Knicks 123, Trail Blazers 114 — A Night of Small Edges and Big Comebacks

The Moda Center felt electric but not out of control on January 11, 2026 — a tight, high-energy game that swung like a pendulum before the New York Knicks grabbed the final momentum and walked away with a 123-114 win. This wasn’t a blowout or a buzzer-beater; it was a game decided by composure, timely defense and a few veteran plays down the stretch. For Knicks fans, it was a welcome reset after a rough stretch. For Portland, it was a test of depth and health that raised new questions.

Why this game mattered

• The Knicks were coming off a slump, having lost five of six. A road win against a streaking opponent was exactly the kind of reset they needed.
• The Trail Blazers had been rolling — five straight wins — and are trying to prove they can compete in tight spots without their full complement of stars.
• Returns and injuries shaped the narrative: Josh Hart returned for New York after an ankle injury; Jrue Holiday returned for Portland after a calf issue; late in the game Deni Avdija exited with a back tweak that could matter for Portland’s short-term outlook.

What swung the game

• Veteran play and late-game poise: Jalen Brunson (26 points) and OG Anunoby (24) took control when it mattered. Brunson’s scoring and ball security in the fourth pushed the Knicks separation when the Blazers tried to rally.
• A balanced attack: Karl-Anthony Towns added 20 points and 11 rebounds, and Josh Hart contributed a breezy 18 in his first action since Christmas. The Knicks didn’t rely on one hot streak — multiple contributors kept the offense rolling.
• Portland’s resilience — and limits: Deni Avdija poured in 25 for the Blazers and helped keep them in the fight, but his late injury and the team’s thin depth exposed Portland when the Knicks tightened defensively. Jrue Holiday offered a measured return (8 points in 16 minutes), but the Blazers still felt the absence of full-strength continuity.

Midgame turning points

• Third-quarter control: The Knicks built a 10-point edge in the third, looking like they might pull away — only to see Portland rally and tie it early in the fourth. That back-and-forth set the stage for a tense finish.
• Late baskets and defensive stops: Miles McBride’s pullup 3 at 3:47 left the Knicks ahead 109-104 and felt like a tone-setter; Brunson’s later 3 at 2:23 extended the gap and took the sting out of Portland’s comeback attempts.

What the box score tells you

• Balanced scoring: Several Knicks finished with high-teen or 20+ point nights, preventing Portland from focusing on one star.
• Rebounding and second-chance points swung momentum at times, but New York’s late defensive focus (limiting transition and miscues) created separation down the stretch.
• Injuries remain a variable: Avdija’s late back issue — he left after grabbing his back — is the kind of in-game moment that can affect rotations and upcoming matchups for Portland.

A few quick numerical observations:

• Jalen Brunson: 26 points, the steady hand in crunch time.
• OG Anunoby: 24 points and defensive presence across 34 minutes.
• Deni Avdija: 25 points for Portland before exiting late.

(Stats referenced from game coverage and box score reports.)

What this means for both teams

• Knicks: This win can be a psychological turning point. Snapping Portland’s five-game streak and getting meaningful contributions from returning players like Josh Hart helps stabilize rotations and confidence. For a team that’s had streaky stretches, a composed road win matters more than a highlight play.
• Trail Blazers: The Blazers keep showing fight, but health and depth are the bottlenecks. Jrue Holiday’s return is a positive, but late injuries (like Avdija’s back) and the limited minutes of key players leave Portland vulnerable in tight games. They’ll need players beyond the usual rotation to step up if they want to sustain a run.

Three practical takeaways

• Veteran stability matters: In a close fourth quarter, experienced scorers who can avoid turnovers and hit clutch shots make all the difference.
• Health is destiny: Returns help, but lingering or new injuries (especially late-in-game ones) can blunt a team’s momentum and force rapid rotation changes.
• Balanced offenses are tougher to stop: When multiple players can score 15–25 points, opponents can’t key-in on a single defensive game plan.

