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AI Not the Main Pillar of U.S. Economy in 2025, Macro Report Finds, Tempering Bubble Fears

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Despite the headlines, hype, and multi-trillion-dollar valuations tied to artificial intelligence, a new economic report suggests that AI was far from the dominant force that drove U.S. growth in 2025.

While AI investment captured investor attention and reshaped corporate priorities, the economy’s real backbone remained household spending, imports-adjusted domestic investment, and traditional drivers of consumption.

Macro Research Board Partners, an economic research platform, published the report in January, authored by strategist Prajakta Bhide. The research directly challenges the popular narrative that the U.S. economy’s growth is narrowly concentrated in AI and thus highly vulnerable to a sector-specific downturn.

“In short, without an AI boom, there would have certainly been less GDP growth last year, but there would also have been fewer imports, so that overall real growth would still have been decent,” Bhide wrote.

Consumers Remain the True Engine of Growth

Personal consumption — spending by households — remained the primary driver of GDP in 2025, even as aggregate income growth slowed and job gains remained modest. “Consumers continue to be the backbone of the economy,” Bhide told Business Insider. “There is a divide between what consumers say they feel and what they say that they’re going to do versus what they actually go and do.”

Despite cautious sentiment, households continued to spend, helping sustain overall economic growth.

This distinction is important because much of the AI-driven investment surge is in imported hardware, including high-performance computing chips, servers, networking equipment, and specialized data-center infrastructure. While these expenditures are significant, they do not directly add to GDP. After adjusting for imports, AI’s contribution to growth is substantially smaller than market perception might suggest.

AI as a Secondary, Not Primary, Driver

The report emphasizes that AI contributed to GDP mostly through software development, cloud-based services, and other domestic investment, while the physical infrastructure side — data centers, imported servers, fiber-optic networks, and GPUs — had a negligible net contribution to GDP.

“Although a negative shock to the optimism around AI implies a risk to GDP growth,” Bhide wrote, “the more realistic (and smaller) estimate of AI’s growth impact after adjusting for imports dispels the popular notion that the U.S. economy would falter without it.”

Historically, recessions are rarely triggered by a pullback in consumer spending before job losses occur. Business Insider has noted that consumer spending tends to weaken after economic downturns take hold, suggesting that fears of an AI-induced collapse might overstate the risk.

Corporate and Market Implications

The report also indirectly touches on stock-market dynamics. The U.S. tech giants driving the AI hype — including Nvidia, Alphabet, Microsoft, Amazon, and Apple — are collectively valued at roughly $22 trillion. Much of the perceived economic risk associated with AI is linked to market volatility in these companies rather than a direct GDP effect. Analysts have noted that even if AI-related enthusiasm were to cool sharply, the broader economy is unlikely to collapse, given the deep, stable reliance on consumer spending and diversified corporate investments.

Bhide’s analysis also highlights the structural difference between AI investment and traditional GDP contributors. While AI spending can be large, it is concentrated among a handful of firms and sectors, creating what she calls “narrowly concentrated” growth. By contrast, personal consumption spans nearly all households, making it far less volatile as an economic stabilizer.

The findings also carry important implications for policymakers and investors. While government and private investment in AI remains strategically important, supporting national competitiveness, technological leadership, and high-value job creation, fears that AI alone underpins U.S. economic growth appear overstated. Infrastructure investment in AI and advanced computing will continue to reshape industry, but the economy’s resilience remains anchored in everyday consumer behavior.

Moreover, understanding the limited GDP contribution of imported hardware helps clarify the economic trade-offs of AI investment. Trillions of dollars may flow into advanced equipment, but the direct domestic contribution is modest until associated services, software, and manufacturing are scaled. The report suggests that a recalibration of expectations around AI’s macroeconomic impact may be warranted, with consumer spending continuing to play a leading role in sustaining U.S. growth.

