Artificial intelligence has shaken up the investing landscape since the groundbreaking launch of ChatGPT in November 2022.
Since then, investors have poured money into all things related to AI as they hunt for the next big winners. In 2023, a group of major technology players dubbed the Magnificent Seven — Tesla, Amazon, Meta Platforms, Apple, Microsoft, Alphabet and Nvidia — contributed to a large chunk of the market’s rally.
Those tail winds continued into 2024, but even the winners eventually reach their limit. Indeed, some of this year’s highest fliers came down to earth on Friday, with Big Tech names dragging down the Nasdaq Composite by more than 2%.
“You have to do your work,” said Jay Woods, chief global strategist at Freedom Capital Markets. “You want to do the research, you want to know what you’re buying, you want to know the risks involved. In AI right now, there are a lot of unknowns.”
AI is poised to be a central theme as the technology transitions from early-stage winners to second-stage adopters. Portfolio and wealth managers say investors may want to undertake certain strategies if they’re looking for long-term plays in the space.
What to look for
There’s no secret formula to investing and picking artificial intelligence stocks, but investors can keep an eye on certain metrics and trends when weeding out the winners from the duds.
When investing in any new industry, Carol Schleif, chief investment officer at BMO Family Office, recommends that investors keep an eye on companies’ cash burn and how they are spending their money. Be attentive to the fine details, including how a company works through a backlog and how much money it devotes toward infrastructure.
When it comes to chip stocks, Schleif also recommends taking a look at government grants. The industry won big in 2022 when President Joe Biden signed the CHIPS Act into law. The measure allocated funds toward building out semiconductor production on U.S. soil.
“Focus on the underlying fundamentals, and are they moving in the right direction, [rather] than just last quarter’s earnings,” Schleif advised.
Investors should also avoid blindly chasing the hot winners that have benefited from AI enthusiasm. For Laffer Tengler Investments CEO and CIO Nancy Tengler, that means looking at some of the old-economy stocks embracing the new digital wave. She likes Microsoft and IBM, a pair of tech industry veterans.
When building any portfolio, financial advisors and portfolio managers stress the importance of diversification — and the same applies to AI.
An exchange-traded fund might be a good way to get that diversified exposure to a basket of stocks that could benefit from the AI theme, rather than sticking with one or two promising names.
Consider diversifying through ETFs
Selecting ETFs that incorporate dozens of names can be a lower-risk way to diversify, said Marguerita Cheng, a certified financial planner and CEO of Blue Ocean Global Wealth in Gaithersburg, Maryland.
“That’s one way to get some exposure without putting the proverbial all the eggs in that one basket,” said BMO’s Schleif. “You want to be able to focus on a few different avenues such that you can withstand the volatility.”
AI ETFs and their performance in 2024
Ticker
Name
Expense ratio
%chg ytd
BOTZ
Global X Robotics and Artificial Intelligence ETF
0.68%
0.53%
ROBT
First Trust Nasdaq AI and Robotics ETF
0.65%
-10.34%
AIQ
Global X Artificial Intellligence & Technology ETF
0.68%
0.90%
CHAT
Roundhill Generative AI and Technology ETF
0.75%
3.20%
Source: fund websites, FactSet
Volatility can be a bitter pill, particularly for newer investors. Stocks tend to rise at first when a new theme hits the mainstream, but often suffer at some point from volatility and pullbacks, said Helen Dietz, a CFP and managing director at Aspiriant.
“The newer the trend, the more volatile the trend,” she said. “The corrections of those individual stocks, or those sectors, can be quite violent at times, which is not unusual, and the investing public gets scared out of that.”
To that effect, Nvidia’s shares suffered a setback on Friday when they tumbled 10% and posted their worst day since March 2020. The decline put a sizable dent into the chip stock’s year-to-date gains, but it remains up nearly 54% in 2024. Fellow AI play Super Micro Computer also took a nosedive that day, dropping 23%.