My take

This game felt like a microcosm of the current NBA midseason: talent everywhere, but the teams that win are the ones that manage the small things — fouls, turnovers, late possessions, and player health. The Knicks showed they can lean on vets and still get production from role players; the Blazers showed grit but also the fragility that injuries can impose. If Brunson, Towns and Anunoby continue to click, the Knicks look like a team that can turn a middling stretch into a solid second half. Portland’s ceiling still depends on bodies staying available and some younger pieces growing into more consistent two-way roles.

Final thoughts

A 123-114 scoreline doesn’t tell the full story — the game lived in the ebb and flow between urgency and composure. For New York, this was a confidence-building win. For Portland, it’s a reminder that every inch matters when rosters are tested. Expect both teams to be active, hungry and a bit cautious as they navigate the next few weeks.

Sources

• Knicks 123-114 Trail Blazers (Jan 11, 2026) Game Recap — ESPN
  https://www.espn.com/nba/recap/_/gameId/401810406

• Knicks end Trail Blazers' 5-game winning streak with 123-114 victory — AP/CBS Sports recap
  https://www.cbssports.com/nba/gametracker/recap/NBA_20260111_NY%40POR

• Knicks vs Trail Blazers box score and advanced stats — ESPN game page
  https://www.espn.com/nba/game/_/gameId/401810406

The new aristocracy: how AI is minting a class of "Have-Lots" — and why Washington helps keep them that way

AI isn't just rearranging industries. It's rearranging who gets the upside. Over the past two years, the winners of the AI boom have stopped being a diffuse set of tech founders and turned into a concentrated, politically powerful cohort — the "Have-Lots." They're not just richer; they're increasingly invested in preserving the political and regulatory status quo that lets their gains compound. That matters for jobs, markets, and the future of U.S. policymaking.

At a glance

• The AI era has created a distinct elite — the Have-Lots — whose wealth rose far faster than the rest of the country in 2025.
• Their advantage comes from outsized equity positions, privileged access to private deals, and close ties to government.
• That concentration of money and influence makes policy outcomes (taxes, regulation, export controls, procurement) more likely to favor continuity over disruption.
• The political consequence: an intensifying split between those who feel left behind and those who are financially insulated, which fuels polarization and public distrust.

Why "Have-Lots" are different this time

We’ve seen wealth concentration before, but AI is amplifying two key dynamics:

• Ownership leverage. AI value accrues heavily to the owners of critical IP, compute infrastructure, and data. A few companies and their insiders hold disproportionate slices of these assets — and their equity rewards are exponential when AI markets run hot.
• Private-market exclusivity. Much of the biggest early AI upside lives in private financings, venture rounds, and exclusive partnerships. Regular retail investors and most households simply can't access the same terms or allocations.
• Policy proximity. The largest AI players are now deeply embedded in Washington — through advisory roles, executive meetings, and lobbying — giving them influence over trade rules, export controls, procurement decisions, and the pace of regulation.

Axios framed the story as three economies — Have-Nots, Haves, and Have-Lots — and showed how 2025 became a banner year for a narrow group of ultra-wealthy Americans tied to AI and tech. The result: a class that benefits from market booms and tends to favor stability in the institutions that enabled their gains. (axios.com)

How money becomes political staying power

Money buys more than yachts. It buys lobbying, think tanks, campaign influence, and the ability to hire teams that translate business goals into policy narratives. A few mechanisms to watch:

• Lobbying and regulatory capture. Tech companies and large investors spend heavily on lobbying and hire former officials who understand how to shape rulemaking. That raises the cost (and political friction) for hard-curtailing policies.
• Strategic philanthropy and media influence. Big donations to policy institutes and universities can alter the research and messaging ecosystems, steering public debate toward industry-friendly framings.
• Access to procurement and export levers. Large AI firms can influence government purchasing decisions and negotiate carve-outs or implementation details that advantage incumbents. When export controls are on the table, these firms lobby for interpretations that preserve critical markets.
• Defensive investment strategies. The Have-Lots aren't just earning more — they're investing to fortify advantages (exclusive funds, acquisitions, cross-border deals) that make it harder for challengers to scale.