While AI’s transformative potential in sectors from cloud computing to autonomous systems is undeniable, Bhide’s report makes it clear that the U.S. economy is not precariously balanced on algorithms and data centers. Consumers remained the true engine of growth in 2025, and AI’s GDP impact, though meaningful, was secondary.

The real risk from an AI slowdown lies more in financial markets and investor sentiment than in the underlying economy. The report’s findings suggest that even if the AI hype bubble were to deflate, the broader economy would likely continue to grow, albeit at a more measured pace. Policymakers, investors, and corporate leaders would be wise to distinguish between AI-driven market excitement and the fundamental drivers of economic resilience.

Coinbase Completes Solana DEX Integration As Coinbase Releases Post-Quantum Roadmap

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Coinbase has fully rolled out its integration with the Solana blockchain, enabling users to trade millions of Solana-based tokens directly within the Coinbase app via its built-in decentralized exchange (DEX) functionality.

This doesn’t require official centralized listings on Coinbase’s exchange—instead, it leverages Solana’s leading DEX aggregator, Jupiter, to handle routing and execution across various Solana DEXs for seamless swaps. Tokens become tradable almost immediately after launching on Solana (or Base), with no extra setup needed for projects.

The integration expands access to a massive number of tokens often cited in the millions and taps into Solana’s high-speed, low-cost ecosystem. It’s live for users in supported regions like the US excluding New York in some reports and Brazil, with phased global rollout.

Coinbase CEO Brian Armstrong highlighted the completion reaching “100%”, emphasizing faster trading, broader token access, and improved user experience. This move positions Coinbase more as an “everything app” for crypto, bridging custodial services with on-chain DeFi trading and boosting Solana’s visibility among mainstream users.

Coinbase Releases Post-Quantum Roadmap

Coinbase has outlined and is actively advancing a comprehensive post-quantum security roadmap to prepare for potential threats from quantum computing, which could eventually break current cryptographic algorithms used in blockchains.

A major recent step includes establishing an independent Advisory Board on Quantum Computing and Blockchain, featuring experts from academia and industry like affiliations with Stanford and UT Austin. The board will: Assess quantum risks to blockchain systems.

Publish position papers and security recommendations. Support real-time responses to quantum advances. The first position paper on quantum risk assessment and a resilience roadmap is expected early in 2026.

Broader elements of the roadmap include: Immediate product enhancements, such as updates to Bitcoin address handling to improve quantum resistance. Long-term cryptographic research, focusing on adopting post-quantum signature schemes e.g., lattice-based like ML-DSA.

Ongoing efforts to mitigate risks to assets like Bitcoin without hype-driven panic. This proactive stance addresses growing concerns in the crypto space about quantum threats, aiming to future-proof user funds and infrastructure.

Coinbase has also released related research insights on the quantum threat to Bitcoin and mitigation strategies. ML-DSA (Module-Lattice-Based Digital Signature Algorithm) is the standardized name for what was originally known as CRYSTALS-Dilithium.

It is a post-quantum digital signature scheme selected and finalized by NIST in FIPS 204. It provides strong security against both classical and quantum attacks, based on the hardness of lattice problems — specifically, the Module Learning With Errors (MLWE) problem and a variant called SelfTargetMSIS (a nonstandard Module Short Integer Solution problem).

ML-DSA operates over the polynomial ring Rq=Zq[X]/(X256+1)R_q = \mathbb{Z}_q[X] / (X^{256} + 1)R_q = \mathbb{Z}_q[X] / (X^{256} + 1), where q=8380417q = 8380417q = 8380417 (a prime), and uses the Number Theoretic Transform (NTT) for efficient polynomial multiplication.

All coefficients are integers modulo ( q ), and the scheme employs rejection sampling, hint-based compression, and pseudorandom expansion from seeds via SHAKE-256 XOF. Parameter SetsML-DSA defines three parameter sets, each targeting different NIST security strength categories roughly corresponding to classical security bits and quantum resistance.