ETFs typically include a range of names and can vary in weighting. Though the BOTZ ETF and the Roundhill Generative AI and Technology ETF (CHAT), both currently lag some of this year’s popular AI winners. However, the underlying names are varied: BOTZ holds Nvidia and robotics play Intuitive Surgical, while CHAT’s top holdings include Microsoft, Meta and ServiceNow.
Schleif recommends looking for ETFs with high trading volume and backed by reputable companies. Investors should also be mindful of fees, which can take a bite out of returns if they are too high.
While the gains may fall short of the surge seen in stocks such as Nvidia and Meta, ETFs allow investors to obtain lower-risk exposure to the sector, Woods said. Longer term, investors can also use the leadership in these funds to consider picking out individual names further down the road.
“The old cliché is timing the market and then hoping you find that individual stock that can really be the big performer,” Woods said. “If you want to be involved, you want to be diversified and I think an ETF is the best way to do that.”
The global private credit market has solidified its role as a fundamental pillar of enterprise finance, expanding rapidly across middle-market lending, asset-backed finance, and infrastructure financing. As non-bank financial institutions capture a larger share of corporate debt origination, global regulatory bodies are increasing oversight to evaluate market transparency and systemic risk interconnections.
Growth Drivers in Direct Lending
Direct lending platforms have continued to attract substantial institutional allocations from pension funds, sovereign wealth entities, and insurance companies seeking attractive risk-adjusted yields. Private debt funds offer corporate borrowers customized financing structures, faster execution timelines, and confidentiality compared to syndicated loan markets.
In 2026, private credit managers are increasingly financing larger corporate transactions, providing multi-billion-dollar credit facilities for buyout deals and corporate restructurings. The flexibility of private debt contracts—featuring unitranche pricing and tailored covenant packages—has made direct lending the preferred capital source for middle-market enterprise sponsors.
Regulatory Scrutiny and Systemic Risk Assessment
The rapid growth of non-bank intermediation has drawn heightened scrutiny from financial regulators in North America and Europe. Because private debt agreements are negotiated privately without public exchange disclosures, central banks are evaluating potential vulnerabilities related to asset valuation consistency and fund liquidity profiles.
Regulatory agencies are introducing guidelines aimed at improving reporting standards for private investment vehicles managing institutional assets. Key focus areas include monitoring leverage ratios within private credit funds and evaluating indirect credit exposures between commercial banking institutions and private debt funds.
Navigating Elevated Refinancing Costs
With benchmark interest rates remaining elevated, private debt borrowers face higher debt service obligations on floating-rate credit facilities. Financial advisory firms report an increase in proactive liability management strategies, including payment-in-kind (PIK) interest options, equity infusions from sponsors, and covenant modifications.
Private credit managers with deep operational capabilities are actively working alongside portfolio companies to optimize working capital and maintain cash flow coverage ratios during periods of higher borrowing costs.
Key Financial Takeaways
1. Mainstream Asset Class: Private credit has expanded beyond niche alternative asset status into a core corporate finance solution.
2. Enhanced Transparency Standards: Regulatory frameworks are evolving toward greater disclosure requirements for private debt managers.
3. Proactive Risk Management: Lenders and sponsors must prioritize debt sustainability and active portfolio monitoring amid high benchmark rates.
The global venture capital (VC) ecosystem is operating under a disciplined investment framework in 2026. Following years of valuation adjustments and shifting liquidity environments, venture capital firms and private equity investors are prioritizing proven unit economics, positive cash flow pathways, and capital efficiency over rapid, unconstrained user acquisition.
The Shift Toward Disciplined Startup Valuations
Early-stage and growth-stage startup valuations have stabilized at sustainable historical averages. Venture capital partners are conducting rigorous due diligence processes before deploying capital, scrutinizing gross margins, customer acquisition costs (CAC), net revenue retention (NRR), and lifetime value (LTV) metrics.
While total capital deployed remains robust, seed and Series A funding rounds are taking longer to finalize. Founders are expected to demonstrate clear product-market fit and defensible intellectual property rather than relying on top-line revenue projections unsupported by strong underlying economics.