Real-world markers of this dynamic were visible in 2025: outsized gains for several tech founders and investors tied to AI, and public reports of deepening ties between major AI companies and government officials. Those links make changes to the rules — from tougher wealth taxes to stringent antitrust enforcement — both politically and technically harder to push through. (axios.com)

What it means for average Americans and markets

• Wealth inequality meets political inertia. When the richest segment accumulates both capital and influence, reform that would rebalance outcomes becomes more difficult. That leaves many households feeling the economy is working against them even when headline GDP and markets climb.
• Labor displacement and retraining get politicized. Workers worried about AI-driven job loss will look for policy fixes. If those fixes threaten concentrated interests, pushback and gridlock are likely.
• Market distortions. Concentration of AI capital can inflate a narrow set of winners (chipmakers, cloud infra, platform owners) while starving broader innovation in complementary areas. That can deepen sectoral risk even as headline indices rise.
• Policy unpredictability. The tug-of-war between populist pressures and elite influence can produce swings — intermittent regulation, targeted carve-outs, or transactional interventions — rather than coherent long-term strategy.

Where policymakers might push back (and the headwinds)

• Wealth and corporate taxation. Targeted tax changes could blunt accumulation, but they face political, legal, and lobbying resistance — especially if the Have-Lots effectively argue that higher taxes will slow innovation or capital investment.
• Antitrust and competition policy. Strengthening antitrust tools could lower concentration, yet enforcement takes time and expertise, and the enforcement agencies often duel with well-resourced legal teams.
• Procurement reform and open access. Government can favor open standards and wider procurement rules, but incumbents lobby to maintain advantageous arrangements.
• Democratizing access to AI gains. Proposals to expand employee equity, broaden retail access to private markets, or invest in public AI infrastructure could help, but they require political coalitions that cut across partisan lines — a tall order in the current climate.

Axios and reporting elsewhere highlight that many of the Have-Lots actively prefer the current mix of regulation and government interaction because it preserves their returns and strategic position. That creates a structural incentive to resist reforms that would meaningfully redistribute AI-driven gains. (axios.com)

My take

We’re at a crossroads where technological change is colliding with political economy. The Have-Lots are not just a distributional outcome — they're a political force. If the U.S. wants AI broadly to raise living standards rather than concentrate windfalls, the policy conversation needs both humility (tech evolves fast) and muscle (policy and public institutions must adapt faster).

That will mean designing pragmatic, durable interventions: smarter tax code adjustments, stronger competition enforcement, transparent procurement that favors open systems, and public investments in training and AI infrastructure that broaden participation. None are magic bullets, but together they can slow the drift toward a permanently bifurcated economy.

Final thoughts

We can admire the innovation that produced AI — and still question who gets the upside. Right now, the Have-Lots have structural advantages that let them lock in gains and political protections. If that trend continues unchecked, it will shape not only markets, but the public’s faith in institutions. The policy challenge is to make the rewards of AI less gated and the rules of the game more inclusive — a task that will require both political courage and technical nuance.

Sources

• Behind the Curtain: The Haves, Have-Nots, Have-Lots economy — Axios.
  https://www.axios.com/2026/01/12/ai-winners-wealth-inequality. (axios.com)

• Nvidia CEO's net worth nears $120 billion as shares surge on Saudi chip deal — Reuters.
  https://www.reuters.com/technology/nvidia-ceos-net-worth-nears-120-billion-shares-surge-saudi-chip-deal-2025-05-13/. (reuters.com)

• Nvidia CEO Huang sells $15 million in stock for his $873 million plan — CNBC.
  https://www.cnbc.com/2025/06/24/nvidia-ceo-jensen-huang-sells-stock-15-million.html. (cnbc.com)

Upset at the PMAC: LSU Topples No. 2 Texas, 70–65

The Pete Maravich Assembly Center was electric — sold out, loud and pulsing with that particular kind of belief that only a packed college arena can generate. On January 11, 2026, LSU’s women’s basketball team fed off that energy and delivered a signature victory: a 70–65 win over No. 2 Texas. It wasn’t a blowout highlight reel, but a gritty, full-team performance that felt like the kind of game that can define a season.