These parameters balance security, key/signature sizes, and performance (higher parameters increase sizes but provide more security margin). Signatures are larger than classical schemes like ECDSA (64–72 bytes) or Ed25519 (64 bytes), but signing and verification are efficient (often comparable or faster in optimized implementations, especially with AVX2).

Signing (Sign); Uses Fiat-Shamir with aborts (rejection sampling) for zero-knowledge:Derive message hash ? = H(H(pk) || M). Derive per-signature randomness ?” from K, randomness, ?. Loop (rejection sampling): Sample masking y ? [-??+1, ??]^? from ?”. Compute w = A y ? decompose to high bits w?. Hash ? || Encode(w?) ? challenge polynomial c (sparse, exactly ? ±1 coeffs via SampleInBall). Compute response z = y + c s?. Check bounds: ?z?_? < ?? – ?, low bits of w – c s? within bounds, hint h = MakeHint(…) has ? ? 1’s. If any fail ? retry with new ?. Signature ? = Encode(Encode(c) || z mod ±q || h).

Provable security in the quantum random oracle model (EUF-CMA / SUF-CMA). Hedged signing using fresh randomness is recommended to resist side-channels; deterministic mode exists but is riskier.

ML-DSA is designed as a direct drop-in replacement for ECDSA/EdDSA/RSA signatures in protocols needing quantum resistance, though larger sizes require protocol adjustments (e.g., in TLS, certificates). For the full formal spec, algorithms, and proofs, refer to NIST FIPS 204.

EU–India Seal ‘Mother of All Deals’ as Landmark Trade Pact Cuts Tariffs on Over 90% of Goods

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India and the European Union have concluded a sweeping free trade agreement that will remove or sharply reduce tariffs on more than 90% of goods traded between the two economies, creating what European Commission President Ursula von der Leyen described as a free trade zone of nearly two billion people.

The deal, branded “historic” by both sides, comes at a moment of acute global trade tension. New Delhi is under pressure from steep U.S. tariffs on key exports, while the EU is recalibrating its trade relationships amid growing uncertainty in its long-standing economic ties with Washington under President Donald Trump.

Under the agreement, India will lower tariffs on a wide range of European products, including automobiles, machinery, and agricultural goods, while the EU will open its market further to Indian exports such as textiles, apparel, leather goods, marine products, chemicals, plastics, and gems and jewelry. Many of these Indian sectors have been directly hit by recent U.S. tariff hikes of up to 50%, making preferential access to the European market particularly significant.

“We have created a free trade zone of 2 billion people, with both sides set to gain economically,” von der Leyen said, adding that the agreement sends “a signal to the world that rules-based cooperation still delivers great outcomes.”

India’s Commerce and Industry Minister Piyush Goyal said the deal is expected to come into force in 2026, following ratification processes on both sides.

While India is only the EU’s ninth-largest trading partner—accounting for 2.4% of the bloc’s total goods trade in 2024—the EU is one of India’s most important commercial partners, alongside the U.S. and China. In financial year 2025, bilateral trade in goods between India and the EU reached 11.5 trillion rupees ($136.54 billion), with Indian exports at $75.85 billion and imports at $60.68 billion, according to India’s commerce ministry.

At the heart of the agreement are deep tariff concessions. The European Commission estimates that India will cut tariffs on European goods by around €4 billion ($4.7 billion) annually. More than 90% of EU exports to India—covering automobiles, machinery, chemicals, aircraft, and agri-food products—will face lower duties. Brussels said India has granted the EU tariff reductions that exceed those offered to any of its other trading partners.

One of the most striking elements of the deal is India’s willingness to ease protection in politically sensitive sectors. Tariffs on European cars will be reduced gradually from as high as 110% to 10%, while duties on car parts will be abolished over a period of five to ten years. European automakers with a presence in India include Renault, Volkswagen, BMW, and Mercedes-Benz.

