before any future tightening.

  • Portfolio managers to rebalance risk exposure with more confidence.

A stable rate environment improves the risk-return profile for both government and corporate bonds.

Caveats and Forward-Looking Considerations

It’s important to remember that a hold is not a permanent endorsement of economic strength – it’s a pause while the BoC assesses incoming data and risks. Shifts in global inflation, labour markets, or commodity prices could prompt future action. Moreover, the impacts of monetary policy typically lag – meaning it can take quarters or even years for rate decisions to fully ripple through households, firms, and markets. This is particularly true for sectors like real estate, where financing cycles and construction timelines are extended.

Disclaimer

This article is intended for educational and informational purposes only. It does not constitute financial, investment, tax, or legal advice, nor should it be used as the sole basis for making financial decisions. Readers should consult qualified professionals before making any decisions based on monetary policy developments.