M&A Activity and Liquidity Solutions
The market for venture-backed exits is seeing renewed momentum through strategic mergers and acquisitions (M&A) and secondary market liquidity facilities. Established corporate enterprises are acquiring high-performing technology startups to integrate proprietary artificial intelligence models and specialized software solutions into their product ecosystems.
Simultaneously, secondary market transactions have become an essential liquidity mechanism for early employees and institutional investors. Specialized secondary funds are purchasing pre-IPO shares at discounted valuations, providing liquidity opportunities while companies remain private for longer durations.
Sector Allocation: Deep Tech, Clean Energy, and Enterprise Automation
Venture capital investment is heavily concentrated in deep technology and capital-intensive engineering sectors. High-growth investment themes include:
– Next-Generation Semiconductors: Hardware startups designing specialized AI processors and energy-efficient microchip architectures.
– Clean Technology: Battery chemistry innovations, carbon capture solutions, and grid-scale energy storage startups.
– Enterprise Process Automation: Software platforms that automate complex workflows in healthcare, financial services, and industrial logistics.
Key Insights for Entrepreneurs and Investors
1. Prioritize Capital Efficiency: Startups focused on achieving operational profitability receive higher valuation premiums from institutional investors.
2. Strategic Exit Planning: Corporate M&A is serving as a primary exit route for venture-backed startups navigating prolonged IPO windows.
3. Focus on High-Moat Technologies: Deep tech and proprietary software architectures are securing the majority of growth-stage capital allocations.
The infrastructure supporting global commerce is undergoing a major technological upgrade as real-time digital payment rails, cross-border settlement solutions, and Central Bank Digital Currency (CBDC) pilot programs achieve widespread commercial adoption. Financial institutions and fintech developers are reimagining payment processing to eliminate friction, lower transaction fees, and accelerate settlement speed.
Transforming Cross-Border Settlement Infrastructure
For decades, international corporate payments relied on legacy correspondent banking networks characterized by multi-day settlement delays, opaque fee structures, and high foreign exchange markups. In 2026, modern cross-border payment networks are enabling near-instantaneous settlement for international trade transactions.
Financial technology platforms are leveraging distributed ledger technology and real-time gross settlement (RTGS) interconnections to settle transactions in seconds. International trade participants benefit from reduced working capital requirements and minimized foreign exchange volatility risks during cross-border transfers.
Commercial Expansion of Central Bank Digital Currencies
Central banks representing major global economies are advancing CBDC initiatives from research phases into active commercial deployment. Wholesale CBDCs—designed specifically for interbank settlement and financial institution clearing—are demonstrating substantial efficiency gains in domestic and international transactions.
At the retail level, several nations have introduced public digital currency options alongside existing commercial banking networks. These sovereign digital payment channels aim to expand financial inclusion, lower consumer transaction fees, and improve the efficiency of government-to-citizen financial disbursements.
Open Banking and Embedded Finance Ecosystems
Alongside settlement infrastructure upgrades, open banking regulations and embedded finance frameworks are transforming merchant-consumer interactions. Commercial businesses across retail, travel, and business-to-business (B2B) services are integrating seamless payment APIs directly into their customer software interfaces.
Through open banking frameworks, consumers can initiate secure bank-to-bank payments without relying on traditional credit card networks, significantly reducing merchant processing fees. Integrated Buy-Now-Pay-Later (BNPL) options and point-of-sale credit facilities continue to expand, driving higher conversion rates for digital commerce platforms.
Strategic Financial Takeaways
1. Treasury Optimization: Corporate treasurers should leverage instant cross-border payment platforms to minimize liquidity buffers and foreign exchange exposure.
2. CBDC Integration: Financial institutions must prepare internal core banking systems to interface with emerging wholesale CBDC payment rails.
3. Merchant Fee Reduction: Enterprise merchants can lower payment processing overhead by adopting account-to-account (A2A) open banking checkout solutions.
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