India has also moved to nearly eliminate tariffs of up to 44% on machinery, 22% on chemicals, and 11% on pharmaceuticals. On agriculture, high duties on European exports such as wine, olive oil, spirits, and confectionery will be reduced or removed, giving EU producers preferential access to India’s fast-growing consumer market. At the same time, sensitive European agricultural sectors—beef, chicken meat, rice, and sugar—will remain protected from Indian imports.

Christophe Hansen, the EU’s commissioner for agriculture and food, said European wines, spirits, beers, and olive oil would enjoy preferential access to India under the agreement, calling it a major opportunity for European farmers and food producers.

Markets in India reacted nervously. Shares of major automakers fell on concerns about increased competition from European brands. Maruti Suzuki ended the day 1.5% lower, Hyundai Motor India closed down 3.6%, while Tata Motors and Mahindra & Mahindra fell 1.3% and 4.2%, respectively. Stocks of Indian alcoholic beverage companies also dropped, with Sula Vineyards sliding 4.1% and shares of United Breweries and United Spirits falling by more than 2%.

The Indian government sought to reassure investors, saying consumers would benefit from access to high-tech vehicles and greater competition, while Indian-made automobiles could also gain improved access to the EU market under reciprocal provisions.

But the gains could be substantial for India’s export sectors. Once the agreement takes effect, textiles, apparel, marine products, leather, footwear, chemicals, plastics, sports goods, toys, and gems and jewelry will face zero duties in the EU. These labor-intensive sectors account for about $33 billion in exports and were previously subject to EU tariffs ranging from 4% to 26%.

“This should boost India’s export competitiveness in these sectors, which are currently under strain due to higher U.S. tariffs,” said Sonal Varma, chief economist for India and Asia ex-Japan at Nomura.

The deal also carries major employment implications. Goyal said the agreement could generate six to seven million jobs in India’s textile sector alone, which is the country’s second-largest employer after agriculture. Beyond goods, the pact includes provisions allowing temporary entry and stay for professionals such as business visitors, intra-corporate transferees, contractual service suppliers, and independent professionals.

Analysts say India’s IT services, professional services, and education sectors are particularly well-positioned to benefit from these mobility clauses.

Geopolitically, the agreement is being closely watched in Washington. It is widely seen as a strategic hedge by both New Delhi and Brussels against increasingly unpredictable U.S. trade policy. Treasury Secretary Scott Bessent has already criticized the EU for pushing ahead with the deal, pointing out that Washington imposed 25% tariffs on India over its purchases of Russian oil, only for Europe to deepen trade ties with New Delhi.

President Trump has yet to comment publicly on the EU–India agreement, but the White House is unlikely to welcome a pact that reduces U.S. leverage over two major economic partners. India’s Petroleum and Natural Gas Minister Hardeep Singh Puri, however, struck a conciliatory tone, saying he expects U.S.–India relations to remain strong and expressing confidence that a bilateral trade deal with Washington would eventually be completed.

Indian Prime Minister Narendra Modi has praised the “landmark” agreement, echoing von der Leyen’s description of it as the “mother of all deals.” Both leaders are expected to highlight the pact at an EU–India summit, presenting it as a statement of commitment to open markets and multilateral trade at a time when global commerce is being reshaped by tariffs, geopolitics, and strategic rivalry.

With the ink barely dry, attention is now shifting from celebration to implementation—and to how the United States responds to a deal that signals India and Europe’s determination to diversify trade ties in an increasingly fragmented global economy.

Canada Stated it has No Plans for Free Trade Agreement with China

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Recent developments involve a limited, sector-specific trade agreement or preliminary deal between Canada and China, and Canada has explicitly stated it has no intention of negotiating a broader free trade pact.

Earlier in January 2026, Canada and China reached a deal that reduces tariffs in specific areas. This includes Canada lowering tariffs on a quota of about 49,000 Chinese electric vehicles (EVs) to around 6% removing a previous 100% surtax, alongside Chinese concessions like reduced tariffs on Canadian canola and visa-free travel for Canadians.

