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Retirement Confidence Holds Steady Despite Nearly Half of Non-Retirees Doubting They’ll Fully Retire, Thrivent Survey Finds

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Nearly three in five non-retirees say they’re confident they’ll have enough money to retire from their primary career on schedule.At the same time, nearly half of non-retirees are skeptical they’ll ever be able to fully retire.AI, rising costs and economic uncertainty are adding new pressure to how Americans think about work, saving and retirement.

MINNEAPOLIS, July 15, 2026 /PRNewswire/ — Americans are still confident about retiring on time, but they’re less certain about what getting there will require—and what their retired years will look like. According to Thrivent’s 2026 Retirement Expectations Survey of more than 2,000 Americans, 58% of non-retirees say they’re confident they’ll have enough money to retire from their primary career on schedule, remaining steady from 2025. Yet nearly half (47%) remain skeptical they’ll ever be able to fully retire as artificial intelligence, rising costs and economic uncertainty reshape expectations for the future.

“The future has always brought uncertainty, but many Americans today are navigating a wider range of questions about work, the economy and retirement than they did just a few years ago,” said Thrivent Financial Advisor Jason Rogoff. “The good news is that retirement planning doesn’t require having all the answers. It requires a plan that can adapt as circumstances change. Regularly reviewing your goals and making adjustments along the way can help you stay on track, regardless of what the future brings.”

Thrivent’s survey, conducted by Ipsos, highlights emerging themes around Americans’ retirement expectations in 2026:

Younger Generations Are Most Concerned About AI’s Retirement Impact: Americans across generations are grappling with how advances in artificial intelligence could affect jobs, earnings and long-term retirement security.

Among non-retirees, Gen Z (63%) and Millennials (59%) are more likely than Gen X and Boomers (49% each) to anticipate a negative impact on their retirement from AI reducing the number of jobs.Retirees are also concerned, with 29% saying AI-driven changes to work have negatively affected their retirement, up from 20% in 2025.

Retirement Planning Takes a Backseat to Current Finances: Despite expressing confidence in their ability to retire on time, Americans are prioritizing their financial needs today instead of planning and saving for the future.

Nearly two-thirds (64%) of non-retirees say they are more focused on their current financial situation than planning for retirement.More than one-third (35%) of non-retirees also say they feel behind their peers when it comes to retirement planning, driven largely by the high cost of living (53%) and not earning enough to save for retirement (47%).

Economic and Global Events Are Having a Greater Impact on Retirees: Retirees are increasingly reporting that factors beyond their control—from inflation to geopolitical uncertainty—have had a notable impact on lifestyle and retirement planning for many Americans in the past year.

Compared to Thrivent’s 2025 survey, retirees in 2026 are much more likely to cite negative impact on their retirement from factors such as inflation (70% vs 57%), political instability (61% vs 48%), and global economic conditions (54% vs. 44%).

Rethinking what Retirement Looks Like: For many Americans, retirement is becoming less of a finish line and more of a transition, with work and other financial considerations continuing to play a role later in life.

47% of non-retirees are skeptical they will ever be able to fully retire.Many expect work to remain part of the equation, with 36% anticipating earning income at some point after retiring from their primary career.The absence of an expected inheritance is also shaping retirement outlooks. Among non-retirees who feel behind in retirement planning, 37% cite not having or expecting an inheritance as a contributing factor. Millennial non-retirees are more likely than Gen Z to point to a lack of inheritance as a reason for feeling behind in retirement planning.

Thrivent Financial Advisor Jason Rogoff works with clients at every stage of their financial journey, from entering the workforce to preparing for retirement and navigating life after a primary career. He offers three strategies to help people stay focused on their long-term goals while adapting to changing economic and personal circumstances:

Stay Flexible and Adjust as Conditions Change: A retirement plan shouldn’t be set in stone. Markets, inflation, interest rates and other economic factors will continue to evolve over time, potentially affecting both savings strategies and retirement timelines. Regularly reviewing your plan can help ensure you make thoughtful adjustments while staying focused on long-term goals.Set Realistic Goals and Start Early: Retirement planning is more manageable when goals are both realistic and achievable. Breaking larger retirement objectives into smaller milestones can help create momentum and make progress easier to track. Starting early can also make a significant difference over time. In fact, among non-retirees who feel ahead in retirement planning, 60% say it’s because they started saving at an early age. Even modest contributions can benefit from years of compounded growth.Work With a Financial Advisor: Retirement planning involves important decisions about saving, investing, income and risk management. A trusted advisor can help you build a personalized strategy, navigate changing circumstances and make informed decisions with greater confidence.

Said Rogoff, “While the future may look different than previous generations expected, the fundamentals of retirement planning remain the same: start where you are, stay flexible and focus on the decisions you can control.”

To discuss the survey findings and advice from Thrivent Financial Advisor Jason Rogoff, please email: Nathan.Dupont@thrivent.com or mediarelations@thrivent.com.

About Thrivent
Thrivent is a Fortune 500 financial services company that helps build, grow and protect financial well-being through purpose-driven advice, investments, insurance, banking and generosity programs. Thrivent serves more than 2.4 million clients through thousands of financial advisors across the country and has more than $212 billion in assets under management/advisement (as of 12/31/25). Thrivent carries strong financial ratings from independent rating agencies – including AM Best, Moody’s and S&P Global Ratings – which demonstrate the company’s financial strength, stability and ability to pay claims. Ratings don’t apply to investment product performance and more information can be found on each rating agency’s website. For more information about Thrivent, visit Thrivent.com or find us on Facebook, Instagram and LinkedIn.

About Ipsos
Ipsos is the world’s third largest market research company, present in 90 markets and employing nearly 20,000 people.

Our passionately curious research professionals, analysts and scientists have built unique multi-specialist capabilities that provide true understanding and powerful insights into the actions, opinions and motivations of citizens, consumers, patients, customers or employees. We serve more than 5000 clients across the world with 75 business solutions.

Founded in France in 1975, Ipsos is listed on the Euronext Paris since July 1st, 1999. The company is part of the SBF 120 and the Mid-60 index and is eligible for the Deferred Settlement Service (SRD).

ISIN code FR0000073298, Reuters ISOS.PA, Bloomberg IPS:FP www.ipsos.com

Survey Methodology
This poll was conducted by Ipsos on behalf of Thrivent from June 15 – June 22, 2026, using the probability-based KnowledgePanel®. This poll is based on a nationally representative probability sample of 2,032 general population Americans. The margin of sampling error for the U.S. gen pop sample is plus or minus 2.2 percentage points at the 95% confidence level, for results based on the nationally representative total. The margin of sampling error takes into account the design effect, which was 1.06.

Thrivent is the marketing name for Thrivent Financial for Lutherans. Insurance products issued by Thrivent. Not available in all states. Securities and investment advisory services offered through Thrivent Investment Management Inc., a registered investment adviser, member FINRA and SIPC and a subsidiary of Thrivent. Thrivent.com/disclosures.

Media Contact
Nathan Dupont
nathan.dupont@thrivent.com
414-550-2204

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SOURCE Thrivent

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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