Why this mattered

• Beating a top-two team at home changes perception. LSU’s 70–65 victory over an 18–0 Texas squad isn’t just one in the win column — it’s a statement that LSU can compete with the nation’s elite.
• Momentum and confidence are contagious. LSU had stumbled recently; this win provides a reset and shows resilience under Kim Mulkey’s leadership.
• The SEC shook a little bit. Texas remains a program to respect, but conference standings and March narratives are subtly different after a home upset like this.

The game in moments

• Slow first quarter, competitive first half: The teams traded baskets early and the first quarter ended tied 11–11. LSU closed the half with a buzzer-beater by Jada Richard to carry a five-point lead (30–25) into halftime. (LSU finished the half shooting 12-of-31.)
• Second-half toughness: LSU stretched its lead in the third and managed the Longhorns’ late rally in the fourth. Texas chipped away — including a 13–3 run that put the pressure on — but LSU hit the critical plays down the stretch to hold on.
• Paint and boards won it: LSU’s ability to rebound and convert inside proved decisive. The Tigers won the rebounding battle and limited Texas’s second-chance opportunities at key moments.
• Standouts: Mikaylah Williams led LSU with 20 points on 7-of-13 shooting and two 3s. For Texas, Madison Booker poured in 24 points (10-of-16), and Kyla Oldacre posted a 16/16 double-double in a losing effort.

Takeaways for fans and followers

• This was a full-team effort, not a one-player miracle. Multiple Tigers contributed double-figure scoring and timely defense.
• LSU’s home-court energy is real. A sold-out PMAC was a tangible advantage and the Tigers used it to control momentum at crucial stretches.
• Texas remains a top program — their late surge showed why they’re ranked — but LSU exposed vulnerabilities and earned a resume-boosting win that will matter on selection Sunday and in the polls.

Impact on both teams

• LSU: The win moves the Tigers to 16–2 and restores confidence after a couple of SEC stumbles. It validates Kim Mulkey’s message about toughness and should galvanize the roster for the stretch run.
• Texas: Falling to 18–1 halts an undefeated run and answers some questions about how the Longhorns respond to adversity away from home. They still have depth, star scoring and an elite resume, but this loss will give opponents hope and scouting material.

My take

Upsets like this boil down to more than X’s and O’s — they’re about identity and belief. LSU didn’t just outscore Texas; they played with a renewed edge and grabbed extra possessions when it mattered. That kind of win can be transformative, especially in a league as deep and competitive as the SEC. If LSU builds on this and tightens a few loose moments, they’ve shown they can be a dangerous team in March. And for Texas, the loss is a reminder that dominant records bring targets — and the best teams respond by learning fast.

Sources

• LSU Athletics — "LSU Takes Down Texas, 70-65" (January 11, 2026).
  https://lsusports.net/news/2026/01/11/lsu-takes-down-texas-70-65/
• University of Texas Athletics — "No. 2 Women's Basketball falls at No. 12 LSU, 70-65" (January 11, 2026).
  https://texaslonghorns.com/news/2026/1/11/no-2-womens-basketball-falls-at-no-12-lsu-70-65
• Burnt Orange Nation — "No. 2 Texas comes up short against No. 12 LSU, 70-65" (game recap).
  https://www.burntorangenation.com/texas-longhorns-womens-basketball/99896/texas-longhorns-65-lsu-tigers-70
• Louisiana Radio Network — "LSU Lady Tigers beat No. 2 Texas, 70-65" (January 12, 2026).
  https://louisianaradionetwork.com/2026/01/12/45002/