This is not a full free trade agreement (FTA) but a targeted tariff-reduction pact. U.S. President Donald Trump threatened to impose 100% tariffs on all Canadian goods entering the U.S. if Canada proceeds with or makes any significant “deal with China.”

This appears tied to concerns over China gaining indirect access to the U.S. market through Canada, potentially undermining U.S. tariffs on Chinese goods similar to past USMCA/CUSMA tensions.

Canadian Prime Minister Mark Carney stated clearly on January 25-26, 2026, that Canada has “no intention” of pursuing a free trade deal with China. He described the recent agreement as limited and not a broad FTA, emphasizing it’s consistent with existing trade frameworks like the USMCA (formerly NAFTA).

This came directly in response to Trump’s threats, effectively ruling out escalation to a full FTA. Canada isn’t abandoning an existing or imminent full FTA because one wasn’t on the table. They’re clarifying no such pursuit exists, likely to de-escalate U.S. tariff risks.

This reflects ongoing trade tensions in North America, with Trump using tariff leverage to influence allies’ dealings with China.

Canada had imposed a 100% surtax (additional duty) on Chinese-made electric vehicles (EVs), on top of the standard most-favoured-nation (MFN) tariff rate. This effectively made the total duty around 106.1% or higher in practice, mirroring or aligning with U.S. measures to restrict Chinese EV imports.

New arrangement

Under the preliminary agreement, Canada will allow a limited quota of Chinese EVs to enter at a significantly reduced rate:Annual quota: Up to 49,000 Chinese-made EVs initially some reports note this quota may increase over time, but 49,000 is the starting cap mentioned.

Tariff rate within quota: Reduced to the standard MFN rate of 6.1% essentially removing the 100% surtax for these units. Vehicles exceeding the quota would likely still face the higher tariffs/surtax, though specifics on over-quota treatment aren’t detailed in public announcements.

This change makes select Chinese EVs like models from BYD, NIO, or others like the Lotus Eletre produced in China much more price-competitive in Canada, potentially cutting landed costs by nearly half in some cases due to the tariff slash.

The EV provision is part of a broader, limited trade reset that includes reciprocal concessions from China, such as: Lowering tariffs on Canadian canola seed to a combined rate of approximately 15% by March 1, 2026 down from previous retaliatory rates around 84% or higher.

Expected visa-free travel for Canadian citizens to China. This is not a comprehensive free trade agreement (FTA) but a targeted, sector-specific deal focused on EVs, agri-food like canola, energy, and people-to-people ties.

Prime Minister Mark Carney has reiterated that Canada has no intention of pursuing a full FTA with China, especially amid U.S. President Trump’s threats of 100% tariffs on all Canadian goods if deeper ties proceed.

The deal aims to reset strained Canada-China relations stemming from past disputes over tariffs, Huawei, and more while staying within existing frameworks like the USMCA to minimize U.S. backlash. Implementation details like exact quota allocation, eligible models, or timelines beyond the initial cap may evolve through further negotiations.

Market Pauses on SOL and SHIB While ZKP Pushes 190M Tokens Into Circulation Every 24 Hours

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zkp

Crypto markets are entering a measured phase where follow-through has been limited, and conviction remains selective. Recent Solana price prediction discussions have cooled as SOL trades near key support after a volatile start to the month. Meanwhilem Shiba Inu price prediction chatter reflects a similar slowdown as SHIB consolidates below recent highs. Instead of sharp moves, price action across large-cap names has compressed.

In this environment, the conversation around the best crypto to buy is shifting. Rather than reacting to intraday candles, some participants are examining how projects structure access, distribution, and participation during quieter market phases.

That change in focus has brought renewed attention to Zero Knowledge Proof (ZKP), which is advancing a daily, on-chain distribution model that contrasts with the current hesitation seen in SOL and SHIB.

Solana Holds Key Ground as Activity Metrics Stay Elevated

Solana’s recent pullback has refocused attention on structural levels rather than momentum. SOL has hovered near the $130 zone, a level many traders now see as pivotal in Solana price prediction models. A hold above this area has historically supported recovery attempts, while a break would likely weaken near-term confidence.

Beyond price, network metrics remain notable. Roughly 70% of the circulating SOL supply is currently locked to support network operations, representing close to $60 billion in value. This has reduced liquid supply and strengthened network security, even as short-term price action remains cautious. Analysts also point to stabilization signals from trend indicators that often precede either consolidation or a directional move.

For now, Solana sits in a wait-and-see phase. While long-term projections remain ambitious, near-term Solana price prediction frameworks emphasize support defense and volume confirmation before any sustained upside can be considered. This pause has left room for alternative narratives to gain traction.

Shiba Inu Trades Defensively as Leverage & Flows Cool

Shiba Inu has also shifted into a more defensive posture following its early-January advance. SHIB is trading near $0.00000793, down from the $0.00001008 peak that marked the top of its recent rally. From a Shiba Inu price prediction perspective, this move has placed the token back below mid-range Fibonacci levels, forcing buyers to defend nearby support.

Derivatives data reflect this caution. Open interest, which previously exceeded $500 million during peak speculation, has contracted sharply to around $88.5 million, indicating that leverage has largely unwound. Spot flow data reinforces this tone, with recent readings showing approximately $609,700 in net outflows, suggesting sellers remain active during rebounds.

Technically, the immediate support band between $0.00000793 and $0.00000759 is now critical. A failure there could expose $0.00000682, while a recovery would require a reclaim of $0.00000806 and sustained acceptance above the $0.00000868–$0.00000875 zone. As with SOL, Shiba Inu price prediction discussions currently favor consolidation over acceleration.

ZKP Pushes 190M Tokens Into Circulation Every 24-Hour Cycle

Zero Knowledge Proof is drawing attention for how participation is structured rather than how the price changes day to day. ZKP operates a daily, on-chain presale auction that releases 190 million ZKP every 24 hours through a proportional contribution model. There are no fixed prices, private allocations, or preferential access, and tokens are claimable immediately after each auction window closes.

Alongside this mechanism, ZKP is running a $5 million USD giveaway, with 10 winners receiving $500,000 worth of ZKP each. Entry requirements emphasize engagement: holding ZKP, following official channels, sharing the giveaway, and referrals. For people looking for the best crypto to buy, this time-bound structure and transparent access have become part of the appeal during a low-momentum market.

ZKP is designed as a Substrate-based Layer 1 supporting both EVM and WASM execution. It uses zero-knowledge proofs to verify off-chain computation on-chain, enabling complex workloads to be validated without exposing underlying data. Dedicated hardware devices known as Proof Pods perform these computations and generate proofs.

Proof Pods earn ZKP only when tasks are validated. Rewards are calculated using the previous day’s auction reference price, creating a consistent and transparent payout framework. A level-based model determines earning capacity, with higher levels generating proportionally higher rewards tied directly to verified work.

Transparency is central to the system. Every task, proof, and ZKP reward is verifiable on-chain. Users can monitor task history, real-time compute metrics, daily uptime, rewards by level, and upgrade impact through a personalized dashboard and device interface. This visibility is increasingly cited by participants comparing ZKP with other options when weighing the best crypto to buy in a cautious market.

Why Attention Is Shifting

The contrast between consolidation in established assets and structured participation models is becoming clearer. Solana and Shiba Inu price prediction narratives both point to patience, not momentum. In parallel, ZKP’s defined timelines, daily distribution, and verifiable mechanics offer a different way to engage.

As markets reassess risk and timing, the debate around the best crypto to buy is broadening beyond short-term charts. Instead of chasing breakouts, some participants are focusing on how projects operate during quieter phases. Whether SOL and SHIB eventually resume trend moves or extend consolidation, ZKP’s 200M-per-day structure has positioned it firmly within that evolving conversation.

Website: https://zkp.com/

Auction: https://auction.zkp.com/

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